Thread by @stephenwithavee

Time for #PapersThatMakeYouGoHmmm! A weekly summary of new ML papers from arXiv that make me think one or more of:

1. That looks useful!
2. That's an interesting approach!
3. A business could be built around this!
4. How did they do that?!

Improving English to Sinhala Neural Machine Translation using Part-of-Speech Tag

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Designing Effective Sparse Expert Models

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Deep Interest Highlight Network for Click-Through Rate Prediction in Trigger-Induced Recommendation

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High-performance automatic categorization and attribution of inventory catalogs

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Probing Pretrained Models of Source Code

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Fairness constraint in Structural Econometrics and Application to fair estimation using Instrumental Variables

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Churn modeling of life insurance policies via statistical and machine learning methods -- Analysis of important features

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tinyMAN: Lightweight Energy Manager using Reinforcement Learning for Energy Harvesting Wearable IoT Devices

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Graph Data Augmentation for Graph Machine Learning: A Survey

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FLAME: Federated Learning Across Multi-device Environments

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PGCN: Progressive Graph Convolutional Networks for Spatial-Temporal Traffic Forecasting

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Simulating User-Level Twitter Activity with XGBoost and Probabilistic Hybrid Models

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Out of Distribution Data Detection Using Dropout Bayesian Neural Networks

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Effective Urban Region Representation Learning Using Heterogeneous Urban Graph Attention Network (HUGAT)

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A Free Lunch with Influence Functions? Improving Neural Network Estimates with Concepts from Semiparametric Statistics

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Quantifying the Effects of Data Augmentation

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PerFED-GAN: Personalized Federated Learning via Generative Adversarial Networks

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FinNet: Solving Time-Independent Differential Equations with Finite Difference Neural Network

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Learning Physics-Informed Neural Networks without Stacked Back-propagation

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Improving Molecular Contrastive Learning via Faulty Negative Mitigation and Decomposed Fragment Contrast

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ProxSkip: Yes! Local Gradient Steps Provably Lead to Communication Acceleration! Finally!

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Attacks, Defenses, And Tools: A Framework To Facilitate Robust AI/ML Systems

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Automated Attack Synthesis by Extracting Finite State Machines from Protocol Specification Documents

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PETCI: A Parallel English Translation Dataset of Chinese Idioms

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Survey of Machine Learning Based Intrusion Detection Methods for Internet of Medical Things

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Benchmarking the Linear Algebra Awareness of TensorFlow and PyTorch

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Photometric Redshift Estimation with Convolutional Neural Networks and Galaxy Images: A Case Study of Resolving Biases in Data-Driven Methods

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A Deep Learning Model for Forecasting Global Monthly Mean Sea Surface Temperature Anomalies

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TransDreamer: Reinforcement Learning with Transformer World Models

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Missing Data Infill with Automunge

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Numeric Encoding Options with Automunge

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Parsed Categoric Encodings with Automunge

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Improving the Level of Autism Discrimination through GraphRNN Link Prediction

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Personalized Federated Learning with Exact Stochastic Gradient Descent

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ChemTab: A Physics Guided Chemistry Modeling Framework

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AI/ML Algorithms and Applications in VLSI Design and Technology

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Toward more generalized Malicious URL Detection Models

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ICSML: Industrial Control Systems Machine Learning inference framework natively executing on IEC 61131-3 languages

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Enabling On-Device Smartphone GPU based Training: Lessons Learned

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UAV Base Station Trajectory Optimization Based on Reinforcement Learning in Post-disaster Search and Rescue Operations

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EINNs: Epidemiologically-Informed Neural Networks

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Hierarchical Deep Generative Models for Design Under Free-Form Geometric Uncertainty

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NU HLT at CMCL 2022 Shared Task: Multilingual and Crosslingual Prediction of Human Reading Behavior in Universal Language Space

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Ligandformer: A Graph Neural Network for Predicting Compound Property with Robust Interpretation

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A Deep Learning Approach to Predicting Ventilator Parameters for Mechanically Ventilated Septic Patients

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Incentive Mechanism Design for Joint Resource Allocation in Blockchain-based Federated Learning

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Single-Leg Revenue Management with Advice

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StickyLand: Breaking the Linear Presentation of Computational Notebooks

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Data-Driven Traffic Assignment: A Novel Approach for Learning Traffic Flow Patterns Using a Graph Convolutional Neural Network

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DeepSketch: A New Machine Learning-Based Reference Search Technique for Post-Deduplication Delta Compression

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On the Effectiveness of Adversarial Training against Backdoor Attacks

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Equivariant Graph Hierarchy-Based Neural Networks

