Jayant Kalagnanam

According to our database, Jayant Kalagnanam authored at least 88 papers between 1988 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series.

Vijay Ekambaram, Arindam Jati, Nam H. Nguyen, Pankaj Dayama, Chandra Reddy, Wesley M. Gifford, Jayant Kalagnanam

CoRR, 2024

AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data.

Santosh Palaskar, Vijay Ekambaram, Arindam Jati, Neelamadhav Gantayat, Avirup Saha, Seema Nagar, Nam H. Nguyen, Pankaj Dayama, Renuka Sindhgatta, Prateeti Mohapatra, Harshit Kumar, Jayant Kalagnanam, Nandyala Hemachandra, Narayan Rangaraj

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

AutoMixer for Improved Multivariate Time-Series Forecasting on BizITOps Data.

Santosh Palaskar, Vijay Ekambaram, Arindam Jati, Neelamadhav Gantayat, Avirup Saha, Seema Nagar, Nam H. Nguyen, Pankaj Dayama, Renuka Sindhgatta, Prateeti Mohapatra, Harshit Kumar, Jayant Kalagnanam, Nandyala Hemachandra, Narayan Rangaraj

CoRR, 2023

An End-to-End Time Series Model for Simultaneous Imputation and Forecast.

Trang H. Tran, Lam M. Nguyen, Kyongmin Yeo, Nam Nguyen, Dzung T. Phan, Roman Vaculín, Jayant Kalagnanam

CoRR, 2023

TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting.

Vijay Ekambaram, Arindam Jati, Nam Nguyen, Phanwadee Sinthong, Jayant Kalagnanam

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

A Time Series is Worth 64 Words: Long-term Forecasting with Transformers.

Yuqi Nie, Nam H. Nguyen, Phanwadee Sinthong, Jayant Kalagnanam

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Optimal Control via Linearizable Deep Learning.

Vinícius Lima, Dzung T. Phan, Lam M. Nguyen, Jayant Kalagnanam

Proceedings of the American Control Conference, 2023

AI Model Factory: Scaling AI for Industry 4.0 Applications.

Dhaval Patel, Shuxin Lin, Dhruv Shah, Srideepika Jayaraman, Joern Ploennigs, Anuradha Bhamidipati, Jayant Kalagnanam

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

AI-Based Real-Time Site-Wide Optimization for Process Manufacturing.

Jayant Kalagnanam, Dzung T. Phan, Pavankumar Murali, Lam M. Nguyen, Nianjun Zhou, Dharmashankar Subramanian, Raju Pavuluri, Xiang Ma, Crystal Lui, Giovane Cesar Da Silva

INFORMS J. Appl. Anal., 2022

Batched Learning in Generalized Linear Contextual Bandits With General Decision Sets.

Zhimei Ren, Zhengyuan Zhou, Jayant R. Kalagnanam

IEEE Control. Syst. Lett., 2022

Finite-sum smooth optimization with SARAH.

Lam M. Nguyen, Marten van Dijk, Dzung T. Phan, Phuong Ha Nguyen, Tsui-Wei Weng, Jayant R. Kalagnanam

Comput. Optim. Appl., 2022

DSServe - Data Science using Serverless.

Dhaval Patel, Shuxin Lin, Jayant Kalagnanam

Proceedings of the IEEE International Conference on Big Data, 2022

Interpretable Clustering via Multi-Polytope Machines.

Connor Lawless, Jayant Kalagnanam, Lam M. Nguyen, Dzung T. Phan, Chandra Reddy

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

AnomalyKiTS: Anomaly Detection Toolkit for Time Series.

Dhaval Patel, Giridhar Ganapavarapu, Srideepika Jayaraman, Shuxin Lin, Anuradha Bhamidipaty, Jayant Kalagnanam

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Variational Inference Formulation for a Model-Free Simulation of a Dynamical System with Unknown Parameters by a Recurrent Neural Network.

Kyongmin Yeo, Dylan E. C. Grullon, Fan-Keng Sun, Duane S. Boning, Jayant R. Kalagnanam

SIAM J. Sci. Comput., 2021

Optimal decision trees for categorical data via integer programming.

