Vikash Kumar

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 137

Top Venues

Publications

Vikash Kumar, Behnaz Ranjbar, Akash Kumar
Utilizing Machine Learning Techniques for Worst-Case Execution Time Estimation on GPU Architectures. IEEE Access 12 (2024)
Pawan Singh, Prabhat Singh Kourav, Shaurya Mohapatra, Vikash Kumar, Subrata Kumar Panda
Human heart health prediction using GAIT parameters and machine learning model. Biomed. Signal Process. Control. 88 (Part A) (2024)
Vikash Kumar, Behnaz Ranjbar, Akash Kumar
Motivating the Use of Machine-Learning for Improving Timing Behaviour of Embedded Mixed-Criticality Systems. DATE (2024)
Vikash Kumar, Seemanti Saha
Robust Q-learning-based multi-objective sheep flock optimizer with a Cauchy operator for effective path planning in unmanned aerial vehicles. Int. J. Commun. Syst. 37 (2) (2024)
Patrick Lancaster, Nicklas Hansen, Aravind Rajeswaran, Vikash Kumar
MoDem-V2: Visuo-Motor World Models for Real-World Robot Manipulation. ICRA (2024)
Vikash Kumar, Behnaz Ranjbar, Akash Kumar
ESOMICS: ML-Based Timing Behavior Analysis for Efficient Mixed-Criticality System Design. IEEE Access 12 (2024)
Vikash Kumar, Himanshu Patil, Rohit Lal, Anirban Chakraborty
Improving Domain Adaptation Through Class Aware Frequency Transformation. 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)
Albert Bou, Matteo Bettini, Sebastian Dittert, Vikash Kumar, Shagun Sodhani, Xiaomeng Yang, Gianni De Fabritiis, Vincent Moens
TorchRL: A data-driven decision-making library for PyTorch. ICLR (2024)
Arif Jamal Siddiqui, Vikash Kumar, Sadaf Jahan, Mohammed Merae Alshahrani, Ahmed Abdullah Al Awadh, Maqsood Ahmed Siddiqui, Walid Sabri Hamadou, Abdelmushin Abdelgadir, Juhi Saxena, Riadh Badraoui, Mejdi Snoussi, Mohd Adnan
Computational insight into structural basis of human ELOVL1 inhibition. Comput. Biol. Medicine 157 (2023)
Vikash Kumar, Ashish Ranjan, Deng Cao, Gopalakrishnan Krishnasamy, Akshay Deepak
A Sequence-Motif Based Approach to Protein Function Prediction via Deep-CNN Architecture. ICAART (3) (2023)
Homanga Bharadhwaj, Abhinav Gupta, Shubham Tulsiani, Vikash Kumar
Zero-Shot Robot Manipulation from Passive Human Videos. CoRR (2023)
Nicklas Hansen, Yixin Lin, Hao Su, Xiaolong Wang, Vikash Kumar, Aravind Rajeswaran
MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations. ICLR (2023)
Homanga Bharadhwaj, Abhinav Gupta, Vikash Kumar, Shubham Tulsiani
Towards Generalizable Zero-Shot Manipulation via Translating Human Interaction Plans. CoRR (2023)
Vittorio Caggiano, Sudeep Dasari, Vikash Kumar
MyoDex: A Generalizable Prior for Dexterous Manipulation. ICML (2023)
Vikash Kumar, Ditipriya Sinha
Synthetic attack data generation model applying generative adversarial network for intrusion detection. Comput. Secur. 125 (2023)
Vikash Kumar, Rutav M. Shah, Gaoyue Zhou, Vincent Moens, Vittorio Caggiano, Jay Vakil, Abhishek Gupta, Aravind Rajeswaran
RoboHive: A Unified Framework for Robot Learning. CoRR (2023)
Gaoyue Zhou, Liyiming Ke, Siddhartha S. Srinivasa, Abhinav Gupta, Aravind Rajeswaran, Vikash Kumar
Real World Offline Reinforcement Learning with Realistic Data Source. ICRA (2023)
Vittorio Caggiano, Sudeep Dasari, Vikash Kumar
MyoDex: A Generalizable Prior for Dexterous Manipulation. CoRR (2023)
Vikash Kumar, Subrata Mukherjee, Somnath Sarangi
Integrated Approach of Gearbox Fault Diagnosis. CoRR (2023)