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Targeting occupant feedback using digital twins: Adaptive spatial-temporal thermal preference sampling to optimize personal comfort models

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EIGNN: Efficient Infinite-Depth Graph Neural Networks

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A Review of Affective Generation Models

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Why Fair Labels Can Yield Unfair Predictions: Graphical Conditions for Introduced Unfairness

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Increasing Depth of Neural Networks for Life-long Learning

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Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations

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Message passing all the way up

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Weighted Programming

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Backdoor Defense in Federated Learning Using Differential Testing and Outlier Detection

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Differentiable and Learnable Robot Models

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Web of Scholars: A Scholar Knowledge Graph

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Reinforcement Learning from Demonstrations by Novel Interactive Expert and Application to Automatic Berthing Control Systems for Unmanned Surface Vessel

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Privacy issues on biometric systems

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Cooperative Behavioral Planning for Automated Driving using Graph Neural Networks

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Using Deep Reinforcement Learning with Automatic Curriculum earning for Mapless Navigation in Intralogistics

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GIFT: Graph-guIded Feature Transfer for Cold-Start Video Click-Through Rate Prediction

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TEE-based decentralized recommender systems: The raw data sharing redemption

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Super-resolution GANs of randomly-seeded fields

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Brain Structural Saliency Over The Ages

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Early Stage Diabetes Prediction via Extreme Learning Machine

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Classification of Computer Aided Engineering (CAE) Parts Using Graph Convolutional Networks

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The Larger The Fairer? Small Neural Networks Can Achieve Fairness for Edge Devices

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Preformer: Predictive Transformer with Multi-Scale Segment-wise Correlations for Long-Term Time Series Forecasting

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Deep Graph Learning for Anomalous Citation Detection

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Exploratory Methods for Relation Discovery in Archival Data

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A Differential Attention Fusion Model Based on Transformer for Time Series Forecasting

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Testing report of a fingerprint-based door-opening system

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Towards Tailored Models on Private AIoT Devices: Federated Direct Neural Architecture Search

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Learning Fast and Slow for Online Time Series Forecasting

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MuMiN: A Large-Scale Multilingual Multimodal Fact-Checked Misinformation Social Network Dataset

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Analysis of Coronavirus Envelope Protein with Cellular Automata (CA) Model

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Generative modeling via tensor train sketching

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Using Deep Learning to Detect Digitally Encoded DNA Trigger for Trojan Malware in Bio-Cyber Attacks

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No-Regret Learning in Games is Turing Complete

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Machine Learning for Intrusion Detection in Industrial Control Systems: Applications, Challenges, and Recommendations

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BERTVision -- A Parameter-Efficient Approach for Question Answering

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Quantum Deep Reinforcement Learning for Robot Navigation Tasks

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Are All Linear Regions Created Equal?

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Adversarially-regularized mixed effects deep learning (ARMED) models for improved interpretability, performance, and generalization on clustered data

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Investigating the effect of binning on causal discovery

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Training Characteristic Functions with Reinforcement Learning: XAI-methods play Connect Four

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NeuroView-RNN: It's About Time

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AutoCl : A Visual Interactive System for Automatic Deep Learning Classifier Recommendation Based on Models Performance

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Can deep neural networks learn process model structure? An assessment framework and analysis

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Self-Training: A Survey

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Activation Functions: Dive into an optimal activation function

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Optimal Learning Rates of Deep Convolutional Neural Networks: Additive Ridge Functions

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Systematic review of deep learning and machine learning for building energy

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Symphony: Composing Interactive Interfaces for Machine Learning

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Understanding and Shifting Preferences for Battery Electric Vehicles

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Private Quantiles Estimation in the Presence of Atoms

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The Response Shift Paradigm to Quantify Human Trust in AI Recommendations

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TURNER: The Uncertainty-based Retrieval Framework for Chinese NER

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Deep Reinforcement Learning Based Multi-Access Edge Computing Schedule for Internet of Vehicle

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Molecule Generation for Drug Design: a Graph Learning Perspective

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Deep Movement Primitives: toward Breast Cancer Examination Robot

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Enhanced Behavioral Cloning with Environmental Losses for Self-Driving Vehicles

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DataMUX: Data Multiplexing for Neural Networks

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How to Manage Tiny Machine Learning at Scale: An Industrial Perspective

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Selection Strategies for Commonsense Knowledge

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Illuminating the Space of Dungeon Maps, Locked-door Missions and Enemy Placement Through MAP-Elites

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Generative Adversarial Networks for Labeled Data Creation for Structural Monitoring and Damage Detection

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Generative Adversarial Networks for Labelled Vibration Data Generation

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Generative Adversarial Networks for Data Generation in Structural Health Monitoring

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Playing against no-regret players

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Mixture-of-Experts with Expert Choice Routing

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Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation?

