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ORCIDVikash Kumar
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2023
[j18]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: 106786 (2023)- [j17]Vikash Kumar, Ditipriya Sinha:
Synthetic attack data generation model applying generative adversarial network for intrusion detection. Comput. Secur. 125: 103054 (2023) - [c51]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: 243-251 - [c50]Vikash Kumar, Rohit Lal, Himanshu Patil, Anirban Chakraborty:
CoNMix for Source-free Single and Multi-target Domain Adaptation. WACV 2023: 4167-4177 - [i42]Homanga Bharadhwaj, Abhinav Gupta, Shubham Tulsiani, Vikash Kumar:
Zero-Shot Robot Manipulation from Passive Human Videos. CoRR abs/2302.02011 (2023) - [i41]Zoey Qiuyu Chen, Sho Kiami, Abhishek Gupta, Vikash Kumar:
GenAug: Retargeting behaviors to unseen situations via Generative Augmentation. CoRR abs/2302.06671 (2023) - [i40]Tony Z. Zhao, Vikash Kumar, Sergey Levine, Chelsea Finn:
Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware. CoRR abs/2304.13705 (2023) - [i39]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 abs/2304.13916 (2023) - 2022
- [j16]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: 105017 (2022) - [j15]Vikash Kumar, Ditipriya Sinha:
Hybrid Approach Using Deep Autoencoder and Machine Learning Techniques for Cyber-Attack Detection. Int. J. Ambient Comput. Intell. 13(1): 1-21 (2022) - [j14]Vikash Kumar, Subrata Mukherjee, Alok Kumar Verma, Somnath Sarangi:
An AI-Based Nonparametric Filter Approach for Gearbox Fault Diagnosis. IEEE Trans. Instrum. Meas. 71: 1-11 (2022) - [c49]Vikash Kumar:
Estimation of an Early WCET Using Different Machine Learning Approaches. 3PGCIC 2022: 297-307 - [c48]Karl Pertsch, Ruta Desai, Vikash Kumar, Franziska Meier, Joseph J. Lim, Dhruv Batra, Akshara Rai:
Cross-Domain Transfer via Semantic Skill Imitation. CoRL 2022: 690-700 - [c47]Suraj Nair, Aravind Rajeswaran, Vikash Kumar, Chelsea Finn, Abhinav Gupta:
R3M: A Universal Visual Representation for Robot Manipulation. CoRL 2022: 892-909 - [c46]Neelam Sharma, Varun Venkitaraman, Newton, Vikash Kumar, Shubham Singhania, Chandan Kumar Jha:
Data-Aware Cache Management for Graph Analytics. DATE 2022: 843-848 - [c45]Vikash Kumar:
An integrated approach of Genetic Algorithm and Machine Learning for generation of Worst-Case Data for Real-Time Systems. DS-RT 2022: 87-95 - [c44]Tanmay Shankar, Yixin Lin, Aravind Rajeswaran, Vikash Kumar, Stuart Anderson, Jean Oh:
Translating Robot Skills: Learning Unsupervised Skill Correspondences Across Robots. ICML 2022: 19626-19644 - [c43]Huawei Wang, Vittorio Caggiano, Guillaume Durandau, Massimo Sartori, Vikash Kumar:
MyoSim: Fast and physiologically realistic MuJoCo models for musculoskeletal and exoskeletal studies. ICRA 2022: 8104-8111 - [c42]Vittorio Caggiano, Huawei Wang, Guillaume Durandau, Massimo Sartori, Vikash Kumar:
MyoSuite: A Contact-rich Simulation Suite for Musculoskeletal Motor Control. L4DC 2022: 492-507 - [c41]Yuchen Cui, Scott Niekum, Abhinav Gupta, Vikash Kumar, Aravind Rajeswaran:
Can Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation? L4DC 2022: 893-905 - [i38]Allan Zhou, Vikash Kumar, Chelsea Finn, Aravind Rajeswaran:
Policy Architectures for Compositional Generalization in Control. CoRR abs/2203.05960 (2022) - [i37]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 abs/2203.08098 (2022) - [i36]Suraj Nair, Aravind Rajeswaran, Vikash Kumar, Chelsea Finn, Abhinav Gupta:
