Homanga Bharadhwaj

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 55

Top Topics

Information Bottleneck

Reinforcement Learning

Domain Adaptation

Top Venues

Publications

Homanga Bharadhwaj, Roozbeh Mottaghi, Abhinav Gupta, Shubham Tulsiani
Track2Act: Predicting Point Tracks from Internet Videos enables Diverse Zero-shot Robot Manipulation. CoRR (2024)
Homanga Bharadhwaj, Abhinav Gupta, Vikash Kumar, Shubham Tulsiani
Towards Generalizable Zero-Shot Manipulation via Translating Human Interaction Plans. ICRA (2024)
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)
Homanga Bharadhwaj, Abhinav Gupta, Shubham Tulsiani, Vikash Kumar
Zero-Shot Robot Manipulation from Passive Human Videos. CoRR (2023)
Homanga Bharadhwaj, Abhinav Gupta, Vikash Kumar, Shubham Tulsiani
Towards Generalizable Zero-Shot Manipulation via Translating Human Interaction Plans. CoRR (2023)
Homanga Bharadhwaj, Abhinav Gupta, Shubham Tulsiani
Visual Affordance Prediction for Guiding Robot Exploration. ICRA (2023)
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)
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 (2023)
Homanga Bharadhwaj, Abhinav Gupta, Shubham Tulsiani
Visual Affordance Prediction for Guiding Robot Exploration. CoRR (2023)
Homanga Bharadhwaj, Mohammad Babaeizadeh, Dumitru Erhan, Sergey Levine
INFOrmation Prioritization through EmPOWERment in Visual Model-Based RL. CoRR (2022)
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 (2022)
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 (2022)
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 (2022)
Homanga Bharadhwaj, Mohammad Babaeizadeh, Dumitru Erhan, Sergey Levine
Information Prioritization through Empowerment in Visual Model-based RL. ICLR (2022)
Yatin Dandi, Homanga Bharadhwaj, Abhishek Kumar, Piyush Rai
Generalized Adversarially Learned Inference. AAAI (2021)
Homanga Bharadhwaj, De-An Huang, Chaowei Xiao, Anima Anandkumar, Animesh Garg
Auditing AI models for Verified Deployment under Semantic Specifications. CoRR (2021)
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)
Homanga Bharadhwaj
Auditing Robot Learning for Safety and Compliance during Deployment. CoRL (2021)
Homanga Bharadhwaj, Animesh Garg, Florian Shkurti
LEAF: Latent Exploration Along the Frontier. ICRA (2021)
Homanga Bharadhwaj
Auditing Robot Learning for Safety and Compliance during Deployment. CoRR (2021)
Kevin Xie, Homanga Bharadhwaj, Danijar Hafner, Animesh Garg, Florian Shkurti
Latent Skill Planning for Exploration and Transfer. ICLR (2021)
Samarth Sinha, Homanga Bharadhwaj, Anirudh Goyal, Hugo Larochelle, Animesh Garg, Florian Shkurti
DIBS: Diversity Inducing Information Bottleneck in Model Ensembles. AAAI (2021)
Homanga Bharadhwaj, Aviral Kumar, Nicholas Rhinehart, Sergey Levine, Florian Shkurti, Animesh Garg
Conservative Safety Critics for Exploration. ICLR (2021)
Yizhou Huang, Kevin Xie, Homanga Bharadhwaj, Florian Shkurti
Continual Model-Based Reinforcement Learning with Hypernetworks. ICRA (2021)
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 (2021)
Kevin Xie, Homanga Bharadhwaj, Danijar Hafner, Animesh Garg, Florian Shkurti
Skill Transfer via Partially Amortized Hierarchical Planning. CoRR (2020)
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)
Samarth Sinha, Homanga Bharadhwaj, Anirudh Goyal, Hugo Larochelle, Animesh Garg, Florian Shkurti
DIBS: Diversity inducing Information Bottleneck in Model Ensembles. CoRR (2020)
Yatin Dandi, Homanga Bharadhwaj, Abhishek Kumar, Piyush Rai
