Jayant Kalagnanam
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
28
Venues
13
Active years
1988–2025
Best venue rank
A*
Where they publish
Papers
28 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | SDM | Convergence-Guaranteed Elastic Net Graphical Model Estimation with Applications to Anomaly Localization. | Dzung T. Phan, Matt Menickelly, Tsuyoshi Id, Jayant Kalagnanam |
| 2024 | AAAI | 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 |
| 2024 | UAI | Identifying Homogeneous and Interpretable Groups for Conformal Prediction. | Natalia Martinez Gil, Dhaval Patel, Chandra Reddy, Giridhar Ganapavarapu, Roman Vaculn, Jayant Kalagnanam |
| 2024 | SDM | Multi-polytope Machine for Classification. | Dzung T. Phan, Lam M. Nguyen, Jayant Kalagnanam, Chandra Reddy |
| 2023 | AAAI | AI Model Factory: Scaling AI for Industry 4.0 Applications. | Dhaval Patel, Shuxin Lin, Dhruv Shah, Srideepika Jayaraman, Joern Ploennigs, Anuradha Bhamidipati, Jayant Kalagnanam |
| 2023 | ICLR | A Time Series is Worth 64 Words: Long-term Forecasting with Transformers. | Yuqi Nie, Nam H. Nguyen, Phanwadee Sinthong, Jayant Kalagnanam |
| 2023 | KDD | TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting. | Vijay Ekambaram, Arindam Jati, Nam Nguyen, Phanwadee Sinthong, Jayant Kalagnanam |
| 2022 | AAAI | AnomalyKiTS: Anomaly Detection Toolkit for Time Series. | Dhaval Patel, Giridhar Ganapavarapu, Srideepika Jayaraman, Shuxin Lin, Anuradha Bhamidipaty, Jayant Kalagnanam |
| 2022 | AAAI | Interpretable Clustering via Multi-Polytope Machines. | Connor Lawless, Jayant Kalagnanam, Lam M. Nguyen, Dzung T. Phan, Chandra Reddy |
| 2020 | AAAI | Delay-Adaptive Distributed Stochastic Optimization. | Zhaolin Ren, Zhengyuan Zhou, Linhai Qiu, Ajay Deshpande, Jayant Kalagnanam |
| 2019 | ICDCS | Providing Cooperative Data Analytics for Real Applications Using Machine Learning. | Arun Iyengar, Jayant Kalagnanam, Dhaval Patel, Chandra Reddy, Shrey Shrivastava |
| 2017 | ICDM | Multi-task Multi-modal Models for Collective Anomaly Detection. | Tsuyoshi Id, Dzung T. Phan, Jayant Kalagnanam |
| 2017 | ICDM | A Novel l0-Constrained Gaussian Graphical Model for Anomaly Localization. | Dzung T. Phan, Tsuyoshi Id, Jayant Kalagnanam, Matt Menickelly, Katya Scheinberg |
| 2016 | ICDM | Sparse Gaussian Markov Random Field Mixtures for Anomaly Detection. | Tsuyoshi Id, Ankush Khandelwal, Jayant Kalagnanam |
| 2016 | IJCAI | Change Detection Using Directional Statistics. | Tsuyoshi Id, Dzung T. Phan, Jayant Kalagnanam |
| 2014 | KDD | FoodSIS: a text mining system to improve the state of food safety in singapore. | Kiran Kate, Sneha Chaudhari, Andy Prapanca, Jayant Kalagnanam |
| 2011 | WSC | 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 |
| 2007 | CP | An Application of Constraint Programming to Generating Detailed Operations Schedules for Steel Manufacturing. | Andrew J. Davenport, Jayant Kalagnanam, Chandra Reddy, Stuart Siegel, John Hou |
| 2006 | AAAI | Improved Bounds for Computing Kemeny Rankings. | Vincent Conitzer, Andrew J. Davenport, Jayant Kalagnanam |
| 2005 | CIKM | Automated cleansing for spend analytics. | Moninder Singh, Jayant Kalagnanam, Sudhir Verma, Amit J. Shah, Swaroop K. Chalasani |
| 2004 | AAAI | A Computational Study of the Kemeny Rule for Preference Aggregation. | Andrew J. Davenport, Jayant Kalagnanam |
| 2004 | KDD | A system for automated mapping of bill-of-materials part numbers. | Jayant Kalagnanam, Moninder Singh, Sudhir Verma, Michael Patek, Yuk Wah Wong |
| 2003 | WWW | Quality driven web services composition. | Liangzhao Zeng, Boualem Benatallah, Marlon Dumas, Jayant Kalagnanam, Quan Z. Sheng |
| 2001 | IJCAI | Achieving Budget-Balance with Vickrey-Based Payment Schemes in Exchanges. | David C. Parkes, Jayant Kalagnanam, Marta Eso |
| 1999 | AAAI | Using Neural Networks in Agent Teams to Speed Up Solution Discovery for Hard Multi-Criteria Problems. | Shaun Gittens, Richard Goodwin, Jayant Kalagnanam, Sesh Murthy |
| 1999 | CEC | Cooperative strategies for solving the bicriteria sparse multiple knapsack problem. | F. Sibel Salman, Jayant Kalagnanam, Sesh Murthy |
| 1989 | IJCAI | Learning to Diagnose by Doing. | Jayant Kalagnanam, Eswaran Subrahmanian |
| 1988 | UAI | A comparison of decision alaysis and expert rules for sequential diagnosis. | Jayant Kalagnanam, Max Henrion |