Vikash Kumar - RankMe

174 papers A* 26A 6B 1C 3Misc 8Journal 95Unranked 34

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Very Big Video Reasoning Suite. CoRR Maijunxian Wang, Ruisi Wang, Juyi Lin, Ran Ji, Thaddäus Wiedemer, Qingying Gao, Dezhi Luo, Yaoyao Qian, Lianyu Huang, Zelong Hong, Jiahui Ge, Qianli Ma, Hang He, Yifan Zhou, Lingzi Guo, Lantao Mei, Jiachen Li, Hanwen Xing, Tianqi Zhao, Fengyuan Yu, Weihang Xiao, Yizheng Jiao, Jianheng Hou, Danyang Zhang, Pengcheng Xu, Boyang Zhong, Zehong Zhao, Gaoyun Fang, John Kitaoka, Yile Xu, Hua Xu, Kenton Blacutt, Tin Nguyen, Siyuan Song, Haoran Sun, Shaoyue Wen, Linyang He, Runming Wang, Yanzhi Wang, Mengyue Yang, Ziqiao Ma, Raphaël Millière, Freda Shi, Nuno Vasconcelos, Daniel Khashabi, Alan Yuille, Yilun Du, Ziming Liu, Bo Li, Dahua Lin, Ziwei Liu, Vikash Kumar, Yijiang Li, Lei Yang, Zhongang Cai, Hokin Deng
2026	A	`conf`	Advancing Data Integrity in Linux. FAST Anuj Gupta, Christoph Hellwig, Kanchan Joshi, Vikash Kumar, Javier González, Roshan R. Nair, Jinyoung Choi
2026	J	`jnl`	Multi-DeepProtGraphGO: Integrating GCN on PPI Networks With Sequence-Driven Convolutional Bi-LSTM and Attention for Protein Function Prediction. IEEE Trans. Comput. Biol. Bioinform. Balaiah Kukkala, Akshay Deepak, Vikash Kumar, Aravind Prakash
2025	J	`jnl`	An optimized bidirectional vision transformer based colorectal cancer detection using histopathological images. Biomed. Signal Process. Control. Raman Choudhary, Akshay Deepak, Gopalakrishnan Krishnasamy, Vikash Kumar
2025	J	`jnl`	Arithmetic Gradient Optimized Deep Residual Path Planning Model for 3D Environment in Unmannered Aerial Vehicles. Trans. Emerg. Telecommun. Technol. Vikash Kumar, Seemanti Saha
2025	A*	`conf`	Cascaded Diffusion Models for Neural Motion Planning. ICRA Mohit Sharma, Adam Fishman, Vikash Kumar, Chris Paxton, Oliver Kroemer
2025	J	`jnl`	Cascaded Diffusion Models for Neural Motion Planning. CoRR Mohit Sharma, Adam Fishman, Vikash Kumar, Chris Paxton, Oliver Kroemer
2025	J	`jnl`	Enhancement of receptive field using dilated convolution for camouflaged human segmentation in RGB images. Multim. Tools Appl. Vikash Kumar, Raghuraj Singh
2025	—	`conf`	Myoassist 0.1: Myosuite for Dexterity and Agility in Bionic Humans. ICORR Chun Kwang Tan, Cheryl Wang, Shirui Lyu, Balint K. Hodossy, Pierre Schumacher, Elizabeth B. Wilson, Vittorio Caggiano, Vikash Kumar, Dario Farina, Letizia Gionfrida, Elliott J. Rouse, Guillaume Durandau, Seungmoon Song
2025	J	`jnl`	Semantically controllable augmentations for generalizable robot learning. Int. J. Robotics Res. Zoey Qiuyu Chen, Zhao Mandi, Homanga Bharadhwaj, Mohit Sharma, Shuran Song, Abhishek Gupta, Vikash Kumar
2025	A	`conf`	Towards Efficient Flash Caches with Emerging NVMe Flexible Data Placement SSDs. EuroSys Michael Allison, Arun George, Javier González, Dan Helmick, Vikash Kumar, Roshan R. Nair, Vivek Shah
2025	J	`jnl`	Towards Efficient Flash Caches with Emerging NVMe Flexible Data Placement SSDs. CoRR Michael Allison, Arun George, Javier González, Dan Helmick, Vikash Kumar, Roshan R. Nair, Vivek Shah
2024	—	`conf`	A Novel Ensemble Technique for Diabetes Detection using LS-SVM Classifier. ICCCNT Debendra Muduli, Santosh Kumar Sharma, Satya Narayan Gope, Pravir Kumar Pradhan, Avinash Kumar, Vikash Kumar
2024	J	`jnl`	Bi-SeqCNN: A Novel Light-Weight Bi-Directional CNN Architecture for Protein Function Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. Vikash Kumar, Akshay Deepak, Ashish Ranjan, Aravind Prakash
2024	J	`jnl`	CrossPredGO: A Novel Light-Weight Cross-Modal Multi-Attention Framework for Protein Function Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. Vikash Kumar, Akshay Deepak, Ashish Ranjan, Aravind Prakash
2024	J	`jnl`	ESOMICS: ML-Based Timing Behavior Analysis for Efficient Mixed-Criticality System Design. IEEE Access Vikash Kumar, Behnaz Ranjbar, Akash Kumar
