Publications

100 results at NeurIPS 2025

Dense Associative Memory with Epanechnikov Energy
- - Benjamin Hoover
  - Zhaoyang Shi
  - et al.
- 2025
- NeurIPS 2025
Conference paper
Deferring Concept Bottleneck Models: Learning to Defer Interventions to Inaccurate Experts
- - Andrea Pugnana
  - Riccardo Massidda
  - et al.
- 2025
- NeurIPS 2025
Conference paper
Meta-D²AG: Causal Graph Learning with Interventional Dynamic Data
- - Tian Gao
  - Songtao Lu
  - et al.
- 2025
- NeurIPS 2025
Conference paper
Forging Time Series with Language: A Large Language Model Approach to Synthetic Data Generation
- - Cécile Rousseau
  - Tobia Boschi
  - et al.
- 2025
- NeurIPS 2025
Conference paper
Lessons Learned: A Multi-Agent Framework for Code LLMs to Learn and Improve
- - Yuanzhe Liu
  - Ryan Deng
  - et al.
- 2025
- NeurIPS 2025
Conference paper
Analog Foundation Models
- - Julian Büchel
  - Iason Chalas
  - et al.
- 2025
- NeurIPS 2025
Conference paper
Transformers Learn Faster with Semantic Focus
- - Parikshit Ram
  - Kenneth Clarkson
  - et al.
- 2025
- NeurIPS 2025
Conference paper
Fair Continuous Resource Allocation with Equality of Impact
- - Blossom Metevier
  - Dennis Wei
  - et al.
- 2025
- NeurIPS 2025
Conference paper
FailureSensorIQ: A Multi-Choice QA Dataset for Understanding Sensor Relationships and Failure Modes
- - Christodoulos Constantinides
  - Dhaval Patel
  - et al.
- 2025
- NeurIPS 2025
Conference paper
Causally Reliable Concept Bottleneck Models
- - Giovanni De Felice
  - Arianna Casanova Flores
  - et al.
- 2025
- NeurIPS 2025
Conference paper