Daniel Nikovski

ORCID

Publication Activity (10 Years)

Years Active: 1992-2023
Publications (10 Years): 83

Top Venues

Publications

Fabio Amadio, Alberto Dalla Libera, Daniel Nikovski, Ruggero Carli, Diego Romeres
Learning Control from Raw Position Measurements. CoRR (2023)
Seiji Shaw, Devesh K. Jha, Arvind U. Raghunathan, Radu Corcodel, Diego Romeres, George Konidaris, Daniel Nikovski
Constrained Dynamic Movement Primitives for Collision Avoidance in Novel Environments. IROS (2023)
Fabio Amadio, Alberto Dalla Libera, Daniel Nikovski, Ruggero Carli, Diego Romeres
Learning Control from Raw Position Measurements. ACC (2023)
Yinsong Wang, Jing Zhang, Daniel Nikovski, Takuro Kojima
Estimating traffic density using transformer decoders. ANT/EDI40 (2023)
Abhishek Sharma, Jing Zhang, Daniel Nikovski, Finale Doshi-Velez
Travel-time prediction using neural-network-based mixture models. ANT/EDI40 (2023)
Chuizheng Kong, William Yerazunis, Daniel Nikovski
Learning Object Manipulation With Under-Actuated Impulse Generator Arrays. ACC (2023)
Chuizheng Kong, William Yerazunis, Daniel Nikovski
Stochastic Learning Manipulation of Object Pose With Under-Actuated Impulse Generator Arrays. ICMLA (2023)
Anping Zhou, Hongbo Sun, Shoichi Kitamura, Daniel Nikovski
A Decision-Dependent Chance-Constrained Planning Model for Distribution Networks Under Extreme Weather Events. ISGT EUROPE (2023)
Devesh K. Jha, Siddarth Jain, Diego Romeres, William Yerazunis, Daniel Nikovski
Generalizable Human-Robot Collaborative Assembly Using Imitation Learning and Force Control. ECC (2023)
Chuizheng Kong, William Yerazunis, Daniel Nikovski
Learning Object Manipulation With Under-Actuated Impulse Generator Arrays. CoRR (2023)
Devesh K. Jha, Diego Romeres, Siddarth Jain, William Yerazunis, Daniel Nikovski
Design of Adaptive Compliance Controllers for Safe Robotic Assembly. ECC (2023)
Alberto Dalla Libera, Giulio Giacomuzzo, Ruggero Carli, Daniel Nikovski, Diego Romeres
Forward Dynamics Estimation from Data-Driven Inverse Dynamics Learning. CoRR (2023)
Daniel Nikovski, William Yerazunis, Abraham Goldsmith
Model-Based Learning Controller Design for a Furuta Pendulum. CoDIT (2023)
Jing Zhang, Athanasios Tsiligkaridis, Hiroshi Taguchi, Arvind U. Raghunathan, Daniel Nikovski
Transformer Networks for Predictive Group Elevator Control. CoRR (2022)
Seiji Shaw, Devesh K. Jha, Arvind U. Raghunathan, Radu Corcodel, Diego Romeres, George Konidaris, Daniel Nikovski
Constrained Dynamic Movement Primitives for Safe Learning of Motor Skills. CoRR (2022)
Hongbo Sun, Shoichi Kitamura, Daniel Nikovski
Fair Blackout Rotation for Distribution Systems under Extreme Weather Events. ISGT-Europe (2022)
Devesh K. Jha, Diego Romeres, Siddarth Jain, William Yerazunis, Daniel Nikovski
Design of Adaptive Compliance Controllers for Safe Robotic Assembly. CoRR (2022)
Hideyuki Masui, Diego Romeres, Daniel Nikovski
Transfer Learning for Bayesian Optimization with Principal Component Analysis. ICMLA (2022)
Athanasios Tsiligkaridis, Jing Zhang, Ioannis Ch. Paschalidis, Hiroshi Taguchi, Satoko Sakajo, Daniel Nikovski
Context-Aware Destination and Time-To-Destination Prediction Using Machine learning. ISC2 (2022)
Jing Zhang, Athanasios Tsiligkaridis, Hiroshi Taguchi, Arvind U. Raghunathan, Daniel Nikovski
Transformer Networks for Predictive Group Elevator Control. ECC (2022)