Oktay Günlük, Jayant Kalagnanam, Minhan Li, Matt Menickelly, Katya Scheinberg

J. Glob. Optim., 2021

Math Programming based Reinforcement Learning for Multi-Echelon Inventory Management.

Pavithra Harsha, Ashish Jagmohan, Jayant R. Kalagnanam, Brian Quanz, Divya Singhvi

CoRR, 2021

Asset Modeling using Serverless Computing.

Srideepika Jayaraman, Chandra Reddy, Elham Khabiri, Dhaval Patel, Anuradha Bhamidipaty, Jayant Kalagnanam

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Scaling Anomaly Detection Service Using Serverless Technology.

Dhaval Patel, Shuxin Lin, Srideepika Jayaraman, Giridhar Ganapavarapu, Anuradha Bhamidipaty, Jayant Kalagnanam

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Regression Optimization for System-level Production Control.

Dzung T. Phan, Lam M. Nguyen, Pavankumar Murali, Nhan H. Pham, Hongsheng Liu, Jayant R. Kalagnanam

Proceedings of the 2021 American Control Conference, 2021

2020

Federated Learning's Blessing: FedAvg has Linear Speedup.

Zhaonan Qu, Kaixiang Lin, Jayant Kalagnanam, Zhaojian Li, Jiayu Zhou, Zhengyuan Zhou

CoRR, 2020

A Scalable MIP-based Method for Learning Optimal Multivariate Decision Trees.

Haoran Zhu, Pavankumar Murali, Dzung T. Phan, Lam M. Nguyen, Jayant Kalagnanam

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Pruning Deep Neural Networks with $\ell_{0}$-constrained Optimization.

Dzung T. Phan, Lam M. Nguyen, Nam H. Nguyen, Jayant R. Kalagnanam

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Doctor for Machines: A Failure Pattern Analysis Solution for Industry 4.0.

Dhaval Patel, Nianjun Zhou, Shrey Shrivastava, Jayant Kalagnanam

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

FLOps: On Learning Important Time Series Features for Real-Valued Prediction.

Dhaval Patel, Syed Yousaf Shah, Nianjun Zhou, Shrey Shrivastava, Arun Iyengar, Anuradha Bhamidipaty, Jayant Kalagnanam

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Smart-ML: A System for Machine Learning Model Exploration using Pipeline Graph.

Dhaval Patel, Shrey Shrivastava, Wesley M. Gifford, Stuart Siegel, Jayant Kalagnanam, Chandra Reddy

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Delay-Adaptive Distributed Stochastic Optimization.

Zhaolin Ren, Zhengyuan Zhou, Linhai Qiu, Ajay Deshpande, Jayant Kalagnanam

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Optimal Finite-Sum Smooth Non-Convex Optimization with SARAH.

Lam M. Nguyen, Marten van Dijk, Dzung T. Phan, Phuong Ha Nguyen, Tsui-Wei Weng, Jayant R. Kalagnanam

CoRR, 2019

ThunderML: A Toolkit for Enabling AI/ML Models on Cloud for Industry 4.0.

Shrey Shrivastava, Dhaval Patel, Wesley M. Gifford, Stuart Siegel, Jayant Kalagnanam

Proceedings of the Web Services - ICWS 2019, 2019

A Prediction-Optimization Framework for Site-Wide Process Optimization.

Dharmashankar Subramanian, Pavankumar Murali, Nianjun Zhou, Xiang Ma, Giovane Cesar Da Silva, Raju Pavuluri, Jayant Kalagnanam

Proceedings of the 2019 IEEE International Congress on Internet of Things, 2019

Providing Cooperative Data Analytics for Real Applications Using Machine Learning.

Arun Iyengar, Jayant Kalagnanam, Dhaval Patel, Chandra Reddy, Shrey Shrivastava

Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

DQA: Scalable, Automated and Interactive Data Quality Advisor.

Shrey Shrivastava, Dhaval Patel, Anuradha Bhamidipaty, Wesley M. Gifford, Stuart A. Siegel, Venkata Sitaramagiridharganesh Ganapavarapu, Jayant R. Kalagnanam

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

When Does Stochastic Gradient Algorithm Work Well?

