EPFL CIS and RIKEN AIP started a seminar, titled “EPFL CIS – RIKEN AIP Joint Seminar series” from October, 2021.

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 analysis of ethics and social impact of artificial intelligence.

 Coming soon!

Schedule

Attendance to the seminar is free of charge, but pre-registration is required from Doorkeeper to obtain the Zoom access link.

Past Schedule Click here for the YouTube playlist! Incl. #1-#15
  • [1st] October 6th 5:00pm – 6:00pm JST
    Speaker: Volkan Cevher (EPFL CIS )
    Title: Optimization challenges in adversarial machine learning

Video archive available!
Presentation Document PDF(6.6MB)

  • [2nd]October 13th 5:00pm – 6:00pm JST
    Speaker: Masashi Sugiyama(RIKEN AIP)
    Title: Robust machine learning for reliable deployment

Video archive available!
Presentation Document PDF(4.08MB)

  • [3rd] October 20th 5:00pm – 6:00pm JST
    Speaker: Taiji Suzuki (RIKEN AIP)
    Title: Optimization theories of neural networks with its statistical perspective

Video archive available!
Presentation Document PDF(4.11MB)

  • [4th] October 27th 5:00pm – 6:00pm JST
    Speaker: Nicolas Flammarion (EPFL CIS )
    Title: Implicit Bias of SGD for Diagonal Linear Networks: a Provable Benefit of Stochasticity

Video archive available!

  • [5th] November 17th 6:00pm – 7:00pm JST
    Speaker: Martin Jaggi (EPFL CIS )
    Title: Learning with Strange Gradients

Video archive available!
Presentation Document PDF(7.97MB)

  • [6th] Wednesday, December 15th 6:00pm – 7:00pm JST
    Speaker: Hidetoshi Shimodaira (RIKEN AIP )
    Title:  Selection bias may be adjusted when the sample size is negative in hierarchical clustering, phylogeny, and variable selection

Video archive available!

  • [7th] Wednesday, January 19th 6:00pm – 7:00pm JST
    Speaker: Michele Ceriotti, EPFL CIS
    Title:  Representing atoms clouds: the foundations of atomic-scale machine learning

Video archive available!
Presentation Document PDF(18.52MB)

  • [8th] Wednesday, February 16th 6:00pm – 7:00pm JST
    Speaker: Qibin Zhao (RIKEN AIP)
    Title: Efficient Machine Learning with Tensor Networks

Video archive available!

  • [9th] Wednesday, March 2nd 6:00pm – 7:00pm JST
    Speaker: Michael Unser (EPFL CIS )
    Title:  New representer theorems for inverse problems and machine learning

Video archive available!
Presentation Document PDF(13.31MB)

  • [10th] Wednesday, March 9th 6:00pm – 7:00pm JST
    Speaker: Ichiro Takeuchi (RIKEN AIP)
    Title: Selective Inference for Deep Learning Model-driven Hypotheses

Video archive available!
Presentation Document PDF(2.46MB)

  • [11th] Wednesday, March 16th 6:00pm – 7:00pm JST
    Speaker: Lenaic Chizat (EPFL CIS )
    Title: Mean-Field Langevin Dynamics: convergence and applications

Video archive available!

  • [12th] Wednesday, March 23rd 6:00pm – 7:00pm JST
    Speaker: Koiti Hasida (RIKEN AIP)
    Title: Personal AI to Maximize the Value of Personal Data while Defending Human Rights and Democracy

Video archive available!

  • [13th] Wednesday, April 13th 5:00pm – 6:00pm JST
    Speaker: Emtiyaz Khan (RIKEN AIP)
    Title: The Bayesian Learning Rule for Adaptive AI

Video archive available!

  • [14th] Wednesday, May 11th 17:00 – 18:00 JST
    Speaker: Lenka Zdeborova (EPFL CIS)
    Title: Insights on gradient-based algorithms in high-dimensional non-convex optimisation

Video archive available!
Presentation Document PDF(11.18MB)

  • [15th] Wednesday, June 15th 5:00pm – 6:00pm JST
    Speaker:Naonori Ueda (RIKEN AIP)
    Title: Machine Learning Technologies for Disaster Resilience

Video archive available!