Memorization to Generalization: The Emergence of Diffusion Models from Associative Memory
- Bao Pham
- Gabriel Raya
- et al.
- 2024
- NeurIPS 2024
Publications
86 results at NeurIPS 2024
Agnostic Causality-Driven Enhancement of Chemical Foundation Models on Downstream Tasks
- Victor Shirasuna
- Eduardo Almeida Soares
- et al.
- 2024
- NeurIPS 2024
Guaranteeing Conservation Laws with Projection in Physics-Informed Neural Networks
- Anthony Baez
- Wang Zhang
- et al.
- 2024
- NeurIPS 2024
Regress, Don’t Guess – A Regression-like Loss on Number Tokens for Language Models
- Jonas Zausinger
- Lars Pennig
- et al.
- 2024
- NeurIPS 2024
Multi-View Mixture-of-Experts for Predicting Molecular Properties Using SMILES, SELFIES, and Graph-Based Representations
- 2024
- NeurIPS 2024
A Mamba-Based Foundation Model for Chemistry
- 2024
- NeurIPS 2024
A Large Encoder-Decoder Polymer-Based Foundation Model
- 2024
- NeurIPS 2024
Compositional Communication with LLMs and Reasoning about Chemical Structures
- Dmitry Zubarev
- Sarath Swaminathan
- 2024
- NeurIPS 2024
Predicting LLM Inference Latency: A Roofline-Driven ML Method
- Saki Imai
- Rina Nakazawa
- et al.
- 2024
- NeurIPS 2024
Thought of Search: Planning with Language Models Through The Lens of Efficiency
- Michael Katz
- Harsha Kokel
- et al.
- 2024
- NeurIPS 2024