Shivakanth Sujit

15 papers A* 3Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A multi-user multi-robot multi-goal multi-device human-robot interaction manipulation benchmark. Frontiers Robotics AI Akito Yoshida, Rousslan Fernand Julien Dossa, Marina Di Vincenzo, Shivakanth Sujit, Hannah Douglas, Kai Arulkumaran
2025	—	`conf`	Improving Low-Cost Teleoperation: Augmenting GELLO with Force. SII Shivakanth Sujit, Luca Nunziante, Dan Ogawa Lillrank, Rousslan Fernand Julien Dossa, Kai Arulkumaran
2025	J	`jnl`	Improving Low-Cost Teleoperation: Augmenting GELLO with Force. CoRR Shivakanth Sujit, Luca Nunziante, Dan Ogawa Lillrank, Rousslan Fernand Julien Dossa, Kai Arulkumaran
2024	A*	`conf`	PcLast: Discovering Plannable Continuous Latent States. ICML Anurag Koul, Shivakanth Sujit, Shaoru Chen, Ben Evans, Lili Wu, Byron Xu, Rajan Chari, Riashat Islam, Raihan Seraj, Yonathan Efroni, Lekan P. Molu, Miroslav Dudík, John Langford, Alex Lamb
2024	J	`jnl`	Reinforcement Learning for Sequence Design Leveraging Protein Language Models. CoRR Jithendaraa Subramanian, Shivakanth Sujit, Niloy Irtisam, Umong Sain, Derek Nowrouzezahrai, Samira Ebrahimi Kahou, Riashat Islam
2023	J	`jnl`	Bridging the Gap Between Offline and Online Reinforcement Learning Evaluation Methodologies. Trans. Mach. Learn. Res. Shivakanth Sujit, Pedro H. M. Braga, Jörg Bornschein, Samira Ebrahimi Kahou
2023	J	`jnl`	PcLast: Discovering Plannable Continuous Latent States. CoRR Anurag Koul, Shivakanth Sujit, Shaoru Chen, Ben Evans, Lili Wu, Byron Xu, Rajan Chari, Riashat Islam, Raihan Seraj, Yonathan Efroni, Lekan P. Molu, Miro Dudík, John Langford, Alex Lamb
2023	A*	`conf`	Prioritizing Samples in Reinforcement Learning with Reducible Loss. NeurIPS Shivakanth Sujit, Somjit Nath, Pedro H. M. Braga, Samira Ebrahimi Kahou
2023	—	`conf`	RelationalUNet for Image Segmentation. MLMI@MICCAI (1) Ivaxi Sheth, Pedro H. M. Braga, Shivakanth Sujit, Sahar Dastani, Samira Ebrahimi Kahou
2022	J	`jnl`	Bridging the Gap Between Offline and Online Reinforcement Learning Evaluation Methodologies. CoRR Shivakanth Sujit, Pedro H. M. Braga, Jörg Bornschein, Samira Ebrahimi Kahou
2022	J	`jnl`	Factorized multi-scale multi-resolution residual network for single image deraining. Appl. Intell. Shivakanth Sujit, Deivalakshmi Subbian, Seok-Bum Ko
2022	A*	`conf`	Learning Robust Dynamics through Variational Sparse Gating. NeurIPS Arnav Kumar Jain, Shivakanth Sujit, Shruti Joshi, Vincent Michalski, Danijar Hafner, Samira Ebrahimi Kahou
2022	J	`jnl`	Learning Robust Dynamics through Variational Sparse Gating. CoRR Arnav Kumar Jain, Shivakanth Sujit, Shruti Joshi, Vincent Michalski, Danijar Hafner, Samira Ebrahimi Kahou
2022	J	`jnl`	Prioritizing Samples in Reinforcement Learning with Reducible Loss. CoRR Shivakanth Sujit, Somjit Nath, Pedro H. M. Braga, Samira Ebrahimi Kahou
2022	J	`jnl`	Reinforcement learning based adaptive PID controller design for control of linear/nonlinear unstable processes. Appl. Soft Comput. T. Shuprajhaa, Shivakanth Sujit, K. Srinivasan