Devesh K. Jha, Siddarth Jain, Diego Romeres, William Yerazunis, Daniel Nikovski
Generalizable Human-Robot Collaborative Assembly Using Imitation Learning and Force Control. CoRR (2022)
Fabio Amadio, Alberto Dalla Libera, Riccardo Antonello, Daniel Nikovski, Ruggero Carli, Diego Romeres
Model-Based Policy Search Using Monte Carlo Gradient Estimation With Real Systems Application. IEEE Trans. Robotics 38 (6) (2022)
Takumi Suda, Daniel Nikovski
Deep Reinforcement Learning for Optimal Sailing Upwind. IJCNN (2022)
Devesh K. Jha, Diego Romeres, William Yerazunis, Daniel Nikovski
Imitation and Supervised Learning of Compliance for Robotic Assembly. ECC (2022)
Devesh K. Jha, Diego Romeres, William Yerazunis, Daniel Nikovski
Imitation and Supervised Learning of Compliance for Robotic Assembly. CoRR (2021)
Hongbo Sun, Shunsuke Kawano, Daniel Nikovski, Tomihiro Takano, Kazuyuki Mori
Distribution Fault Location Using Graph Neural Network with Both Node and Link Attributes. ISGT-Europe (2021)
Kei Ota, Devesh K. Jha, Diego Romeres, Jeroen van Baar, Kevin A. Smith, Takayuki Semitsu, Tomoaki Oiki, Alan Sullivan, Daniel Nikovski, Joshua B. Tenenbaum
Data-Efficient Learning for Complex and Real-Time Physical Problem Solving Using Augmented Simulation. IEEE Robotics Autom. Lett. 6 (2) (2021)
Fabio Amadio, Alberto Dalla Libera, Ruggero Carli, Daniel Nikovski, Diego Romeres
Model-based Policy Search for Partially Measurable Systems. CoRR (2021)
Siyuan Dong, Devesh K. Jha, Diego Romeres, Sangwoon Kim, Daniel Nikovski, Alberto Rodriguez
Tactile-RL for Insertion: Generalization to Objects of Unknown Geometry. CoRR (2021)
Siyuan Dong, Devesh K. Jha, Diego Romeres, Sangwoon Kim, Daniel Nikovski, Alberto Rodriguez
Tactile-RL for Insertion: Generalization to Objects of Unknown Geometry. ICRA (2021)
Fabio Amadio, Alberto Dalla Libera, Riccardo Antonello, Daniel Nikovski, Ruggero Carli, Diego Romeres
Model-Based Policy Search Using Monte Carlo Gradient Estimation with Real Systems Application. CoRR (2021)
Alberto Dalla Libera, Fabio Amadio, Daniel Nikovski, Ruggero Carli, Diego Romeres
Control of Mechanical Systems via Feedback Linearization Based on Black-Box Gaussian Process Models. ECC (2021)
Emil Laftchiev, Diego Romeres, Daniel Nikovski
Dynamic Thermal Comfort Optimization for Groups. ACC (2021)
Emil Laftchiev, Diego Romeres, Daniel Nikovski
Personalizing Individual Comfort in the Group Setting. AAAI (2021)
Alberto Dalla Libera, Fabio Amadio, Daniel Nikovski, Ruggero Carli, Diego Romeres
Control of Mechanical Systems via Feedback Linearization Based on Black-Box Gaussian Process Models. CoRR (2021)
Kei Ota, Devesh K. Jha, Tadashi Onishi, Asako Kanezaki, Yusuke Yoshiyasu, Yoko Sasaki, Toshisada Mariyama, Daniel Nikovski
Deep Reactive Planning in Dynamic Environments. CoRR (2020)
Kei Ota, Devesh K. Jha, Tadashi Onishi, Asako Kanezaki, Yusuke Yoshiyasu, Yoko Sasaki, Toshisada Mariyama, Daniel Nikovski
Deep Reactive Planning in Dynamic Environments. CoRL (2020)
Kei Ota, Devesh K. Jha, Diego Romeres, Jeroen van Baar, Kevin A. Smith, Takayuki Semitsu, Tomoaki Oiki, Alan Sullivan, Daniel Nikovski, Joshua B. Tenenbaum
Towards Human-Level Learning of Complex Physical Puzzles. CoRR (2020)
Wenyu Zhang, Devesh K. Jha, Emil Laftchiev, Daniel Nikovski
Multi-label Prediction in Time Series Data using Deep Neural Networks. CoRR (2020)
Alberto Dalla Libera, Diego Romeres, Devesh K. Jha, Bill Yerazunis, Daniel Nikovski
