CIS Colloquia

This seminar series brings together professors and researchers from EPFL and all around the world working on different aspects of Intelligent Systems to discuss the current state of the art.

Prof. Radhika Nagpal Credit: Bret Hartman / TED

Upcoming

Prof. Chris Wiggins (Columbia University)

Data Science at The New York Times

Prof. Sarah Teichmann (Wellcome Sanger Institute)

(Machine) Learnings from the Human Cell Atlas

Past

2022

Prof. Philippe Rigollet

Optimal Transport for Statistics and Machine Learning

Prof. Pradeep Ravikumar (Carnegie Mellon University)

Sept. 14, 2022

Prof. Surya Ganguli (Stanford, Meta AI)

Oct. 3

2021

Prof. Weinan E

AI for science

Kay Firth-Butterfield

Global governance of AI: More important than ever

Prof. Cordelia Schmid

Automatic Understanding of the Visual World

Prof. Daniela Rus

One Robot for Every Task

Prof. Michael Bronstein

Geometric Deep Learning: from Euclid to drug design

Prof. Vijay Kumar

Swarms of Small, Flying Robots

Prof. Allison Okamura

Wearable Haptic Devices for Ubiquitous Communication

Prof. Susan Murphy

We used Reinforcement Learning; but did it work?

2020

Prof. Shafi Goldwasser

Safe machine learning

Prof. Jean-Philippe Vert

Differentiable ranking and sorting

Prof. Radhika Nagpal

The collective intelligence of army ants, and the robots they inspire

Prof. Bin Yu

Veridical data science aims at responsible, reliable, reproducible, and transparent data analysis and decision-making

Contact

If you have any questions, please contact: [email protected]

If you have a suggestion for a future speaker or would like to take part in the CIS Colloquia as a speaker, please fill out the Speaker Suggestion Form