Publications

113 results at NeurIPS 2023

Learning hard distributions with quantum-enhanced variational autoencoders
- - Anantha Rao
  - Dhiraj Madan
  - et al.
- 2023
- NeurIPS 2023
Understanding Mode Connectivity via Parameter Space Symmetry
- - Bo Zhao
  - Nima Dehmamy
  - et al.
- 2023
- NeurIPS 2023
Compositional Foundation Models for Hierarchical Planning
- - Anurag Ajay
  - Seungwook Han
  - et al.
- 2023
- NeurIPS 2023
Duality and Sample Complexity for the Gromov-Wasserstein Distance
- - Zhengxin Zhang
  - Ziv Goldfeld
  - et al.
- 2023
- NeurIPS 2023
Coarse-graining via reparametrization avoids force matching and back-mapping
- - Nima Dehmamy
  - Csaba Both
  - et al.
- 2023
- NeurIPS 2023
Machine learning derived sub-seasonal to seasonal extremes
- - Daniel Salles Civitarese
  - Bianca Zadrozny
- 2023
- NeurIPS 2023
On the Promise and Challenges of Foundation Models for Learning-based Cloud Systems Management
- - Haoran Qiu
  - Weichao Mao
  - 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