Model-Based Reinforcement Learning for Physical Systems Without Velocity and Acceleration Measurements. CoRR (2020)
Shiva Poudel, Hongbo Sun, Daniel Nikovski, Jinyun Zhang
Distributed Average Consensus Algorithm for Damage Assessment of Power Distribution System. ISGT (2020)
Kei Ota, Tomoaki Oiki, Devesh K. Jha, Toshisada Mariyama, Daniel Nikovski
Can Increasing Input Dimensionality Improve Deep Reinforcement Learning? ICML (2020)
Yifang Liu, Diego Romeres, Devesh K. Jha, Daniel Nikovski
Understanding Multi-Modal Perception Using Behavioral Cloning for Peg-In-a-Hole Insertion Tasks. CoRR (2020)
Alberto Dalla Libera, Diego Romeres, Devesh K. Jha, Bill Yerazunis, Daniel Nikovski
Model-Based Reinforcement Learning for Physical Systems Without Velocity and Acceleration Measurements. IEEE Robotics Autom. Lett. 5 (2) (2020)
Dongliang Xiao, Hongbo Sun, Daniel Nikovski, Shoichi Kitamura, Kazuyuki Mori, Hiroyuki Hashimoto
CVaR-constrained Stochastic Bidding Strategy for a Virtual Power Plant with Mobile Energy Storages. ISGT-Europe (2020)
Kei Ota, Tomoaki Oiki, Devesh K. Jha, Toshisada Mariyama, Daniel Nikovski
Can Increasing Input Dimensionality Improve Deep Reinforcement Learning? CoRR (2020)
Patrik Kolaric, Devesh K. Jha, Arvind U. Raghunathan, Frank L. Lewis, Mouhacine Benosman, Diego Romeres, Daniel Nikovski
Local Policy Optimization for Trajectory-Centric Reinforcement Learning. ICRA (2020)
Patrik Kolaric, Devesh K. Jha, Arvind U. Raghunathan, Frank L. Lewis, Mouhacine Benosman, Diego Romeres, Daniel Nikovski
Local Policy Optimization for Trajectory-Centric Reinforcement Learning. CoRR (2020)
Emil Laftchiev, Qing Yan, Daniel Nikovski
The Missing Input Problem. IEEE BigData (2020)
Tong Huang, Hongbo Sun, Kyeong Jin Kim, Daniel Nikovski, Le Xie
A Holistic Framework for Parameter Coordination of Interconnected Microgrids against Disasters. CoRR (2020)
Athanasios Tsiligkaridis, Jing Zhang, Hiroshi Taguchi, Daniel Nikovski
Personalized Destination Prediction Using Transformers in a Contextless Data Setting. IJCNN (2020)
Jeroen van Baar, Alan Sullivan, Radu Cordorel, Devesh K. Jha, Diego Romeres, Daniel Nikovski
Sim-to-Real Transfer Learning using Robustified Controllers in Robotic Tasks involving Complex Dynamics. ICRA (2019)
Jing Zhang, Daniel Nikovski, Teng-Yok Lee, Tomoya Fujino
Fault Detection and Classification of Time Series Using Localized Matrix Profiles. ICPHM (2019)
Diego Romeres, Devesh K. Jha, Alberto Dalla Libera, Bill Yerazunis, Daniel Nikovski
Semiparametrical Gaussian Processes Learning of Forward Dynamical Models for Navigating in a Circular Maze. ICRA (2019)
Hanchen Xu, Hongbo Sun, Daniel Nikovski, Shoichi Kitamura, Kazuyuki Mori, Hiroyuki Hashimoto
Deep Reinforcement Learning for Joint Bidding and Pricing of Load Serving Entity. IEEE Trans. Smart Grid 10 (6) (2019)
Jonathan Chang, Nishanth Kumar, Sean Hastings, Aaron Gokaslan, Diego Romeres, Devesh K. Jha, Daniel Nikovski, George Dimitri Konidaris, Stefanie Tellex
Learning Deep Parameterized Skills from Demonstration for Re-targetable Visuomotor Control. CoRR (2019)
Ariana Minot, Hongbo Sun, Daniel Nikovski, Jinyun Zhang
Distributed Estimation and Detection of Cyber-Physical Attacks in Power Systems. ICC Workshops (2019)
Diego Romeres, Devesh K. Jha, William Yerazunis, Daniel Nikovski, Hoang Anh Dau
Anomaly Detection for Insertion Tasks in Robotic Assembly Using Gaussian Process Models. ECC (2019)