Patrick Lancaster, Nicklas Hansen, Aravind Rajeswaran, Vikash Kumar
MoDem-V2: Visuo-Motor World Models for Real-World Robot Manipulation. CoRR (2023)
Vikash Kumar, Akshay Deepak, Ashish Ranjan, Aravind Prakash
Lite-SeqCNN: A Light-Weight Deep CNN Architecture for Protein Function Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (3) (2023)
Zheyuan Hu, Aaron Rovinsky, Jianlan Luo, Vikash Kumar, Abhishek Gupta, Sergey Levine
REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation. CoRL (2023)
Zoey Qiuyu Chen, Shosuke C. Kiami, Abhishek Gupta, Vikash Kumar
GenAug: Retargeting behaviors to unseen situations via Generative Augmentation. Robotics: Science and Systems (2023)
Cameron H. Berg, Vittorio Caggiano, Vikash Kumar
SAR: Generalization of Physiological Dexterity via Synergistic Action Representation. Robotics: Science and Systems (2023)
Kelvin Xu, Zheyuan Hu, Ria Doshi, Aaron Rovinsky, Vikash Kumar, Abhishek Gupta, Sergey Levine
Dexterous Manipulation from Images: Autonomous Real-World RL via Substep Guidance. ICRA (2023)
Pierre Schumacher, Thomas Geijtenbeek, Vittorio Caggiano, Vikash Kumar, Syn Schmitt, Georg Martius, Daniel F. B. Haeufle
Natural and Robust Walking using Reinforcement Learning without Demonstrations in High-Dimensional Musculoskeletal Models. CoRR (2023)
Albert Bou, Matteo Bettini, Sebastian Dittert, Vikash Kumar, Shagun Sodhani, Xiaomeng Yang, Gianni De Fabritiis, Vincent Moens
TorchRL: A data-driven decision-making library for PyTorch. CoRR (2023)
Yecheng Jason Ma, Shagun Sodhani, Dinesh Jayaraman, Osbert Bastani, Vikash Kumar, Amy Zhang
VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training. ICLR (2023)
Tao Chen, Megha Tippur, Siyang Wu, Vikash Kumar, Edward Adelson, Pulkit Agrawal
Visual dexterity: In-hand reorientation of novel and complex object shapes. Sci. Robotics 8 (84) (2023)
Yecheng Jason Ma, William Liang, Vaidehi Som, Vikash Kumar, Amy Zhang, Osbert Bastani, Dinesh Jayaraman
LIV: Language-Image Representations and Rewards for Robotic Control. CoRR (2023)
Subrata Mukherjee, Vikash Kumar, Somnath Sarangi
Modified Lagrangian Formulation of Gear Tooth Crack Analysis using Combined Approach of Variable Mode Decomposition (VMD) and Time Synchronous Averaging (TSA). CoRR (2023)
Tony Z. Zhao, Vikash Kumar, Sergey Levine, Chelsea Finn
Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware. Robotics: Science and Systems (2023)
Yecheng Jason Ma, Vikash Kumar, Amy Zhang, Osbert Bastani, Dinesh Jayaraman
LIV: Language-Image Representations and Rewards for Robotic Control. ICML (2023)
Sudeep Dasari, Abhinav Gupta, Vikash Kumar
Learning Dexterous Manipulation from Exemplar Object Trajectories and Pre-Grasps. ICRA (2023)
Raunaq M. Bhirangi, Abigail DeFranco, Jacob Adkins, Carmel Majidi, Abhinav Gupta, Tess Lee Hellebrekers, Vikash Kumar
All the Feels: A Dexterous Hand With Large-Area Tactile Sensing. IEEE Robotics Autom. Lett. 8 (12) (2023)
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
MIPI 2023 Challenge on RGB+ToF Depth Completion: Methods and Results. CoRR (2023)
Vikash Kumar, Rutav M. Shah, Gaoyue Zhou, Vincent Moens, Vittorio Caggiano, Abhishek Gupta, Aravind Rajeswaran
RoboHive: A Unified Framework for Robot Learning. NeurIPS (2023)
Zoey Qiuyu Chen, Sho Kiami, Abhishek Gupta, Vikash Kumar
GenAug: Retargeting behaviors to unseen situations via Generative Augmentation. CoRR (2023)
Vikash Kumar, Rohit Lal, Himanshu Patil, Anirban Chakraborty
