Employing Experience for Updating Trust in Trust Based Recommender Systems. - Harmeet Kaur; Deepali Jain (IICAI, 2009)

Fairness Aware Recommendations on Behance. - Natwar Modani; Deepali Jain; Ujjawal Soni; Gaurav Kumar Gupta; Palak Agarwal (PAKDD (2), 2017)

An LSTM Based System for Prediction of Human Activities with Durations. - Kundan Krishna; Deepali Jain; Sanket V. Mehta; Sunav Choudhary (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017)

Measurement of Users' Experience on Online Platforms from Their Behavior Logs. - Deepali Jain; Atanu R. Sinha; Deepali Gupta; Nikhil Sheoran; Sopan Khosla (PAKDD (1), 2018)

Surveys without Questions: A Reinforcement Learning Approach. - Atanu R. Sinha; Deepali Jain; Nikhil Sheoran; Sopan Khosla; Reshmi Sasidharan (AAAI, 2019)

In-Memory Big Graph: A Future Research Agenda. - Deepali Jain; Ripon Patgiri; Sabuzima Nayak (BIS (1), 2019)

Provably Robust Blackbox Optimization for Reinforcement Learning. - Krzysztof Choromanski; Aldo Pacchiano; Jack Parker-Holder; Yunhao Tang; Deepali Jain; Yuxiang Yang 007; Atil Iscen; Jasmine Hsu; Vikas Sindhwani (CoRL, 2019)

Network Motifs: A Survey. - Deepali Jain; Ripon Patgiri (ICACDS (2), 2019)

Hierarchical Reinforcement Learning for Quadruped Locomotion. - Deepali Jain; Atil Iscen; Ken Caluwaerts (IROS, 2019)

When random search is not enough: Sample-Efficient and Noise-Robust Blackbox Optimization of RL Policies. - Krzysztof Choromanski; Aldo Pacchiano; Jack Parker-Holder; Jasmine Hsu; Atil Iscen; Deepali Jain; Vikas Sindhwani (CoRR, 2019)

Reinforcement Learning with Chromatic Networks. - Xingyou Song; Krzysztof Choromanski; Jack Parker-Holder; Yunhao Tang; Wenbo Gao; Aldo Pacchiano; Tamás Sarlós; Deepali Jain; Yuxiang Yang 007 (CoRR, 2019)

From pixels to legs: Hierarchical learning of quadruped locomotion. - Deepali Jain; Ken Caluwaerts; Atil Iscen (CoRL, 2020)

Fine-Tuning Textrank for Legal Document Summarization: A Bayesian Optimization Based Approach. - Deepali Jain; Malaya Dutta Borah; Anupam Biswas (FIRE, 2020)

Disentangled Planning and Control in Vision Based Robotics via Reward Machines. - Alberto Camacho; Jacob Varley; Deepali Jain; Atil Iscen; Dmitry Kalashnikov (CoRR, 2020)

Visual-Locomotion: Learning to Walk on Complex Terrains with Vision. - Wenhao Yu 003; Deepali Jain; Alejandro Escontrela; Atil Iscen; Peng Xu 010; Erwin Coumans; Sehoon Ha; Jie Tan 001; Tingnan Zhang (CoRL, 2021)

Summarization of Indian Legal Judgement Documents via Ensembling of Contextual Embedding based MLP Models. - Deepali Jain; Malaya Dutta Borah; Anupam Biswas (FIRE (Working Notes), 2021)

CAWESumm: A Contextual and Anonymous Walk Embedding Based Extractive Summarization of Legal Bills. - Deepali Jain; Malaya Dutta Borah; Anupam Biswas (ICON, 2021)

Reward Machines for Vision-Based Robotic Manipulation. - Alberto Camacho; Jacob Varley; Andy Zeng 001; Deepali Jain; Atil Iscen; Dmitry Kalashnikov (ICRA, 2021)

Learning Agile Locomotion Skills with a Mentor. - Atil Iscen; George Yu; Alejandro Escontrela; Deepali Jain; Jie Tan 001; Ken Caluwaerts (ICRA, 2021)