2024	J	`jnl`	Human heart health prediction using GAIT parameters and machine learning model. Biomed. Signal Process. Control. Pawan Singh, Prabhat Singh Kourav, Shaurya Mohapatra, Vikash Kumar, Subrata Kumar Panda
2024	J	`jnl`	Improving Domain Adaptation Through Class Aware Frequency Transformation. CoRR Vikash Kumar, Himanshu Patil, Rohit Lal, Anirban Chakraborty
2024	A*	`conf`	MoDem-V2: Visuo-Motor World Models for Real-World Robot Manipulation. ICRA Patrick Lancaster, Nicklas Hansen, Aravind Rajeswaran, Vikash Kumar
2024	A	`conf`	Motivating the Use of Machine-Learning for Improving Timing Behaviour of Embedded Mixed-Criticality Systems. DATE Vikash Kumar, Behnaz Ranjbar, Akash Kumar
2024	—	`conf`	Multi-colour frequency combs in the Kerr microresonators. ICTON Haizhong Weng, Vikash Kumar, Huilan Tu, Qiaoyin Lu, Weihua Guo, Dmitry Skryabin, John F. Donegan
2024	J	`jnl`	Policy Architectures for Compositional Generalization in Control. RLJ Allan Zhou, Vikash Kumar, Chelsea Finn, Aravind Rajeswaran
2024	A*	`conf`	RoboAgent: Generalization and Efficiency in Robot Manipulation via Semantic Augmentations and Action Chunking. ICRA Homanga Bharadhwaj, Jay Vakil, Mohit Sharma, Abhinav Gupta, Shubham Tulsiani, Vikash Kumar
2024	J	`jnl`	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. Vikash Kumar, Seemanti Saha
2024	J	`jnl`	SAR: generalization of physiological agility and dexterity via synergistic action representation. Auton. Robots Cameron Berg, Vittorio Caggiano, Vikash Kumar
2024	J	`jnl`	Semantically Controllable Augmentations for Generalizable Robot Learning. CoRR Zoey Qiuyu Chen, Zhao Mandi, Homanga Bharadhwaj, Mohit Sharma, Shuran Song, Abhishek Gupta, Vikash Kumar
2024	A*	`conf`	TorchRL: A data-driven decision-making library for PyTorch. ICLR Albert Bou, Matteo Bettini, Sebastian Dittert, Vikash Kumar, Shagun Sodhani, Xiaomeng Yang, Gianni De Fabritiis, Vincent Moens
2024	A*	`conf`	Towards Generalizable Zero-Shot Manipulation via Translating Human Interaction Plans. ICRA Homanga Bharadhwaj, Abhinav Gupta, Vikash Kumar, Shubham Tulsiani
2024	J	`jnl`	Utilizing Machine Learning Techniques for Worst-Case Execution Time Estimation on GPU Architectures. IEEE Access Vikash Kumar, Behnaz Ranjbar, Akash Kumar
2023	—	`conf`	A Sequence-Motif Based Approach to Protein Function Prediction via Deep-CNN Architecture. ICAART (3) Vikash Kumar, Ashish Ranjan, Deng Cao, Gopalakrishnan Krishnasamy, Akshay Deepak
2023	J	`jnl`	All the Feels: A Dexterous Hand With Large-Area Tactile Sensing. IEEE Robotics Autom. Lett. Raunaq M. Bhirangi, Abigail DeFranco, Jacob Adkins, Carmel Majidi, Abhinav Gupta, Tess Lee Hellebrekers, Vikash Kumar
2023	A	`conf`	CoNMix for Source-free Single and Multi-target Domain Adaptation. WACV Vikash Kumar, Rohit Lal, Himanshu Patil, Anirban Chakraborty
2023	J	`jnl`	Computational insight into structural basis of human ELOVL1 inhibition. Comput. Biol. Medicine 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
2023	A*	`conf`	Dexterous Manipulation from Images: Autonomous Real-World RL via Substep Guidance. ICRA Kelvin Xu, Zheyuan Hu, Ria Doshi, Aaron Rovinsky, Vikash Kumar, Abhishek Gupta, Sergey Levine
2023	—	`conf`	Examination of Multiples Users MIMO-NOMA over Robust Fading Channel Conditions. ICMLDE Subrahmanyeswararao M, Ravi Shankar, Sumit Gupta, Arpita Baronia, Vikash Kumar
2023	—	`conf`	GenAug: Retargeting behaviors to unseen situations via Generative Augmentation. Robotics: Science and Systems Zoey Qiuyu Chen, Shosuke C. Kiami, Abhishek Gupta, Vikash Kumar
2023	J	`jnl`	GenAug: Retargeting behaviors to unseen situations via Generative Augmentation. CoRR Zoey Qiuyu Chen, Sho Kiami, Abhishek Gupta, Vikash Kumar
2023	J	`jnl`	Improving Domain Adaptation Through Class Aware Frequency Transformation. Int. J. Comput. Vis. Vikash Kumar, Himanshu Patil, Rohit Lal, Anirban Chakraborty
