Homanga Bharadhwaj

According to our database, Homanga Bharadhwaj authored at least 42 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable Robot Manipulation.

Homanga Bharadhwaj, Debidatta Dwibedi, Abhinav Gupta, Shubham Tulsiani, Carl Doersch, Ted Xiao, Dhruv Shah, Fei Xia, Dorsa Sadigh, Sean Kirmani

CoRR, 2024

Semantically Controllable Augmentations for Generalizable Robot Learning.

Zoey Qiuyu Chen, Zhao Mandi, Homanga Bharadhwaj, Mohit Sharma, Shuran Song, Abhishek Gupta, Vikash Kumar

CoRR, 2024

Track2Act: Predicting Point Tracks from Internet Videos enables Diverse Zero-shot Robot Manipulation.

Homanga Bharadhwaj, Roozbeh Mottaghi, Abhinav Gupta, Shubham Tulsiani

CoRR, 2024

RoboAgent: Generalization and Efficiency in Robot Manipulation via Semantic Augmentations and Action Chunking.

Homanga Bharadhwaj, Jay Vakil, Mohit Sharma, Abhinav Gupta, Shubham Tulsiani, Vikash Kumar

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Towards Generalizable Zero-Shot Manipulation via Translating Human Interaction Plans.

Homanga Bharadhwaj, Abhinav Gupta, Vikash Kumar, Shubham Tulsiani

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Position: Scaling Simulation is Neither Necessary Nor Sufficient for In-the-Wild Robot Manipulation.

Homanga Bharadhwaj

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Track2Act: Predicting Point Tracks from Internet Videos Enables Generalizable Robot Manipulation.

Homanga Bharadhwaj, Roozbeh Mottaghi, Abhinav Gupta, Shubham Tulsiani

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Zero-Shot Robot Manipulation from Passive Human Videos.

Homanga Bharadhwaj, Abhinav Gupta, Shubham Tulsiani, Vikash Kumar

CoRR, 2023

Visual Affordance Prediction for Guiding Robot Exploration.

Homanga Bharadhwaj, Abhinav Gupta, Shubham Tulsiani

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Simplifying Model-based RL: Learning Representations, Latent-space Models, and Policies with One Objective.

Raj Ghugare, Homanga Bharadhwaj, Benjamin Eysenbach, Sergey Levine, Russ Salakhutdinov

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Offline Policy Optimization in RL with Variance Regularizaton.

Riashat Islam, Samarth Sinha, Homanga Bharadhwaj, Samin Yeasar Arnob, Zhuoran Yang, Animesh Garg, Zhaoran Wang, Lihong Li, Doina Precup

CoRR, 2022

CACTI: A Framework for Scalable Multi-Task Multi-Scene Visual Imitation Learning.

Zhao Mandi, Homanga Bharadhwaj, Vincent Moens, Shuran Song, Aravind Rajeswaran, Vikash Kumar

CoRR, 2022

Information Prioritization through Empowerment in Visual Model-based RL.

Homanga Bharadhwaj, Mohammad Babaeizadeh, Dumitru Erhan, Sergey Levine

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Auditing AI models for Verified Deployment under Semantic Specifications.

Homanga Bharadhwaj, De-An Huang, Chaowei Xiao, Anima Anandkumar, Animesh Garg

CoRR, 2021

Learning by Watching: Physical Imitation of Manipulation Skills from Human Videos.

Haoyu Xiong, Quanzhou Li, Yun-Chun Chen, Homanga Bharadhwaj, Samarth Sinha, Animesh Garg

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Continual Model-Based Reinforcement Learning with Hypernetworks.

Yizhou Huang, Kevin Xie, Homanga Bharadhwaj, Florian Shkurti

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

LEAF: Latent Exploration Along the Frontier.

Homanga Bharadhwaj, Animesh Garg, Florian Shkurti

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Latent Skill Planning for Exploration and Transfer.

Kevin Xie, Homanga Bharadhwaj, Danijar Hafner, Animesh Garg, Florian Shkurti

Proceedings of the 9th International Conference on Learning Representations, 2021

Conservative Safety Critics for Exploration.

