Publications

44 results at ICML 2023

MaxCorrMGNN: A Multi-Graph Neural Framework for Generalized Multimodal Fusion of Medical Data for Outcome Prediction
- - Niharika DSouza
  - Hongzhi Wang
  - et al.
- 2023
- ICML 2023
Latent Space Symmetry Discovery
- - Jianke Yang
  - Nima Dehmamy
  - et al.
- 2023
- ICML 2023
Federated Learning and Analytics in Practice: Algorithms, Systems, Applications, and Opportunities
- - Zheng Xu
  - Peter Kairouz
  - et al.
- 2023
- ICML 2023
Probabilistic Attention-to-Influence Neural Models for Event Sequences
- - Xiao Shou
  - Debarun Bhattacharjya
  - et al.
- 2023
- ICML 2023
Data Efficient Neural Scaling Law via Model Reusing
- - Peihao Wang
  - Rameswar Panda
  - et al.
- 2023
- ICML 2023
Unifying Molecular and Textual Representations via Multi-task Language Modelling
- - Dimitrios Christofidellis
  - Giorgio Giannone
  - et al.
- 2023
- ICML 2023
PAC Generalization via Invariant Representations
- - Advait Parulekar
  - Karthikeyan Shanmugam
  - et al.
- 2023
- ICML 2023
Co-creating a globally interpretable model with human inputs
- - Rahul Nair
- 2023
- ICML 2023
A New Theoretical Perspective on Data Heterogeneity in Federated Optimization
- - Jiayi Wang
  - Shiqiang Wang
  - et al.
- 2023
- ICML 2023
Towards a Theoretical and Practical Understanding of One-Shot Federated Learning with Fisher Information
- - Divyansh Jhunjhunwala
  - Shiqiang Wang
  - et al.
- 2023
- ICML 2023