Deepali Jain

60 papers A* 11A 3Misc 5Journal 30Unranked 11
YearRankTypeTitle / Venue / Authors
2025 A* conf
Achieving Human Level Competitive Robot Table Tennis.
ICRA
David B. D'Ambrosio, Saminda Abeyruwan, Laura Graesser, Atil Iscen, Heni Ben Amor, Alex Bewley, Barney J. Reed, Krista Reymann, Leila Takayama, Yuval Tassa, Krzysztof Choromanski, Erwin Coumans, Deepali Jain, Navdeep Jaitly, Natasha Jaques, Satoshi Kataoka, Yuheng Kuang, Nevena Lazic, Reza Mahjourian, Sherry Moore, Kenneth Oslund, Anish Shankar, Vikas Sindhwani, Vincent Vanhoucke, Grace Vesom, Peng Xu, Pannag R. Sanketi
2025 A* conf
Learning the RoPEs: Better 2D and 3D Position Encodings with STRING.
ICML
Connor Schenck, Isaac Reid, Mithun George Jacob, Alex Bewley, Joshua Ainslie, David Rendleman, Deepali Jain, Mohit Sharma, Kumar Avinava Dubey, Ayzaan Wahid, Sumeet Singh, René Wagner, Tianli Ding, Chuyuan Fu, Arunkumar Byravan, Jake Varley, Alexey A. Gritsenko, Matthias Minderer, Dmitry Kalashnikov, Jonathan Tompson, Vikas Sindhwani, Krzysztof Marcin Choromanski
2025 J jnl
Learning the RoPEs: Better 2D and 3D Position Encodings with STRING.
CoRR
Connor Schenck, Isaac Reid, Mithun George Jacob, Alex Bewley, Joshua Ainslie, David Rendleman, Deepali Jain, Mohit Sharma, Avinava Dubey, Ayzaan Wahid, Sumeet Singh, René Wagner, Tianli Ding, Chuyuan Fu, Arunkumar Byravan, Jake Varley, Alexey A. Gritsenko, Matthias Minderer, Dmitry Kalashnikov, Jonathan Tompson, Vikas Sindhwani, Krzysztof Choromanski
2025 A* conf
Linear Transformer Topological Masking with Graph Random Features.
ICLR
Isaac Reid, Kumar Avinava Dubey, Deepali Jain, William F. Whitney, Amr Ahmed, Joshua Ainslie, Alex Bewley, Mithun George Jacob, Aranyak Mehta, David Rendleman, Connor Schenck, Richard E. Turner, René Wagner, Adrian Weller, Krzysztof Marcin Choromanski
2025 J jnl
Predicting Soil Macronutrient Levels: A Machine Learning Approach Models Trained on pH, Conductivity, and Average Power of Acid-Base Solutions.
CoRR
Mridul Kumar, Deepali Jain, Zeeshan Saifi, Soami Daya Krishnananda
2024 J jnl
A sentence is known by the company it keeps: Improving Legal Document Summarization Using Deep Clustering.
Artif. Intell. Law
Deepali Jain, Malaya Dutta Borah, Anupam Biswas
2024 J jnl
Achieving Human Level Competitive Robot Table Tennis.
CoRR
David B. D'Ambrosio, Saminda Abeyruwan, Laura Graesser, Atil Iscen, Heni Ben Amor, Alex Bewley, Barney J. Reed, Krista Reymann, Leila Takayama, Yuval Tassa, Krzysztof Choromanski, Erwin Coumans, Deepali Jain, Navdeep Jaitly, Natasha Jaques, Satoshi Kataoka, Yuheng Kuang, Nevena Lazic, Reza Mahjourian, Sherry Moore, Kenneth Oslund, Anish Shankar, Vikas Sindhwani, Vincent Vanhoucke, Grace Vesom, Peng Xu, Pannag R. Sanketi
2024 A conf
Embodied AI with Two Arms: Zero-shot Learning, Safety and Modularity.
IROS
Jake Varley, Sumeet Singh, Deepali Jain, Krzysztof Choromanski, Andy Zeng, Somnath Basu Roy Chowdhury, Avinava Dubey, Vikas Sindhwani
2024 J jnl
Embodied AI with Two Arms: Zero-shot Learning, Safety and Modularity.
