Amit Chakraborty

Orcid: 0000-0002-6068-6708

According to our database1, Amit Chakraborty authored at least 63 papers between 1994 and 2024.

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Bibliography

2024
Optimal allocation of distribution generation sources with sustainable energy management in radial distribution networks using metaheuristic algorithm.
Comput. Electr. Eng., 2024

2023
An Operator Learning Framework for Spatiotemporal Super-resolution of Scientific Simulations.
CoRR, 2023

RANS-PINN based Simulation Surrogates for Predicting Turbulent Flows.
CoRR, 2023

Real-time monitoring of wind turbine performance using IoT technology to prevent potential disruptions.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

2022
A Neural ODE Interpretation of Transformer Layers.
CoRR, 2022

Demystifying the Data Need of ML-surrogates for CFD Simulations.
CoRR, 2022

Physics-informed neural networks for modeling rate- and temperature-dependent plasticity.
CoRR, 2022

Organ classification Using Quantum Convolution Network.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022

Accelerated Algorithms for a Class of Optimization Problems with Constraints.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

On Using Hamiltonian Monte Carlo Sampling for RL.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

EMVLight: A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles.
CoRR, 2021

A Differentiable Contact Model to Extend Lagrangian and Hamiltonian Neural Networks for Modeling Hybrid Dynamics.
CoRR, 2021

Extending Lagrangian and Hamiltonian Neural Networks with Differentiable Contact Models.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Benchmarking Energy-Conserving Neural Networks for Learning Dynamics from Data.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

2020
Hamiltonian Q-Learning: Leveraging Importance-sampling for Data Efficient RL.
CoRR, 2020

Frequency-compensated PINNs for Fluid-dynamic Design Problems.
CoRR, 2020

Dissipative SymODEN: Encoding Hamiltonian Dynamics with Dissipation and Control into Deep Learning.
CoRR, 2020

Symplectic ODE-Net: Learning Hamiltonian Dynamics with Control.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
A Conditional Generative Model for Predicting Material Microstructures from Processing Methods.
CoRR, 2019

InverseNet: Solving Inverse Problems of Multimedia Data with Splitting Networks.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

2018
Image Processing and Image Pattern Recognition a Programming Tutorial.
Proceedings of the First International Conference on Artificial Intelligence for Industries, 2018

2017
InverseNet: Solving Inverse Problems with Splitting Networks.
CoRR, 2017

An approach towards greening the digital display system.
Proceedings of the 4th International Conference on Networking, Systems and Security, 2017

Service-Hub: A better approach for developing the system of online marketing for daily services.
Proceedings of the 4th International Conference on Networking, Systems and Security, 2017

2016
Proximal gradient method for huberized support vector machine.
Pattern Anal. Appl., 2016

Deep Convolutional Factor Analyser for Multivariate Time Series Modeling.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Towards Making an Anonymous and One-Stop Online Reporting System for Third-World Countries.
Proceedings of the 7th Annual Symposium on Computing for Development, 2016

2015
Model Predictive Control of Central Chiller Plant With Thermal Energy Storage Via Dynamic Programming and Mixed-Integer Linear Programming.
IEEE Trans Autom. Sci. Eng., 2015

Alternating Direction Method of Multipliers for Regularized Multiclass Support Vector Machines.
Proceedings of the Machine Learning, Optimization, and Big Data, 2015

2014
Adaptive Control for Regulation of a Quadratic Function of the State.
IEEE Trans. Autom. Control., 2014

Influence of time delay and nonlinear diffusion on herbivore outbreak.
Commun. Nonlinear Sci. Numer. Simul., 2014

HIPAD - A Hybrid Interior-Point Alternating Direction Algorithm for Knowledge-Based SVM and Feature Selection.
Proceedings of the Learning and Intelligent Optimization, 2014

2013
Detecting SOQL-injection vulnerabilities in SalesForce applications.
Proceedings of the International Conference on Advances in Computing, 2013