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Deep Learning for Hate Speech Detection: A Comparative Study

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Learning a Shield from Catastrophic Action Effects: Never Repeat the Same Mistake

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Training Robots without Robots: Deep Imitation Learning for Master-to-Robot Policy Transfer

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ValAsp: a tool for data validation in Answer Set Programming

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Graph-based Extractive Explainer for Recommendations

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Contextual Intelligent Decisions: Expert Moderation of Machine Outputs for Fair Assessment of Commercial Driving

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Disentangling Autoencoders (DAE)

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Goal-directed Planning and Goal Understanding by Active Inference: Evaluation Through Simulated and Physical Robot Experiments

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Recurrent Auto-Encoder With Multi-Resolution Ensemble and Predictive Coding for Multivariate Time-Series Anomaly Detection

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Exploring the Effects of AI-assisted Emotional Support Processes in Online Mental Health Community

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DeepShovel: An Online Collaborative Platform for Data Extraction in Geoscience Literature with AI Assistance

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Robots Learn Increasingly Complex Tasks with Intrinsic Motivation and Automatic Curriculum Learning

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Poisoning Attacks and Defenses on Artificial Intelligence: A Survey

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HoneyModels: Machine Learning Honeypots

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Explainability in Machine Learning: a Pedagogical Perspective

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Artificial Intelligence for the Metaverse: A Survey

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Same Cause; Different Effects in the Brain

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A Tutorial on Adversarial Learning Attacks and Countermeasures

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Reasoning with Scene Graphs for Robot Planning under Partial Observability

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A Mental-Model Centric Landscape of Human-AI Symbiosis

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Navigating Conceptual Space; A new take on Artificial General Intelligence

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Learning to Help Emergency Vehicles Arrive Faster: A Cooperative Vehicle-Road Scheduling Approach

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Cooperative Artificial Intelligence

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ExAIS: Executable AI Semantics

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Integration of knowledge and data in machine learning

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ORC Layout: Adaptive GUI Layout with OR-Constraints

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SapientML: Synthesizing Machine Learning Pipelines by Learning from Human-Written Solutions

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Click-Through Rate Prediction in Online Advertising: A Literature Review

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Unleashing the Power of Transformer for Graphs

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Knowledge-informed Molecular Learning: A Survey on Paradigm Transfer

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It Takes Four to Tango: Multiagent Selfplay for Automatic Curriculum Generation

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Physics-Informed Graph Learning: A Survey

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Graph Lifelong Learning: A Survey

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Distilled Neural Networks for Efficient Learning to Rank

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Speciesist bias in AI -- How AI applications perpetuate discrimination and unfair outcomes against animals

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Relational Algebra and Calculus with SQL Null Values

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Remaining Useful Life Prediction Using Temporal Deep Degradation Network for Complex Machinery with Attention-based Feature Extraction

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Temporal Subtyping of Alzheimer's Disease Using Medical Conditions Preceding Alzheimer's Disease Onset in Electronic Health Records

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An Overview on Machine Translation Evaluation

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Generating Synthetic Mobility Networks with Generative Adversarial Networks

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Towards technological adaptation of advanced farming through AI, IoT, and Robotics: A Comprehensive overview

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A Framework for Multi-stage Bonus Allocation in meal delivery Platform

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Social Computational Design Method for Generating Product Shapes with GAN and Transformer Models

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A New Generation of Perspective API: Efficient Multilingual Character-level Transformers

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Model2Detector: Widening the Information Bottleneck for Out-of-Distribution Detection using a Handful of Gradient Steps

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MLProxy: SLA-Aware Reverse Proxy for Machine Learning Inference Serving on Serverless Computing Platforms

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Virtual, Augmented, and Mixed Reality for Human-Robot Interaction: A Survey and Virtual Design Element Taxonomy

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Blockchain Framework for Artificial Intelligence Computation

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ViKiNG: Vision-Based Kilometer-Scale Navigation with Geographic Hints

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Deep Learning Reproducibility and Explainable AI (XAI)

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Scalable Query Answering under Uncertainty to Neuroscientific Ontological Knowledge: The NeuroLang Approach

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Investigations of Performance and Bias in Human-AI Teamwork in Hiring

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Investigating the Use of One-Class Support Vector Machine for Software Defect Prediction

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KESA: A Knowledge Enhanced Approach For Sentiment Analysis

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Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction

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Situational Graphs for Robot Navigation in Structured Indoor Environments

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From Unstructured Text to Causal Knowledge Graphs: A Transformer-Based Approach

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Program Synthesis for the OEIS

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Is Neuro-Symbolic AI Meeting its Promise in Natural Language Processing? A Structured Review

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Machine learning models and facial regions videos for estimating heart rate: a review on Patents, Datasets and Literature

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When, Why, and Which Pretrained GANs Are Useful?