2023	J	`jnl`	Integrated Approach of Gearbox Fault Diagnosis. CoRR Vikash Kumar, Subrata Mukherjee, Somnath Sarangi
2023	A*	`conf`	LIV: Language-Image Representations and Rewards for Robotic Control. ICML Yecheng Jason Ma, Vikash Kumar, Amy Zhang, Osbert Bastani, Dinesh Jayaraman
2023	J	`jnl`	LIV: Language-Image Representations and Rewards for Robotic Control. CoRR Yecheng Jason Ma, William Liang, Vaidehi Som, Vikash Kumar, Amy Zhang, Osbert Bastani, Dinesh Jayaraman
2023	A*	`conf`	Learning Dexterous Manipulation from Exemplar Object Trajectories and Pre-Grasps. ICRA Sudeep Dasari, Abhinav Gupta, Vikash Kumar
2023	—	`conf`	Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware. Robotics: Science and Systems Tony Z. Zhao, Vikash Kumar, Sergey Levine, Chelsea Finn
2023	J	`jnl`	Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware. CoRR Tony Z. Zhao, Vikash Kumar, Sergey Levine, Chelsea Finn
2023	J	`jnl`	Lite-SeqCNN: A Light-Weight Deep CNN Architecture for Protein Function Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. Vikash Kumar, Akshay Deepak, Ashish Ranjan, Aravind Prakash
2023	—	`conf`	MIPI 2023 Challenge on RGB+ToF Depth Completion: Methods and Results. CVPR Workshops 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	J	`jnl`	MIPI 2023 Challenge on RGB+ToF Depth Completion: Methods and Results. CoRR 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	J	`jnl`	MoDem-V2: Visuo-Motor World Models for Real-World Robot Manipulation. CoRR Patrick Lancaster, Nicklas Hansen, Aravind Rajeswaran, Vikash Kumar
2023	A*	`conf`	MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations. ICLR Nicklas Hansen, Yixin Lin, Hao Su, Xiaolong Wang, Vikash Kumar, Aravind Rajeswaran
2023	J	`jnl`	Modified Lagrangian Formulation of Gear Tooth Crack Analysis using Combined Approach of Variable Mode Decomposition (VMD) and Time Synchronous Averaging (TSA). CoRR Subrata Mukherjee, Vikash Kumar, Somnath Sarangi
2023	A*	`conf`	MyoDex: A Generalizable Prior for Dexterous Manipulation. ICML Vittorio Caggiano, Sudeep Dasari, Vikash Kumar
2023	J	`jnl`	MyoDex: A Generalizable Prior for Dexterous Manipulation. CoRR Vittorio Caggiano, Sudeep Dasari, Vikash Kumar
2023	J	`jnl`	Natural and Robust Walking using Reinforcement Learning without Demonstrations in High-Dimensional Musculoskeletal Models. CoRR Pierre Schumacher, Thomas Geijtenbeek, Vittorio Caggiano, Vikash Kumar, Syn Schmitt, Georg Martius, Daniel F. B. Haeufle
2023	Misc	`conf`	REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation. CoRL Zheyuan Hu, Aaron Rovinsky, Jianlan Luo, Vikash Kumar, Abhishek Gupta, Sergey Levine
2023	J	`jnl`	REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation. CoRR Zheyuan Hu, Aaron Rovinsky, Jianlan Luo, Vikash Kumar, Abhishek Gupta, Sergey Levine
2023	A*	`conf`	Real World Offline Reinforcement Learning with Realistic Data Source. ICRA Gaoyue Zhou, Liyiming Ke, Siddhartha S. Srinivasa, Abhinav Gupta, Aravind Rajeswaran, Vikash Kumar
2023	J	`jnl`	RoboAgent: Generalization and Efficiency in Robot Manipulation via Semantic Augmentations and Action Chunking. CoRR Homanga Bharadhwaj, Jay Vakil, Mohit Sharma, Abhinav Gupta, Shubham Tulsiani, Vikash Kumar
2023	A*	`conf`	RoboHive: A Unified Framework for Robot Learning. NeurIPS Vikash Kumar, Rutav M. Shah, Gaoyue Zhou, Vincent Moens, Vittorio Caggiano, Abhishek Gupta, Aravind Rajeswaran
2023	J	`jnl`	RoboHive: A Unified Framework for Robot Learning. CoRR Vikash Kumar, Rutav M. Shah, Gaoyue Zhou, Vincent Moens, Vittorio Caggiano, Jay Vakil, Abhishek Gupta, Aravind Rajeswaran
2023	J	`jnl`	SAR: Generalization of Physiological Agility and Dexterity via Synergistic Action Representation. CoRR Cameron Berg, Vittorio Caggiano, Vikash Kumar
