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Author Information
Risi Kondor (Flatiron Institute)
Risi Kondor joined the Flatiron Institute in 2019 as a Senior Research Scientist with the Center for Computational Mathematics. Previously, Kondor was an Associate Professor in the Department of Computer Science, Statistics, and the Computational and Applied Mathematics Initiative at the University of Chicago. His research interests include computational harmonic analysis and machine learning. Kondor holds a Ph.D. in Computer Science from Columbia University, an MS in Knowledge Discovery and Data Mining from Carnegie Mellon University, and a BA in Mathematics from the University of Cambridge. He also holds a diploma in Computational Fluid Dynamics from the Von Karman Institute for Fluid Dynamics and a diploma in Physics from Eötvös Loránd University in Budapest.
Taco Cohen (Qualcomm AI Research)
Taco Cohen is a machine learning research scientist at Qualcomm AI Research in Amsterdam and a PhD student at the University of Amsterdam, supervised by prof. Max Welling. He was a co-founder of Scyfer, a company focussed on active deep learning, acquired by Qualcomm in 2017. He holds a BSc in theoretical computer science from Utrecht University and a MSc in artificial intelligence from the University of Amsterdam (both cum laude). His research is focussed on understanding and improving deep representation learning, in particular learning of equivariant and disentangled representations, data-efficient deep learning, learning on non-Euclidean domains, and applications of group representation theory and non-commutative harmonic analysis, as well as deep learning based source compression. He has done internships at Google Deepmind (working with Geoff Hinton) and OpenAI. He received the 2014 University of Amsterdam thesis prize, a Google PhD Fellowship, ICLR 2018 best paper award for “Spherical CNNs”, and was named one of 35 innovators under 35 in Europe by MIT in 2018.
Related Events (a corresponding poster, oral, or spotlight)
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2020 Tutorial: (Track2) Equivariant Networks »
Mon. Dec 7th 10:30 AM -- 01:00 PM Room
More from the Same Authors
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2021 : ATOM3D: Tasks on Molecules in Three Dimensions »
Raphael Townshend · Martin Vögele · Patricia Suriana · Alex Derry · Alexander Powers · Yianni Laloudakis · Sidhika Balachandar · Bowen Jing · Brandon Anderson · Stephan Eismann · Risi Kondor · Russ Altman · Ron Dror -
2022 : Multiresolution Mesh Networks For Learning Dynamical Fluid Simulations »
Bach Nguyen · Truong Son Hy · Long Tran-Thanh · Risi Kondor -
2022 : Predicting Drug-Drug Interactions using Deep Generative Models on Graphs »
Khang Ngo · Truong Son Hy · Risi Kondor -
2022 : On the Expressive Power of Geometric Graph Neural Networks »
Cristian Bodnar · Chaitanya K. Joshi · Simon Mathis · Taco Cohen · Pietro Liò -
2022 : Deconfounded Imitation Learning »
Risto Vuorio · Pim de Haan · Johann Brehmer · Hanno Ackermann · Daniel Dijkman · Taco Cohen -
2023 Poster: EDGI: Equivariant Diffusion for Planning with Embodied Agents »
Johann Brehmer · Joey Bose · Pim de Haan · Taco Cohen -
2023 Poster: Geometric Algebra Transformers »
Johann Brehmer · Pim de Haan · Sönke Behrends · Taco Cohen -
2022 : Panel Discussion I: Geometric and topological principles for representation learning in ML »
Irina Higgins · Taco Cohen · Erik Bekkers · Nina Miolane · Rose Yu -
2022 : On the Expressive Power of Geometric Graph Neural Networks »
Cristian Bodnar · Chaitanya K. Joshi · Simon Mathis · Taco Cohen · Pietro Liò -
2022 : From Equivariance to Naturality »
Taco Cohen -
2022 Poster: A PAC-Bayesian Generalization Bound for Equivariant Networks »
Arash Behboodi · Gabriele Cesa · Taco Cohen -
2022 Poster: Weakly supervised causal representation learning »
Johann Brehmer · Pim de Haan · Phillip Lippe · Taco Cohen -
2022 Poster: On the symmetries of the synchronization problem in Cryo-EM: Multi-Frequency Vector Diffusion Maps on the Projective Plane »
Gabriele Cesa · Arash Behboodi · Taco Cohen · Max Welling -
2021 Poster: Autobahn: Automorphism-based Graph Neural Nets »
Erik Thiede · Wenda Zhou · Risi Kondor -
2021 : ATOM3D: Tasks on Molecules in Three Dimensions »
Raphael Townshend · Martin Vögele · Patricia Suriana · Alex Derry · Alexander Powers · Yianni Laloudakis · Sidhika Balachandar · Bowen Jing · Brandon Anderson · Stephan Eismann · Risi Kondor · Russ Altman · Ron Dror -
2020 Poster: Natural Graph Networks »
Pim de Haan · Taco Cohen · Max Welling -
2019 : Solutions »
Fitzroy Christian · Lily Hu · Risi Kondor · Brandeis Marshall · Fabian Rogers · Friederike Schuur · Emanuel Moss -
2019 Workshop: Minding the Gap: Between Fairness and Ethics »
Igor Rubinov · Risi Kondor · Jack Poulson · Manfred K. Warmuth · Emanuel Moss · Alexa Hagerty -
2019 Poster: Cormorant: Covariant Molecular Neural Networks »
Brandon Anderson · Truong Son Hy · Risi Kondor -
2019 Spotlight: Cormorant: Covariant Molecular Neural Networks »
Brandon Anderson · Truong Son Hy · Risi Kondor -
2019 Poster: A General Theory of Equivariant CNNs on Homogeneous Spaces »
Taco Cohen · Mario Geiger · Maurice Weiler -
2018 Poster: Clebsch–Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network »
Risi Kondor · Zhen Lin · Shubhendu Trivedi -
2018 Poster: 3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data »
Maurice Weiler · Wouter Boomsma · Mario Geiger · Max Welling · Taco Cohen