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VLP: A Survey on Vision-Language Pre-training

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Lightweight Multi-Drone Detection and 3D-Localization via YOLO

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Towards Simple and Accurate Human Pose Estimation with Stair Network

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MultiRes-NetVLAD: Augmenting Place Recognition Training with Low-Resolution Imagery

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A Machine Learning Paradigm for Studying Pictorial Realism: Are Constable's Clouds More Real than His Contemporaries?

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Punctuation Restoration

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Audio Visual Scene-Aware Dialog Generation with Transformer-based Video Representations

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Outlier-based Autism Detection using Longitudinal Structural MRI

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OSegNet: Operational Segmentation Network for COVID-19 Detection using Chest X-ray Images

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OG-SGG: Ontology-Guided Scene Graph Generation. A Case Study in Transfer Learning for Telepresence Robotics

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VRConvMF: Visual Recurrent Convolutional Matrix Factorization for Movie Recommendation

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ALGAN: Anomaly Detection by Generating Pseudo Anomalous Data via Latent Variables

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Reducing the Gibbs effect in multimodal medical imaging by the Fake Nodes Approach

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MIST GAN: Modality Imputation Using Style Transfer for MRI

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Robotic Telekinesis: Learning a Robotic Hand Imitator by Watching Humans on Youtube

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PMP-Net++: Point Cloud Completion by Transformer-Enhanced Multi-step Point Moving Paths

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Going Deeper into Recognizing Actions in Dark Environments: A Comprehensive Benchmark Study

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student dangerous behavior detection in school

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HDAM: Heuristic Difference Attention Module for Convolutional Neural Networks

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Diversity aware image generation

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Image-to-Graph Transformers for Chemical Structure Recognition

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Visual Attention Network

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Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning

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PCSCNet: Fast 3D Semantic Segmentation of LiDAR Point Cloud for Autonomous Car using Point Convolution and Sparse Convolution Network

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Simplified Learning of CAD Features Leveraging a Deep Residual Autoencoder

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ViTAEv2: Vision Transformer Advanced by Exploring Inductive Bias for Image Recognition and Beyond

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On the Evaluation of RGB-D-based Categorical Pose and Shape Estimation

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Privacy Leakage of Adversarial Training Models in Federated Learning Systems

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Guidelines and evaluation for clinical explainable AI on medical image analysis

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Seeing is Living? Rethinking the Security of Facial Liveness Verification in the Deepfake Era

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An Object Aware Hybrid U-Net for Breast Tumour Annotation

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VU-BERT: A Unified framework for Visual Dialog

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UncertaINR: Uncertainty Quantification of End-to-End Implicit Neural Representations for Computed Tomography

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Subtyping brain diseases from imaging data

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Comparing Controller With the Hand Gestures Pinch and Grab for Picking Up and Placing Virtual Objects

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Improving Classification Model Performance on Chest X-Rays through Lung Segmentation

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CaMEL: Mean Teacher Learning for Image Captioning

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Ensemble Learning techniques for object detection in high-resolution satellite images

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A Two-Branch Neural Network for Gait Recognition

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Movies2Scenes: Learning Scene Representations Using Movie Similarities

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Ensembling Handcrafted Features with Deep Features: An Analytical Study for Classification of Routine Colon Cancer Histopathological Nuclei Images

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Bag of Visual Words (BoVW) with Deep Features -- Patch Classification Model for Limited Dataset of Breast Tumours

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RuCLIP -- new models and experiments: a technical report

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A-Eye: Driving with the Eyes of AI for Corner Case Generation

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One-shot Scene Graph Generation

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Deep learning classification of large-scale point clouds: A case study on cuneiform tablets

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A Survey of Vision-Language Pre-Trained Models

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GroupViT: Semantic Segmentation Emerges from Text Supervision

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Mixed-Block Neural Architecture Search for Medical Image Segmentation

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Arbitrary Shape Text Detection using Transformers

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EcoFusion: Energy-Aware Adaptive Sensor Fusion for Efficient Autonomous Vehicle Perception

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Deepfake Detection for Facial Images with Facemasks

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Localizing Small Apples in Complex Apple Orchard Environments