2023	—	`conf`	SAR: Generalization of Physiological Dexterity via Synergistic Action Representation. Robotics: Science and Systems Cameron H. Berg, Vittorio Caggiano, Vikash Kumar
2023	J	`jnl`	Synthetic attack data generation model applying generative adversarial network for intrusion detection. Comput. Secur. Vikash Kumar, Ditipriya Sinha
2023	J	`jnl`	TorchRL: A data-driven decision-making library for PyTorch. CoRR Albert Bou, Matteo Bettini, Sebastian Dittert, Vikash Kumar, Shagun Sodhani, Xiaomeng Yang, Gianni De Fabritiis, Vincent Moens
2023	J	`jnl`	Towards Generalizable Zero-Shot Manipulation via Translating Human Interaction Plans. CoRR Homanga Bharadhwaj, Abhinav Gupta, Vikash Kumar, Shubham Tulsiani
2023	A*	`conf`	VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training. ICLR Yecheng Jason Ma, Shagun Sodhani, Dinesh Jayaraman, Osbert Bastani, Vikash Kumar, Amy Zhang
2023	J	`jnl`	Visual dexterity: In-hand reorientation of novel and complex object shapes. Sci. Robotics Tao Chen, Megha Tippur, Siyang Wu, Vikash Kumar, Edward H. Adelson, Pulkit Agrawal
2023	J	`jnl`	WCGAN-GP based synthetic attack data generation with GA based feature selection for IDS. Comput. Secur. Arpita Srivastava, Ditipriya Sinha, Vikash Kumar
2023	J	`jnl`	Zero-Shot Robot Manipulation from Passive Human Videos. CoRR Homanga Bharadhwaj, Abhinav Gupta, Shubham Tulsiani, Vikash Kumar
2022	J	`jnl`	All the Feels: A dexterous hand with large area sensing. CoRR Raunaq M. Bhirangi, Abigail DeFranco, Jacob Adkins, Carmel Majidi, Abhinav Gupta, Tess Lee Hellebrekers, Vikash Kumar
2022	J	`jnl`	An AI-Based Nonparametric Filter Approach for Gearbox Fault Diagnosis. IEEE Trans. Instrum. Meas. Vikash Kumar, Subrata Mukherjee, Alok Kumar Verma, Somnath Sarangi
2022	C	`conf`	An integrated approach of Genetic Algorithm and Machine Learning for generation of Worst-Case Data for Real-Time Systems. DS-RT Vikash Kumar
2022	J	`jnl`	CACTI: A Framework for Scalable Multi-Task Multi-Scene Visual Imitation Learning. CoRR Zhao Mandi, Homanga Bharadhwaj, Vincent Moens, Shuran Song, Aravind Rajeswaran, Vikash Kumar
2022	—	`conf`	Can Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation? L4DC Yuchen Cui, Scott Niekum, Abhinav Gupta, Vikash Kumar, Aravind Rajeswaran
2022	J	`jnl`	Can Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation? CoRR Yuchen Cui, Scott Niekum, Abhinav Gupta, Vikash Kumar, Aravind Rajeswaran
2022	J	`jnl`	CoNMix for Source-free Single and Multi-target Domain Adaptation. CoRR Vikash Kumar, Rohit Lal, Himanshu Patil, Anirban Chakraborty
2022	J	`jnl`	Computational insights into differential interaction of mammalian angiotensin-converting enzyme 2 with the SARS-CoV-2 spike receptor binding domain. Comput. Biol. Medicine Cecylia S. Lupala, Vikash Kumar, Xiao-dong Su, Chun Wu, Haiguang Liu
2022	Misc	`conf`	Cross-Domain Transfer via Semantic Skill Imitation. CoRL Karl Pertsch, Ruta Desai, Vikash Kumar, Franziska Meier, Joseph J. Lim, Dhruv Batra, Akshara Rai
2022	J	`jnl`	Cross-Domain Transfer via Semantic Skill Imitation. CoRR Karl Pertsch, Ruta Desai, Vikash Kumar, Franziska Meier, Joseph J. Lim, Dhruv Batra, Akshara Rai
2022	J	`jnl`	Curiosity Driven Self-supervised Tactile Exploration of Unknown Objects. CoRR Yujie Lu, Jianren Wang, Vikash Kumar
2022	A	`conf`	Data-Aware Cache Management for Graph Analytics. DATE Neelam Sharma, Varun Venkitaraman, Newton, Vikash Kumar, Shubham Singhania, Chandan Kumar Jha
2022	J	`jnl`	Dexterous Manipulation from Images: Autonomous Real-World RL via Substep Guidance. CoRR Kelvin Xu, Zheyuan Hu, Ria Doshi, Aaron Rovinsky, Vikash Kumar, Abhishek Gupta, Sergey Levine
2022	—	`conf`	Estimation of an Early WCET Using Different Machine Learning Approaches. 3PGCIC Vikash Kumar
2022	J	`jnl`	Hybrid Approach Using Deep Autoencoder and Machine Learning Techniques for Cyber-Attack Detection. Int. J. Ambient Comput. Intell. Vikash Kumar, Ditipriya Sinha
