Biswadip Dey

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Amit ChakrabortyHead, Predictive Analytics, Siemens Corporation, Corporate TechnologyE-mail confirmado em siemens.com
Yaofeng Desmond ZhongFounding Research Scientist, Breakpoint AIE-mail confirmado em princeton.edu
Kayhan OzcimderAssociate Research Scholar, Princeton UniversityE-mail confirmado em princeton.edu
Naomi LeonardProfessor of Mechanical and Aerospace Engineering, Princeton UniversityE-mail confirmado em princeton.edu
Jonathan D. CohenProfessor of NeuroscienceE-mail confirmado em princeton.edu
Sebastian MusslickAssistant Professor (Research) & Schmidt Science Fellow, Brown UniversityE-mail confirmado em brown.edu
James CrallUniversity of Wisconsin-MadisonE-mail confirmado em wisc.edu
Ashlee N. Ford VersyptAssociate Professor, Department of Chemical & Biological Engineering, University at Buffalo, SUNYE-mail confirmado em buffalo.edu
Theodore WillkeDataStaxE-mail confirmado em datastax.com
Benjamin de BivortProfessor, Organismic and Evolutionary Biology, Harvard UniversityE-mail confirmado em oeb.harvard.edu
Kevin GallowayAssociate Professor, United States Naval AcademyE-mail confirmado em usna.edu
Elizabeth DavisonE-mail confirmado em princeton.edu
Nesreen K. AhmedPrincipal Scientist, Cisco AI Research, Intel Labs, Purdue UniversityE-mail confirmado em cisco.com
Giovanni PetriProfessor, Network Science Institute, Northeastern University LondonE-mail confirmado em nulondon.ac.uk
Zahra AminzareAssociate Professor of Mathematics, University of IowaE-mail confirmado em uiowa.edu
Naomi PierceHessel Professor of Biology, Harvard UniversityE-mail confirmado em oeb.harvard.edu
Stacey A. CombesProfessor, U.C. DavisE-mail confirmado em ucdavis.edu
Claire GuérinScientific Programmer, University of GroningenE-mail confirmado em evobio.eu
Arindam DasguptaSiemens TechnologyE-mail confirmado em siemens.com
Haoran SuMachine Learning@TikTok, Ph.D.@NYUE-mail confirmado em nyu.edu

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Biswadip Dey

Senior Key Expert, Siemens Technology

E-mail confirmado em siemens.com - Página inicial

Physics-informed AI Scientific ML Machine Learning Dynamical Systems Optimal Control


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Symplectic ODE-Net: Learning Hamiltonian Dynamics with Control YD Zhong, B Dey, A Chakraborty International Conference on Learning Representations (ICLR), 2020	325	2020
Neonicotinoid exposure disrupts bumblebee nest behavior, social networks, and thermoregulation JD Crall, CM Switzer, RL Oppenheimer, AN Ford Versypt, B Dey, A Brown, ... Science 362 (6415), 683-686, 2018	274	2018
Multitasking Capability Versus Learning Efficiency in Neural Network Architectures S Musslick, AM Saxe, K Ozcimder, B Dey, G Henselman, JD Cohen 39th Annual Meeting of the Cognitive Science Society, 829-834, 2017	94	2017
Dissipative SymODEN: Encoding Hamiltonian Dynamics with Dissipation and Control into Deep Learning YD Zhong, B Dey, A Chakraborty International Conference on Learning Representations (ICLR), DeepDiffeq Workshop, 2020	89	2020
Controlled vs. Automatic Processing: A Graph-Theoretic Approach to the Analysis of Serial vs. Parallel Processing in Neural Network Architectures S Musslick, B Dey, K Ozcimder, M Patwary, TL Willke, JD Cohen 38th Annual Meeting of the Cognitive Science Society, 1547-1552, 2016	71	2016
Benchmarking energy-conserving neural networks for learning dynamics from data YD Zhong, B Dey, A Chakraborty Learning for dynamics and control, 1218-1229, 2021	57	2021
A Conditional Generative Model for Predicting Material Microstructures from Processing Methods A Iyer, B Dey, A Dasgupta, W Chen, A Chakraborty Conference on Neural Information Processing Systems (NeurIPS), Machine …, 2019	46	2019
Extending lagrangian and hamiltonian neural networks with differentiable contact models YD Zhong, B Dey, A Chakraborty Advances in Neural Information Processing Systems 34, 21910-21922, 2021	45*	2021
Physics-informed machine learning for modeling and control of dynamical systems TX Nghiem, J Drgoňa, C Jones, Z Nagy, R Schwan, B Dey, A Chakrabarty, ... 2023 American Control Conference (ACC), 3735-3750, 2023	44	2023
EMVLight: A multi-agent reinforcement learning framework for an emergency vehicle decentralized routing and traffic signal control system H Su, YD Zhong, JYJ Chow, B Dey, L Jin Transportation Research Part C: Emerging Technologies 146, 103955, 2023	44	2023
Mixed mode oscillations and phase locking in coupled FitzHugh-Nagumo model neurons EN Davison, Z Aminzare, B Dey, N Ehrich Leonard Chaos: An Interdisciplinary Journal of Nonlinear Science 29 (3), 2019	41	2019
Physics-informed neural networks for modeling rate-and temperature-dependent plasticity R Arora, P Kakkar, B Dey, A Chakraborty Conference on Neural Information Processing Systems (NeurIPS), Machine …, 2022	38	2022
Social buffering of pesticides in bumblebees: agent-based modeling of the effects of colony size and neonicotinoid exposure on behavior within nests JD Crall, BL De Bivort, B Dey, AN Ford Versypt Frontiers in Ecology and Evolution 7, 51, 2019	37	2019
Cluster synchronization of diffusively-coupled nonlinear systems: A contraction based approach Z Aminzare, B Dey, EN Davison, NE Leonard Journal of Nonlinear Science, 1-23, 2018	33	2018
Bistability and resurgent epidemics in reinfection models R Pagliara, B Dey, NE Leonard IEEE Control Systems Letters 2 (2), 290-295, 2018	31	2018
Topological limits to the parallel processing capability of network architectures G Petri, S Musslick, B Dey, K Özcimder, D Turner, NK Ahmed, TL Willke, ... Nature Physics 17 (5), 646-651, 2021	29*	2021
Investigating group behavior in dance: an evolutionary dynamics approach K Ozcimder, B Dey, RJ Lazier, D Trueman, NE Leonard American Control Conference (ACC), 2016, 6465-6470, 2016	23	2016
Trajectory smoothing as a linear optimal control problem B Dey, PS Krishnaprasad Annual Allerton Conference on Communication, Control, and Computing …, 2012	22	2012
Stabilizing a Flexible Beam on a Cart: A Distributed Port-Hamiltonian Approach R Banavar, B Dey Journal of Nonlinear Science 20 (2), 131-151, 2010	22	2010
Stabilizing a flexible beam on a cart: A distributed port Hamiltonian approach RN Banavar, B Dey European Control Conference (ECC), 300 - 305, 2009	22	2009

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