Generalized Adversarially Learned Inference. CoRR (2020)
Homanga Bharadhwaj, Animesh Garg, Florian Shkurti
Dynamics-Aware Latent Space Reachability for Exploration in Temporally-Extended Tasks. CoRR (2020)
Homanga Bharadhwaj, Dylan Turpin, Animesh Garg, Ashton Anderson
De-anonymization of authors through arXiv submissions during double-blind review. CoRR (2020)
Homanga Bharadhwaj, Aviral Kumar, Nicholas Rhinehart, Sergey Levine, Florian Shkurti, Animesh Garg
Conservative Safety Critics for Exploration. CoRR (2020)
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 (2020)
Homanga Bharadhwaj, Kevin Xie, Florian Shkurti
Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization. L4DC (2020)
Samarth Sinha, Homanga Bharadhwaj, Aravind Srinivas, Animesh Garg
D2RL: Deep Dense Architectures in Reinforcement Learning. CoRR (2020)
Yizhou Huang, Kevin Xie, Homanga Bharadhwaj, Florian Shkurti
Continual Model-Based Reinforcement Learning with Hypernetworks. CoRR (2020)
Vikas Singh, Homanga Bharadhwaj, Nishchal K. Verma
A Bayesian Approach with Type-2 Student-tMembership Function for T-S Model Identification. CoRR (2020)
Varun Khare, Divyat Mahajan, Homanga Bharadhwaj, Vinay Kumar Verma, Piyush Rai
A Generative Framework for Zero-Shot Learning with Adversarial Domain Adaptation. WACV (2020)
Homanga Bharadhwaj, Shoichiro Yamaguchi, Shin-ichi Maeda
MANGA: Method Agnostic Neural-policy Generalization and Adaptation. ICRA (2020)
Homanga Bharadhwaj, Kevin Xie, Florian Shkurti
Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization. CoRR (2020)
Varun Khare, Divyat Mahajan, Homanga Bharadhwaj, Vinay Kumar Verma, Piyush Rai
A Generative Framework for Zero-Shot Learning with Adversarial Domain Adaptation. CoRR (2019)
Homanga Bharadhwaj
Meta-Learning for User Cold-Start Recommendation. IJCNN (2019)
Homin Park, Homanga Bharadhwaj, Brian Y. Lim
Hierarchical Multi-Task Learning for Healthy Drink Classification. IJCNN (2019)
Homanga Bharadhwaj
Explainable recommender system that maximizes exploration. IUI Companion (2019)
Homanga Bharadhwaj, Nisheeth Srivastava
New Tab Page Recommendations Strongly Concentrate Web Browsing to Familiar Sources. WebSci (2019)
Homanga Bharadhwaj, Zihan Wang, Yoshua Bengio, Liam Paull
A Data-Efficient Framework for Training and Sim-to-Real Transfer of Navigation Policies. ICRA (2019)
Homanga Bharadhwaj, Shoichiro Yamaguchi, Shin-ichi Maeda
MANGA: Method Agnostic Neural-policy Generalization and Adaptation. CoRR (2019)
Homanga Bharadhwaj, Avinash Kumar, Abheejeet Mohapatra
A Synchro-phasor Assisted Optimal Features Based Scheme for Fault Detection and Classification. IJCNN (2019)
Homanga Bharadhwaj, Nisheeth Srivastava
New tab page recommendations cause a strong suppression of exploratory web browsing behaviors. CoRR (2018)
Homanga Bharadhwaj, Homin Park, Brian Y. Lim
RecGAN: recurrent generative adversarial networks for recommendation systems. RecSys (2018)
Homanga Bharadhwaj
Layer-Wise Relevance Propagation for Explainable Deep Learning Based Speech Recognition. ISSPIT (2018)
Homanga Bharadhwaj, Shruti Joshi
Explanations for Temporal Recommendations. Künstliche Intell. 32 (4) (2018)
Homanga Bharadhwaj, Shruti Joshi
Explanations for Temporal Recommendations. CoRR (2018)
Homanga Bharadhwaj
Layer-wise Relevance Propagation for Explainable Recommendations. CoRR (2018)
Homanga Bharadhwaj, Zihan Wang, Yoshua Bengio, Liam Paull
A Data-Efficient Framework for Training and Sim-to-Real Transfer of Navigation Policies. CoRR (2018)