Publications

Abstracted Shapes as Tokens - A Generalizable and Interpretable Model for Time-series Classification
- - Yunshi Wen
  - Tengfei Ma
  - et al.
- 2024
- NeurIPS 2024
Conference paper
Hierarchical Federated Learning with Multi-Timescale Gradient Correction
- - Wenzhi Fang
  - Dong-jun Han
  - et al.
- 2024
- NeurIPS 2024
Conference paper
Selective Explanations
- - Lucas Monteiro Paes
  - Dennis Wei
  - et al.
- 2024
- NeurIPS 2024
Conference paper
Shuffling Gradient-Based Methods for Nonconvex-Concave Minimax Optimization
- - Quoc Tran-Dinh
  - Trang H. Tran
  - et al.
- 2024
- NeurIPS 2024
Conference paper
Weak Supervision Performance Evaluation via Partial Identification
- - Felipe Maia Polo
  - Subha Maity
  - et al.
- 2024
- NeurIPS 2024
Conference paper
Geometry of naturalistic object representations in recurrent neural network models of working memory
- - Xiaoxuan Lei
  - Taku Ito
  - et al.
- 2024
- NeurIPS 2024
Conference paper
Physically Compatible 3D Object Modeling from a Single Image
- - Minghao Guo
  - Bohan Wang
  - et al.
- 2024
- NeurIPS 2024
Conference paper
Integration of Co Nanomagnets for Localized EDSR in Scalable FDSOI Spin Qubit Architectures
- - Fabio Bersano
  - Michele Aldeghi
  - et al.
- 2024
- IEDM 2024
Conference paper
Cryogenic Analog 1T-ReRAM with Enhanced Dynamic Range and Suppressed Noise for Cold Neural Networks
- - Saketh Ram Mamidala
  - Davide Lombardo
  - et al.
- 2024
- IEDM 2024
Conference paper
Fully subtractive Ru Topvia interconnects with minimum 9 nm-space airgap for RC performance and reliability enhancement as post-Cu interconnects
- - Koichi Motoyama
  - Jaemyung Choi
  - et al.
- 2024
- IEDM 2024
Conference paper