Karush Suri

Hi! I am a senior research engineer at Recursion (Valence Labs) with Dominique Beaini and Emmanuel Bengio. Previously I was a research engineer at Google X with Rishabh Singh and Lam Nguyen, and a student researcher at Borealis AI. I completed my M.A.Sc in Electrical and Computer Engineering at the University of Toronto with Yuri Lawryshyn and Kostas Plataniotis. I earned my B.Tech in Electrical and Computer Engineering from Amity University where I was affiliated as an undergraduate research assistant with Rinki Gupta. Besides research I enjoy swimming and reading comic books.

[Github]   [Google Scholar]   [LinkedIn]   [Twitter]   [Email]
Publications 1 = Equal Contribution

How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval
P Fradkin1, P Azadi1, K Suri, . . ., D Beaini
NeurIPS 2024
FM4S @ NeurIPS 2024 (oral) (Best Paper Award)
[paper]  [reviews]

On the Scalability of GNNs for Molecular Graphs
M Sypetkowski, F Wenkel, . . ., K Suri, P Fradkin, D Beaini
NeurIPS 2024
[paper]  [code]  [blog]  [reviews]

Surprise Minimizing Multi-Agent Learning with Energy-based Models
K Suri, X Q Shi, K Plataniotis, Y Lawryshyn
NeurIPS 2022
[paper]  [webpage]  [code]  [talk]  [reviews]

Off-Policy Evolutionary Reinforcement Learning with Maximum Mutations
K Suri
AAMAS 2022. (oral)
[paper]  [webpage]  [code]  [talk]  [reviews]

Continuous Sign Language Recognition from Wearable IMUs using CapsNet and Game Theory
K Suri, R Gupta
CEE, Elsevier, Vol. 78, 2019.
[paper]  [code]  [demo]  [reviews]

Transfer Learning for sEMG-based Hand Gesture Classification using Master-Slave Nets
K Suri, R Gupta
IEEE IC3I 2018.
[paper]

Theses

Deep Hierarchical Reinforcement Learning
MASc thesis, 2021
University of Toronto
[link]

Application of Deep Learning and Game Theory for Sign Language Recognition using Wearable Sensors
BTech thesis, 2019
Amity University
[link]