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[ICML 2024] On the Nonlinearity of Layer Normalization
[ICML 2024] A New Partial p-Wasserstein-Based Metric For Comparing Distributions
(ICML 2026) LAMP: Data-Efficient Weight-Space Models for Parameter-Controlled 3D Shape Generation
[ICML 2024] Applying language models to algebraic topology
[ICML 2024] Bayesian Optimization of Function Networks with Partial Evaluations
ICML 2024 - Probabilistic Modeling of Interpersonal Coordination Processes
【ICML 24】Introduction video for our work: MOKD, accepted by ICML 2024
[ICML 2024] Understanding Domain Generalization: A Noise Robustness Perspective
ICML 2024 Tutorial - Graph Learning: Principles, Challenges, and Open Directions
[ICML 2024] Do Topological Characteristics Help in Knowledge Distillation
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Last Updated: August 15, 2026
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![[ICML 2024] On the Nonlinearity of Layer Normalization](https://i.ytimg.com/vi/KPfXExejMNI/mqdefault.jpg)
![[ICML 2024] A New Partial p-Wasserstein-Based Metric For Comparing Distributions](https://i.ytimg.com/vi/QZNUSRj4K5M/mqdefault.jpg)
![[ICML 2024] Applying language models to algebraic topology](https://i.ytimg.com/vi/NpPDZmwShjM/mqdefault.jpg)
![Fourier Neural Operator (FNO) [Physics Informed Machine Learning]](https://i.ytimg.com/vi/W8PybqAk6Ik/mqdefault.jpg)
![[ICML 2024] Bayesian Optimization of Function Networks with Partial Evaluations](https://i.ytimg.com/vi/AGs046UGlt8/mqdefault.jpg)
![[ICML 2024] Understanding Domain Generalization: A Noise Robustness Perspective](https://i.ytimg.com/vi/nrDjfQscKWU/mqdefault.jpg)
![[ICML 2024] Do Topological Characteristics Help in Knowledge Distillation](https://i.ytimg.com/vi/zK8hJji54Zk/mqdefault.jpg)
![Exclusive [ICML 2024] A Differentiable POGLM with Forward-Backward Message Passing Dev Index](https://i.ytimg.com/vi/GAK0d4WGQ7E/mqdefault.jpg)