Optimal scheduling of chiller plant with thermal energy storage using mixed integer linear programming.
Proceedings of the American Control Conference, 2013

2012
ERD-MedLDA: Entity relation detection using supervised topic models with maximum margin learning.
Nat. Lang. Eng., 2012

Necessary and sufficient conditions for observability in power systems.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference, 2012

Topology identification in distribution network with limited measurements.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference, 2012

On global solution to a class of smart building-grid energy management models.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Modeling and optimization of a combined cooling, heating and power plant system.
Proceedings of the American Control Conference, 2012

2011
A Combination of Topic Models with Max-margin Learning for Relation Detection.
Proceedings of the 2011 Workshop on Graph-based Methods for Natural Language Processing, 2011

2010
Robust estimation of multivariate jump-diffusion processes via Dynamic Programming.
Proceedings of the 2010 Winter Simulation Conference, 2010

Chiller plant optimization - an integrated optimization approach for chiller sequencing and control.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2008
An efficient algorithm for compressed MR imaging using total variation and wavelets.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

On-Line Monotonic Fault Diagnostics via Recursive Constrained Quadratic Programming.
Proceedings of the 2008 International Conferences on Computational Intelligence for Modelling, 2008

2007
Performance of UWB Receiver with Cognitive Channel Allocation and Rake Optimization.
Proceedings of the 2nd International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications, 2007

2005
Background correction for cDNA microarray images using the TV+<i>L</i><sup>1</sup> model.
Bioinform., 2005

An Automatic Molecular Diagnosis Approach Based on Boosting Classification for ALS disease.
Proceedings of The 2005 International Conference on Mathematics and Engineering Techniques in Medicine and Biological Sciences, 2005

Diagnosis and Biomarker Identi.cation on SELDI proteomics data by ADTBoost.
Proceedings of the Fourth International IEEE Computer Society Computational Systems Bioinformatics Conference Workshops & Poster Abstracts, 2005

Fractal Clustering for Microarray Data Analysis.
Proceedings of the Fourth International IEEE Computer Society Computational Systems Bioinformatics Conference Workshops & Poster Abstracts, 2005

2003
Extracting anchorable information units from PDF files.
Proceedings of the 2003 IEEE International Conference on Multimedia and Expo, 2003

2002
Towards automating the generation of SCORM-based multimedia product training manuals.
Proceedings of the 2002 IEEE International Conference on Multimedia and Expo, 2002

2001
Path Predicate Calculus: Towards a Logic Formalism for Multimedia XML Query Languages.
Markup Lang., 2001

A fast method for identifying graphical objects in large engineering drawings.
Proceedings of the 2001 International Conference on Image Processing, 2001

A Logic Approach for MPEG-7 XML Document Queries.
Proceedings of the Extreme Markup Languages® 2001 Conference, 2001

1999
Game-Theoretic Integration for Image Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., 1999

Authoring and Viewing Video Documents Using an SGML Structure.
Proceedings of the IEEE International Conference on Multimedia Computing and Systems, 1999

1997
An Integrated Approach for Locating Neuroanatomical Structure from MRI.
Int. J. Pattern Recognit. Artif. Intell., 1997

1996
Deformable boundary finding in medical images by integrating gradient and region information.
IEEE Trans. Medical Imaging, 1996

Segmentation of ovarian follicles using geometric properties, texture descriptions, and boundary information.
Proceedings of the Medical Imaging 1996: Image Processing, 1996

1995
On Multi-Feature Integration for Deformable Boundary Finding.
Proceedings of the Procedings of the Fifth International Conference on Computer Vision (ICCV 95), 1995

A Unified Framework to Assess Myocardial Function from 4D Images.
Proceedings of the Computer Vision, 1995

1994
Deformable boundary finding influenced by region homogeneity.
Proceedings of the Conference on Computer Vision and Pattern Recognition, 1994


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