2022	J	`jnl`	Learning Dexterous Manipulation from Exemplar Object Trajectories and Pre-Grasps. CoRR Sudeep Dasari, Abhinav Gupta, Vikash Kumar
2022	J	`jnl`	MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations. CoRR Nicklas Hansen, Yixin Lin, Hao Su, Xiaolong Wang, Vikash Kumar, Aravind Rajeswaran
2022	A*	`conf`	MyoSim: Fast and physiologically realistic MuJoCo models for musculoskeletal and exoskeletal studies. ICRA Huawei Wang, Vittorio Caggiano, Guillaume Durandau, Massimo Sartori, Vikash Kumar
2022	J	`jnl`	MyoSuite - A contact-rich simulation suite for musculoskeletal motor control. CoRR Vittorio Caggiano, Huawei Wang, Guillaume Durandau, Massimo Sartori, Vikash Kumar
2022	—	`conf`	MyoSuite: A Contact-rich Simulation Suite for Musculoskeletal Motor Control. L4DC Vittorio Caggiano, Huawei Wang, Guillaume Durandau, Massimo Sartori, Vikash Kumar
2022	J	`jnl`	Policy Architectures for Compositional Generalization in Control. CoRR Allan Zhou, Vikash Kumar, Chelsea Finn, Aravind Rajeswaran
2022	Misc	`conf`	R3M: A Universal Visual Representation for Robot Manipulation. CoRL Suraj Nair, Aravind Rajeswaran, Vikash Kumar, Chelsea Finn, Abhinav Gupta
2022	J	`jnl`	R3M: A Universal Visual Representation for Robot Manipulation. CoRR Suraj Nair, Aravind Rajeswaran, Vikash Kumar, Chelsea Finn, Abhinav Gupta
2022	J	`jnl`	RB2: Robotic Manipulation Benchmarking with a Twist. CoRR 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
2022	—	`conf`	RNCE: A New Image Segmentation Approach. CVMI Vikash Kumar, Asfak Ali, Sheli Sinha Chaudhuri
2022	J	`jnl`	Real World Offline Reinforcement Learning with Realistic Data Source. CoRR Gaoyue Zhou, Liyiming Ke, Siddhartha S. Srinivasa, Abhinav Gupta, Aravind Rajeswaran, Vikash Kumar
2022	A*	`conf`	Translating Robot Skills: Learning Unsupervised Skill Correspondences Across Robots. ICML Tanmay Shankar, Yixin Lin, Aravind Rajeswaran, Vikash Kumar, Stuart Anderson, Jean Oh
2022	J	`jnl`	VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training. CoRR Yecheng Jason Ma, Shagun Sodhani, Dinesh Jayaraman, Osbert Bastani, Vikash Kumar, Amy Zhang
2022	J	`jnl`	Visual Dexterity: In-hand Dexterous Manipulation from Depth. CoRR Tao Chen, Megha Tippur, Siyang Wu, Vikash Kumar, Edward H. Adelson, Pulkit Agrawal
2021	—	`conf`	CAFT: Class Aware Frequency Transform for Reducing Domain Gap. ICCVW Vikash Kumar, Sarthak Srivastava, Rohit Lal, Anirban Chakraborty
2021	J	`jnl`	Deep Neural Network Approach to Estimate Early Worst-Case Execution Time. CoRR Vikash Kumar
2021	J	`jnl`	Drug repurposing against SARS-CoV-2 receptor binding domain using ensemble-based virtual screening and molecular dynamics simulations. Comput. Biol. Medicine Vikash Kumar, Haiguang Liu, Chun Wu
2021	—	`conf`	MyoChallenge 2022: Learning contact-rich manipulation using a musculoskeletal hand. NeurIPS (Competition and Demos) Vittorio Caggiano, Guillaume Durandau, Huawei Wang, Alberto Silvio Chiappa, Alexander Mathis, Pablo Tano, Nisheet Patel, Alexandre Pouget, Pierre Schumacher, Georg Martius, Daniel F. B. 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
2021	—	`conf`	RB2: Robotic Manipulation Benchmarking with a Twist. NeurIPS Datasets and Benchmarks 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
2021	A*	`conf`	RRL: Resnet as representation for Reinforcement Learning. ICML Rutav M. Shah, Vikash Kumar
2021	J	`jnl`	RRL: Resnet as representation for Reinforcement Learning. CoRR Rutav M. Shah, Vikash Kumar
2021	A*	`conf`	Reset-Free Reinforcement Learning via Multi-Task Learning: Learning Dexterous Manipulation Behaviors without Human Intervention. ICRA Abhishek Gupta, Justin Yu, Tony Z. Zhao, Vikash Kumar, Aaron Rovinsky, Kelvin Xu, Thomas Devlin, Sergey Levine