CoNMix for Source-free Single and Multi-target Domain Adaptation. WACV (2023)
Cameron Berg, Vittorio Caggiano, Vikash Kumar
SAR: Generalization of Physiological Agility and Dexterity via Synergistic Action Representation. CoRR (2023)
Zheyuan Hu, Aaron Rovinsky, Jianlan Luo, Vikash Kumar, Abhishek Gupta, Sergey Levine
REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation. CoRR (2023)
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
MIPI 2023 Challenge on RGB+ToF Depth Completion: Methods and Results. CVPR Workshops (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)
Vikash Kumar, Himanshu Patil, Rohit Lal, Anirban Chakraborty
Improving Domain Adaptation Through Class Aware Frequency Transformation. Int. J. Comput. Vis. 131 (11) (2023)
Tony Z. Zhao, Vikash Kumar, Sergey Levine, Chelsea Finn
Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware. CoRR (2023)
Arpita Srivastava, Ditipriya Sinha, Vikash Kumar
WCGAN-GP based synthetic attack data generation with GA based feature selection for IDS. Comput. Secur. 134 (2023)
Neelam Sharma, Varun Venkitaraman, Newton, Vikash Kumar, Shubham Singhania, Chandan Kumar Jha
Data-Aware Cache Management for Graph Analytics. DATE (2022)
Allan Zhou, Vikash Kumar, Chelsea Finn, Aravind Rajeswaran
Policy Architectures for Compositional Generalization in Control. CoRR (2022)
Yuchen Cui, Scott Niekum, Abhinav Gupta, Vikash Kumar, Aravind Rajeswaran
Can Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation? CoRR (2022)
Karl Pertsch, Ruta Desai, Vikash Kumar, Franziska Meier, Joseph J. Lim, Dhruv Batra, Akshara Rai
Cross-Domain Transfer via Semantic Skill Imitation. CoRL (2022)
Yuchen Cui, Scott Niekum, Abhinav Gupta, Vikash Kumar, Aravind Rajeswaran
Can Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation? L4DC (2022)
Vikash Kumar, Rohit Lal, Himanshu Patil, Anirban Chakraborty
CoNMix for Source-free Single and Multi-target Domain Adaptation. CoRR (2022)
Vittorio Caggiano, Huawei Wang, Guillaume Durandau, Massimo Sartori, Vikash Kumar
MyoSuite: A Contact-rich Simulation Suite for Musculoskeletal Motor Control. L4DC (2022)
Vikash Kumar, Asfak Ali, Sheli Sinha Chaudhuri
RNCE: A New Image Segmentation Approach. CVMI (2022)
Gaoyue Zhou, Liyiming Ke, Siddhartha S. Srinivasa, Abhinav Gupta, Aravind Rajeswaran, Vikash Kumar
Real World Offline Reinforcement Learning with Realistic Data Source. CoRR (2022)
Raunaq M. Bhirangi, Abigail DeFranco, Jacob Adkins, Carmel Majidi, Abhinav Gupta, Tess Lee Hellebrekers, Vikash Kumar
All the Feels: A dexterous hand with large area sensing. CoRR (2022)
Suraj Nair, Aravind Rajeswaran, Vikash Kumar, Chelsea Finn, Abhinav Gupta
R3M: A Universal Visual Representation for Robot Manipulation. CoRL (2022)
Kelvin Xu, Zheyuan Hu, Ria Doshi, Aaron Rovinsky, Vikash Kumar, Abhishek Gupta, Sergey Levine
Dexterous Manipulation from Images: Autonomous Real-World RL via Substep Guidance. CoRR (2022)
Sudeep Dasari, Jianren Wang, Joyce Hong, Shikhar Bahl, Yixin Lin, Austin S. Wang, Abitha Thankaraj, Karanbir Chahal, Berk Çalli, Saurabh Gupta, David Held, Lerrel Pinto, Deepak Pathak, Vikash Kumar, Abhinav Gupta
RB2: Robotic Manipulation Benchmarking with a Twist. CoRR (2022)
Sudeep Dasari, Abhinav Gupta, Vikash Kumar
Learning Dexterous Manipulation from Exemplar Object Trajectories and Pre-Grasps. CoRR (2022)
Tao Chen, Megha Tippur, Siyang Wu, Vikash Kumar, Edward Adelson, Pulkit Agrawal