Lam M. Nguyen, Nam H. Nguyen, Dzung T. Phan, Jayant R. Kalagnanam, Katya Scheinberg

CoRR, 2018

Development of a spectral source inverse model by using generalized polynomial chaos.

Kyongmin Yeo, Youngdeok Hwang, Xiao Liu, Jayant Kalagnanam

CoRR, 2018

ChieF: A Change Pattern based Interpretable Failure Analyzer.

Dhaval Patel, Lam M. Nguyen, Akshay Rangamani, Shrey Shrivastava, Jayant Kalagnanam

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

A Novel l0-Constrained Gaussian Graphical Model for Anomaly Localization.

Dzung T. Phan, Tsuyoshi Idé, Jayant Kalagnanam, Matt Menickelly, Katya Scheinberg

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Multi-task Multi-modal Models for Collective Anomaly Detection.

Tsuyoshi Idé, Dzung T. Phan, Jayant Kalagnanam

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016

Optimal Generalized Decision Trees via Integer Programming.

Matt Menickelly, Oktay Günlük, Jayant Kalagnanam, Katya Scheinberg

CoRR, 2016

Change Detection Using Directional Statistics.

Tsuyoshi Idé, Dzung T. Phan, Jayant Kalagnanam

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Sparse Gaussian Markov Random Field Mixtures for Anomaly Detection.

Tsuyoshi Idé, Ankush Khandelwal, Jayant Kalagnanam

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2014

InfoSuggest: A System for Automated Information Gathering: With a Real-World Case Study.

Kiran Kate, Andy Prapanca, Jayant Kalagnanam

Proceedings of the 2014 Annual SRII Global Conference, 2014

Monitoring Food Safety Violation Reports from Internet Forums.

Kiran Kate, Sumit Negi, Jayant Kalagnanam

Proceedings of the e-Health - For Continuity of Care - Proceedings of MIE2014, the 25th European Medical Informatics Conference, Istanbul, Turkey, August 31, 2014

FoodSIS: a text mining system to improve the state of food safety in singapore.

Kiran Kate, Sneha Chaudhari, Andy Prapanca, Jayant Kalagnanam

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013

A Comparison of Decision Analysis and Expert Rules for Sequential Diagnosis

Jayant Kalagnanam, Max Henrion

CoRR, 2013

2012

Managing Data Quality Risk in Accounting Information Systems.

Xue Bai, Manuel A. Nunez, Jayant Kalagnanam

Inf. Syst. Res., 2012

Distributed methods for solving the security-constrained optimal power flow problem.

Dzung T. Phan, Jayant Kalagnanam

Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference, 2012

2011

Analytics-driven asset management.

Arun Hampapur, H. Cao, Andrew J. Davenport, W. S. Dong, Don Fenhagen, Rogério Schmidt Feris, Germán S. Goldszmidt, Z. B. Jiang, Jayant Kalagnanam, Tarun Kumar, H. Li, Xuan Liu, Shilpa Mahatma, Sharath Pankanti, D. Pelleg, W. Sun, M. Taylor, Chunhua Tian, Segev Wasserkrug, Lexing Xie, Mujib Lodhi, C. Kiely, K. Butturff, L. Desjardins

IBM J. Res. Dev., 2011

Modeling and simulation of building energy performance for portfolios of public buildings.

Young M. Lee, Fei Liu, Lianjun An, Huijing Jiang, Chandra Reddy, Raya Horesh, Paul Nevill, Estepan Meliksetian, Pawan Chowdhary, Nat Mills, Young Tae Chae, Jane L. Snowdon, Jayant Kalagnanam, Joe Emberson, Al Paskevicous, Elliott Jeyaseelan, Robert Forest, Chris Cuthbert, Tony Cupido, Michael Bobker, Janine Belfast

Proceedings of the Winter Simulation Conference 2011, 2011

Phase identification in smart grids.

Vijay Arya, Deva P. Seetharam, Shivkumar Kalyanaraman, Kejitan Dontas, Christopher J. Pavlovski, Steve Hoy, Jayant R. Kalagnanam

Proceedings of the IEEE Second International Conference on Smart Grid Communications, 2011

2010

Foundations for Smarter Cities.

