Vikash Kumar
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
46
Venues
13
Active years
2012–2026
Best venue rank
A*
Where they publish
Papers
46 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | FAST | Advancing Data Integrity in Linux. | Anuj Gupta, Christoph Hellwig, Kanchan Joshi, Vikash Kumar, Javier Gonzlez, Roshan R. Nair, Jinyoung Choi |
| 2025 | EuroSys | Towards Efficient Flash Caches with Emerging NVMe Flexible Data Placement SSDs. | Michael Allison, Arun George, Javier Gonzlez, Dan Helmick, Vikash Kumar, Roshan R. Nair, Vivek Shah |
| 2025 | ICRA | Cascaded Diffusion Models for Neural Motion Planning. | Mohit Sharma, Adam Fishman, Vikash Kumar, Chris Paxton, Oliver Kroemer |
| 2024 | DATE | Motivating the Use of Machine-Learning for Improving Timing Behaviour of Embedded Mixed-Criticality Systems. | Vikash Kumar, Behnaz Ranjbar, Akash Kumar |
| 2024 | ICLR | TorchRL: A data-driven decision-making library for PyTorch. | Albert Bou, Matteo Bettini, Sebastian Dittert, Vikash Kumar, Shagun Sodhani, Xiaomeng Yang, Gianni De Fabritiis, Vincent Moens |
| 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 |
| 2024 | ICRA | MoDem-V2: Visuo-Motor World Models for Real-World Robot Manipulation. | Patrick Lancaster, Nicklas Hansen, Aravind Rajeswaran, Vikash Kumar |
| 2023 | CoRL | REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation. | Zheyuan Hu, Aaron Rovinsky, Jianlan Luo, Vikash Kumar, Abhishek Gupta, Sergey Levine |
| 2023 | CVPR | MIPI 2023 Challenge on RGB+ToF Depth Completion: Methods and Results. | Qingpeng Zhu, Wenxiu Sun, Yuekun Dai, Chongyi Li, Shangchen Zhou, Ruicheng Feng, Qianhui Sun, Chen Change Loy, Jinwei Gu, Yi Yu, Yangke Huang, Kang Zhang, Meiya Chen, Yu Wang, Yongchao Li, Hao Jiang, Amrit Kumar Muduli, Vikash Kumar, Kunal Swami, Pankaj Kumar Bajpai, Yunchao Ma, Jiajun Xiao, Zhi Ling |
| 2023 | ICAART | A Sequence-Motif Based Approach to Protein Function Prediction via Deep-CNN Architecture. | Vikash Kumar, Ashish Ranjan, Deng Cao, Gopalakrishnan Krishnasamy, Akshay Deepak |
| 2023 | ICLR | MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations. | Nicklas Hansen, Yixin Lin, Hao Su, Xiaolong Wang, Vikash Kumar, Aravind Rajeswaran |
| 2023 | ICLR | VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training. | Yecheng Jason Ma, Shagun Sodhani, Dinesh Jayaraman, Osbert Bastani, Vikash Kumar, Amy Zhang |
| 2023 | ICML | MyoDex: A Generalizable Prior for Dexterous Manipulation. | Vittorio Caggiano, Sudeep Dasari, Vikash Kumar |
| 2023 | ICML | LIV: Language-Image Representations and Rewards for Robotic Control. | Yecheng Jason Ma, Vikash Kumar, Amy Zhang, Osbert Bastani, Dinesh Jayaraman |
| 2023 | ICRA | Learning Dexterous Manipulation from Exemplar Object Trajectories and Pre-Grasps. | Sudeep Dasari, Abhinav Gupta, Vikash Kumar |
| 2023 | ICRA | Dexterous Manipulation from Images: Autonomous Real-World RL via Substep Guidance. | Kelvin Xu, Zheyuan Hu, Ria Doshi, Aaron Rovinsky, Vikash Kumar, Abhishek Gupta, Sergey Levine |
| 2023 | ICRA | Real World Offline Reinforcement Learning with Realistic Data Source. | Gaoyue Zhou, Liyiming Ke, Siddhartha S. Srinivasa, Abhinav Gupta, Aravind Rajeswaran, Vikash Kumar |
| 2023 | WACV | CoNMix for Source-free Single and Multi-target Domain Adaptation. | Vikash Kumar, Rohit Lal, Himanshu Patil, Anirban Chakraborty |
| 2022 | CoRL | R3M: A Universal Visual Representation for Robot Manipulation. | Suraj Nair, Aravind Rajeswaran, Vikash Kumar, Chelsea Finn, Abhinav Gupta |
| 2022 | CoRL | Cross-Domain Transfer via Semantic Skill Imitation. | Karl Pertsch, Ruta Desai, Vikash Kumar, Franziska Meier, Joseph J. Lim, Dhruv Batra, Akshara Rai |
| 2022 | DATE | Data-Aware Cache Management for Graph Analytics. | Neelam Sharma, Varun Venkitaraman, Newton, Vikash Kumar, Shubham Singhania, Chandan Kumar Jha |