2021	J	`jnl`	Reset-Free Reinforcement Learning via Multi-Task Learning: Learning Dexterous Manipulation Behaviors without Human Intervention. CoRR Abhishek Gupta, Justin Yu, Tony Z. Zhao, Vikash Kumar, Aaron Rovinsky, Kelvin Xu, Thomas Devlin, Sergey Levine
2021	J	`jnl`	UIDS: a unified intrusion detection system for IoT environment. Evol. Intell. Vikash Kumar, Ayan Kumar Das, Ditipriya Sinha
2020	A*	`conf`	A Game Theoretic Framework for Model Based Reinforcement Learning. ICML Aravind Rajeswaran, Igor Mordatch, Vikash Kumar
2020	J	`jnl`	A Game Theoretic Framework for Model Based Reinforcement Learning. CoRR Aravind Rajeswaran, Igor Mordatch, Vikash Kumar
2020	J	`jnl`	An integrated rule based intrusion detection system: analysis on UNSW-NB15 data set and the real time online dataset. Clust. Comput. Vikash Kumar, Ditipriya Sinha, Ayan Kumar Das, Subhash Chandra Pandey, Radha Tamal Goswami
2020	J	`jnl`	Benchmarking In-Hand Manipulation. CoRR Silvia Cruciani, Balakumar Sundaralingam, Kaiyu Hang, Vikash Kumar, Tucker Hermans, Danica Kragic
2020	J	`jnl`	Benchmarking In-Hand Manipulation. IEEE Robotics Autom. Lett. Silvia Cruciani, Balakumar Sundaralingam, Kaiyu Hang, Vikash Kumar, Tucker Hermans, Danica Kragic
2020	J	`jnl`	Computational Design of Biologically Active Anticancer Peptides and Their Interactions with Heterogeneous POPC/POPS Lipid Membranes. J. Chem. Inf. Model. Maninder Singh, Vikash Kumar, Kamakshi Sikka, Ravi Thakur, Munesh Kumar Harioudh, Durga Prasad Mishra, Jimut Kanti Ghosh, Mohammad Imran Siddiqi
2020	—	`conf`	Cyber Attack Detection Framework for Cloud Computing. FICTA (2) Suryakant Badde, Vikash Kumar, Kakali Chatterjee, Ditipriya Sinha
2020	A*	`conf`	Dynamics-Aware Unsupervised Discovery of Skills. ICLR Archit Sharma, Shixiang Gu, Sergey Levine, Vikash Kumar, Karol Hausman
2020	J	`jnl`	Effects of convergent-divergent vortex finders on the performance of cyclone separators using computational fluid dynamics simulations. Simul. Vikash Kumar, Kailash Jha
2020	—	`conf`	Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning. Robotics: Science and Systems Archit Sharma, Michael Ahn, Sergey Levine, Vikash Kumar, Karol Hausman, Shixiang Gu
2020	J	`jnl`	Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning. CoRR Archit Sharma, Michael Ahn, Sergey Levine, Vikash Kumar, Karol Hausman, Shixiang Gu
2020	J	`jnl`	GDP Release from the Open Conformation of Gα Requires Allosteric Signaling from the Agonist-Bound Human β2 Adrenergic Receptor. J. Chem. Inf. Model. Vikash Kumar, Hannah Hoag, Safaa Sader, Nicolas Scorese, Haiguang Liu, Chun Wu
2020	A*	`conf`	TRASS: Time Reversal as Self-Supervision. ICRA Suraj Nair, Mohammad Babaeizadeh, Chelsea Finn, Sergey Levine, Vikash Kumar
2020	A*	`conf`	The Ingredients of Real World Robotic Reinforcement Learning. ICLR Henry Zhu, Justin Yu, Abhishek Gupta, Dhruv Shah, Kristian Hartikainen, Avi Singh, Vikash Kumar, Sergey Levine
2020	J	`jnl`	The Ingredients of Real-World Robotic Reinforcement Learning. CoRR Henry Zhu, Justin Yu, Abhishek Gupta, Dhruv Shah, Kristian Hartikainen, Avi Singh, Vikash Kumar, Sergey Levine
2019	Misc	`conf`	Deep Dynamics Models for Learning Dexterous Manipulation. CoRL Anusha Nagabandi, Kurt Konolige, Sergey Levine, Vikash Kumar
2019	J	`jnl`	Deep Dynamics Models for Learning Dexterous Manipulation. CoRR Anusha Nagabandi, Kurt Konolige, Sergey Levine, Vikash Kumar
2019	—	`conf`	Design of Current Mode Sigmoid Function and Hyperbolic Tangent Function. VDAT Debanjana Datta, Sweta Agarwal, Vikash Kumar, Mayank Raj, Baidyanath Ray, Ayan Banerjee
2019	A*	`conf`	Dexterous Manipulation with Deep Reinforcement Learning: Efficient, General, and Low-Cost. ICRA Henry Zhu, Abhishek Gupta, Aravind Rajeswaran, Sergey Levine, Vikash Kumar
2019	J	`jnl`	Dynamics-Aware Unsupervised Discovery of Skills. CoRR Archit Sharma, Shixiang Gu, Sergey Levine, Vikash Kumar, Karol Hausman
