Publications

113 results at NeurIPS 2023

Characterizing pre-trained and task-adapted molecular representations
- - Celia Cintas
  - Payel Das
  - et al.
- 2023
- NeurIPS 2023
Stochastic FISTA Step Search Algorithm for Convex Optimization
- - Trang H. Tran
  - Lam Nguyen
  - et al.
- 2023
- NeurIPS 2023
AlphaFold Distillation for Protein Design
- - Igor Melnyk
  - Aurelie Lozano
  - et al.
- 2023
- NeurIPS 2023
Quantum Theory and Application of Contextual Optimal Transport
- - Nicola Mariella
  - Jannis Born
  - et al.
- 2023
- NeurIPS 2023
Machine learning derived sub-seasonal to seasonal extremes
- - Daniel Salles Civitarese
  - Bianca Zadrozny
- 2023
- NeurIPS 2023
Workshop version: How hard are computer vision datasets? Calibrating dataset difficulty to viewing time
- - David Mayo
  - Jesse Cummings
  - et al.
- 2023
- NeurIPS 2023
Language models in molecular discovery
- - Nikita Janakarajan
  - Tim Erdmann
  - et al.
- 2023
- NeurIPS 2023
Towards More Likely Models for AI Planning
- - Turguy Caglar
  - Sirine Belhaj
  - et al.
- 2023
- NeurIPS 2023
Hierarchical Reinforcement Learning with AI Planning Models
- - Junkyu Lee
  - Michael Katz
  - et al.
- 2023
- NeurIPS 2023
Symbolic Learning for Material Discovery
- - Daniel Cunnington
  - Flaviu Cipcigan
  - et al.
- 2023
- NeurIPS 2023