| 2022 | ICML | Translating Robot Skills: Learning Unsupervised Skill Correspondences Across Robots. | Tanmay Shankar, Yixin Lin, Aravind Rajeswaran, Vikash Kumar, Stuart Anderson, Jean Oh |
| 2022 | ICRA | MyoSim: Fast and physiologically realistic MuJoCo models for musculoskeletal and exoskeletal studies. | Huawei Wang, Vittorio Caggiano, Guillaume Durandau, Massimo Sartori, Vikash Kumar |
| 2021 | ICML | RRL: Resnet as representation for Reinforcement Learning. | Rutav M. Shah, Vikash Kumar |
| 2021 | ICRA | Reset-Free Reinforcement Learning via Multi-Task Learning: Learning Dexterous Manipulation Behaviors without Human Intervention. | Abhishek Gupta, Justin Yu, Tony Z. Zhao, Vikash Kumar, Aaron Rovinsky, Kelvin Xu, Thomas Devlin, Sergey Levine |
| 2020 | ICLR | Dynamics-Aware Unsupervised Discovery of Skills. | Archit Sharma, Shixiang Gu, Sergey Levine, Vikash Kumar, Karol Hausman |
| 2020 | ICLR | The Ingredients of Real World Robotic Reinforcement Learning. | Henry Zhu, Justin Yu, Abhishek Gupta, Dhruv Shah, Kristian Hartikainen, Avi Singh, Vikash Kumar, Sergey Levine |
| 2020 | ICML | A Game Theoretic Framework for Model Based Reinforcement Learning. | Aravind Rajeswaran, Igor Mordatch, Vikash Kumar |
| 2020 | ICRA | TRASS: Time Reversal as Self-Supervision. | Suraj Nair, Mohammad Babaeizadeh, Chelsea Finn, Sergey Levine, Vikash Kumar |
| 2019 | CoRL | Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning. | Abhishek Gupta, Vikash Kumar, Corey Lynch, Sergey Levine, Karol Hausman |
| 2019 | CoRL | ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots. | Michael Ahn, Henry Zhu, Kristian Hartikainen, Hugo Ponte, Abhishek Gupta, Sergey Levine, Vikash Kumar |
| 2019 | CoRL | Learning Latent Plans from Play. | Corey Lynch, Mohi Khansari, Ted Xiao, Vikash Kumar, Jonathan Tompson, Sergey Levine, Pierre Sermanet |
| 2019 | CoRL | Multi-Agent Manipulation via Locomotion using Hierarchical Sim2Real. | Ofir Nachum, Michael Ahn, Hugo Ponte, Shixiang Shane Gu, Vikash Kumar |
| 2019 | CoRL | Deep Dynamics Models for Learning Dexterous Manipulation. | Anusha Nagabandi, Kurt Konolige, Sergey Levine, Vikash Kumar |
| 2019 | ICRA | Learning Deep Visuomotor Policies for Dexterous Hand Manipulation. | Divye Jain, Andrew Li, Shivam Singhal, Aravind Rajeswaran, Vikash Kumar, Emanuel Todorov |
| 2019 | ICRA | Dexterous Manipulation with Deep Reinforcement Learning: Efficient, General, and Low-Cost. | Henry Zhu, Abhishek Gupta, Aravind Rajeswaran, Sergey Levine, Vikash Kumar |
| 2018 | ICLR | Divide-and-Conquer Reinforcement Learning. | Dibya Ghosh, Avi Singh, Aravind Rajeswaran, Vikash Kumar, Sergey Levine |
| 2018 | ICLR | Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines. | Cathy Wu, Aravind Rajeswaran, Yan Duan, Vikash Kumar, Alexandre M. Bayen, Sham M. Kakade, Igor Mordatch, Pieter Abbeel |
| 2018 | IROS | Domain Randomization and Generative Models for Robotic Grasping. | Josh Tobin, Lukas Biewald, Rocky Duan, Marcin Andrychowicz, Ankur Handa, Vikash Kumar, Bob McGrew, Alex Ray, Jonas Schneider, Peter Welinder, Wojciech Zaremba, Pieter Abbeel |
| 2016 | ICRA | Optimal control with learned local models: Application to dexterous manipulation. | Vikash Kumar, Emanuel Todorov, Sergey Levine |
| 2014 | ICRA | Real-time behaviour synthesis for dynamic hand-manipulation. | Vikash Kumar, Yuval Tassa, Tom Erez, Emanuel Todorov |
| 2013 | IIWAS | Big Data in Large Scale Intelligent Smart City Installations. | Sylva Girtelschmid, Matthias Steinbauer, Vikash Kumar, Anna Fensel, Gabriele Kotsis |
| 2013 | IIWAS | Context Based Adaptation of Semantic Rules in Smart Buildings. | Vikash Kumar, Anna Fensel, Peter Frhlich |
| 2013 | ICRA | Fast, strong and compliant pneumatic actuation for dexterous tendon-driven hands. | Vikash Kumar, Zhe Xu, Emanuel Todorov |
| 2012 | WWW | A semantic policy sharing and adaptation infrastructure for pervasive communities. | Vikash Kumar |