Searching for "ashish sabharwal" – sorted by Number of Citations
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Inferring Link Weights using End-to-End Measurements
- for help with constraint solving, Ashish Sabharwal for help with reducing the number of constraints
- Cited by 51 (14 self) – Add To MetaCart
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Spectral Partitioning of Random Graphs
- Karlin. The author would also like to thank Kaustubh Deshmukh, Ashish Sabharwal, and Pradeep Shenoy
- Cited by 39 (3 self) – Add To MetaCart
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Towards understanding and harnessing the potential of clause learning
- @(email omitted); Henry Kautz kautz@(email omitted); Ashish Sabharwal ashish@(email omitted); Computer Science
- Cited by 34 (7 self) – Add To MetaCart
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Model counting: A new strategy for obtaining good bounds
- Model Counting: A New Strategy for Obtaining Good Bounds Carla P. Gomes and Ashish Sabharwal
- Cited by 17 (10 self) – Add To MetaCart
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Revisiting the sequence constraint
- -Martin Rousseau 2,3,4 , and Ashish Sabharwal 1 1 Department of Computer Science, Cornell University, 4130 Upson
- Cited by 13 (1 self) – Add To MetaCart
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Understanding the power of clause learning
- Understanding the Power of Clause Learning Paul Beame ∗ Henry Kautz ∗ Ashish Sabharwal ∗ Abstract
- Cited by 12 (4 self) – Add To MetaCart
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From sampling to model counting
- From Sampling to Model Counting Carla P. Gomes † Joerg Hoffmann ‡ Ashish Sabharwal † Bart Selman
- Cited by 9 (5 self) – Add To MetaCart
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SymChaff: A Structure-Aware Satisfiability Solver
- , American Association for Artificial Intelligence (www.aaai.org). All rights reserved. Ashish Sabharwal
- Cited by 9 (3 self) – Add To MetaCart
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Using Problem Structure for Efficient Clause Learning
- Using Problem Structure for Efficient Clause Learning Ashish Sabharwal ⋆ , Paul Beame
- Cited by 5 (3 self) – Add To MetaCart
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B.: Near-uniform sampling of combinatorial spaces using XOR constraints
- Near-Uniform Sampling of Combinatorial Spaces Using XOR Constraints Carla P. Gomes Ashish
- Cited by 5 (1 self) – Add To MetaCart

