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ORCIDHomanga Bharadhwaj
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2020 – today
- 2024
[c27]Homanga Bharadhwaj, Roozbeh Mottaghi, Abhinav Gupta, Shubham Tulsiani:
Track2Act: Predicting Point Tracks from Internet Videos Enables Generalizable Robot Manipulation. ECCV (76) 2024: 306-324- [c26]Homanga Bharadhwaj:
Position: Scaling Simulation is Neither Necessary Nor Sufficient for In-the-Wild Robot Manipulation. ICML 2024 - [c25]Homanga Bharadhwaj, Jay Vakil, Mohit Sharma, Abhinav Gupta, Shubham Tulsiani, Vikash Kumar:
RoboAgent: Generalization and Efficiency in Robot Manipulation via Semantic Augmentations and Action Chunking. ICRA 2024: 4788-4795 - [c24]Homanga Bharadhwaj, Abhinav Gupta, Vikash Kumar, Shubham Tulsiani:
Towards Generalizable Zero-Shot Manipulation via Translating Human Interaction Plans. ICRA 2024: 6904-6911 - [i31]Homanga Bharadhwaj, Roozbeh Mottaghi, Abhinav Gupta, Shubham Tulsiani:
Track2Act: Predicting Point Tracks from Internet Videos enables Diverse Zero-shot Robot Manipulation. CoRR abs/2405.01527 (2024) - [i30]Zoey Qiuyu Chen, Zhao Mandi, Homanga Bharadhwaj, Mohit Sharma, Shuran Song, Abhishek Gupta, Vikash Kumar:
Semantically Controllable Augmentations for Generalizable Robot Learning. CoRR abs/2409.00951 (2024) - [i29]Homanga Bharadhwaj, Debidatta Dwibedi, Abhinav Gupta, Shubham Tulsiani, Carl Doersch, Ted Xiao, Dhruv Shah, Fei Xia, Dorsa Sadigh, Sean Kirmani:
Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable Robot Manipulation. CoRR abs/2409.16283 (2024) - 2023
- [c23]Raj Ghugare, Homanga Bharadhwaj, Benjamin Eysenbach, Sergey Levine, Russ Salakhutdinov:
Simplifying Model-based RL: Learning Representations, Latent-space Models, and Policies with One Objective. ICLR 2023 - [c22]Homanga Bharadhwaj, Abhinav Gupta, Shubham Tulsiani:
Visual Affordance Prediction for Guiding Robot Exploration. ICRA 2023: 3029-3036 - [i28]Homanga Bharadhwaj, Abhinav Gupta, Shubham Tulsiani, Vikash Kumar:
Zero-Shot Robot Manipulation from Passive Human Videos. CoRR abs/2302.02011 (2023) - [i27]Homanga Bharadhwaj, Abhinav Gupta, Shubham Tulsiani:
Visual Affordance Prediction for Guiding Robot Exploration. CoRR abs/2305.17783 (2023) - [i26]Homanga Bharadhwaj, Jay Vakil, Mohit Sharma, Abhinav Gupta, Shubham Tulsiani, Vikash Kumar:
RoboAgent: Generalization and Efficiency in Robot Manipulation via Semantic Augmentations and Action Chunking. CoRR abs/2309.01918 (2023) - [i25]Homanga Bharadhwaj, Abhinav Gupta, Vikash Kumar, Shubham Tulsiani:
Towards Generalizable Zero-Shot Manipulation via Translating Human Interaction Plans. CoRR abs/2312.00775 (2023) - 2022
- [c21]Homanga Bharadhwaj, Mohammad Babaeizadeh, Dumitru Erhan, Sergey Levine:
Information Prioritization through Empowerment in Visual Model-based RL. ICLR 2022 - [i24]Homanga Bharadhwaj, Mohammad Babaeizadeh, Dumitru Erhan, Sergey Levine:
INFOrmation Prioritization through EmPOWERment in Visual Model-Based RL. CoRR abs/2204.08585 (2022) - [i23]Raj Ghugare, Homanga Bharadhwaj, Benjamin Eysenbach
, Sergey Levine, Ruslan Salakhutdinov:
Simplifying Model-based RL: Learning Representations, Latent-space Models, and Policies with One Objective. CoRR abs/2209.08466 (2022) - [i22]Zhao Mandi, Homanga Bharadhwaj, Vincent Moens, Shuran Song, Aravind Rajeswaran, Vikash Kumar:
