Duality and Sample Complexity for the Gromov-Wasserstein Distance
- Zhengxin Zhang
- Ziv Goldfeld
- et al.
- 2023
- NeurIPS 2023
Publications
1594 results for Machine Learning
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
- 2023
- NeurIPS 2023
Sequential data-consistent model inversion
- Tim Rumbell
- Catherine Wanjiru
- et al.
- 2023
- NeurIPS 2023
Language models in molecular discovery
- Nikita Janakarajan
- Tim Erdmann
- et al.
- 2023
- NeurIPS 2023
Estimating Fréchet bounds for validating programmatic weak supervision
- Felipe Maia Polo
- Mikhail Yurochkin
- et al.
- 2023
- NeurIPS 2023
Causal Markov Blanket Representation Learning for Out-of-distribution Generalization
- Naiyu Yin
- Hanjing Wang
- et al.
- 2023
- NeurIPS 2023
Explaining knock-on effects of bias mitigation
- Svetoslav Nizhnichenkov
- Rahul Nair
- et al.
- 2023
- NeurIPS 2023
Symbolic Learning for Material Discovery
- Daniel Cunnington
- Flaviu Cipcigan
- et al.
- 2023
- NeurIPS 2023
AlphaFold Distillation for Protein Design
- Igor Melnyk
- Aurelie Lozano
- et al.
- 2023
- NeurIPS 2023