Publications

A Theoretical Understanding of Shallow Vision Transformers: Learning, Generalization, and Sample Complexity
- - Hongkang Li
  - Meng Weng
  - et al.
- 2023
- ICLR 2023
Neural-based classification rule learning for sequential data
- - Marine Collery
  - Philippe Bonnard
  - et al.
- 2023
- ICLR 2023
Weighted Clock Logic Point Process
- - Ruixuan Yan
  - Yunshi Wen
  - et al.
- 2023
- ICLR 2023
FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning
- - Kaiyuan Zhang
  - Guanhong Tao
  - et al.
- 2023
- ICLR 2023
FedExP: Speeding up Federated Averaging via Extrapolation
- - Divyansh Jhunjhunwala
  - Shiqiang Wang
  - et al.
- 2023
- ICLR 2023
Label-free Concept Bottleneck Models
- - Tuomas Oikarinen
  - Subhro Das
  - et al.
- 2023
- ICLR 2023
Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning
- - Zehao Niu
  - Mihai Anitescu
  - et al.
- 2023
- ICLR 2023
Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks
- - Shuai Zhang
  - Meng Weng
  - et al.
- 2023
- ICLR 2023
Password-Authenticated TLS via OPAQUE and Post-Handshake Authentication
- - Julia Hesse
  - Stanislaw Jarecki
  - et al.
- 2023
- Eurocrypt 2023
Supersingular Curves You Can Trust
- - Andrea Basso
  - Giulio Codogni
  - et al.
- 2023
- Eurocrypt 2023