CACTI: A Framework for Scalable Multi-Task Multi-Scene Visual Imitation Learning. CoRR abs/2212.05711 (2022) - [i21]Riashat Islam, Samarth Sinha, Homanga Bharadhwaj, Samin Yeasar Arnob, Zhuoran Yang, Animesh Garg, Zhaoran Wang, Lihong Li, Doina Precup:
Offline Policy Optimization in RL with Variance Regularizaton. CoRR abs/2212.14405 (2022) - 2021
- [c20]Yatin Dandi, Homanga Bharadhwaj, Abhishek Kumar, Piyush Rai:
Generalized Adversarially Learned Inference. AAAI 2021: 7185-7192 - [c19]Samarth Sinha, Homanga Bharadhwaj, Anirudh Goyal, Hugo Larochelle, Animesh Garg, Florian Shkurti:
DIBS: Diversity Inducing Information Bottleneck in Model Ensembles. AAAI 2021: 9666-9674 - [c18]Homanga Bharadhwaj:
Auditing Robot Learning for Safety and Compliance during Deployment. CoRL 2021: 1801-1806 - [c17]Homanga Bharadhwaj, Aviral Kumar, Nicholas Rhinehart, Sergey Levine, Florian Shkurti, Animesh Garg:
Conservative Safety Critics for Exploration. ICLR 2021 - [c16]Kevin Xie, Homanga Bharadhwaj, Danijar Hafner, Animesh Garg, Florian Shkurti:
Latent Skill Planning for Exploration and Transfer. ICLR 2021 - [c15]Homanga Bharadhwaj, Animesh Garg, Florian Shkurti:
LEAF: Latent Exploration Along the Frontier. ICRA 2021: 677-684 - [c14]Yizhou Huang, Kevin Xie, Homanga Bharadhwaj, Florian Shkurti:
Continual Model-Based Reinforcement Learning with Hypernetworks. ICRA 2021: 799-805 - [c13]Haoyu Xiong, Quanzhou Li, Yun-Chun Chen, Homanga Bharadhwaj, Samarth Sinha, Animesh Garg:
Learning by Watching: Physical Imitation of Manipulation Skills from Human Videos. IROS 2021: 7827-7834 - [i20]Haoyu Xiong, Quanzhou Li, Yun-Chun Chen, Homanga Bharadhwaj, Samarth Sinha, Animesh Garg:
Learning by Watching: Physical Imitation of Manipulation Skills from Human Videos. CoRR abs/2101.07241 (2021) - [i19]Homanga Bharadhwaj, De-An Huang, Chaowei Xiao, Anima Anandkumar, Animesh Garg:
Auditing AI models for Verified Deployment under Semantic Specifications. CoRR abs/2109.12456 (2021) - [i18]Homanga Bharadhwaj:
Auditing Robot Learning for Safety and Compliance during Deployment. CoRR abs/2110.05702 (2021) - 2020
- [c12]Timo Milbich, Karsten Roth, Homanga Bharadhwaj, Samarth Sinha, Yoshua Bengio, Björn Ommer, Joseph Paul Cohen:
DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning. ECCV (8) 2020: 590-607 - [c11]Homanga Bharadhwaj, Shoichiro Yamaguchi, Shin-ichi Maeda:
MANGA: Method Agnostic Neural-policy Generalization and Adaptation. ICRA 2020: 3356-3362 - [c10]Homanga Bharadhwaj, Kevin Xie, Florian Shkurti:
Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization. L4DC 2020: 277-286 - [c9]Varun Khare, Divyat Mahajan, Homanga Bharadhwaj, Vinay Kumar Verma, Piyush Rai:
A Generative Framework for Zero-Shot Learning with Adversarial Domain Adaptation. WACV 2020: 3090-3099 - [i17]Samarth Sinha, Homanga Bharadhwaj, Anirudh Goyal, Hugo Larochelle, Animesh Garg, Florian Shkurti:
DIBS: Diversity inducing Information Bottleneck in Model Ensembles. CoRR abs/2003.04514 (2020) - [i16]Homanga Bharadhwaj, Kevin Xie, Florian Shkurti:
Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization. CoRR abs/2004.08763 (2020) - [i15]Timo Milbich, Karsten Roth, Homanga Bharadhwaj, Samarth Sinha, Yoshua Bengio, Björn Ommer, Joseph Paul Cohen:
DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning. CoRR abs/2004.13458 (2020) - [i14]Homanga Bharadhwaj, Animesh Garg, Florian Shkurti:
Dynamics-Aware Latent Space Reachability for Exploration in Temporally-Extended Tasks. CoRR abs/2005.10934 (2020) - [i13]Yatin Dandi, Homanga Bharadhwaj, Abhishek Kumar, Piyush Rai:
