Continuous sign language recognition from wearable IMUs using deep capsule networks and game theory. - Karush Suri; Rinki Gupta (Comput. Electr. Eng., 2019)

Convolutional Neural Network Array for Sign Language Recognition using Wearable IMUs. - Karush Suri; Rinki Gupta (CoRR, 2020)

Activity Detection from Wearable Electromyogram Sensors using Hidden Markov Model. - Rinki Gupta; Karush Suri (CoRR, 2020)

Classification of Hand Gestures from Wearable IMUs using Deep Neural Network. - Karush Suri; Rinki Gupta (CoRR, 2020)

Dual Stage Classification of Hand Gestures using Surface Electromyogram. - Karush Suri; Rinki Gupta (CoRR, 2020)

Transfer Learning for sEMG-based Hand Gesture Classification using Deep Learning in a Master-Slave Architecture. - Karush Suri; Rinki Gupta (CoRR, 2020)

Evolve To Control: Evolution-based Soft Actor-Critic for Scalable Reinforcement Learning. - Karush Suri; Xiao Qi Shi; Konstantinos N. Plataniotis; Yuri A. Lawryshyn (CoRR, 2020)

Energy-based Surprise Minimization for Multi-Agent Value Factorization. - Karush Suri; Xiao Qi Shi; Konstantinos N. Plataniotis; Yuri A. Lawryshyn (CoRR, 2020)

TradeR: Practical Deep Hierarchical Reinforcement Learning for Trade Execution. - Karush Suri; Xiao Qi Shi; Konstantinos N. Plataniotis; Yuri A. Lawryshyn (CoRR, 2021)

Off-Policy Evolutionary Reinforcement Learning with Maximum Mutations. - Karush Suri (AAMAS, 2022)

Surprise Minimizing Multi-Agent Learning with Energy-based Models. - Karush Suri; Xiao Qi Shi; Konstantinos N. Plataniotis; Yuri A. Lawryshyn (NeurIPS, 2022)

How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval. - Philip Fradkin; Puria Azadi Moghadam; Karush Suri; Frederik Wenkel; Ali Bashashati; Maciej Sypetkowski; Dominique Beaini (NeurIPS, 2024)

On the Scalability of GNNs for Molecular Graphs. - Maciej Sypetkowski; Frederik Wenkel; Farimah Poursafaei; Nia Dickson; Karush Suri; Philip Fradkin; Dominique Beaini (NeurIPS, 2024)

How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval. - Philip Fradkin; Puria Azadi; Karush Suri; Frederik Wenkel; Ali Bashashati; Maciej Sypetkowski; Dominique Beaini (CoRR, 2024)

A Cross Modal Knowledge Distillation & Data Augmentation Recipe for Improving Transcriptomics Representations through Morphological Features. - Ihab Bendidi; Yassir El Mesbahi; Alisandra K. Denton; Karush Suri; Kian Kenyon-Dean; Auguste Genovesio; Emmanuel Noutahi (CoRR, 2025)