CoRR
Jake Varley, Sumeet Singh, Deepali Jain, Krzysztof Choromanski, Andy Zeng, Somnath Basu Roy Chowdhury, Avinava Dubey, Vikas Sindhwani
2024 J jnl
Linear Transformer Topological Masking with Graph Random Features.
CoRR
Isaac Reid, Kumar Avinava Dubey, Deepali Jain, Will Whitney, Amr Ahmed, Joshua Ainslie, Alex Bewley, Mithun George Jacob, Aranyak Mehta, David Rendleman, Connor Schenck, Richard E. Turner, René Wagner, Adrian Weller, Krzysztof Choromanski
2024 Misc conf
Modeling the Real World with High-Density Visual Particle Dynamics.
CoRL
William F. Whitney, Jake Varley, Deepali Jain, Krzysztof Marcin Choromanski, Sumeet Singh, Vikas Sindhwani
2024 J jnl
Modeling the Real World with High-Density Visual Particle Dynamics.
CoRR
William F. Whitney, Jacob Varley, Deepali Jain, Krzysztof Choromanski, Sumeet Singh, Vikas Sindhwani
2024 A* conf
SARA-RT: Scaling up Robotics Transformers with Self-Adaptive Robust Attention.
ICRA
Isabel Leal, Krzysztof Choromanski, Deepali Jain, Avinava Dubey, Jake Varley, Michael S. Ryoo, Yao Lu, Frederick Liu, Vikas Sindhwani, Quan Vuong, Tamás Sarlós, Ken Oslund, Karol Hausman, Kanishka Rao
2024 J jnl
Structured Unrestricted-Rank Matrices for Parameter Efficient Fine-tuning.
CoRR
Arijit Sehanobish, Avinava Dubey, Krzysztof Choromanski, Somnath Basu Roy Chowdhury, Deepali Jain, Vikas Sindhwani, Snigdha Chaturvedi
2024 A* conf
Structured Unrestricted-Rank Matrices for Parameter Efficient Finetuning.
NeurIPS
Arijit Sehanobish, Kumar Avinava Dubey, Krzysztof Marcin Choromanski, Somnath Basu Roy Chowdhury, Deepali Jain, Vikas Sindhwani, Snigdha Chaturvedi
2024 J jnl
Summarization of Lengthy Legal Documents via Abstractive Dataset Building: An Extract-then-Assign Approach.
Expert Syst. Appl.
Deepali Jain, Malaya Dutta Borah, Anupam Biswas
2024 A conf
The Design of the Barkour Benchmark for Robot Agility.
IROS
Wenhao Yu, Ken Caluwaerts, Atil Iscen, J. Chase Kew, Tingnan Zhang, Daniel Freeman, Lisa Lee, Stefano Saliceti, Vincent Zhuang, Nathan Batchelor, Steven Bohez, Federico Casarini, José Enrique Chen, Erwin Coumans, Adil Dostmohamed, Gabriel Dulac-Arnold, Alejandro Escontrela, Erik Frey, Roland Hafner, Deepali Jain, Bauyrjan Jyenis, Yuheng Kuang, Tsang-Wei Edward Lee, Ofir Nachum, Ken Oslund, Francesco Romano, Fereshteh Sadeghi, Baruch Tabanpour, Daniel Zheng, Michael Neunert, Raia Hadsell, Nicolas Heess, Francesco Nori, Jeff Seto, Carolina Parada, Vikas Sindhwani, Vincent Vanhoucke, Jie Tan, Kuang-Huei Lee
2023 — conf
Agile Catching with Whole-Body MPC and Blackbox Policy Learning.
L4DC
Saminda Abeyruwan, Alex Bewley, Nicholas Matthew Boffi, Krzysztof Marcin Choromanski, David B. D'Ambrosio, Deepali Jain, Pannag R. Sanketi, Anish Shankar, Vikas Sindhwani, Sumeet Singh, Jean-Jacques E. Slotine, Stephen Tu
2023 J jnl
Agile Catching with Whole-Body MPC and Blackbox Policy Learning.
CoRR
Saminda Abeyruwan, Alex Bewley, Nicholas M. Boffi, Krzysztof Choromanski, David B. D'Ambrosio, Deepali Jain, Pannag Sanketi, Anish Shankar, Vikas Sindhwani, Sumeet Singh, Jean-Jacques E. Slotine, Stephen Tu
2023 J jnl
Barkour: Benchmarking Animal-level Agility with Quadruped Robots.
