Publications

1615 results for Machine Learning

Learning the Language of NMR: Structure Elucidation from NMR spectra using Transformer Models
- - Marvin Alberts
  - Federico Zipoli
  - et al.
- 2023
- NeurIPS 2023
Workshop paper
Estimating Fréchet bounds for validating programmatic weak supervision
- - Felipe Maia Polo
  - Mikhail Yurochkin
  - et al.
- 2023
- NeurIPS 2023
Workshop paper
AlphaFold Distillation for Protein Design
- - Igor Melnyk
  - Aurelie Lozano
  - et al.
- 2023
- NeurIPS 2023
Workshop paper
Causal Markov Blanket Representation Learning for Out-of-distribution Generalization
- - Naiyu Yin
  - Hanjing Wang
  - et al.
- 2023
- NeurIPS 2023
Workshop paper
Sequential data-consistent model inversion
- - Tim Rumbell
  - Catherine Wanjiru
  - et al.
- 2023
- NeurIPS 2023
Workshop paper
Explaining knock-on effects of bias mitigation
- - Svetoslav Nizhnichenkov
  - Rahul Nair
  - et al.
- 2023
- NeurIPS 2023
Workshop paper
Understanding Mode Connectivity via Parameter Space Symmetry
- - Bo Zhao
  - Nima Dehmamy
  - et al.
- 2023
- NeurIPS 2023
Workshop paper
On Representations of Mean-Field Variational Inference
- - Soumyadip Ghosh
  - Yingdong Lu
  - et al.
- 2023
- NeurIPS 2023
Workshop paper
Weakly Supervised Detection of Hallucinations in LLM Activations
- - Miriam Rateike
  - Celia Cintas
  - et al.
- 2023
- NeurIPS 2023
Workshop paper
Language models in molecular discovery
- - Nikita Janakarajan
  - Tim Erdmann
  - et al.
- 2023
- NeurIPS 2023
Workshop paper