Kei Ota, Devesh K. Jha, Tomoaki Oiki, Mamoru Miura, Takashi Nammoto, Daniel Nikovski, Toshisada Mariyama
Trajectory Optimization for Unknown Constrained Systems using Reinforcement Learning. IROS (2019)
Kei Ota, Devesh K. Jha, Tomoaki Oiki, Mamoru Miura, Takashi Nammoto, Daniel Nikovski, Toshisada Mariyama
Trajectory Optimization for Unknown Constrained Systems using Reinforcement Learning. CoRR (2019)
Hanchen Xu, Hongbo Sun, Daniel Nikovski, Shoichi Kitamura, Kazuyuki Mori
Learning Dynamical Demand Response Model in Real-Time Pricing Program. ISGT (2019)
Yan Zhu, Makoto Imamura, Daniel Nikovski, Eamonn J. Keogh
Introducing time series chains: a new primitive for time series data mining. Knowl. Inf. Syst. 60 (2) (2019)
Yangchen Pan, Amir-massoud Farahmand, Martha White, Saleh Nabi, Piyush Grover, Daniel Nikovski
Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control. ICML (2018)
Hanchen Xu, Hongbo Sun, Daniel Nikovski, Shoichi Kitamura, Kazuyuki Mori
Learning Dynamical Demand Response Model in Real-Time Pricing Program. CoRR (2018)
Yan Zhu, Makoto Imamura, Daniel Nikovski, Eamonn J. Keogh
Time Series Chains: A Novel Tool for Time Series Data Mining. IJCAI (2018)
Yangchen Pan, Amir-massoud Farahmand, Martha White, Saleh Nabi, Piyush Grover, Daniel Nikovski
Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control. CoRR (2018)
Diego Romeres, Devesh K. Jha, Alberto Dalla Libera, William Yerazunis, Daniel Nikovski
Semiparametrical Gaussian Processes Learning of Forward Dynamical Models for Navigating in a Circular Maze. CoRR (2018)
Emil Laftchiev, Xinmaio Sun, Hoang Anh Dau, Daniel Nikovski
Anomaly Detection in Discrete Manufacturing Systems using Event Relationship Tables. DX (2018)
Jeroen van Baar, Alan Sullivan, Radu Cordorel, Devesh K. Jha, Diego Romeres, Daniel Nikovski
Sim-to-Real Transfer Learning using Robustified Controllers in Robotic Tasks involving Complex Dynamics. CoRR (2018)
Srikumar Ramalingam, Arvind U. Raghunathan, Daniel Nikovski
Submodular Function Maximization for Group Elevator Scheduling. ICAPS (2017)
Amir-massoud Farahmand, Sepideh Pourazarm, Daniel Nikovski
Random Projection Filter Bank for Time Series Data. NIPS (2017)
Yan Zhu, Makoto Imamura, Daniel Nikovski, Eamonn J. Keogh
Matrix Profile VII: Time Series Chains: A New Primitive for Time Series Data Mining (Best Student Paper Award). ICDM (2017)
Hongbo Sun, Yusuke Takaguchi, Daniel Nikovski, Hiroyuki Hashimoto
Three-level co-optimization model for generation scheduling of integrated energy and regulation market. ISGT Asia (2017)
Srikumar Ramalingam, Arvind U. Raghunathan, Daniel Nikovski
Submodular Function Maximization for Group Elevator Scheduling. CoRR (2017)
Devesh K. Jha, Daniel Nikovski, William Yerazunis, Amir-massoud Farahmand
Learning to regulate rolling ball motion. SSCI (2017)
Amir Massoud Farahmand, André Barreto, Daniel Nikovski
Value-Aware Loss Function for Model-based Reinforcement Learning. AISTATS (2017)
Nikita Korolko, Zafer Sahinoglu, Daniel Nikovski
Modeling and Forecasting Self-Similar Power Load Due to EV Fast Chargers. IEEE Trans. Smart Grid 7 (3) (2016)
Daniel Nikovski, Kiran Byadarhaly
Regularized covariance matrix estimation with high dimensional data for supervised anomaly detection problems. IJCNN (2016)
Emil Laftchiev, Daniel Nikovski
An IoT system to estimate personal thermal comfort. WF-IoT (2016)