Generalized Adversarially Learned Inference. CoRR abs/2006.08089 (2020) - [i12]Homanga Bharadhwaj, Dylan Turpin, Animesh Garg, Ashton Anderson:
De-anonymization of authors through arXiv submissions during double-blind review. CoRR abs/2007.00177 (2020) - [i11]Vikas Singh, Homanga Bharadhwaj, Nishchal K. Verma:
A Bayesian Approach with Type-2 Student-tMembership Function for T-S Model Identification. CoRR abs/2009.00822 (2020) - [i10]Yizhou Huang, Kevin Xie, Homanga Bharadhwaj, Florian Shkurti:
Continual Model-Based Reinforcement Learning with Hypernetworks. CoRR abs/2009.11997 (2020) - [i9]Samarth Sinha, Homanga Bharadhwaj, Aravind Srinivas, Animesh Garg:
D2RL: Deep Dense Architectures in Reinforcement Learning. CoRR abs/2010.09163 (2020) - [i8]Homanga Bharadhwaj, Aviral Kumar, Nicholas Rhinehart, Sergey Levine, Florian Shkurti, Animesh Garg:
Conservative Safety Critics for Exploration. CoRR abs/2010.14497 (2020) - [i7]Kevin Xie, Homanga Bharadhwaj, Danijar Hafner, Animesh Garg, Florian Shkurti:
Skill Transfer via Partially Amortized Hierarchical Planning. CoRR abs/2011.13897 (2020)
2010 – 2019
- 2019
- [c8]Homanga Bharadhwaj, Zihan Wang, Yoshua Bengio, Liam Paull:
A Data-Efficient Framework for Training and Sim-to-Real Transfer of Navigation Policies. ICRA 2019: 782-788 - [c7]Homanga Bharadhwaj:
Meta-Learning for User Cold-Start Recommendation. IJCNN 2019: 1-8 - [c6]Homanga Bharadhwaj, Avinash Kumar, Abheejeet Mohapatra:
A Synchro-phasor Assisted Optimal Features Based Scheme for Fault Detection and Classification. IJCNN 2019: 1-8 - [c5]Homin Park, Homanga Bharadhwaj, Brian Y. Lim:
Hierarchical Multi-Task Learning for Healthy Drink Classification. IJCNN 2019: 1-8 - [c4]Homanga Bharadhwaj:
Explainable recommender system that maximizes exploration. IUI Companion 2019: 1-2 - [c3]Homanga Bharadhwaj, Nisheeth Srivastava:
New Tab Page Recommendations Strongly Concentrate Web Browsing to Familiar Sources. WebSci 2019: 7-16 - [i6]Varun Khare, Divyat Mahajan, Homanga Bharadhwaj, Vinay Kumar Verma, Piyush Rai:
A Generative Framework for Zero-Shot Learning with Adversarial Domain Adaptation. CoRR abs/1906.03038 (2019) - [i5]Homanga Bharadhwaj, Shoichiro Yamaguchi, Shin-ichi Maeda:
MANGA: Method Agnostic Neural-policy Generalization and Adaptation. CoRR abs/1911.08444 (2019) - 2018
- [j1]Homanga Bharadhwaj, Shruti Joshi:
Explanations for Temporal Recommendations. Künstliche Intell. 32(4): 267-272 (2018) - [c2]Homanga Bharadhwaj:
Layer-Wise Relevance Propagation for Explainable Deep Learning Based Speech Recognition. ISSPIT 2018: 168-174 - [c1]Homanga Bharadhwaj, Homin Park, Brian Y. Lim:
RecGAN: recurrent generative adversarial networks for recommendation systems. RecSys 2018: 372-376 - [i4]Homanga Bharadhwaj:
Layer-wise Relevance Propagation for Explainable Recommendations. CoRR abs/1807.06160 (2018) - [i3]Homanga Bharadhwaj, Shruti Joshi:
Explanations for Temporal Recommendations. CoRR abs/1807.06161 (2018) - [i2]Homanga Bharadhwaj, Zihan Wang, Yoshua Bengio, Liam Paull:
A Data-Efficient Framework for Training and Sim-to-Real Transfer of Navigation Policies. CoRR abs/1810.04871 (2018) - [i1]Homanga Bharadhwaj, Nisheeth Srivastava:
New tab page recommendations cause a strong suppression of exploratory web browsing behaviors. CoRR abs/1812.06525 (2018)
Coauthor Index
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last updated on 2024-11-13 23:48 CET by the dblp team
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