Colin Harrison, B. Eckman, R. Hamilton, Perry Hartswick, Jayant Kalagnanam, Jurij R. Paraszczak, P. Williams

IBM J. Res. Dev., 2010

2009

Learning dynamic temporal graphs for oil-production equipment monitoring system.

Yan Liu, Jayant R. Kalagnanam, Oivind Johnsen

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

2007

Production design for plate products in the steel industry.

Sanjeeb Dash, Jayant Kalagnanam, Chandra Reddy, Sang Hwa Song

IBM J. Res. Dev., 2007

An Application of Constraint Programming to Generating Detailed Operations Schedules for Steel Manufacturing.

Andrew J. Davenport, Jayant Kalagnanam, Chandra Reddy, Stuart Siegel, John Hou

Proceedings of the Principles and Practice of Constraint Programming, 2007

2006

A non-parametric estimator for setting reservation prices in procurement auctions.

Martin Bichler, Jayant Kalagnanam

Inf. Technol. Manag., 2006

A Column-Generation Approach to the Multiple Knapsack Problem with Color Constraints.

John J. H. Forrest, Jayant Kalagnanam, Laszlo Ladányi

INFORMS J. Comput., 2006

Software frameworks for advanced procurement auction markets.

Martin Bichler, Jayant Kalagnanam

Commun. ACM, 2006

Improved Bounds for Computing Kemeny Rankings.

Vincent Conitzer, Andrew J. Davenport, Jayant Kalagnanam

Proceedings of the Proceedings, 2006

Data Quality Management using Business Process Modeling.

Sugato Bagchi, Xue Bai, Jayant Kalagnanam

Proceedings of the 2006 IEEE International Conference on Services Computing (SCC 2006), 2006

2005

Models for Iterative Multiattribute Procurement Auctions.

David C. Parkes, Jayant Kalagnanam

Manag. Sci., 2005

Bid Evaluation in Procurement Auctions with Piecewise Linear Supply Curves.

Marta Eso, Soumyadip Ghosh, Jayant Kalagnanam, Laszlo Ladányi

J. Heuristics, 2005

Configurable offers and winner determination in multi-attribute auctions.

Martin Bichler, Jayant Kalagnanam

Eur. J. Oper. Res., 2005

Automated cleansing for spend analytics.

Moninder Singh, Jayant Kalagnanam, Sudhir Verma, Amit J. Shah, Swaroop K. Chalasani

Proceedings of the 2005 ACM CIKM International Conference on Information and Knowledge Management, Bremen, Germany, October 31, 2005

2004

QoS-Aware Middleware for Web Services Composition.

Liangzhao Zeng, Boualem Benatallah, Anne H. H. Ngu, Marlon Dumas, Jayant Kalagnanam, Henry Chang

IEEE Trans. Software Eng., 2004

The Slab-Design Problem in the Steel Industry.

Milind Dawande, Jayant Kalagnanam, Ho Soo Lee, Chandra Reddy, Stuart Siegel, Mark Trumbo

Interfaces, 2004

A system for automated mapping of bill-of-materials part numbers.

Jayant Kalagnanam, Moninder Singh, Sudhir Verma, Michael Patek, Yuk Wah Wong

Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

A Computational Study of the Kemeny Rule for Preference Aggregation.

Andrew J. Davenport, Jayant Kalagnanam

Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004

2003

Special Issue: 2002 Franz Edelman Award for Achievement in Operations Research and the Management Sciences: Combinatorial and Quantity-Discount Procurement Auctions Benefit Mars, Incorporated and Its Suppliers.

Gail Hohner, John Rich, Ed Ng, Grant Reid, Andrew J. Davenport, Jayant R. Kalagnanam, Ho Soo Lee, Chae An

Interfaces, 2003

Quality driven web services composition.

Liangzhao Zeng, Boualem Benatallah, Marlon Dumas, Jayant Kalagnanam, Quan Z. Sheng

Proceedings of the Twelfth International World Wide Web Conference, 2003

Reliable Execution Planning and Exception Handling for Business Process.

Liangzhao Zeng, Jun-Jang Jeng, Santhosh Kumaran, Jayant Kalagnanam

Proceedings of the Technologies for E-Services, 4th International Workshop, 2003

Polyhedral sampling for multiattribute preference elicitation.