2019	A*	`conf`	Learning Deep Visuomotor Policies for Dexterous Hand Manipulation. ICRA Divye Jain, Andrew Li, Shivam Singhal, Aravind Rajeswaran, Vikash Kumar, Emanuel Todorov
2019	Misc	`conf`	Learning Latent Plans from Play. CoRL Corey Lynch, Mohi Khansari, Ted Xiao, Vikash Kumar, Jonathan Tompson, Sergey Levine, Pierre Sermanet
2019	J	`jnl`	Learning Latent Plans from Play. CoRR Corey Lynch, Mohi Khansari, Ted Xiao, Vikash Kumar, Jonathan Tompson, Sergey Levine, Pierre Sermanet
2019	Misc	`conf`	Multi-Agent Manipulation via Locomotion using Hierarchical Sim2Real. CoRL Ofir Nachum, Michael Ahn, Hugo Ponte, Shixiang Shane Gu, Vikash Kumar
2019	J	`jnl`	Multi-Agent Manipulation via Locomotion using Hierarchical Sim2Real. CoRR Ofir Nachum, Michael Ahn, Hugo Ponte, Shixiang Gu, Vikash Kumar
2019	Misc	`conf`	ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots. CoRL Michael Ahn, Henry Zhu, Kristian Hartikainen, Hugo Ponte, Abhishek Gupta, Sergey Levine, Vikash Kumar
2019	J	`jnl`	ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots. CoRR Michael Ahn, Henry Zhu, Kristian Hartikainen, Hugo Ponte, Abhishek Gupta, Sergey Levine, Vikash Kumar
2019	Misc	`conf`	Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning. CoRL Abhishek Gupta, Vikash Kumar, Corey Lynch, Sergey Levine, Karol Hausman
2019	J	`jnl`	Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning. CoRR Abhishek Gupta, Vikash Kumar, Corey Lynch, Sergey Levine, Karol Hausman
2018	J	`jnl`	Dexterous Manipulation with Deep Reinforcement Learning: Efficient, General, and Low-Cost. CoRR Henry Zhu, Abhishek Gupta, Aravind Rajeswaran, Sergey Levine, Vikash Kumar
2018	—	`conf`	Divide-and-Conquer Reinforcement Learning. ICLR (Poster) Dibya Ghosh, Avi Singh, Aravind Rajeswaran, Vikash Kumar, Sergey Levine
2018	A	`conf`	Domain Randomization and Generative Models for Robotic Grasping. IROS Josh Tobin, Lukas Biewald, Rocky Duan, Marcin Andrychowicz, Ankur Handa, Vikash Kumar, Bob McGrew, Alex Ray, Jonas Schneider, Peter Welinder, Wojciech Zaremba, Pieter Abbeel
2018	—	`conf`	Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations. Robotics: Science and Systems Aravind Rajeswaran, Vikash Kumar, Abhishek Gupta, Giulia Vezzani, John Schulman, Emanuel Todorov, Sergey Levine
2018	J	`jnl`	Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research. CoRR Matthias Plappert, Marcin Andrychowicz, Alex Ray, Bob McGrew, Bowen Baker, Glenn Powell, Jonas Schneider, Josh Tobin, Maciek Chociej, Peter Welinder, Vikash Kumar, Wojciech Zaremba
2018	J	`jnl`	Reliable and Q-Enhanced Floating Active Inductors and Their Application in RF Bandpass Filters. IEEE Access Rishab Mehra, Vikash Kumar, Aminul Islam
2018	J	`jnl`	Soft Actor-Critic Algorithms and Applications. CoRR Tuomas Haarnoja, Aurick Zhou, Kristian Hartikainen, George Tucker, Sehoon Ha, Jie Tan, Vikash Kumar, Henry Zhu, Abhishek Gupta, Pieter Abbeel, Sergey Levine
2018	J	`jnl`	Time Reversal as Self-Supervision. CoRR Suraj Nair, Mohammad Babaeizadeh, Chelsea Finn, Sergey Levine, Vikash Kumar
2018	—	`conf`	Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines. ICLR Cathy Wu, Aravind Rajeswaran, Yan Duan, Vikash Kumar, Alexandre M. Bayen, Sham M. Kakade, Igor Mordatch, Pieter Abbeel
2018	J	`jnl`	Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines. CoRR Cathy Wu, Aravind Rajeswaran, Yan Duan, Vikash Kumar, Alexandre M. Bayen, Sham M. Kakade, Igor Mordatch, Pieter Abbeel
2017	J	`jnl`	Divide-and-Conquer Reinforcement Learning. CoRR Dibya Ghosh, Avi Singh, Aravind Rajeswaran, Vikash Kumar, Sergey Levine
2017	J	`jnl`	Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations. CoRR Aravind Rajeswaran, Vikash Kumar, Abhishek Gupta, John Schulman, Emanuel Todorov, Sergey Levine
2017	—	`—`	Manipulators and Manipulation in high dimensional spaces Vikash Kumar
2017	J	`jnl`	Pneumatic Modelling for Adroit Manipulation Platform. CoRR Vikash Kumar, Visak CV