CoRR
Ken Caluwaerts, Atil Iscen, J. Chase Kew, Wenhao Yu, Tingnan Zhang, Daniel Freeman, Kuang-Huei Lee, Lisa Lee, Stefano Saliceti, Vincent Zhuang, Nathan Batchelor, Steven Bohez, Federico Casarini, José Enrique Chen, Omar Cortes, Erwin Coumans, Adil Dostmohamed, Gabriel Dulac-Arnold, Alejandro Escontrela, Erik Frey, Roland Hafner, Deepali Jain, Bauyrjan Jyenis, Yuheng Kuang, Tsang-Wei Edward Lee, Linda Luu, Ofir Nachum, Ken Oslund, Jason Powell, Diego Reyes, Francesco Romano, Fereshteh Sadeghi, Ron Sloat, Baruch Tabanpour, Daniel Zheng, Michael Neunert, Raia Hadsell, Nicolas Heess, Francesco Nori, Jeff Seto, Carolina Parada, Vikas Sindhwani, Vincent Vanhoucke, Jie Tan
2023 J jnl
Bayesian Optimization based Score Fusion of Linguistic Approaches for Improving Legal Document Summarization.
Knowl. Based Syst.
Deepali Jain, Malaya Dutta Borah, Anupam Biswas
2023 A* conf
Efficient Graph Field Integrators Meet Point Clouds.
ICML
Krzysztof Marcin Choromanski, Arijit Sehanobish, Han Lin, Yunfan Zhao, Eli Berger, Tetiana Parshakova, Alvin Pan, David Watkins, Tianyi Zhang, Valerii Likhosherstov, Somnath Basu Roy Chowdhury, Kumar Avinava Dubey, Deepali Jain, Tamás Sarlós, Snigdha Chaturvedi, Adrian Weller
2023 J jnl
Efficient Graph Field Integrators Meet Point Clouds.
CoRR
Krzysztof Choromanski, Arijit Sehanobish, Han Lin, Yunfan Zhao, Eli Berger, Tetiana Parshakova, Alvin Pan, David Watkins, Tianyi Zhang, Valerii Likhosherstov, Somnath Basu Roy Chowdhury, Avinava Dubey, Deepali Jain, Tamás Sarlós, Snigdha Chaturvedi, Adrian Weller
2023 A* conf
Mnemosyne: Learning to Train Transformers with Transformers.
NeurIPS
Deepali Jain, Krzysztof Marcin Choromanski, Kumar Avinava Dubey, Sumeet Singh, Vikas Sindhwani, Tingnan Zhang, Jie Tan
2023 J jnl
Mnemosyne: Learning to Train Transformers with Transformers.
CoRR
Deepali Jain, Krzysztof Marcin Choromanski, Sumeet Singh, Vikas Sindhwani, Tingnan Zhang, Jie Tan, Avinava Dubey
2023 — conf
NITS_Legal at SemEval-2023 Task 6: Rhetorical Roles Prediction of Indian Legal Documents via Sentence Sequence Labeling Approach.
SemEval@ACL
Deepali Jain, Malaya Dutta Borah, Anupam Biswas
2023 — conf
Robotic Table Tennis: A Case Study into a High Speed Learning System.
Robotics: Science and Systems
David B. D'Ambrosio, Navdeep Jaitly, Vikas Sindhwani, Ken Oslund, Peng Xu, Nevena Lazic, Anish Shankar, Tianli Ding, Jonathan Abelian, Erwin Coumans, Gus Kouretas, Thinh Nguyen, Justin Boyd, Atil Iscen, Reza Mahjourian, Vincent Vanhoucke, Alex Bewley, Yuheng Kuang, Michael Ahn, Deepali Jain, Satoshi Kataoka, Omar E. Cortes, Pierre Sermanet, Corey Lynch, Pannag R. Sanketi, Krzysztof Choromanski, Wenbo Gao, Juhana Kangaspunta, Krista Reymann, Grace Vesom, Sherry Q. Moore, Avi Singh, Saminda Wishwajith Abeyruwan, Laura Graesser
2023 J jnl
Robotic Table Tennis: A Case Study into a High Speed Learning System.