R3M: A Universal Visual Representation for Robot Manipulation. CoRR abs/2203.12601 (2022) - [i35]Yujie Lu, Jianren Wang, Vikash Kumar:
Curiosity Driven Self-supervised Tactile Exploration of Unknown Objects. CoRR abs/2204.00035 (2022) - [i34]Yuchen Cui, Scott Niekum, Abhinav Gupta, Vikash Kumar, Aravind Rajeswaran:
Can Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation? CoRR abs/2204.11134 (2022) - [i33]Vittorio Caggiano, Huawei Wang, Guillaume Durandau, Massimo Sartori, Vikash Kumar:
MyoSuite - A contact-rich simulation suite for musculoskeletal motor control. CoRR abs/2205.13600 (2022) - [i32]Sudeep Dasari, Abhinav Gupta, Vikash Kumar:
Learning Dexterous Manipulation from Exemplar Object Trajectories and Pre-Grasps. CoRR abs/2209.11221 (2022) - [i31]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 abs/2210.00030 (2022) - [i30]Gaoyue Zhou, Liyiming Ke, Siddhartha S. Srinivasa, Abhinav Gupta, Aravind Rajeswaran, Vikash Kumar:
Real World Offline Reinforcement Learning with Realistic Data Source. CoRR abs/2210.06479 (2022) - [i29]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 abs/2210.15658 (2022) - [i28]Vikash Kumar, Rohit Lal, Himanshu Patil, Anirban Chakraborty:
CoNMix for Source-free Single and Multi-target Domain Adaptation. CoRR abs/2211.03876 (2022) - [i27]Tao Chen, Megha Tippur, Siyang Wu, Vikash Kumar, Edward H. Adelson, Pulkit Agrawal:
Visual Dexterity: In-hand Dexterous Manipulation from Depth. CoRR abs/2211.11744 (2022) - [i26]Nicklas Hansen, Yixin Lin, Hao Su, Xiaolong Wang, Vikash Kumar, Aravind Rajeswaran:
MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations. CoRR abs/2212.05698 (2022) - [i25]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 abs/2212.05711 (2022) - [i24]Karl Pertsch, Ruta Desai, Vikash Kumar, Franziska Meier, Joseph J. Lim, Dhruv Batra, Akshara Rai:
Cross-Domain Transfer via Semantic Skill Imitation. CoRR abs/2212.07407 (2022) - [i23]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 abs/2212.09902 (2022) - 2021
- [j13]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: 104634 (2021) - [j12]Vikash Kumar, Ayan Kumar Das, Ditipriya Sinha:
UIDS: a unified intrusion detection system for IoT environment. Evol. Intell. 14(1): 47-59 (2021) - [c40]Vikash Kumar, Sarthak Srivastava, Rohit Lal, Anirban Chakraborty:
CAFT: Class Aware Frequency Transform for Reducing Domain Gap. ICCVW 2021: 2525-2534 - [c39]Rutav M. Shah, Vikash Kumar:
RRL: Resnet as representation for Reinforcement Learning. ICML 2021: 9465-9476 - [c38]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: 6664-6671 - [c37]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 - [i22]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 abs/2104.11203 (2021) - [i21]Rutav M. Shah, Vikash Kumar:
RRL: Resnet as representation for Reinforcement Learning. CoRR abs/2107.03380 (2021) - [i20]Vikash Kumar:
Deep Neural Network Approach to Estimate Early Worst-Case Execution Time. CoRR abs/2108.02001 (2021) - 2020
- [j11]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): 1397-1418 (2020) - [j10]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): 332-341 (2020) - [j9]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): 4064-4075 (2020) - [j8]Silvia Cruciani, Balakumar Sundaralingam, Kaiyu Hang, Vikash Kumar, Tucker Hermans, Danica Kragic:
Benchmarking In-Hand Manipulation. IEEE Robotics Autom. Lett. 5(2): 588-595 (2020) - [j7]Vikash Kumar, Kailash Jha:
Effects of convergent-divergent vortex finders on the performance of cyclone separators using computational fluid dynamics simulations. Simul. 96(1) (2020) - [c36]Suryakant Badde, Vikash Kumar, Kakali Chatterjee, Ditipriya Sinha:
Cyber Attack Detection Framework for Cloud Computing. FICTA (2) 2020: 243-254 - [c35]Archit Sharma, Shixiang Gu, Sergey Levine, Vikash Kumar, Karol Hausman:
Dynamics-Aware Unsupervised Discovery of Skills. ICLR 2020 - [c34]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 - [c33]Aravind Rajeswaran, Igor Mordatch, Vikash Kumar:
A Game Theoretic Framework for Model Based Reinforcement Learning. ICML 2020: 7953-7963 - [c32]Suraj Nair, Mohammad Babaeizadeh, Chelsea Finn, Sergey Levine, Vikash Kumar:
TRASS: Time Reversal as Self-Supervision. ICRA 2020: 115-121 - [c31]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 - [i19]Silvia Cruciani, Balakumar Sundaralingam, Kaiyu Hang, Vikash Kumar, Tucker Hermans, Danica Kragic:
Benchmarking In-Hand Manipulation. CoRR abs/2001.03070 (2020) - [i18]Aravind Rajeswaran, Igor Mordatch, Vikash Kumar:
A Game Theoretic Framework for Model Based Reinforcement Learning. CoRR abs/2004.07804 (2020) - [i17]Henry Zhu, Justin Yu, Abhishek Gupta, Dhruv Shah, Kristian Hartikainen, Avi Singh, Vikash Kumar, Sergey Levine:
The Ingredients of Real-World Robotic Reinforcement Learning. CoRR abs/2004.12570 (2020) - [i16]Archit Sharma, Michael Ahn, Sergey Levine, Vikash Kumar, Karol Hausman, Shixiang Gu:
Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning. CoRR abs/2004.12974 (2020)
2010 – 2019
- 2019
- [c30]Ofir Nachum, Michael Ahn, Hugo Ponte, Shixiang Shane Gu, Vikash Kumar:
Multi-Agent Manipulation via Locomotion using Hierarchical Sim2Real. CoRL 2019: 110-121 - [c29]Abhishek Gupta, Vikash Kumar, Corey Lynch, Sergey Levine, Karol Hausman:
Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning. CoRL 2019: 1025-1037 - [c28]Anusha Nagabandi, Kurt Konolige, Sergey Levine, Vikash Kumar:
Deep Dynamics Models for Learning Dexterous Manipulation. CoRL 2019: 1101-1112 - [c27]Corey Lynch, Mohi Khansari, Ted Xiao, Vikash Kumar, Jonathan Tompson, Sergey Levine, Pierre Sermanet:
Learning Latent Plans from Play. CoRL 2019: 1113-1132 - [c26]Michael Ahn, Henry Zhu, Kristian Hartikainen, Hugo Ponte, Abhishek Gupta, Sergey Levine, Vikash Kumar:
ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots. CoRL 2019: 1300-1313 - [c25]Divye Jain, Andrew Li, Shivam Singhal, Aravind Rajeswaran, Vikash Kumar, Emanuel Todorov:
Learning Deep Visuomotor Policies for Dexterous Hand Manipulation. ICRA 2019: 3636-3643 - [c24]Henry Zhu, Abhishek Gupta, Aravind Rajeswaran, Sergey Levine, Vikash Kumar:
Dexterous Manipulation with Deep Reinforcement Learning: Efficient, General, and Low-Cost. ICRA 2019: 3651-3657 - [c23]Debanjana Datta, Sweta Agarwal, Vikash Kumar, Mayank Raj, Baidyanath Ray, Ayan Banerjee:
Design of Current Mode Sigmoid Function and Hyperbolic Tangent Function. VDAT 2019: 47-60 - [i15]Corey Lynch, Mohi Khansari, Ted Xiao, Vikash Kumar, Jonathan Tompson, Sergey Levine, Pierre Sermanet:
Learning Latent Plans from Play. CoRR abs/1903.01973 (2019) - [i14]Archit Sharma, Shixiang Gu, Sergey Levine, Vikash Kumar, Karol Hausman:
Dynamics-Aware Unsupervised Discovery of Skills. CoRR abs/1907.01657 (2019) - [i13]Ofir Nachum, Michael Ahn, Hugo Ponte, Shixiang Gu, Vikash Kumar:
Multi-Agent Manipulation via Locomotion using Hierarchical Sim2Real. CoRR abs/1908.05224 (2019) - [i12]Michael Ahn, Henry Zhu, Kristian Hartikainen, Hugo Ponte, Abhishek Gupta, Sergey Levine, Vikash Kumar:
ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots. CoRR abs/1909.11639 (2019) - [i11]Anusha Nagabandi, Kurt Konolige, Sergey Levine, Vikash Kumar:
Deep Dynamics Models for Learning Dexterous Manipulation. CoRR abs/1909.11652 (2019) - [i10]Abhishek Gupta, Vikash Kumar, Corey Lynch, Sergey Levine, Karol Hausman:
Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning. CoRR abs/1910.11956 (2019) - 2018
- [j6]Rishab Mehra, Vikash Kumar, Aminul Islam:
Reliable and Q-Enhanced Floating Active Inductors and Their Application in RF Bandpass Filters. IEEE Access 6: 48181-48194 (2018) - [c22]Dibya Ghosh, Avi Singh, Aravind Rajeswaran, Vikash Kumar, Sergey Levine:
Divide-and-Conquer Reinforcement Learning. ICLR (Poster) 2018 - [c21]Cathy Wu, Aravind Rajeswaran, Yan Duan, Vikash Kumar, Alexandre M. Bayen, Sham M. Kakade, Igor Mordatch, Pieter Abbeel:
Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines. ICLR 2018 - [c20]Josh Tobin, Lukas Biewald, Rocky Duan, Marcin Andrychowicz, Ankur Handa, Vikash Kumar, Bob McGrew, Alex Ray, Jonas Schneider, Peter Welinder, Wojciech Zaremba, Pieter Abbeel:
Domain Randomization and Generative Models for Robotic Grasping. IROS 2018: 3482-3489 - [c19]Aravind Rajeswaran, Vikash Kumar, Abhishek Gupta, Giulia Vezzani, John Schulman, Emanuel Todorov, Sergey Levine:
Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations. Robotics: Science and Systems 2018 - [i9]Matthias Plappert, Marcin Andrychowicz, Alex Ray, Bob McGrew, Bowen Baker, Glenn Powell, Jonas Schneider, Josh Tobin, Maciek Chociej, Peter Welinder, Vikash Kumar, Wojciech Zaremba:
Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research. CoRR abs/1802.09464 (2018) - [i8]Cathy Wu, Aravind Rajeswaran, Yan Duan, Vikash Kumar, Alexandre M. Bayen, Sham M. Kakade, Igor Mordatch, Pieter Abbeel:
Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines. CoRR abs/1803.07246 (2018) - [i7]Suraj Nair, Mohammad Babaeizadeh, Chelsea Finn, Sergey Levine, Vikash Kumar:
Time Reversal as Self-Supervision. CoRR abs/1810.01128 (2018) - [i6]Henry Zhu, Abhishek Gupta, Aravind Rajeswaran, Sergey Levine, Vikash Kumar:
Dexterous Manipulation with Deep Reinforcement Learning: Efficient, General, and Low-Cost. CoRR abs/1810.06045 (2018) - [i5]Tuomas Haarnoja, Aurick Zhou, Kristian Hartikainen, George Tucker, Sehoon Ha, Jie Tan, Vikash Kumar, Henry Zhu, Abhishek Gupta, Pieter Abbeel, Sergey Levine:
Soft Actor-Critic Algorithms and Applications. CoRR abs/1812.05905 (2018) - 2017
- [j5]Rishab Mehra, Vikash Kumar, Aminul Islam, Brajesh Kumar Kaushik:
Variation-aware widely tunable nanoscale design of CMOS active inductor-based RF bandpass filter. Int. J. Circuit Theory Appl. 45(12): 2181-2200 (2017) - [c18]Aman Kr. Singh, Ashish Kr. Prajapati, Vikash Kumar, Subhankar Mishra:
Usage Analysis of Mobile Devices. ITQM 2017: 657-662 - [i4]Vikash Kumar, Visak CV:
Pneumatic Modelling for Adroit Manipulation Platform. CoRR abs/1703.01653 (2017) - [i3]Aravind Rajeswaran, Vikash Kumar, Abhishek Gupta, John Schulman, Emanuel Todorov, Sergey Levine:
Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations. CoRR abs/1709.10087 (2017) - [i2]Dibya Ghosh, Avi Singh, Aravind Rajeswaran, Vikash Kumar, Sergey Levine:
Divide-and-Conquer Reinforcement Learning. CoRR abs/1711.09874 (2017) - 2016
- [c17]Vikash Kumar, Pouya Rezai:
Sheathless and high throughput sorting of paramagnetic microparticles in a magneto-hydrodynamic microfluidic device. EMBC 2016: 473-476 - [c16]Vikash Kumar, Emanuel Todorov, Sergey Levine:
Optimal control with learned local models: Application to dexterous manipulation. ICRA 2016: 378-383 - [i1]Vikash Kumar, Abhishek Gupta, Emanuel Todorov, Sergey Levine:
Learning Dexterous Manipulation Policies from Experience and Imitation. CoRR abs/1611.05095 (2016) - 2015
- [c15]Vikash Kumar, Emanuel Todorov:
MuJoCo HAPTIX: A virtual reality system for hand manipulation. Humanoids 2015: 657-663 - [c14]Shubham Jain, Prashant Gupta, Vikash Kumar, Kamal Sharma:
A force-controlled portrait drawing robot. ICIT 2015: 3160-3165 - 2014
- [j4]Sylva Girtelschmid, Matthias Steinbauer, Vikash Kumar, Anna Fensel, Gabriele Kotsis:
On the application of Big Data in future large-scale intelligent Smart City installations. Int. J. Pervasive Comput. Commun. 10(2): 168-182 (2014) - [j3]Vikash Kumar, Saman Khan, Priyanka Gupta, Namrata Rastogi, Durga Prasad Mishra, Shakil Ahmed, Mohammad Imran Siddiqi:
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. 28(12): 1247-1256 (2014) - [c13]Deepak Bhardwaj, Kotaro Kataoka, Vikash Kumar:
Wi-Pi: Distributed Wi-Fi Performance Assessment using Raspberry Pi. AINTEC 2014: 31 - [c12]Vikash Kumar, Ganesh Selvaraj, Andy Shin, Paulo C. M. Gottgtroy:
SmarT INsiGhts (STING) - An Intelligence Application for Querying Heterogeneous Databases. ESWC (Satellite Events) 2014: 384-388 - [c11]Vikash Kumar, Yuval Tassa, Tom Erez, Emanuel Todorov:
Real-time behaviour synthesis for dynamic hand-manipulation. ICRA 2014: 6808-6815 - 2013
- [j2]Anna Fensel, Slobodanka Tomic, Vikash Kumar, Milan Stefanovic, Sergey V. Aleshin, Dmitry O. Novikov:
SESAME-S: Semantic Smart Home System for Energy Efficiency. Inform. Spektrum 36(1): 46-57 (2013) - [c10]Tingfan Wu, Yuval Tassa, Vikash Kumar, Javier R. Movellan, Emanuel Todorov:
STAC: Simultaneous tracking and calibration. Humanoids 2013: 469-476 - [c9]Vikash Kumar, Zhe Xu, Emanuel Todorov:
Fast, strong and compliant pneumatic actuation for dexterous tendon-driven hands. ICRA 2013: 1512-1519 - [c8]Nithin V. George, Ganapati Panda, Vikash Kumar:
On the development of a partial update multichannel nonlinear active noise control system. ICSPCS 2013: 1-4 - [c7]Sylva Girtelschmid, Matthias Steinbauer, Vikash Kumar, Anna Fensel, Gabriele Kotsis:
Big Data in Large Scale Intelligent Smart City Installations. iiWAS 2013: 428 - [c6]Vikash Kumar, Anna Fensel, Peter Fröhlich:
Context Based Adaptation of Semantic Rules in Smart Buildings. iiWAS 2013: 719 - [c5]Vikash Kumar, Joachim Zeiss, Marco Happenhofer:
Rule Based Preferential Context Sharing in Location Aware Mobile Advertising. MobiWIS 2013: 64-78 - 2012
- [c4]Vikash Kumar:
A Semantic Policy Sharing Infrastructure for Pervasive Communities. ESWC 2012: 859-863 - [c3]Vikash Kumar, Anna Fensel, Goran Lazendic, Ulrich Lehner:
Semantic Policy-Based Data Management for Energy Efficient Smart Buildings. OTM Workshops 2012: 272-281 - [c2]Vikash Kumar:
A semantic policy sharing and adaptation infrastructure for pervasive communities. WWW (Companion Volume) 2012: 155-160
2000 – 2009
- 2009
- [c1]Bernardo Magnini, Manuela Speranza, Vikash Kumar:
Towards Interactive Question Answering: An Ontology-Based Approach. ICSC 2009: 612-617 - 2002
- [j1]Anjan Sarkar, Manoj Kumar Biswas, B. Kartikeyan, Vikash Kumar, Kantilal L. Majumder, D. K. Pal:
A MRF model-based segmentation approach to classification for multispectral imagery. IEEE Trans. Geosci. Remote. Sens. 40(5): 1102-1113 (2002)
Coauthor Index