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ProFormer: Learning Data-efficient Representations of Body Movement with Prototype-based Feature Augmentation and Visual Transformers

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Thermal hand image segmentation for biometric recognition

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Anomaly Detection in 3D Point Clouds using Deep Geometric Descriptors

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Paying U-Attention to Textures: Multi-Stage Hourglass Vision Transformer for Universal Texture Synthesis

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Single Image Super-Resolution Methods: A Survey

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When Transformer Meets Robotic Grasping: Exploits Context for Efficient Grasp Detection

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Auto-scaling Vision Transformers without Training

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A Transformer-based Network for Deformable Medical Image Registration

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Towards Effective and Robust Neural Trojan Defenses via Input Filtering

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RadioTransformer: A Cascaded Global-Focal Transformer for Visual Attention-guided Disease Classification

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Near Perfect GAN Inversion

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HMD-EgoPose: Head-Mounted Display-Based Egocentric Marker-Less Tool and Hand Pose Estimation for Augmented Surgical Guidance

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Controlling Memorability of Face Images

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Fully Self-Supervised Learning for Semantic Segmentation

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Learning to Merge Tokens in Vision Transformers

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Transformers in Medical Image Analysis: A Review

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FreeSOLO: Learning to Segment Objects without Annotations

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Self-Distilled StyleGAN: Towards Generation from Internet Photos

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EMOTHAW: A novel database for emotional state recognition from handwriting

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BLPnet: A new DNN model and Bengali OCR engine for Automatic License Plate Recognition

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A Method for Waste Segregation using Convolutional Neural Networks

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Learning from the Pros: Extracting Professional Goalkeeper Technique from Broadcast Footage

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Curriculum optimization for low-resource speech recognition

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End-to-end contextual asr based on posterior distribution adaptation for hybrid ctc/attention system

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VCVTS: Multi-speaker Video-to-Speech synthesis via cross-modal knowledge transfer from voice conversion

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Speaker Identity Preservation in Dysarthric Speech Reconstruction by Adversarial Speaker Adaptation

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Domain Adaptation of low-resource Target-Domain models using well-trained ASR Conformer Models

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Attributable Watermarking of Speech Generative Models

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Predicting Sex and Stroke Success -- Computer-aided Player Grunt Analysis in Tennis Matches

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A Summary of the ComParE COVID-19 Challenges

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Can Social Robots Effectively Elicit Curiosity in STEM Topics from K-1 Students During Oral Assessments?

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S3T: Self-Supervised Pre-training with Swin Transformer for Music Classification

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CampNet: Context-Aware Mask Prediction for End-to-End Text-Based Speech Editing

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AVQVC: One-shot Voice Conversion by Vector Quantization with applying contrastive learning

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Predicting emotion from music videos: exploring the relative contribution of visual and auditory information to affective responses

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Spanish and English Phoneme Recognition by Training on Simulated Classroom Audio Recordings of Collaborative Learning Environments

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VADOI:Voice-Activity-Detection Overlapping Inference For End-to-end Long-form Speech Recognition

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Continuous Speech for Improved Learning Pathological Voice Disorders

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Wavebender GAN: An architecture for phonetically meaningful speech manipulation

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Adversarial Attacks on Speech Recognition Systems for Mission-Critical Applications: A Survey

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nnSpeech: Speaker-Guided Conditional Variational Autoencoder for Zero-shot Multi-speaker Text-to-Speech

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DRVC: A Framework of Any-to-Any Voice Conversion with Self-Supervised Learning

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Neural Speech Synthesis on a Shoestring: Improving the Efficiency of LPCNet

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Towards Speaker Age Estimation with Label Distribution Learning

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Differentially Private Speaker Anonymization

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Phase Continuity: Learning Derivatives of Phase Spectrum for Speech Enhancement

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Constructing a NFT Price Index and Applications

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Ensemble and Multimodal Approach for Forecasting Cryptocurrency Price

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Stock Embeddings: Learning Distributed Representations for Financial Assets

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Machine Learning Models in Stock Market Prediction

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The Nature of Losses from Cyber-Related Events: Risk Categories and Business Sectors

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Yields: The Galapagos Syndrome Of Cryptofinance

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Darwin Among the Cryptocurrencies

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Weak approximations and VIX option price expansions in forward variance curve models

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Discrimination Against Immigrants in the Criminal Justice System: Evidence from Pretrial Detentions

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Crypto-assets better safe-havens than Gold during Covid-19: The case of European indices

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Price formation in financial markets: a game-theoretic perspective

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Can LSTM outperform volatility-econometric models?

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A 2D Levy-flight model for the complex dynamics of real-life financial markets

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