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2020 – today
- 2024
[c16]Dzung T. Phan, Lam M. Nguyen, Jayant Kalagnanam, Chandra Reddy:
Multi-polytope Machine for Classification. SDM 2024: 109-117- [i2]Vijay Ekambaram, Arindam Jati, Nam H. Nguyen, Pankaj Dayama, Chandra Reddy, Wesley M. Gifford, Jayant Kalagnanam:
Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series. CoRR abs/2401.03955 (2024) - 2022
- [c15]Connor Lawless, Jayant Kalagnanam, Lam M. Nguyen, Dzung T. Phan, Chandra Reddy:
Interpretable Clustering via Multi-Polytope Machines. AAAI 2022: 7309-7316 - 2021
- [c14]Srideepika Jayaraman, Chandra Reddy, Elham Khabiri, Dhaval Patel, Anuradha Bhamidipaty, Jayant Kalagnanam:
Asset Modeling using Serverless Computing. IEEE BigData 2021: 4084-4090 - [i1]Connor Lawless, Jayant Kalagnanam, Lam M. Nguyen, Dzung T. Phan, Chandra Reddy:
Interpretable Clustering via Multi-Polytope Machines. CoRR abs/2112.05653 (2021) - 2020
- [c13]Dhaval Patel, Shrey Shrivastava, Wesley M. Gifford, Stuart Siegel, Jayant Kalagnanam, Chandra Reddy:
Smart-ML: A System for Machine Learning Model Exploration using Pipeline Graph. IEEE BigData 2020: 1604-1613
2010 – 2019
- 2019
- [c12]Arun Iyengar, Jayant Kalagnanam, Dhaval Patel, Chandra Reddy, Shrey Shrivastava:
Providing Cooperative Data Analytics for Real Applications Using Machine Learning. ICDCS 2019: 1878-1890 - 2015
- [c11]Alain Biem, Maria Butrico, Mark Feblowitz, Tim Klinger, Yuri Malitsky, Kenney Ng, Adam Perer, Chandra Reddy, Anton Riabov, Horst Samulowitz, Daby M. Sow, Gerald Tesauro, Deepak S. Turaga:
Towards Cognitive Automation of Data Science. AAAI 2015: 4268-4269 - 2013
- [c10]Horst Samulowitz, Chandra Reddy, Ashish Sabharwal, Meinolf Sellmann:
Snappy: A Simple Algorithm Portfolio. SAT 2013: 422-428 - 2012
- [c9]Ashish Sabharwal, Horst Samulowitz, Chandra Reddy:
Guiding Combinatorial Optimization with UCT. CPAIOR 2012: 356-361 - 2011
- [c8]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:
Modeling and simulation of building energy performance for portfolios of public buildings. WSC 2011: 915-927
2000 – 2009
- 2007
- [j4]Sanjeeb Dash, Jayant Kalagnanam, Chandra Reddy, Sang Hwa Song:
Production design for plate products in the steel industry. IBM J. Res. Dev. 51(3/4): 345-362 (2007) - [c7]Andrew J. Davenport, Jayant Kalagnanam, Chandra Reddy, Stuart Siegel, John Hou:
An Application of Constraint Programming to Generating Detailed Operations Schedules for Steel Manufacturing. CP 2007: 64-76 - 2004
- [j3]Hiroyuki Okano, Andrew J. Davenport, Mark Trumbo, Chandra Reddy, Kunikazu Yoda, Masami Amano:
Finishing Line Scheduling in the steel industry. IBM J. Res. Dev. 48(5-6): 811-830 (2004) - [j2]Milind Dawande
, Jayant Kalagnanam, Ho Soo Lee, Chandra Reddy, Stuart Siegel, Mark Trumbo:
The Slab-Design Problem in the Steel Industry. Interfaces 34(3): 215-225 (2004)
1990 – 1999
- 1999
- [j1]Chandra Reddy, Prasad Tadepalli:
Learning Horn Definitions: Theory and an Application to Planning. New Gener. Comput. 17(1): 77-98 (1999) - 1998
- [c6]Chandra Reddy, Prasad Tadepalli:
Learning First-Order Acyclic Horn Programs from Entailment. ICML 1998: 472-480 - [c5]Chandra Reddy, Prasad Tadepalli:
Learning First-Order Acyclic Horn Programs from Entailment. ILP 1998: 23-37 - 1997
- [c4]Chandra Reddy, Prasad Tadepalli:
Learning Goal-Decomposition Rules Using Exercises. AAAI/IAAI 1997: 843 - [c3]Chandra Reddy, Prasad Tadepalli:
Learning Goal-Decomposition Rules using Exercises. ICML 1997: 278-286 - [c2]Chandra Reddy, Prasad Tadepalli:
Learning Horn Definitions with Equivalence and Membership Queries. ILP 1997: 243-255 - 1996
- [c1]Chandra Reddy, Prasad Tadepalli, Silvana Roncagliolo:
Theory-guided Empirical Speedup Learning of Goal Decomposition Rules. ICML 1996: 409-417
Coauthor Index
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last updated on 2024-07-04 21:27 CEST by the dblp team
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