Prescient Design Profile picture
Apr 27, 2023 9 tweets 13 min read Read on X
We're excited to have a number of papers by co-authors at Prescient and @genentech Research Bio AI/ML at #ICLR2023, #ICML23, and #AISTATS2023 spanning topics from basic ML to applications in drug discovery and even on the properties of black holes! 🌌 Check out below 👇 1/9
"Towards Understanding and Improving GFlowNet Training" #ICML23

@maxwshen, @folinoid, @EhsanHRA, @loukasa_tweet, @kchonyc, @tbyanc

2/9
"Few-shot Learning of Abstract Geometric Reasoning by Infusing Lattice Symmetry Priors in Attention Mechanisms" #ICML23

Matti Atzeni, @mrinmayasachan, @loukasa_tweet

3/9 Image
"Bayesian Optimization with Conformal Prediction Sets" #AISTATS2023

arxiv.org/abs/2210.12496

@samuel_stanton_, Wesley Maddox, @andrewgwils

4/9 Image
"Retrospective Uncertainties for Deep Models using Vine Copulas" #AISTATS2023

arxiv.org/abs/2302.12606

@tagasovska, @Firat_Ozdemir, @AxelBrando_

5/9 Image
"Latent SDEs for Modelling Quasar Variability and Inferring Black Hole Properties" (Spotlight) #ICLR2023 #Physics4ML

openreview.net/pdf?id=x2NOLHC…

@joshua_fagin, @jiwoncpark, Henry Best, @saavikford, Matthew J Graham, Ashley Villar, @cosmo_shirley, James Chan, @matt_of_earth

6/9 Image
"Learning protein family manifolds with smoothed energy-based models" (Spotlight) #ICLR2023 #Physics4ML and @MLDD_Workshop

openreview.net/pdf?id=IilnB8j…

@nc_frey, @dabkiel1, Joseph Kleinhenz, et al.

7/9 Image
"SupSiam: Non-contrastive Auxiliary Loss for Learning from Molecular Conformers" #ICLR2023 @MLDD_Workshop

arxiv.org/abs/2302.07754

Michael Maser, @jiwoncpark, @joshualin24, @jaehyeon_lee_ml, @nc_frey, @amw_stanford

8/9 Image
"Improving Graph Generation by Restricting Graph Bandwidth" #ICLR2023 @MLDD_Workshop

arxiv.org/abs/2301.10857

Nathaniel Diamant, @alexmtseng, @kangway, @tbyanc, @gabo_scalia

9/9 Image

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More from @PrescientDesign

May 4
We're excited to have 4 papers accepted at #ICML2024!

1⃣ "Structure-based drug design by denoising voxel grids" @pedroopinheiro, @arian_jamasb, @omarnmahmood, @vishnusresht, Saeed Saremi

(Preprint coming soon!) Image
2⃣ "BOtied: Multi-objective Bayesian optimization with tied multivariate ranks" @jiwoncpark, @tagasovska, Michael Maser, @stephenrra, @kchonyc

arxiv.org/abs/2306.00344
Image
3⃣ "Emergence of Equivariance in Deep Ensembles" @janmgerken, @daspantom

openreview.net/pdf?id=fcZ9Vad…
Image
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