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
Workshop paper
Publications
44 results at ICML 2023
Latent Space Symmetry Discovery
- Jianke Yang
- Nima Dehmamy
- et al.
- 2023
- ICML 2023
Workshop paperFederated Learning and Analytics in Practice: Algorithms, Systems, Applications, and Opportunities
- Zheng Xu
- Peter Kairouz
- et al.
- 2023
- ICML 2023
WorkshopUnifying Molecular and Textual Representations via Multi-task Language Modelling
- Dimitrios Christofidellis
- Giorgio Giannone
- et al.
- 2023
- ICML 2023
Conference paperProbabilistic Attention-to-Influence Neural Models for Event Sequences
- Xiao Shou
- Debarun Bhattacharjya
- et al.
- 2023
- ICML 2023
Conference paperData Efficient Neural Scaling Law via Model Reusing
- Peihao Wang
- Rameswar Panda
- et al.
- 2023
- ICML 2023
Conference paperPAC Generalization via Invariant Representations
- Advait Parulekar
- Karthikeyan Shanmugam
- et al.
- 2023
- ICML 2023
Conference paperSlicing Mutual Information Generalization Bounds for Neural Networks
- Kimia Nadjahi
- Kristjan Greenewald
- et al.
- 2023
- ICML 2023
Workshop paperA New Theoretical Perspective on Data Heterogeneity in Federated Optimization
- Jiayi Wang
- Shiqiang Wang
- et al.
- 2023
- ICML 2023
Workshop paperTowards a Theoretical and Practical Understanding of One-Shot Federated Learning with Fisher Information
- Divyansh Jhunjhunwala
- Shiqiang Wang
- et al.
- 2023
- ICML 2023
Workshop paper