Statistical Physics and Machine Learning: Program
Please find below the preliminary program of the workshop as of September 15, 2023. You can also consult the more complete book of abstracts for more details on the presentations, including posters.
| September 18, 2023 - Seminaris Hotel Leipzig | ||||
| 12:30 | - | 13:50 | - Lunch at Seminaris Hotel - | |
| 13:50 | - | 14:00 | - Opening - | |
| Session I: Hidden Structures (Chair: Johannes Zierenberg) | ||||
| 14:00 | - | 14:30 | Jeff Byers | Statistical Mechanics and the Geometry of Machine Learning |
| 14:45 | - | 15:00 | Andrea Perin | Quantifying the Improvements in Learning Efficiency Obtained by Leveraging Symmetries in the Data |
| 15:15 | - | 15:30 | NN | Brainstorming session |
| 15:45 | - | 16:15 | - Coffee Break - | |
| Session II: Interpretable Machine Learning (Chair: Riccardo Zecchina) | ||||
| 16:15 | - | 16:45 | Marvin Wright | Interpretable Machine Learning |
| 17:00 | - | 17:15 | Konstantin Nikolaou | Towards a Phenomenological Understanding of Neural Networks: Data |
| 17:30 | - | 17:45 | NN | Brainstorming session |
| 18:30 | - | 20:00 | - Dinner at Seminaris Hotel - | |
| 20:00 | - | 22:00 | - Posters and welcome reception - | |
| September 19, 2023 - Seminaris Hotel Leipzig | ||||
| Session III: Deep Networks (Chair: Jonathan Kadmon) | ||||
| 08:30 | - | 09:00 | Riccardo Zecchina | Liquid States in Neural Networks |
| 09:15 | - | 09:30 | Francesco Cagnetta | Learning Hierarchical Compositionality With Deep Convolutional Networks: Insights From a Random Hierarchy Model |
| 09:45 | - | 10:00 | Sebastiano Ariosto | A Statistical Mechanics Framework for Deep Neural Networks Beyond the Infinite-Width Limit |
| 10:00 | - | 10:30 | - Coffee Break - | |
| Session IV: Training I (Chair: Sebastian Goldt) | ||||
| 10:30 | - | 11:00 | Beatriz Seoane | Statistical Physics of Energy-Based Generative Models |
| 11:15 | - | 11:30 | Frederike Richert | The Role of the Activation Function in Feedforward Learning Systems |
| 11:45 | - | 12:00 | NN | Brainstorming session |
| 12:20 | - | 12:30 | - Conference photo - | |
| 12:30 | - | 14:00 | - Lunch at Seminaris Hotel - | |
| Session V: Training II (Chair: Beatriz Seoane) | ||||
| 14:00 | - | 14:30 | Sebastian Goldt | The Gaussian World is Not Enough -- How Training Data Shapes Neural Representations |
| 14:45 | - | 15:00 | Christian Keup | Learning Dynamics in Deep Teacher-Student Models |
| 15:15 | - | 15:30 | NN | Brainstorming session |
| 15:45 | - | 16:15 | - Coffee Break - | |
| 16:15 | - | 18:30 | - Conference Excursion - | |
| 19:00 | - | 21:00 | - Conference Dinner - | |
| September 20, 2023 - Seminaris Hotel Leipzig | ||||
| Session VI: Quantum Mechanics (Chair: Wolfhard Janke) | ||||
| 08:30 | - | 09:00 | Lei Wang | Unlocking the Power of the Variational Free-Energy Principle with Deep Generative Models |
| 09:15 | - | 09:30 | Luciano Vitteriti | Transformer Variational Wave Functions for Frustrated Quantum Spin Systems |
| 09:45 | - | 10:00 | NN | Brainstorming Session |
| 10:00 | - | 10:30 | - Coffee Break - | |
| Session VII: Recurrent Networks (Chair: Marylou Gabrié) | ||||
| 10:30 | - | 11:00 | Jonathan Kadmon | Reliable Coding With Chaotic Neural Networks |
| 11:15 | - | 11:30 | Freya Behrens | The Backtracking Dynamical Cavity Method and Cellular Automata |
| 11:45 | - | 12:00 | NN | Brainstorming session |
| 12:30 | - | 14:00 | - Lunch at Seminaris Hotel - | |
| Session VIII: Sampling (Chair: Jeff Byers) | ||||
| 14:00 | - | 14:30 | Marylou Gabrié | Assisting Sampling (of Physical States) With Generative Models |
| 14:45 | - | 15:00 | Henrik Christiansen | Learning How to Integrate: Accelerating Hamiltonian Monte Carlo with Machine Learning |
| 15:15 | - | 15:30 | NN | Brainstorming session |
| 15:45 | - | 16:15 | - Coffee Break - | |
| 16:15 | - | 18:30 | - Group Projects - | |
| 18:30 | - | 20:00 | - Dinner at Seminaris Hotel - | |
| September 21, 2023 - Seminaris Hotel Leipzig | ||||
| Session IX: Physical Systems (Chair: Martin Weigel) | ||||
| 08:30 | - | 09:00 | Miriam Klopotek | From Model Systems of Matter to Physical Computing and Physics-Explainable Machine Learning |
| 09:15 | - | 09:30 | Riccardo Rende | Optimal Inference of a Generalised Potts Model by Single-Layer Transformers with Factored Attention |
| 09:45 | - | 10:00 | NN | Brainstorming Session |
| 10:00 | - | 10:30 | - Coffee Break - | |
| 10:30 | - | 12:00 | - Panel Discussion: Open Problems and Challenges - | |
| 12:00 | - | 12:15 | - Summary - | |
| 12:15 | - | 12:30 | - Conference Closing - | |
| 12:30 | - | 14:00 | - Lunch at Seminaris Hotel - | |
