Publications

A Probabilistic Framework for Modular Continual Learning
- - Lazar Valkov
  - Akash Srivastava
  - et al.
- 2024
- ICLR 2024
Unraveling the Key Components of OOD Generalization via Diversification
- - Harold Benoit
  - Liangze Jiang
  - et al.
- 2024
- ICLR 2024
Never Train from Scratch: Fair Comparison of Long-Sequence Models Requires Data-Driven Priors
- - Ido Amos
  - Jonathan Berant
  - et al.
- 2024
- ICLR 2024
SalUn: Empowering Machine Unlearning via Gradient-Based Weight Saliency in Both Image Classification and Generation
- - Chongyu Fan
  - Jiancheng Liu
  - et al.
- 2024
- ICLR 2024
Isogeny problems with level structure
- - Luca De Feo
  - Tako Boris Fouotsa
  - et al.
- 2024
- Eurocrypt 2024
Visual Chain-of-Thought Prompting for Knowledge-Based Visual Reasoning
- - Zhenfang Chen
  - Qinhong Zhou
  - et al.
- 2024
- AAAI 2024
Get a Head Start: On-Demand Pedagogical Policy Selection in Intelligent Tutoring
- - Ge Gao
  - Xi Yang
  - et al.
- 2024
- AAAI 2024
Knowledge Enhanced Representation Learning for Drug Discovery
- - Thanh Lam Hoang
  - Marco Luca Sbodio
  - et al.
- 2024
- AAAI 2024
Effective Data Distillation for Tabular Datasets
- - Inwon Kang
  - Parikshit Ram
  - et al.
- 2024
- AAAI 2024
MANDREL: Modular Reinforcement Learning Pipelines for Material Discovery
- - Clyde Fare
  - George K. Holt
  - et al.
- 2024
- AAAI 2024