Description
[Day2]
Date: Sep. 8 Switzerland 10 : 00 -14 : 00 / Japan 17 : 00 – 21 : 00
Program:
(Abstract)
1: click the below: https://www.youtube.com/watch?v=eaq5k-90QU4
10 : 00 / 17 : 00 Etienne Boursier (EPFL-CIS)
Title: Gradient flow dynamics of shallow ReLU networks for square loss and orthogonal inputs
2: click the below: https://www.youtube.com/watch?v=vdjsNzY6ncY&t=8s
10 : 30 / 17 : 30 Chao Li (RIKEN-AIP)
Title: Structure Search for Tensor Network Learning
3: click the below: https://www.youtube.com/watch?v=RSxXC6L9l4I
11 : 00 / 18 : 00 Luca Viano (EPFL-CIS)
Title: Proximal Point Imitation Learning
4: click the below: https://www.youtube.com/watch?v=vdjsNzY6ncY&t=24m49s
11 : 30 / 18 : 30 Matthias Weissenbacher (RIKEN-AIP)
Title: Reinforcement Learning via Symmetries of Dynamics
5: click the below: https://www.youtube.com/watch?v=hpXSLE5IjPU
12 : 00 / 19 : 00 Sebastian Neumayer (EPFL-CIS)
Title: Lipschitz Function Approximation using DeepSpline Neural Networks
6: click the below: https://www.youtube.com/watch?v=vdjsNzY6ncY&t=1h3m8s
12 : 30 / 19 : 30 Koichi Tojo (RIKEN-AIP)
Title: A method to construct exponential family by representation theory
7: (Cancelled)
13 : 00 / 20 : 00 Raphael Reinauer (EPFL-CIS)
Title: The Topological BERT: Transforming Attention into Topology for Natural Language Processing
8: click the below: https://www.youtube.com/watch?v=vdjsNzY6ncY&t=1h32m22s
13 : 30 / 20 : 30 Tomasz M. Rutkowski (RIKEN-AIP)
Title: Machine Learning Approaches for EEG-derived Early-onset Dementia Neuro-biomarker Development
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EPFL is located in Switzerland and is one of the most vibrant and cosmopolitan science and technology institutions. EPFL has both a Swiss and international vocation and focuses on three missions: teaching, research and innovation.
The Center for Intelligent Systems (CIS) at EPFL, a joint initiative of the schools ENAC, IC, SB, STI, and SV seeks to advance research and practice in the strategic field of intelligent systems.
RIKEN is Japan’s largest comprehensive research institution renowned for high-quality research in a diverse range of scientific disciplines.
RIKEN Center for Advanced Intelligence Project (AIP) houses more than 30 research teams ranging from fundamentals of machine learning and optimization, applications in medicine, materials, and disaster, to the analysis of ethics and social impact of artificial intelligence.
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