Classification of Cardiotocography Signals Using Machine Learning. - Sumedh Anand Sontakke; Jay Lohokare; Reshul Dani; Pranav Shivagaje (IntelliSys (2), 2018)

Unsupervised Hierarchical Concept Learning. - Sumegh Roychowdhury; Sumedh A. Sontakke; Nikaash Puri; Mausoom Sarkar; Milan Aggarwal; Pinkesh Badjatiya; Balaji Krishnamurthy; Laurent Itti (CoRR, 2020)

Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning. - Sumedh A. Sontakke; Arash Mehrjou; Laurent Itti; Bernhard Schölkopf (ICML, 2021)

Video2Skill: Adapting Events in Demonstration Videos to Skills in an Environment using Cyclic MDP Homomorphisms. - Sumedh A. Sontakke; Sumegh Roychowdhury; Mausoom Sarkar; Nikaash Puri; Balaji Krishnamurthy; Laurent Itti (CoRR, 2021)

GalilAI: Out-of-Task Distribution Detection using Causal Active Experimentation for Safe Transfer RL. - Sumedh A. Sontakke; Stephen Iota; Zizhao Hu; Arash Mehrjou; Laurent Itti; Bernhard Schölkopf (AISTATS, 2022)

SHERLock: Self-Supervised Hierarchical Event Representation Learning. - S. Roychowdhury; Sumedh A. Sontakke; Laurent Itti; M. Sarkar; Milan Aggarwal; Pinkesh Badjatiya; Nikaash Puri; Balaji Krishnamurthy (ICPR, 2022)

Model2Detector: Widening the Information Bottleneck for Out-of-Distribution Detection using a Handful of Gradient Steps. - Sumedh A. Sontakke; Buvaneswari Ramanan; Laurent Itti; Thomas Woo (CoRR, 2022)

Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions. - Yevgen Chebotar; Quan Vuong; Karol Hausman; Fei Xia 002; Yao Lu 006; Alex Irpan; Aviral Kumar; Tianhe Yu; Alexander Herzog; Karl Pertsch; Keerthana Gopalakrishnan; Julian Ibarz; et al. (CoRL, 2023)

RoboCLIP: One Demonstration is Enough to Learn Robot Policies. - Sumedh Sontakke; Jesse Zhang; Sébastien M. R. Arnold; Karl Pertsch; Erdem Biyik; Dorsa Sadigh; Chelsea Finn; Laurent Itti (NeurIPS, 2023)

RT-1: Robotics Transformer for Real-World Control at Scale. - Anthony Brohan; Noah Brown; Justice Carbajal; Yevgen Chebotar; Joseph Dabis; Chelsea Finn; Keerthana Gopalakrishnan; Karol Hausman; Alexander Herzog; Jasmine Hsu; Julian Ibarz; Brian Ichter; et al. (Robotics: Science and Systems, 2023)

Value Explicit Pretraining for Goal-Based Transfer Learning. - Kiran Lekkala; Henghui Bao; Sumedh Sontakke; Laurent Itti (CoRR, 2023)

Lightweight Learner for Shared Knowledge Lifelong Learning. - Yunhao Ge; Yuecheng Li; Di Wu; Ao Xu; Adam M. Jones; Amanda Sofie Rios; Iordanis Fostiropoulos; Shixian Wen; Po-Hsuan Huang; Zachary William Murdock; Gozde Sahin; Shuo Ni; et al. (Trans. Mach. Learn. Res., 2023)

ReWiND: Language-Guided Rewards Teach Robot Policies without New Demonstrations. - Jiahui Zhang; Yusen Luo; Abrar Anwar; Sumedh Anand Sontakke; Joseph J. Lim; Jesse Thomason; Erdem Biyik; Jesse Zhang (CoRR, 2025)

Demonstrating Multi-Suction Item Picking at Scale via Multi-Modal Learning of Pick Success. - Che Wang; Jeroen van Baar; Chaitanya Mitash; Shuai Li; Dylan Randle; Weiyao Wang 005; Sumedh Sontakke; Kostas E. Bekris; Kapil Katyal (CoRR, 2025)