Homanga Bharadhwaj, Aviral Kumar, Nicholas Rhinehart, Sergey Levine, Florian Shkurti, Animesh Garg

Proceedings of the 9th International Conference on Learning Representations, 2021

Auditing Robot Learning for Safety and Compliance during Deployment.

Homanga Bharadhwaj

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

DIBS: Diversity Inducing Information Bottleneck in Model Ensembles.

Samarth Sinha, Homanga Bharadhwaj, Anirudh Goyal, Hugo Larochelle, Animesh Garg, Florian Shkurti

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Generalized Adversarially Learned Inference.

Yatin Dandi, Homanga Bharadhwaj, Abhishek Kumar, Piyush Rai

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Skill Transfer via Partially Amortized Hierarchical Planning.

Kevin Xie, Homanga Bharadhwaj, Danijar Hafner, Animesh Garg, Florian Shkurti

CoRR, 2020

D2RL: Deep Dense Architectures in Reinforcement Learning.

Samarth Sinha, Homanga Bharadhwaj, Aravind Srinivas, Animesh Garg

CoRR, 2020

A Bayesian Approach with Type-2 Student-tMembership Function for T-S Model Identification.

Vikas Singh, Homanga Bharadhwaj, Nishchal K. Verma

CoRR, 2020

De-anonymization of authors through arXiv submissions during double-blind review.

Homanga Bharadhwaj, Dylan Turpin, Animesh Garg, Ashton Anderson

CoRR, 2020

Dynamics-Aware Latent Space Reachability for Exploration in Temporally-Extended Tasks.

Homanga Bharadhwaj, Animesh Garg, Florian Shkurti

CoRR, 2020

A Generative Framework for Zero-Shot Learning with Adversarial Domain Adaptation.

Varun Khare, Divyat Mahajan, Homanga Bharadhwaj, Vinay Kumar Verma, Piyush Rai

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization.

Homanga Bharadhwaj, Kevin Xie, Florian Shkurti

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

MANGA: Method Agnostic Neural-policy Generalization and Adaptation.

Homanga Bharadhwaj, Shoichiro Yamaguchi, Shin-ichi Maeda

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning.

Timo Milbich, Karsten Roth, Homanga Bharadhwaj, Samarth Sinha, Yoshua Bengio, Björn Ommer, Joseph Paul Cohen

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

New Tab Page Recommendations Strongly Concentrate Web Browsing to Familiar Sources.

Homanga Bharadhwaj, Nisheeth Srivastava

Proceedings of the 11th ACM Conference on Web Science, 2019

Explainable recommender system that maximizes exploration.

Homanga Bharadhwaj

Proceedings of the 24th International Conference on Intelligent User Interfaces: Companion, 2019

Hierarchical Multi-Task Learning for Healthy Drink Classification.

Homin Park, Homanga Bharadhwaj, Brian Y. Lim

Proceedings of the International Joint Conference on Neural Networks, 2019

A Synchro-phasor Assisted Optimal Features Based Scheme for Fault Detection and Classification.

Homanga Bharadhwaj, Avinash Kumar, Abheejeet Mohapatra

Proceedings of the International Joint Conference on Neural Networks, 2019

Meta-Learning for User Cold-Start Recommendation.

Homanga Bharadhwaj

Proceedings of the International Joint Conference on Neural Networks, 2019

A Data-Efficient Framework for Training and Sim-to-Real Transfer of Navigation Policies.

Homanga Bharadhwaj, Zihan Wang, Yoshua Bengio, Liam Paull

Proceedings of the International Conference on Robotics and Automation, 2019

2018

Explanations for Temporal Recommendations.

Homanga Bharadhwaj, Shruti Joshi

Künstliche Intell., 2018

New tab page recommendations cause a strong suppression of exploratory web browsing behaviors.

Homanga Bharadhwaj, Nisheeth Srivastava

CoRR, 2018

Layer-wise Relevance Propagation for Explainable Recommendations.

Homanga Bharadhwaj

CoRR, 2018

RecGAN: recurrent generative adversarial networks for recommendation systems.

Homanga Bharadhwaj, Homin Park, Brian Y. Lim

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Layer-Wise Relevance Propagation for Explainable Deep Learning Based Speech Recognition.

Homanga Bharadhwaj

Proceedings of the 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2018