Devesh Upadhyay

45 papers A* 1C 6Misc 1Journal 29Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SEED-SET: Scalable Evolving Experimental Design for System-level Ethical Testing. CoRR Anjali Parashar, Yingke Li, Eric Yang Yu, Fei Chen, James Neidhoefer, Devesh Upadhyay, Chuchu Fan
2025	J	`jnl`	Deep Koopman Learning using Noisy Data. Trans. Mach. Learn. Res. Wenjian Hao, Devesh Upadhyay, Shaoshuai Mou
2025	J	`jnl`	Targeted Collapse Regularized Autoencoder for Anomaly Detection: Black Hole at the Center. IEEE Trans. Neural Networks Learn. Syst. Amin Ghafourian, Huanyi Shui, Devesh Upadhyay, Rajesh Gupta, Dimitar P. Filev, Iman Soltani
2025	J	`jnl`	Transfer Learning for Anomaly Detection in Rotating Machinery Using Data-Driven Key Order Estimation. IEEE Trans Autom. Sci. Eng. Jia Liang, Huanyi Shui, Rajesh Gupta, Devesh Upadhyay, Eric Darve
2024	J	`jnl`	A Distributed Deep Koopman Learning Algorithm for Control. CoRR Wenjian Hao, Zehui Lu, Devesh Upadhyay, Shaoshuai Mou
2024	J	`jnl`	C3D: Cascade Control with Change Point Detection and Deep Koopman Learning for Autonomous Surface Vehicles. CoRR Jianwen Li, Hyunsang Park, Wenjian Hao, Lei Xin, Jalil Chavez-Galaviz, Ajinkya Chaudhary, Meredith Bloss, Kyle Pattison, Christopher Vo, Devesh Upadhyay, Shreyas Sundaram, Shaoshuai Mou, Nina Mahmoudian
2024	J	`jnl`	Communication-Efficient Multimodal Federated Learning: Joint Modality and Client Selection. CoRR Liangqi Yuan, Dong-Jun Han, Su Wang, Devesh Upadhyay, Christopher G. Brinton
2024	J	`jnl`	Deep Koopman Learning using the Noisy Data. CoRR Wenjian Hao, Devesh Upadhyay, Shaoshuai Mou
2024	C	`conf`	Deep Koopman-Based Control of Quality Variation in Multistage Manufacturing Systems. ACC Zhiyi Chen, Harshal Maske, Devesh Upadhyay, Huanyi Shui, Xun Huan, Jun Ni
2024	J	`jnl`	Deep Koopman-based Control of Quality Variation in Multistage Manufacturing Systems. CoRR Zhiyi Chen, Harshal Maske, Devesh Upadhyay, Huanyi Shui, Xun Huan, Jun Ni
2024	—	`conf`	Development and Deployment of Reinforcement Learning based Control for Large Scale Decision-Making in Manufacturing: A Case Study. CDC Harshal Maske, Devesh Upadhyay, Shuyu Long
2024	A*	`conf`	Efficient Motion Planning for Manipulators with Control Barrier Function-Induced Neural Controller. ICRA Mingxin Yu, Chenning Yu, M.-Mahdi Naddaf-Sh, Devesh Upadhyay, Sicun Gao, Chuchu Fan
2024	J	`jnl`	Efficient Motion Planning for Manipulators with Control Barrier Function-Induced Neural Controller. CoRR Mingxin Yu, Chenning Yu, M.-Mahdi Naddaf-Sh, Devesh Upadhyay, Sicun Gao, Chuchu Fan
2024	J	`jnl`	Inherent Diverse Redundant Safety Mechanisms for AI-based Software Elements in Automotive Applications. CoRR Mandar Pitale, Alireza Abbaspour, Devesh Upadhyay
2023	J	`jnl`	A Novel Two-level Causal Inference Framework for On-road Vehicle Quality Issues Diagnosis. CoRR Qian Wang, Huanyi Shui, Thi Tu Trinh Tran, Milad Zafar Nezhad, Devesh Upadhyay, Kamran Paynabar, Anqi He
2023	Misc	`conf`	Cross Modality Knowledge Distillation for Robust Pedestrian Detection in Low Light and Adverse Weather Conditions. ICASSP Mazin Hnewa, Alireza Rahimpour, Justin Miller, Devesh Upadhyay, Hayder Radha
2023	J	`jnl`	Deep Bayesian-Assisted Keypoint Detection for Pose Estimation in Assembly Automation. Sensors Debo Shi, Alireza Rahimpour, Amin Ghafourian, Mohammad Mahdi Naddaf Shargh, Devesh Upadhyay, Ty A. Lasky, Iman Soltani
2023	C	`conf`	Deer in the headlights: FIR-based Future Trajectory Prediction in Nighttime Autonomous Driving. IV Alireza Rahimpour, Navid Fallahinia, Devesh Upadhyay, Justin Miller
2023	J	`jnl`	FIR-based Future Trajectory Prediction in Nighttime Autonomous Driving. CoRR Alireza Rahimpour, Navid Fallahinia, Devesh Upadhyay, Justin Miller
2023	J	`jnl`	Model Monitoring and Robustness of In-Use Machine Learning Models: Quantifying Data Distribution Shifts Using Population Stability Index. CoRR Aria Khademi, Michael Hopka, Devesh Upadhyay
2023	—	`conf`	Robust Multiview Multimodal Driver Monitoring System Using Masked Multi-Head Self-Attention. CVPR Workshops Yiming Ma, Victor Sanchez, Soodeh Nikan, Devesh Upadhyay, Bhushan Atote, Tanaya Guha
2023	J	`jnl`	Robust Multiview Multimodal Driver Monitoring System Using Masked Multi-Head Self-Attention. CoRR Yiming Ma, Victor Sanchez, Soodeh Nikan, Devesh Upadhyay, Bhushan Atote, Tanaya Guha
