Publications

113 results at NeurIPS 2023

On the role of entanglement and statistics in learning
- - Srinivasan Arunachalam
  - Vojtech Havlicek
  - et al.
- 2023
- NeurIPS 2023
LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections
- - Jehanzeb Mirza
  - Leonid Karlinsky
  - et al.
- 2023
- NeurIPS 2023
MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition
- - Nicolas Menet
  - Michael Hersche
  - et al.
- 2023
- NeurIPS 2023
Towards Label Position Bias in Graph Neural Networks
- - Haoyu Han
  - Xiaorui Liu
  - et al.
- 2023
- NeurIPS 2023
Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation
- - Giorgio Giannone
  - Akash Srivastava
  - et al.
- 2023
- NeurIPS 2023
Leveraging Locality and Robustness to Achieve Massively Scalable Gaussian Process Regression
- - Robert Alison
  - Anthony Stephenson
  - et al.
- 2023
- NeurIPS 2023
Modulated Neural ODEs
- - Ilze Amanda Auzina
  - Cagatay Yildiz
  - et al.
- 2023
- NeurIPS 2023
Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions
- - Hao Wang
  - Luxi He
  - et al.
- 2023
- NeurIPS 2023
Pairwise Causality Guided Transformers for Event Sequences
- - Xiao Shou
  - Debarun Bhattacharjya
  - et al.
- 2023
- NeurIPS 2023
Efficient Equivariant Transfer Learning from Pretrained Models
- - Sourya Basu
  - Pulkit Katdare
  - et al.
- 2023
- NeurIPS 2023