Visual Dexterity: In-hand Dexterous Manipulation from Depth. CoRR (2022)
Nicklas Hansen, Yixin Lin, Hao Su, Xiaolong Wang, Vikash Kumar, Aravind Rajeswaran
MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations. CoRR (2022)
Vikash Kumar
An integrated approach of Genetic Algorithm and Machine Learning for generation of Worst-Case Data for Real-Time Systems. DS-RT (2022)
Vikash Kumar, Ditipriya Sinha
Hybrid Approach Using Deep Autoencoder and Machine Learning Techniques for Cyber-Attack Detection. Int. J. Ambient Comput. Intell. 13 (1) (2022)
Vittorio Caggiano, Huawei Wang, Guillaume Durandau, Massimo Sartori, Vikash Kumar
MyoSuite - A contact-rich simulation suite for musculoskeletal motor control. CoRR (2022)
Tanmay Shankar, Yixin Lin, Aravind Rajeswaran, Vikash Kumar, Stuart Anderson, Jean Oh
Translating Robot Skills: Learning Unsupervised Skill Correspondences Across Robots. ICML (2022)
Vikash Kumar, Subrata Mukherjee, Alok Kumar Verma, Somnath Sarangi
An AI-Based Nonparametric Filter Approach for Gearbox Fault Diagnosis. IEEE Trans. Instrum. Meas. 71 (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)
Karl Pertsch, Ruta Desai, Vikash Kumar, Franziska Meier, Joseph J. Lim, Dhruv Batra, Akshara Rai
Cross-Domain Transfer via Semantic Skill Imitation. CoRR (2022)
Cecylia S. Lupala, Vikash Kumar, Xiao-dong Su, Chun Wu, Haiguang Liu
Computational insights into differential interaction of mammalian angiotensin-converting enzyme 2 with the SARS-CoV-2 spike receptor binding domain. Comput. Biol. Medicine 141 (2022)
Vikash Kumar
Estimation of an Early WCET Using Different Machine Learning Approaches. 3PGCIC (2022)
Huawei Wang, Vittorio Caggiano, Guillaume Durandau, Massimo Sartori, Vikash Kumar
MyoSim: Fast and physiologically realistic MuJoCo models for musculoskeletal and exoskeletal studies. ICRA (2022)
Yecheng Jason Ma, Shagun Sodhani, Dinesh Jayaraman, Osbert Bastani, Vikash Kumar, Amy Zhang
VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training. CoRR (2022)
Yujie Lu, Jianren Wang, Vikash Kumar
Curiosity Driven Self-supervised Tactile Exploration of Unknown Objects. CoRR (2022)
Suraj Nair, Aravind Rajeswaran, Vikash Kumar, Chelsea Finn, Abhinav Gupta
R3M: A Universal Visual Representation for Robot Manipulation. CoRR (2022)
Rutav M. Shah, Vikash Kumar
RRL: Resnet as representation for Reinforcement Learning. CoRR (2021)
Vikash Kumar, Sarthak Srivastava, Rohit Lal, Anirban Chakraborty
CAFT: Class Aware Frequency Transform for Reducing Domain Gap. ICCVW (2021)
Vikash Kumar
Deep Neural Network Approach to Estimate Early Worst-Case Execution Time. CoRR (2021)
Vikash Kumar, Ayan Kumar Das, Ditipriya Sinha
UIDS: a unified intrusion detection system for IoT environment. Evol. Intell. 14 (1) (2021)
Sudeep Dasari, Jianren Wang, Joyce Hong, Shikhar Bahl, Yixin Lin, Austin S. Wang, Abitha Thankaraj, Karanbir Chahal, Berk Çalli, Saurabh Gupta, David Held, Lerrel Pinto, Deepak Pathak, Vikash Kumar, Abhinav Gupta
RB2: Robotic Manipulation Benchmarking with a Twist. NeurIPS Datasets and Benchmarks (2021)
Abhishek Gupta, Justin Yu, Tony Z. Zhao, Vikash Kumar, Aaron Rovinsky, Kelvin Xu, Thomas Devlin, Sergey Levine
Reset-Free Reinforcement Learning via Multi-Task Learning: Learning Dexterous Manipulation Behaviors without Human Intervention. CoRR (2021)
Vikash Kumar, Haiguang Liu, Chun Wu
