Publications

This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.

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25 results at 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
Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks
- - Shuai Zhang
  - Meng Weng
  - et al.
- 2023
- ICLR 2023
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
Symmetries, flat minima, and the conserved quantities of gradient flow
- - Bo Zhao
  - Iordan Ganev
  - 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
Long Range Language Modeling via Gated State Spaces
- - Harsh Mehta
  - Ankit Gupta
  - et al.
- 2023
- ICLR 2023
Attention-based Domain Adaptation Forecasting of Streamflow in Data Sparse Regions
- - Roland Oruche
  - Fearghal O'Donncha
- 2023
- ICLR 2023
Probing optimisation in physics-informed neural networks
- - Nayara Fonseca
  - Veronica Guidetti
  - et al.
- 2023
- ICLR 2023