CoRR
David B. D'Ambrosio, Jonathan Abelian, Saminda Abeyruwan, Michael Ahn, Alex Bewley, Justin Boyd, Krzysztof Choromanski, Omar Cortes, Erwin Coumans, Tianli Ding, Wenbo Gao, Laura Graesser, Atil Iscen, Navdeep Jaitly, Deepali Jain, Juhana Kangaspunta, Satoshi Kataoka, Gus Kouretas, Yuheng Kuang, Nevena Lazic, Corey Lynch, Reza Mahjourian, Sherry Q. Moore, Thinh Nguyen, Ken Oslund, Barney J. Reed, Krista Reymann, Pannag R. Sanketi, Anish Shankar, Pierre Sermanet, Vikas Sindhwani, Avi Singh, Vincent Vanhoucke, Grace Vesom, Peng Xu
2023 J jnl
SARA-RT: Scaling up Robotics Transformers with Self-Adaptive Robust Attention.
CoRR
Isabel Leal, Krzysztof Choromanski, Deepali Jain, Avinava Dubey, Jake Varley, Michael S. Ryoo, Yao Lu, Frederick Liu, Vikas Sindhwani, Quan Vuong, Tamás Sarlós, Ken Oslund, Karol Hausman, Kanishka Rao
2022 A* conf
Hybrid Random Features.
ICLR
Krzysztof Marcin Choromanski, Han Lin, Haoxian Chen, Arijit Sehanobish, Yuanzhe Ma, Deepali Jain, Jake Varley, Andy Zeng, Michael S. Ryoo, Valerii Likhosherstov, Dmitry Kalashnikov, Vikas Sindhwani, Adrian Weller
2022 J jnl
Implicit Two-Tower Policies.
CoRR
Yunfan Zhao, Qingkai Pan, Krzysztof Choromanski, Deepali Jain, Vikas Sindhwani
2022 Misc conf
i-Sim2Real: Reinforcement Learning of Robotic Policies in Tight Human-Robot Interaction Loops.
CoRL
Saminda Wishwajith Abeyruwan, Laura Graesser, David B. D'Ambrosio, Avi Singh, Anish Shankar, Alex Bewley, Deepali Jain, Krzysztof Marcin Choromanski, Pannag R. Sanketi
2022 J jnl
i-Sim2Real: Reinforcement Learning of Robotic Policies in Tight Human-Robot Interaction Loops.
CoRR
Saminda Abeyruwan, Laura Graesser, David B. D'Ambrosio, Avi Singh, Anish Shankar, Alex Bewley, Deepali Jain, Krzysztof Choromanski, Pannag R. Sanketi
2021 — conf
CAWESumm: A Contextual and Anonymous Walk Embedding Based Extractive Summarization of Legal Bills.
ICON
Deepali Jain, Malaya Dutta Borah, Anupam Biswas
2021 J jnl
ES-ENAS: Combining Evolution Strategies with Neural Architecture Search at No Extra Cost for Reinforcement Learning.
CoRR
Xingyou Song, Krzysztof Choromanski, Jack Parker-Holder, Yunhao Tang, Daiyi Peng, Deepali Jain, Wenbo Gao, Aldo Pacchiano, Tamás Sarlós, Yuxiang Yang
2021 J jnl
Hybrid Random Features.
CoRR
Krzysztof Choromanski, Haoxian Chen, Han Lin, Yuanzhe Ma, Arijit Sehanobish, Deepali Jain, Michael S. Ryoo, Jake Varley, Andy Zeng, Valerii Likhosherstov, Dmitry Kalashnikov, Vikas Sindhwani, Adrian Weller
2021 A* conf
Learning Agile Locomotion Skills with a Mentor.
ICRA
Atil Iscen, George Yu, Alejandro Escontrela, Deepali Jain, Jie Tan, Ken Caluwaerts
2021 A* conf
Reward Machines for Vision-Based Robotic Manipulation.
ICRA
Alberto Camacho, Jacob Varley, Andy Zeng, Deepali Jain, Atil Iscen, Dmitry Kalashnikov
2021 — conf
Summarization of Indian Legal Judgement Documents via Ensembling of Contextual Embedding based MLP Models.
FIRE (Working Notes)
Deepali Jain, Malaya Dutta Borah, Anupam Biswas
2021 J jnl
Summarization of legal documents: Where are we now and the way forward.
Comput. Sci. Rev.
Deepali Jain, Malaya Dutta Borah, Anupam Biswas
2021 J jnl
Unlocking Pixels for Reinforcement Learning via Implicit Attention.
