Publications

113 results at NeurIPS 2023

IDMU: Impact Driven Machine Unlearning
- - Shubhi Asthana
  - Bing Zhang
  - et al.
- 2023
- NeurIPS 2023
Cost-Aware Counterfactuals for Black Box Explanations
- - Natalia Martinez Gil
  - Kanthi Sarpatwar
  - et al.
- 2023
- NeurIPS 2023
FairSISA: Ensemble Post-Processing to Improve Fairness of Unlearning in LLMs
- - Swanand Ravindra Kadhe
  - Anisa Halimi
  - et al.
- 2023
- NeurIPS 2023
MHG-GNN: Combination of Molecular Hypergraph Grammar with Graph Neural Network
- - Akihiro Kishimoto
  - Hiroshi Kajino
  - et al.
- 2023
- NeurIPS 2023
Influence Based Approaches to Algorithmic Fairness: A Closer Look
- - Soumya Ghosh
  - Prasanna Sattigeri
  - et al.
- 2023
- NeurIPS 2023
Coarse-graining via reparametrization avoids force matching and back-mapping
- - Nima Dehmamy
  - Csaba Both
  - et al.
- 2023
- NeurIPS 2023
Discovery of Novel Reticular Materials for Carbon Dioxide Capture using GFlowNets
- - Flaviu Cipcigan
  - Jonathan Booth
  - et al.
- 2023
- NeurIPS 2023
Stochastic FISTA Step Search Algorithm for Convex Optimization
- - Trang H. Tran
  - Lam Nguyen
  - et al.
- 2023
- NeurIPS 2023
Risk Assessment and Statistical Significance in the Age of Foundation Models
- - Apoorva Nitsure
  - Youssef Mroueh
  - et al.
- 2023
- NeurIPS 2023
Explaining knock-on effects of bias mitigation
- - Svetoslav Nizhnichenkov
  - Rahul Nair
  - et al.
- 2023
- NeurIPS 2023