Publications

On the Convergence to a Global Solution of Shuffling-Type Gradient Algorithms
- - Lam Nguyen
  - Trang H. Tran
- 2023
- NeurIPS 2023
Conference paper
Near-Optimal Algorithms for Gaussians with Huber Contamination: Mean Estimation and Linear Regression
- - Ilias Diakonikolas
  - Daniel Kane
  - et al.
- 2023
- NeurIPS 2023
Conference paper
A Spectral Algorithm for List-Decodable Covariance Estimation in Relative Frobenius Norm
- - Ilias Diakonikolas
  - Daniel Kane
  - et al.
- 2023
- NeurIPS 2023
Conference paper
Max-Sliced Mutual Information
- - Dor Tsur
  - Ziv Goldfeld
  - et al.
- 2023
- NeurIPS 2023
Conference paper
Transformers over Directed Acyclic Graphs
- - Yuankai Luo
  - Veronika Thost
  - et al.
- 2023
- NeurIPS 2023
Conference paper
Cryogenic InGaAs HEMTs with Reduced On-resistance using Strained Ohmic Contacts
- - Eunjung Cha
  - Alberto Ferraris
  - et al.
- 2023
- IEDM 2023
Conference paper
Evaluation of (110) versus (001) Channel Orientation for Improved nFET/pFET Device Performance Trade-Off in Gate-All-Around Nanosheet Technology
- - Shogo Mochizuki
  - Nicolas Loubet
  - et al.
- 2023
- IEDM 2023
Conference paper
High Performance Nanosheet Technology Optimized for 77 K
- - R. Bao
  - L. Qin
  - et al.
- 2023
- IEDM 2023
Conference paper
In-Memory Compute Chips with Carbon-based Projected Phase-Change Memory Devices
- - G.S. Syed
  - K. Brew
  - et al.
- 2023
- IEDM 2023
Conference paper
Scaling opportunities for Gate-All-Around: A patterning perspective
- - I. Seshadri
  - E. Miller
  - et al.
- 2023
- IEDM 2023
Conference paper