ICML Publications co-authored by the Liquid AI Team:

- [Mechanistic Design and Scaling of Hybrid Architectures](https://icml.cc/virtual/2024/poster/34509)
- [State-Free Inference of State-Space Models: The *Transfer Function* Approach](https://icml.cc/virtual/2024/poster/34604)
- [Position: Future Directions in the Theory of Graph Machine Learning](https://icml.cc/virtual/2024/poster/32757)
- [The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof](https://openreview.net/forum?id=gkrynRGiOi) (best paper at the HiLD workshop)
- [Towards a theory of learning dynamics in deep state space models](https://icml.cc/virtual/2024/36130)
- [Growing Q-Networks: Solving Continuous Control Tasks with Adaptive Control Resolution](https://arxiv.org/abs/2404.04253)
- [Large Scale Dataset Distillation with Domain Shift](https://openreview.net/forum?id=0FWPKHMCSc)
- [LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery](https://openreview.net/forum?id=hz8cFsdz7P)
- [RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation](https://openreview.net/forum?id=SQIDlJd3hN)