Publications

LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery
- - Pingchuan Ma
  - Tsun-Hsuan Wang
  - et al.
- 2024
- ICML 2024
Triplet Interaction Improves Graph Transformers: Accurate Molecular Graph Learning with Triplet Graph Transformers
- - Md Shamim Hussain
  - Mohammed J. Zaki
  - et al.
- 2024
- ICML 2024
Speech Self-Supervised Learning Using Diffusion Model Synthetic Data
- - Heting Gao
  - Kaizhi Qian
  - et al.
- 2024
- ICML 2024
Converting Transformers to Polynomial Form for Secure Inference Over Homomorphic Encryption
- - Itamar Zimerman
  - Moran Baruch
  - et al.
- 2024
- ICML 2024
A New Theoretical Perspective on Data Heterogeneity in Federated Averaging
- - Jiayi Wang
  - Shiqiang Wang
  - et al.
- 2024
- ICML 2024
Proactive DP: A Multiple Target Optimization Framework for DP-SGD
- - Marten Van Dijk
  - Nhuong Nguyen
  - et al.
- 2024
- ICML 2024
Slicing Mutual Information Generalization Bounds for Neural Networks
- - Kimia Nadjahi
  - Kristjan Greenewald
  - et al.
- 2024
- ICML 2024
tinyBenchmarks: evaluating LLMs with fewer examples
- - Felipe Maia Polo
  - Lucas Weber
  - et al.
- 2024
- ICML 2024
Trust Regions for Explanations via Black-Box Probabilistic Certification
- - Amit Dhurandhar
  - Swagatam Haldar
  - et al.
- 2024
- ICML 2024
Learning Optimal Projection for Forecast Reconciliation of Hierarchical Time Series
- - Asterios Tsiourvas
  - Wei Sun
  - et al.
- 2024
- ICML 2024