Soumyadip Ghosh, Jayant Kalagnanam

Proceedings of the Proceedings 4th ACM Conference on Electronic Commerce (EC-2003), 2003

A nonoparametric estimator for setting: reserve prices in procurement auctions.

Martin Bichler, Jayant Kalagnanam

Proceedings of the Proceedings 4th ACM Conference on Electronic Commerce (EC-2003), 2003

2002

Applications of flexible pricing in business-to-business electronic commerce.

Martin Bichler, Jayant Kalagnanam, Kaan Katircioglu, Alan J. King, Richard D. Lawrence, Ho Soo Lee, Grace Y. Lin, Yingdong Lu

IBM Syst. J., 2002

Cooperative Strategies for Solving the Bicriteria Sparse Multiple Knapsack Problem.

F. Sibel Salman, Jayant Kalagnanam, Sesh Murthy, Andrew J. Davenport

J. Heuristics, 2002

Winner Determination Algorithms for Electronic Auctions: A Framework Design.

Martin Bichler, Jayant Kalagnanam, Ho Soo Lee, Juhnyoung Lee

Proceedings of the E-Commerce and Web Technologies, Third International Conference, 2002

2001

Variable Sized Bin Packing With Color Constraints.

Milind Dawande, Jayant Kalagnanam, Jay Sethuraman

Electron. Notes Discret. Math., 2001

Computational Aspects of Clearing Continuous Call Double Auctions with Assignment Constraints and Indivisible Demand.

Jayant Kalagnanam, Andrew J. Davenport, Ho Soo Lee

Electron. Commer. Res., 2001

Achieving Budget-Balance with Vickrey-Based Payment Schemes in Exchanges.

David C. Parkes, Jayant Kalagnanam, Marta Eso

Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

2000

Approximation Algorithms for the Multiple Knapsack Problem with Assignment Restrictions.

Milind Dawande, Jayant Kalagnanam, Pinar Keskinocak, F. Sibel Salman, R. Ravi

J. Comb. Optim., 2000

The Surplus Inventory Matching Problem in the Process Industry.

Jayant R. Kalagnanam, Milind Dawande, Mark Trumbo, Ho Soo Lee

Oper. Res., 2000

1999

Cooperative strategies for solving the bicriteria sparse multiple knapsack problem.

F. Sibel Salman, Jayant Kalagnanam, Sesh Murthy

Proceedings of the 1999 Congress on Evolutionary Computation, 1999

Using Neural Networks in Agent Teams to Speed Up Solution Discovery for Hard Multi-Criteria Problems.

Shaun Gittens, Richard Goodwin, Jayant Kalagnanam, Sesh Murthy

Proceedings of the Sixteenth National Conference on Artificial Intelligence and Eleventh Conference on Innovative Applications of Artificial Intelligence, 1999

1994

The Scope of Dimensional Analysis in Qualitative Reasoning.

Jayant Kalagnanam, Max Henrion, Eswaran Subrahmanian

Comput. Intell., 1994

An optimization approach to order of magnitude reasoning.

Jayant Kalagnanam, Urmila M. Diwekar

Artif. Intell. Eng. Des. Anal. Manuf., 1994

1993

An application of qualitative analysis of ordinary differential equations to azeotropic batch distillation.

Jayant Kalagnanam, Urmila M. Diwekar

Artif. Intell. Eng., 1993

1992

Directions for Qualitative Reasoning.

Jayant Kalagnanam, Herbert A. Simon

Comput. Intell., 1992

1991

The Mathematical Bases for Qualitative Reasoning.

Jayant Kalagnanam, Herbert A. Simon, Yumi Iwasaki

IEEE Expert, 1991

1989

Learning to Diagnose by Doing.

Jayant Kalagnanam, Eswaran Subrahmanian

Proceedings of the 11th International Joint Conference on Artificial Intelligence. Detroit, 1989

1988

A comparison of decision alaysis and expert rules for sequential diagnosis.

Jayant Kalagnanam, Max Henrion

Proceedings of the UAI '88: Proceedings of the Fourth Annual Conference on Uncertainty in Artificial Intelligence, 1988