ES-ENAS: Combining Evolution Strategies with Neural Architecture Search at No Extra Cost for Reinforcement Learning. - Xingyou Song; Krzysztof Choromanski; Jack Parker-Holder; Yunhao Tang; Daiyi Peng; Deepali Jain; Wenbo Gao; Aldo Pacchiano; Tamás Sarlós; Yuxiang Yang 007 (CoRR, 2021)

Unlocking Pixels for Reinforcement Learning via Implicit Attention. - Krzysztof Choromanski; Deepali Jain; Jack Parker-Holder; Xingyou Song; Valerii Likhosherstov; Anirban Santara; Aldo Pacchiano; Yunhao Tang; Adrian Weller (CoRR, 2021)

Summarization of legal documents: Where are we now and the way forward. - Deepali Jain; Malaya Dutta Borah; Anupam Biswas (Comput. Sci. Rev., 2021)

i-Sim2Real: Reinforcement Learning of Robotic Policies in Tight Human-Robot Interaction Loops. - Saminda Wishwajith Abeyruwan; Laura Graesser; David B. D'Ambrosio; Avi Singh; Anish Shankar; Alex Bewley; Deepali Jain; Krzysztof Marcin Choromanski; Pannag R. Sanketi (CoRL, 2022)

Hybrid Random Features. - Krzysztof Marcin Choromanski; Han Lin; Haoxian Chen 002; Arijit Sehanobish; Yuanzhe Ma; Deepali Jain; Jake Varley; Andy Zeng 001; Michael S. Ryoo; Valerii Likhosherstov; Dmitry Kalashnikov; Vikas Sindhwani; et al. (ICLR, 2022)

Implicit Two-Tower Policies. - Yunfan Zhao; Qingkai Pan; Krzysztof Choromanski; Deepali Jain; Vikas Sindhwani (CoRR, 2022)

Efficient Graph Field Integrators Meet Point Clouds. - 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; et al. (ICML, 2023)

Agile Catching with Whole-Body MPC and Blackbox Policy Learning. - 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 (L4DC, 2023)

Mnemosyne: Learning to Train Transformers with Transformers. - Deepali Jain; Krzysztof Marcin Choromanski; Kumar Avinava Dubey; Sumeet Singh; Vikas Sindhwani; Tingnan Zhang; Jie Tan 001 (NeurIPS, 2023)

Robotic Table Tennis: A Case Study into a High Speed Learning System. - David B. D'Ambrosio; Navdeep Jaitly; Vikas Sindhwani; Ken Oslund; Peng Xu 010; Nevena Lazic; Anish Shankar; Tianli Ding; Jonathan Abelian; Erwin Coumans; Gus Kouretas; Thinh Nguyen; et al. (Robotics: Science and Systems, 2023)

NITS_Legal at SemEval-2023 Task 6: Rhetorical Roles Prediction of Indian Legal Documents via Sentence Sequence Labeling Approach. - Deepali Jain; Malaya Dutta Borah; Anupam Biswas (SemEval@ACL, 2023)

Barkour: Benchmarking Animal-level Agility with Quadruped Robots. - Ken Caluwaerts; Atil Iscen; J. Chase Kew; Wenhao Yu 003; Tingnan Zhang; Daniel Freeman; Kuang-Huei Lee; Lisa Lee; Stefano Saliceti; Vincent Zhuang; Nathan Batchelor; Steven Bohez; et al. (CoRR, 2023)

Robotic Table Tennis: A Case Study into a High Speed Learning System. - 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; et al. (CoRR, 2023)

Bayesian Optimization based Score Fusion of Linguistic Approaches for Improving Legal Document Summarization. - Deepali Jain; Malaya Dutta Borah; Anupam Biswas (Knowl. Based Syst., 2023)

Modeling the Real World with High-Density Visual Particle Dynamics. - William F. Whitney; Jake Varley; Deepali Jain; Krzysztof Marcin Choromanski; Sumeet Singh; Vikas Sindhwani (CoRL, 2024)

