New Frontiers in
Learning, Control, and Dynamical Systems

Workshop at the International Conference on Machine Learning (ICML) 2023

Recent advances in algorithmic design and principled, theory-driven deep learning architectures have sparked a growing interest in control and dynamical system theory. Complementary, machine learning plays an important role in enhancing existing control theory algorithms in terms of performance and scalability. The boundaries between both disciplines are blurring even further with the rise of modern reinforcement learning, a field at the crossroad of data-driven control theory and machine learning. This workshop aims to unravel the mutual relationship between learning, control, and dynamical systems and to shed light on recent parallel developments in different communities. Strengthening the connection between learning and control will open new possibilities for interdisciplinary research areas.

We invite researcher in machine learning, control, and dynamical systems to submit their latest works to our workshop.
Topics include but are not limited to (see Call for Papers for more details):

  • Optimal transport in machine learning applications
  • Stochastic analysis and optimal control
  • Dynamical probabilistic inference e.g., MCMC, variational inference, etc.
  • Neural ODEs, SDEs, and PDEs, e.g., diffusion models

Announcements

Mar, 2023 Our workshop proposal was accepted at ICML 2023. Call for submissions and contributions will follow soon. Stay tuned!

Confirmed Speakers

Brandon Amos

Meta AI

Claire Tomlin

UC Berkeley

Marco Cuturi

Apple & ENSAE CREST

Rianne van den Berg

Microsoft Research

Jiequn Han

Flatiron Institute

Giorgia Ramponi

ETH Zurich


Confirmed Panelists

Daniela Rus

MIT

Evangelos Theodorou

Georgia Tech & Amazon

Jeannette Bohg

Stanford

Arnaud Doucet

University of Oxford & DeepMind

Sarah Dean

Cornell


Organizers

Valentin De Bortoli

ENS Paris

Charlotte Bunne

ETH Zurich

Guan-Horng Liu

Georgia Tech

Tianrong Chen

Georgia Tech

Anima Anandkumar

Caltech & NVIDIA

Maxim Raginsky

UIUC

Melanie Zeilinger

ETH Zurich

Pratik Chaudhari

UPenn

Questions

Contact us at frontiers4lcd@gmail.com.