Drug repurposing against SARS-CoV-2 receptor binding domain using ensemble-based virtual screening and molecular dynamics simulations. Comput. Biol. Medicine 135 (2021)
Rutav M. Shah, Vikash Kumar
RRL: Resnet as representation for Reinforcement Learning. ICML (2021)
Abhishek Gupta, Justin Yu, Tony Z. Zhao, Vikash Kumar, Aaron Rovinsky, Kelvin Xu, Thomas Devlin, Sergey Levine
Reset-Free Reinforcement Learning via Multi-Task Learning: Learning Dexterous Manipulation Behaviors without Human Intervention. ICRA (2021)
Vittorio Caggiano, Guillaume Durandau, Huwawei Wang, Alberto Chiappa, Alexander Mathis, Pablo Tano, Nisheet Patel, Alexandre Pouget, Pierre Schumacher, Georg Martius, Daniel Haeufle, Yiran Geng, Boshi An, Yifan Zhong, Jiaming Ji, Yuanpei Chen, Hao Dong, Yaodong Yang, Rahul Siripurapu, Luis Eduardo Ferro Diez, Michael Kopp, Vihang Patil, Sepp Hochreiter, Yuval Tassa, Josh Merel, Randy Schultheis, Seungmoon Song, Massimo Sartori, Vikash Kumar
MyoChallenge 2022: Learning contact-rich manipulation using a musculoskeletal hand. NeurIPS (Competition and Demos) (2021)
Aravind Rajeswaran, Igor Mordatch, Vikash Kumar
A Game Theoretic Framework for Model Based Reinforcement Learning. CoRR (2020)
Archit Sharma, Michael Ahn, Sergey Levine, Vikash Kumar, Karol Hausman, Shixiang Gu
Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning. Robotics: Science and Systems (2020)
Vikash Kumar, Hannah Hoag, Safaa Sader, Nicolas Scorese, Haiguang Liu, Chun Wu
GDP Release from the Open Conformation of Gα Requires Allosteric Signaling from the Agonist-Bound Human β2 Adrenergic Receptor. J. Chem. Inf. Model. 60 (8) (2020)
Henry Zhu, Justin Yu, Abhishek Gupta, Dhruv Shah, Kristian Hartikainen, Avi Singh, Vikash Kumar, Sergey Levine
The Ingredients of Real World Robotic Reinforcement Learning. ICLR (2020)
Suryakant Badde, Vikash Kumar, Kakali Chatterjee, Ditipriya Sinha
Cyber Attack Detection Framework for Cloud Computing. FICTA (2) (2020)
Suraj Nair, Mohammad Babaeizadeh, Chelsea Finn, Sergey Levine, Vikash Kumar
TRASS: Time Reversal as Self-Supervision. ICRA (2020)
Archit Sharma, Michael Ahn, Sergey Levine, Vikash Kumar, Karol Hausman, Shixiang Gu
Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning. CoRR (2020)
Maninder Singh, Vikash Kumar, Kamakshi Sikka, Ravi Thakur, Munesh Kumar Harioudh, Durga Prasad Mishra, Jimut Kanti Ghosh, Mohammad Imran Siddiqi
Computational Design of Biologically Active Anticancer Peptides and Their Interactions with Heterogeneous POPC/POPS Lipid Membranes. J. Chem. Inf. Model. 60 (1) (2020)
Silvia Cruciani, Balakumar Sundaralingam, Kaiyu Hang, Vikash Kumar, Tucker Hermans, Danica Kragic
Benchmarking In-Hand Manipulation. CoRR (2020)
Vikash Kumar, Ditipriya Sinha, Ayan Kumar Das, Subhash Chandra Pandey, Radha Tamal Goswami
An integrated rule based intrusion detection system: analysis on UNSW-NB15 data set and the real time online dataset. Clust. Comput. 23 (2) (2020)
Archit Sharma, Shixiang Gu, Sergey Levine, Vikash Kumar, Karol Hausman
Dynamics-Aware Unsupervised Discovery of Skills. ICLR (2020)
Silvia Cruciani, Balakumar Sundaralingam, Kaiyu Hang, Vikash Kumar, Tucker Hermans, Danica Kragic
Benchmarking In-Hand Manipulation. IEEE Robotics Autom. Lett. 5 (2) (2020)
Aravind Rajeswaran, Igor Mordatch, Vikash Kumar
A Game Theoretic Framework for Model Based Reinforcement Learning. ICML (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Vikash Kumar