2017	—	`conf`	Usage Analysis of Mobile Devices. ITQM Aman Kr. Singh, Ashish Kr. Prajapati, Vikash Kumar, Subhankar Mishra
2017	J	`jnl`	Variation-aware widely tunable nanoscale design of CMOS active inductor-based RF bandpass filter. Int. J. Circuit Theory Appl. Rishab Mehra, Vikash Kumar, Aminul Islam, Brajesh Kumar Kaushik
2016	J	`jnl`	Learning Dexterous Manipulation Policies from Experience and Imitation. CoRR Vikash Kumar, Abhishek Gupta, Emanuel Todorov, Sergey Levine
2016	A*	`conf`	Optimal control with learned local models: Application to dexterous manipulation. ICRA Vikash Kumar, Emanuel Todorov, Sergey Levine
2016	—	`conf`	Sheathless and high throughput sorting of paramagnetic microparticles in a magneto-hydrodynamic microfluidic device. EMBC Vikash Kumar, Pouya Rezai
2015	—	`conf`	A force-controlled portrait drawing robot. ICIT Shubham Jain, Prashant Gupta, Vikash Kumar, Kamal Sharma
2015	—	`conf`	MuJoCo HAPTIX: A virtual reality system for hand manipulation. Humanoids Vikash Kumar, Emanuel Todorov
2014	J	`jnl`	Identification of novel inhibitors of human Chk1 using pharmacophore-based virtual screening and their evaluation as potential anti-cancer agents. J. Comput. Aided Mol. Des. Vikash Kumar, Saman Khan, Priyanka Gupta, Namrata Rastogi, Durga Prasad Mishra, Shakil Ahmed, Mohammad Imran Siddiqi
2014	J	`jnl`	On the application of Big Data in future large-scale intelligent Smart City installations. Int. J. Pervasive Comput. Commun. Sylva Girtelschmid, Matthias Steinbauer, Vikash Kumar, Anna Fensel, Gabriele Kotsis
2014	A*	`conf`	Real-time behaviour synthesis for dynamic hand-manipulation. ICRA Vikash Kumar, Yuval Tassa, Tom Erez, Emanuel Todorov
2014	—	`conf`	SmarT INsiGhts (STING) - An Intelligence Application for Querying Heterogeneous Databases. ESWC (Satellite Events) Vikash Kumar, Ganesh Selvaraj, Andy Shin, Paulo C. M. Gottgtroy
2014	—	`conf`	Wi-Pi: Distributed Wi-Fi Performance Assessment using Raspberry Pi. AINTEC Deepak Bhardwaj, Kotaro Kataoka, Vikash Kumar
2013	C	`conf`	Big Data in Large Scale Intelligent Smart City Installations. iiWAS Sylva Girtelschmid, Matthias Steinbauer, Vikash Kumar, Anna Fensel, Gabriele Kotsis
2013	C	`conf`	Context Based Adaptation of Semantic Rules in Smart Buildings. iiWAS Vikash Kumar, Anna Fensel, Peter Fröhlich
2013	A*	`conf`	Fast, strong and compliant pneumatic actuation for dexterous tendon-driven hands. ICRA Vikash Kumar, Zhe Xu, Emanuel Todorov
2013	—	`conf`	On the development of a partial update multichannel nonlinear active noise control system. ICSPCS Nithin V. George, Ganapati Panda, Vikash Kumar
2013	—	`conf`	Rule Based Preferential Context Sharing in Location Aware Mobile Advertising. MobiWIS Vikash Kumar, Joachim Zeiss, Marco Happenhofer
2013	J	`jnl`	SESAME-S: Semantic Smart Home System for Energy Efficiency. Inform. Spektrum Anna Fensel, Slobodanka Tomic, Vikash Kumar, Milan Stefanovic, Sergey V. Aleshin, Dmitry O. Novikov
2013	—	`conf`	STAC: Simultaneous tracking and calibration. Humanoids Tingfan Wu, Yuval Tassa, Vikash Kumar, Javier R. Movellan, Emanuel Todorov
2012	B	`conf`	A Semantic Policy Sharing Infrastructure for Pervasive Communities. ESWC Vikash Kumar
2012	—	`conf`	A semantic policy sharing and adaptation infrastructure for pervasive communities. WWW (Companion Volume) Vikash Kumar
2012	—	`conf`	Semantic Policy-Based Data Management for Energy Efficient Smart Buildings. OTM Workshops Vikash Kumar, Anna Fensel, Goran Lazendic, Ulrich Lehner
2009	—	`conf`	Towards Interactive Question Answering: An Ontology-Based Approach. ICSC Bernardo Magnini, Manuela Speranza, Vikash Kumar
2002	J	`jnl`	A MRF model-based segmentation approach to classification for multispectral imagery. IEEE Trans. Geosci. Remote. Sens. Anjan Sarkar, Manoj Kumar Biswas, B. Kartikeyan, Vikash Kumar, Kantilal L. Majumder, D. K. Pal