Publications

Scalable Evaluation and Neural Models for Compositional Generalization
- - Giacomo Camposampiero
  - Pietro Barbiero
  - et al.
- 2025
- NeurIPS 2025
Meta-D²AG: Causal Graph Learning with Interventional Dynamic Data
- - Tian Gao
  - Songtao Lu
  - et al.
- 2025
- NeurIPS 2025
Forging Time Series with Language: A Large Language Model Approach to Synthetic Data Generation
- - Cécile Rousseau
  - Tobia Boschi
  - et al.
- 2025
- NeurIPS 2025
Lessons Learned: A Multi-Agent Framework for Code LLMs to Learn and Improve
- - Yuanzhe Liu
  - Ryan Deng
  - et al.
- 2025
- NeurIPS 2025
Analog Foundation Models
- - Julian Büchel
  - Iason Chalas
  - et al.
- 2025
- NeurIPS 2025
Optimality and NP-Hardness of Transformers in Learning Markovian Dynamical Functions
- - Yanna Ding
  - Songtao Lu
  - et al.
- 2025
- NeurIPS 2025
Fair Continuous Resource Allocation with Equality of Impact
- - Blossom Metevier
  - Dennis Wei
  - et al.
- 2025
- NeurIPS 2025
RCCDA: Adaptive Model Updates in the Presence of Concept Drift under a Constrained Resource Budget
- - Adam Piaseczny
  - Kamran Shisher
  - et al.
- 2025
- NeurIPS 2025
Quantum Doubly Stochastic Transformers
- - Jannis Born
  - Filip Skogh
  - et al.
- 2025
- NeurIPS 2025
Dense Associative Memory with Epanechnikov Energy
- - Benjamin Hoover
  - Zhaoyang Shi
  - et al.
- 2025
- NeurIPS 2025