SARA-RT: Scaling up Robotics Transformers with Self-Adaptive Robust Attention. - Isabel Leal; Krzysztof Choromanski; Deepali Jain; Avinava Dubey; Jake Varley; Michael S. Ryoo; Yao Lu 006; Frederick Liu; Vikas Sindhwani; Quan Vuong; Tamás Sarlós; Ken Oslund; et al. (ICRA, 2024)

The Design of the Barkour Benchmark for Robot Agility. - Wenhao Yu 003; Ken Caluwaerts; Atil Iscen; J. Chase Kew; Tingnan Zhang; Daniel Freeman; Lisa Lee; Stefano Saliceti; Vincent Zhuang; Nathan Batchelor; Steven Bohez; Federico Casarini; et al. (IROS, 2024)

Embodied AI with Two Arms: Zero-shot Learning, Safety and Modularity. - Jake Varley; Sumeet Singh; Deepali Jain; Krzysztof Choromanski; Andy Zeng 001; Somnath Basu Roy Chowdhury; Avinava Dubey; Vikas Sindhwani (IROS, 2024)

Structured Unrestricted-Rank Matrices for Parameter Efficient Finetuning. - Arijit Sehanobish; Kumar Avinava Dubey; Krzysztof Marcin Choromanski; Somnath Basu Roy Chowdhury; Deepali Jain; Vikas Sindhwani; Snigdha Chaturvedi (NeurIPS, 2024)

A sentence is known by the company it keeps: Improving Legal Document Summarization Using Deep Clustering. - Deepali Jain; Malaya Dutta Borah; Anupam Biswas (Artif. Intell. Law, 2024)

Structured Unrestricted-Rank Matrices for Parameter Efficient Fine-tuning. - Arijit Sehanobish; Avinava Dubey; Krzysztof Choromanski; Somnath Basu Roy Chowdhury; Deepali Jain; Vikas Sindhwani; Snigdha Chaturvedi (CoRR, 2024)

Modeling the Real World with High-Density Visual Particle Dynamics. - William F. Whitney; Jacob Varley; Deepali Jain; Krzysztof Choromanski; Sumeet Singh; Vikas Sindhwani (CoRR, 2024)

Achieving Human Level Competitive Robot Table Tennis. - 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; et al. (CoRR, 2024)

Summarization of Lengthy Legal Documents via Abstractive Dataset Building: An Extract-then-Assign Approach. - Deepali Jain; Malaya Dutta Borah; Anupam Biswas (Expert Syst. Appl., 2024)

Linear Transformer Topological Masking with Graph Random Features. - Isaac Reid; Kumar Avinava Dubey; Deepali Jain; William F. Whitney; Amr Ahmed 001; Joshua Ainslie; Alex Bewley; Mithun George Jacob; Aranyak Mehta; David Rendleman; Connor Schenck; Richard E. Turner; et al. (ICLR, 2025)

Learning the RoPEs: Better 2D and 3D Position Encodings with STRING. - Connor Schenck; Isaac Reid; Mithun George Jacob; Alex Bewley; Joshua Ainslie; David Rendleman; Deepali Jain; Mohit Sharma 001; Avinava Dubey; Ayzaan Wahid; Sumeet Singh; René Wagner; et al. (CoRR, 2025)

Gemini Robotics: Bringing AI into the Physical World. - Gemini Robotics Team; Saminda Abeyruwan; Joshua Ainslie; Jean-Baptiste Alayrac; Montserrat Gonzalez Arenas; Travis Armstrong; Ashwin Balakrishna; Robert Baruch; Maria Bauzá 001; Michiel Blokzijl; Steven Bohez; Konstantinos Bousmalis; et al. (CoRR, 2025)

Predicting Soil Macronutrient Levels: A Machine Learning Approach Models Trained on pH, Conductivity, and Average Power of Acid-Base Solutions. - Mridul Kumar; Deepali Jain; Zeeshan Saifi; Soami Daya Krishnananda (CoRR, 2025)