Publications

1489 results for Machine Learning

Understanding Mode Connectivity via Parameter Space Symmetry
- - Bo Zhao
  - Nima Dehmamy
  - et al.
- 2023
- NeurIPS 2023
On Representations of Mean-Field Variational Inference
- - Soumyadip Ghosh
  - Yingdong Lu
  - et al.
- 2023
- NeurIPS 2023
A Framework for Toxic PFAS Replacement based on GFlowNet and Chemical Foundation Model
- - Eduardo Almeida Soares
  - Flaviu Cipcigan
  - et al.
- 2023
- NeurIPS 2023
Outlier-Robust Group Inference via Gradient Space Clustering
- - Yuchen Zeng
  - Kristjan Greenewald
  - et al.
- 2023
- NeurIPS 2023
Using Foundation Models to Promote Digitization and Reproducibility in Scientific Experimentation
- - Amol Thakkar
  - Andrea Giovannini
  - et al.
- 2023
- NeurIPS 2023
Sequential data-consistent model inversion
- - Tim Rumbell
  - Catherine Wanjiru
  - et al.
- 2023
- NeurIPS 2023
Cost-Aware Counterfactuals for Black Box Explanations
- - Natalia Martinez Gil
  - Kanthi Sarpatwar
  - et al.
- 2023
- NeurIPS 2023
Learning the Language of NMR: Structure Elucidation from NMR spectra using Transformer Models
- - Marvin Alberts
  - Federico Zipoli
  - et al.
- 2023
- NeurIPS 2023
Language models in molecular discovery
- - Nikita Janakarajan
  - Tim Erdmann
  - et al.
- 2023
- NeurIPS 2023
Duality and Sample Complexity for the Gromov-Wasserstein Distance
- - Zhengxin Zhang
  - Ziv Goldfeld
  - et al.
- 2023
- NeurIPS 2023