Stephen Ra

6 papers · 2023–2024 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓

🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12)

Venues

ICLR (2) NeurIPS (2) CLeaR (1) ICML (1)

Top co-authors

Kyunghyun Cho (4) Saeed Saremi (2) Michael Maser (2) Dan Berenberg (2) Joseph Kleinhenz (2) Andrew Watkins (2) Richard Bonneau (2) Natasa Tagasovska (2) Nazim Bouatta (1) Joshua Rackers (1)

Research topics

Machine Learning (6) Artificial Intelligence (4) Core Methods (4) Deep Learning (3) Core AI (3) Models (3) Optimization & Theory (3) Mathematics & Optimization (2) Optimization (2) Architectures (1) Bayesian & Probabilistic (1)

Keywords

variational autoencoder (2) protein design (2) transfer learning (1) markov chain monte carlo (1) protein structure prediction (1) copula (1) bayesian optimization (1) discrete sampling (1) generative model (1) disentangled representation (1) acquisition function (1) energy-based model (1) generative adversarial network (1) interpretable model (1) concept bottleneck (1) molecular generation (1) score-based model (1) concept loss (1) multiple sequence alignment (1) multivariate rank (1)

Papers

BOtied: Multi-objective Bayesian optimization with tied multivariate ranks ICML 2024 Concept Bottleneck Generative Models ICLR 2024 Protein Discovery with Discrete Walk-Jump Sampling ICLR 2024 3D molecule generation by denoising voxel grids NeurIPS 2023 Learning Causal Representations of Single Cells via Sparse Mechanism Shift Modeling CLeaR 2023 OpenProteinSet: Training data for structural biology at scale NeurIPS 2023