CoRR
Krzysztof Choromanski, Deepali Jain, Jack Parker-Holder, Xingyou Song, Valerii Likhosherstov, Anirban Santara, Aldo Pacchiano, Yunhao Tang, Adrian Weller
2021 Misc conf
Visual-Locomotion: Learning to Walk on Complex Terrains with Vision.
CoRL
Wenhao Yu, Deepali Jain, Alejandro Escontrela, Atil Iscen, Peng Xu, Erwin Coumans, Sehoon Ha, Jie Tan, Tingnan Zhang
2020 J jnl
Disentangled Planning and Control in Vision Based Robotics via Reward Machines.
CoRR
Alberto Camacho, Jacob Varley, Deepali Jain, Atil Iscen, Dmitry Kalashnikov
2020 — conf
Fine-Tuning Textrank for Legal Document Summarization: A Bayesian Optimization Based Approach.
FIRE
Deepali Jain, Malaya Dutta Borah, Anupam Biswas
2020 J jnl
From Pixels to Legs: Hierarchical Learning of Quadruped Locomotion.
CoRR
Deepali Jain, Atil Iscen, Ken Caluwaerts
2020 Misc conf
From pixels to legs: Hierarchical learning of quadruped locomotion.
CoRL
Deepali Jain, Ken Caluwaerts, Atil Iscen
2020 J jnl
Learning Agile Locomotion Skills with a Mentor.
CoRR
Atil Iscen, George Yu, Alejandro Escontrela, Deepali Jain, Jie Tan, Ken Caluwaerts
2020 J jnl
Surveys without Questions: A Reinforcement Learning Approach.
CoRR
Atanu R. Sinha, Deepali Jain, Nikhil Sheoran, Sopan Khosla, Reshmi Sasidharan
2019 A conf
Hierarchical Reinforcement Learning for Quadruped Locomotion.
IROS
Deepali Jain, Atil Iscen, Ken Caluwaerts
2019 J jnl
Hierarchical Reinforcement Learning for Quadruped Locomotion.
CoRR
Deepali Jain, Atil Iscen, Ken Caluwaerts
2019 — conf
In-Memory Big Graph: A Future Research Agenda.
BIS (1)
Deepali Jain, Ripon Patgiri, Sabuzima Nayak
2019 — conf
Network Motifs: A Survey.
ICACDS (2)
Deepali Jain, Ripon Patgiri
2019 Misc conf
Provably Robust Blackbox Optimization for Reinforcement Learning.
CoRL
Krzysztof Choromanski, Aldo Pacchiano, Jack Parker-Holder, Yunhao Tang, Deepali Jain, Yuxiang Yang, Atil Iscen, Jasmine Hsu, Vikas Sindhwani
2019 J jnl
Reinforcement Learning with Chromatic Networks.
CoRR
Xingyou Song, Krzysztof Choromanski, Jack Parker-Holder, Yunhao Tang, Wenbo Gao, Aldo Pacchiano, Tamás Sarlós, Deepali Jain, Yuxiang Yang
2019 A* conf
Surveys without Questions: A Reinforcement Learning Approach.
AAAI
Atanu R. Sinha, Deepali Jain, Nikhil Sheoran, Sopan Khosla, Reshmi Sasidharan
2019 J jnl
When random search is not enough: Sample-Efficient and Noise-Robust Blackbox Optimization of RL Policies.
CoRR
Krzysztof Choromanski, Aldo Pacchiano, Jack Parker-Holder, Jasmine Hsu, Atil Iscen, Deepali Jain, Vikas Sindhwani
2018 — conf
Measurement of Users' Experience on Online Platforms from Their Behavior Logs.
PAKDD (1)
Deepali Jain, Atanu R. Sinha, Deepali Gupta, Nikhil Sheoran, Sopan Khosla
2017 J jnl
An LSTM Based System for Prediction of Human Activities with Durations.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Kundan Krishna, Deepali Jain, Sanket V. Mehta, Sunav Choudhary
2017 — conf
Fairness Aware Recommendations on Behance.
PAKDD (2)
Natwar Modani, Deepali Jain, Ujjawal Soni, Gaurav Kumar Gupta, Palak Agarwal
2009 — conf
Employing Experience for Updating Trust in Trust Based Recommender Systems.
IICAI
Harmeet Kaur, Deepali Jain