统计物理与神经计算

Physics, Machine and Intelligence

INTheory on-line Seminar

INTheory on-line Seminar Series

Introduction

We hold a regular (e.g. monthly) on-line seminar "INTheory", focusing on exchange of ideas about the interplay between physics, machine learning and brain sciences. The name is a short-hand for theory of intelligence, or integrating theory towards understanding intelligence.

Speakers announced here, the following time is Beijing time, and we use the on-line meeting software of voovmeeting (click Free Trials to download the application). The video of past talks are Here.

Seminar Schedule (updating)

2022 Spring Season

Mar 31, 16:00-17:30, INTheory-6

Talk title: TBA

Speaker: Prof. Srdjan Ostojic

Voov meeting ID: TBA

Apr 14 2022, 17:00-18:30, INTheory-7

Talk title: TBA

Speaker: Prof. Yan Fyodorov

Voov meeting ID: TBA

Previous speaker list

2021 Fall Season

Dec 10 2021, 17:00-18:30, INTheory-5

Talk title: Geometric landscapes and phase transitions in deep neural network models

Speaker: Prof.  Riccardo Zecchina (talk poster INTheory-05)

Nov 18 2021, 16:00-17:30, INTheory-4

Talk title: Data structure and learning dynamics 
 in neural networks

Speaker: Prof. Sebastian Goldt (talk poster INTheory-04)

Nov 4 2021, 8:00-9:30, INTheory-3

Talk title: White-Box Deep (Convolution) Networks from the Principle of Rate Reduction

Speaker: Prof. Yi Ma (talk poster INTheory-03)

Oct 22 2021, 15:00~16:30, INTheory-2

Talk title: Statistical physics approach to neuronal dynamics

Speakers: Prof. Moritz Helias and Dr. Alexander van Meegen (talk poster INTheory-02)

Oct 12 2021, 14:00-15:30, INTheory-1

Talk title: Fractional diffusion theory of neural circuits

Speaker: Prof. Pulin Gong  (talk poster INTheory-01)

Created: Aug 21, 2021 | 11:59