Amir-massoud Farahmand, Saleh Nabi, Piyush Grover, Daniel Nikovski
Learning to control partial differential equations: Regularized Fitted Q-Iteration approach. CDC (2016)
Hongbo Sun, Ariana Minot, Daniel Nikovski, Hiroyuki Hashimoto, Tomihiro Takano, Yusuke Takaguchi
Mitigating substation demand fluctuations using decoupled price schemes for demand response. ISGT (2016)
Michael Jones, Daniel Nikovski, Makoto Imamura, Takahisa Hirata
Exemplar learning for extremely efficient anomaly detection in real-valued time series. Data Min. Knowl. Discov. 30 (6) (2016)
Jingyang Xu, Daniel Nikovski
A humidity integrated building thermal model. ACC (2016)
Zhao Wang, Hongbo Sun, Daniel Nikovski
Static voltage stability detection using local measurement for microgrids in a power distribution network. CDC (2015)
Zhenyu Tan, Hongbo Sun, Daniel Nikovski, Tomihiro Takano, Yasuhiro Kojima, Tetsufumi Ohno
A generalized admittance based method for fault location analysis of distribution systems. ISGT (2015)
Anamika Dubey, Hongbo Sun, Daniel Nikovski, Tomihiro Takano, Yasuhiro Kojima, Tetsufumi Ohno
Locating double-line-to-ground faults using hybrid current profile approach. ISGT (2015)
Sanujit Sahoo, Daniel Nikovski, Toru Muso, Kaoru Tsuru
Electricity theft detection using smart meter data. ISGT (2015)
Jingyang Xu, Daniel Nikovski, Sae Kimura
A framework for real-time near-optimal train run-curve computation with dynamic travel time and speed limits. ACC (2015)
Yiming Zhao, Yebin Wang, Scott A. Bortoff, Daniel Nikovski
Energy-efficient collision-free trajectory planning using Alternating Quadratic Programming. ACC (2014)
Michael Jones, Yanfeng Geng, Daniel Nikovski, Takahisa Hirata
Predicting link travel times from floating car data. ITSC (2013)
Hongbo Sun, Daniel Nikovski, Tomihiro Takano, Yasuhiro Kojima, Tetsufumi Ohno
Estimating locations of single-phase-to-ground faults of ungrounded distribution systems. ISGT Europe (2013)
Ajit Gopalakrishnan, Arvind U. Raghunathan, Daniel Nikovski, Lorenz T. Biegler
Global optimization of multi-period optimal power flow. ACC (2013)
Daniel Nikovski, Matthew Brand
Marginalizing Out Future Passengers in Group Elevator Control CoRR (2012)
Ajit Gopalakrishnan, Arvind U. Raghunathan, Daniel Nikovski, Lorenz T. Biegler
Global optimization of Optimal Power Flow using a branch & bound algorithm. Allerton Conference (2012)
Daniel Nikovski, Alan Esenther, Xiang Ye, Mitsuteru Shiba, Shigenobu Takayama
Bayesian Networks for Matcher Composition in Automatic Schema Matching. ICEIS (1) (2012)
Daniel Nikovski, Alan Esenther, Xiang Ye, Mitsuteru Shiba, Shigenobu Takayama
Matcher Composition Methods for Automatic Schema Matching. ICEIS (2012)
Hongbo Sun, Daniel Nikovski, Tetsufumi Ohno, Tomihiro Takano, Yasuhiro Kojima
Hybrid three-phase load flow method for ungrounded distribution systems. ISGT Europe (2012)
Daniel Nikovski, Alan Esenther
Construction of embedded Markov decision processes for optimal control of non-linear systems with continuous state spaces. CDC/ECC (2011)
Daniel Nikovski, Ankur Jain
Fast adaptive algorithms for abrupt change detection. Mach. Learn. 79 (3) (2010)
Daniel Nikovski, Ganesan Ramachandran
Memory-Based Modeling of Seasonality for Prediction of Climatic Time Series. MLDM (2009)

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Publication Activity (10 Years)

Top Topics

Top Venues

Daniel Nikovski