| 2024 | ECCV | Track2Act: Predicting Point Tracks from Internet Videos Enables Generalizable Robot Manipulation. | Homanga Bharadhwaj, Roozbeh Mottaghi, Abhinav Gupta, Shubham Tulsiani |
| 2024 | ICML | Position: Scaling Simulation is Neither Necessary Nor Sufficient for In-the-Wild Robot Manipulation. | Homanga Bharadhwaj |
| 2024 | ICRA | Towards Generalizable Zero-Shot Manipulation via Translating Human Interaction Plans. | Homanga Bharadhwaj, Abhinav Gupta, Vikash Kumar, Shubham Tulsiani |
| 2024 | ICRA | 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 |
| 2023 | ICLR | Simplifying Model-based RL: Learning Representations, Latent-space Models, and Policies with One Objective. | Raj Ghugare, Homanga Bharadhwaj, Benjamin Eysenbach, Sergey Levine, Russ Salakhutdinov |
| 2023 | ICRA | Visual Affordance Prediction for Guiding Robot Exploration. | Homanga Bharadhwaj, Abhinav Gupta, Shubham Tulsiani |
| 2022 | ICLR | Information Prioritization through Empowerment in Visual Model-based RL. | Homanga Bharadhwaj, Mohammad Babaeizadeh, Dumitru Erhan, Sergey Levine |
| 2021 | AAAI | Generalized Adversarially Learned Inference. | Yatin Dandi, Homanga Bharadhwaj, Abhishek Kumar, Piyush Rai |
| 2021 | AAAI | DIBS: Diversity Inducing Information Bottleneck in Model Ensembles. | Samarth Sinha, Homanga Bharadhwaj, Anirudh Goyal, Hugo Larochelle, Animesh Garg, Florian Shkurti |
| 2021 | CoRL | Auditing Robot Learning for Safety and Compliance during Deployment. | Homanga Bharadhwaj |
| 2021 | ICLR | Conservative Safety Critics for Exploration. | Homanga Bharadhwaj, Aviral Kumar, Nicholas Rhinehart, Sergey Levine, Florian Shkurti, Animesh Garg |
| 2021 | ICLR | Latent Skill Planning for Exploration and Transfer. | Kevin Xie, Homanga Bharadhwaj, Danijar Hafner, Animesh Garg, Florian Shkurti |
| 2021 | ICRA | LEAF: Latent Exploration Along the Frontier. | Homanga Bharadhwaj, Animesh Garg, Florian Shkurti |
| 2021 | ICRA | Continual Model-Based Reinforcement Learning with Hypernetworks. | Yizhou Huang, Kevin Xie, Homanga Bharadhwaj, Florian Shkurti |
| 2021 | IROS | Learning by Watching: Physical Imitation of Manipulation Skills from Human Videos. | Haoyu Xiong, Quanzhou Li, Yun-Chun Chen, Homanga Bharadhwaj, Samarth Sinha, Animesh Garg |
| 2020 | ECCV | DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning. | Timo Milbich, Karsten Roth, Homanga Bharadhwaj, Samarth Sinha, Yoshua Bengio, Bjrn Ommer, Joseph Paul Cohen |
| 2020 | ICRA | MANGA: Method Agnostic Neural-policy Generalization and Adaptation. | Homanga Bharadhwaj, Shoichiro Yamaguchi, Shin-ichi Maeda |
| 2020 | WACV | A Generative Framework for Zero-Shot Learning with Adversarial Domain Adaptation. | Varun Khare, Divyat Mahajan, Homanga Bharadhwaj, Vinay Kumar Verma, Piyush Rai |
| 2019 | IJCNN | Meta-Learning for User Cold-Start Recommendation. | Homanga Bharadhwaj |
| 2019 | IJCNN | A Synchro-phasor Assisted Optimal Features Based Scheme for Fault Detection and Classification. | Homanga Bharadhwaj, Avinash Kumar, Abheejeet Mohapatra |
| 2019 | ICRA | A Data-Efficient Framework for Training and Sim-to-Real Transfer of Navigation Policies. | Homanga Bharadhwaj, Zihan Wang, Yoshua Bengio, Liam Paull |
| 2019 | IJCNN | Hierarchical Multi-Task Learning for Healthy Drink Classification. | Homin Park, Homanga Bharadhwaj, Brian Y. Lim |
| 2019 | IUI | Explainable recommender system that maximizes exploration. | Homanga Bharadhwaj |
| 2018 | RecSys | RecGAN: recurrent generative adversarial networks for recommendation systems. | Homanga Bharadhwaj, Homin Park, Brian Y. Lim |