2023	J	`jnl`	Stochastic Deep Koopman Model for Quality Propagation Analysis in Multistage Manufacturing Systems. CoRR Zhiyi Chen, Harshal Maske, Huanyi Shui, Devesh Upadhyay, Michael Hopka, Joseph Cohen, Xingjian Lai, Xun Huan, Jun Ni
2023	J	`jnl`	Targeted collapse regularized autoencoder for anomaly detection: black hole at the center. CoRR Amin Ghafourian, Huanyi Shui, Devesh Upadhyay, Rajesh Gupta, Dimitar P. Filev, Iman Soltani Bozchalooi
2023	—	`conf`	Using simulation to quantify the performance of automotive perception systems. Autonomous Vehicles and Machines Zhenyi Liu, Devesh Shah, Alireza Rahimpour, Devesh Upadhyay, Joyce E. Farrell, Brian A. Wandell
2023	J	`jnl`	Using simulation to quantify the performance of automotive perception systems. CoRR Zhenyi Liu, Devesh Shah, Alireza Rahimpour, Devesh Upadhyay, Joyce E. Farrell, Brian A. Wandell
2022	J	`jnl`	A Survey on Evaluation Metrics for Synthetic Material Micro-Structure Images from Generative Models. CoRR Devesh Shah, Anirudh Suresh, Alemayehu Admasu, Devesh Upadhyay, Kalyanmoy Deb
2022	—	`conf`	Appearance-Based Gaze Estimation for Driver Monitoring. Gaze Meets ML Soodeh Nikan, Devesh Upadhyay
2022	J	`jnl`	BTranspose: Bottleneck Transformers for Human Pose Estimation with Self-Supervised Pre-Training. CoRR Kaushik Balakrishnan, Devesh Upadhyay
2022	C	`conf`	On-Board Traffic Prediction for Connected Vehicles: Implementation and Experiments on Highways. ACC Tamás G. Molnár, Xunbi A. Ji, Sanghoon Oh, Dénes Takács, Michael Hopka, Devesh Upadhyay, Michiel Van Nieuwstadt, Gábor Orosz
2022	J	`jnl`	Real-Time Driver Monitoring Systems through Modality and View Analysis. CoRR Yiming Ma, Victor Sanchez, Soodeh Nikan, Devesh Upadhyay, Bhushan Atote, Tanaya Guha
2022	J	`jnl`	Towards Accurate and Robust Classification in Continuously Transitioning Industrial Sprays with Mixup. CoRR Hongjiang Li, Huanyi Shui, Alemayehu Admasu, Praveen Narayanan, Devesh Upadhyay
2022	J	`jnl`	Virtual Rings on Highways: Traffic Control by Connected Automated Vehicles. CoRR Tamás G. Molnár, Michael Hopka, Devesh Upadhyay, Michiel Van Nieuwstadt, Gábor Orosz
2021	J	`jnl`	NeuralPDE: Automating Physics-Informed Neural Networks (PINNs) with Error Approximations. CoRR Kirill Zubov, Zoe McCarthy, Yingbo Ma, Francesco Calisto, Valerio Pagliarino, Simone Azeglio, Luca Bottero, Emmanuel Luján, Valentin Sulzer, Ashutosh Bharambe, Nand Vinchhi, Kaushik Balakrishnan, Devesh Upadhyay, Christopher Rackauckas
2021	J	`jnl`	Stochastic Adversarial Koopman Model for Dynamical Systems. CoRR Kaushik Balakrishnan, Devesh Upadhyay
2020	J	`jnl`	Deep Adversarial Koopman Model for Reaction-Diffusion systems. CoRR Kaushik Balakrishnan, Devesh Upadhyay
2020	—	`conf`	Open and closed loop traffic control by connected automated vehicles. CDC Tamás G. Molnár, Devesh Upadhyay, Michael Hopka, Michiel Van Nieuwstadt, Gábor Orosz
2019	—	`conf`	Lagrangian Models for Controlling Large-Scale Heterogeneous Traffic. CDC Tamás G. Molnár, Devesh Upadhyay, Michael Hopka, Michiel Van Nieuwstadt, Gábor Orosz
2019	J	`jnl`	Special issue on Internet of Things (IoT) for in-vehicle systems. Eng. Appl. Artif. Intell. Shih-Chia Huang, Jenq-Neng Hwang, Sy-Yen Kuo, Alécio P. D. Binotto, Devesh Upadhyay, Patrick C. K. Hung
2017	C	`conf`	A stochastic dynamic programming approach to selective catalytic reduction control. ACC Cory Hendrickson, Devesh Upadhyay, Michiel Van Nieuwstadt
2017	—	`conf`	Linear quadratic air-path control for diesel engines with regenerative and assisted turbocharger. CDC Tao Zeng, Devesh Upadhyay, Guoming Zhu
2016	—	`conf`	A physics-based control-oriented model for compressor mass flow rate. CDC Kang Song, Devesh Upadhyay, Harold Sun, Hui Xie, Guoming Zhu
2016	C	`conf`	Physics-based turbine power models for a Variable Geometry Turbocharger. ACC Tao Zeng, Devesh Upadhyay, Harold Sun, Guoming G. Zhu
2010	J	`jnl`	Control Design of Electrically Assisted Boosting Systems for Diesel Powertrain Applications. IEEE Trans. Control. Syst. Technol. Bradley Charles Glenn, Devesh Upadhyay, Gregory N. Washington
2004	C	`conf`	Modeling, identification and state estimation of diesel engine torque and NOx dynamics in response to fuel quantity and timing excitations. ACC Avra Brahma, Devesh Upadhyay, Andrea Serrani, Giorgio Rizzoni