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ORCIDPranav Garg 0001
Person information
- affiliation: Amazon Web Services, New York, NY, USA
- affiliation (former): University of Illinois Urbana-Champaign, IL, USA
Other persons with the same name
- Pranav Garg 0002 — University of Michigan, Ann Arbor, MI, USA
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2020 – today
- 2024
[i7]Daniel Melcer, Sujan K. Gonugondla, Pramuditha Perera, Haifeng Qian, Wen-Hao Chiang, Yanjun Wang, Nihal Jain, Pranav Garg, Xiaofei Ma, Anoop Deoras:
Approximately Aligned Decoding. CoRR abs/2410.01103 (2024)- 2022
- [j4]Pranav Garg
, Srinivasan H. Sengamedu:
Synthesizing code quality rules from examples. Proc. ACM Program. Lang. 6(OOPSLA2): 1757-1787 (2022) - [i6]Pranav Garg, Srinivasan Sengamedu:
Example-based Synthesis of Static Analysis Rules. CoRR abs/2204.08643 (2022) - 2020
- [j3]Daniel Neider, P. Madhusudan, Shambwaditya Saha, Pranav Garg, Daejun Park:
A Learning-Based Approach to Synthesizing Invariants for Incomplete Verification Engines. J. Autom. Reason. 64(7): 1523-1552 (2020)
2010 – 2019
- 2019
- [c14]Mohammad Ruhul Amin, Pranav Garg, Baris Coskun:
CADENCE: Conditional Anomaly Detection for Events Using Noise-Contrastive Estimation. AISec@CCS 2019: 71-82 - [c13]Daniel Neider, Shambwaditya Saha, Pranav Garg, P. Madhusudan:
Sorcar: Property-Driven Algorithms for Learning Conjunctive Invariants. SAS 2019: 323-346 - 2018
- [j2]P. Ezudheen, Daniel Neider, Deepak D'Souza, Pranav Garg, P. Madhusudan:
Horn-ICE learning for synthesizing invariants and contracts. Proc. ACM Program. Lang. 2(OOPSLA): 131:1-131:25 (2018) - [c12]Daniel Neider, Pranav Garg, P. Madhusudan, Shambwaditya Saha, Daejun Park:
Invariant Synthesis for Incomplete Verification Engines. TACAS (1) 2018: 232-250 - 2017
- [c11]Alex Gyori, Pranav Garg, Edgar Pek, P. Madhusudan:
Efficient Incrementalized Runtime Checking of Linear Measures on Lists. ICST 2017: 310-320 - [i5]Daniel Neider, Pranav Garg, P. Madhusudan, Shambwaditya Saha, Daejun Park:
Invariant Synthesis for Incomplete Verification Engines. CoRR abs/1712.05581 (2017) - [i4]Deepak D'Souza, P. Ezudheen, Pranav Garg, P. Madhusudan, Daniel Neider:
Horn-ICE Learning for Synthesizing Invariants and Contracts. CoRR abs/1712.09418 (2017) - [i3]Edgar Pek, Pranav Garg, Muntasir Raihan Rahman, Karl Palmskog, Indranil Gupta, P. Madhusudan:
Inferring Formal Properties of Production Key-Value Stores. CoRR abs/1712.10056 (2017) - 2016
- [c10]Pranav Garg, Daniel Neider, P. Madhusudan, Dan Roth:
Learning invariants using decision trees and implication counterexamples. POPL 2016: 499-512 - 2015
- [b1]Pranav Garg:
Learning-based inductive invariant synthesis. University of Illinois Urbana-Champaign, USA, 2015 - [j1]Pranav Garg, Christof Löding, P. Madhusudan, Daniel Neider:
Quantified data automata for linear data structures: a register automaton model with applications to learning invariants of programs manipulating arrays and lists. Formal Methods Syst. Des. 47(1): 120-157 (2015) - [c9]Shambwaditya Saha, Pranav Garg, P. Madhusudan:
Alchemist: Learning Guarded Affine Functions. CAV (1) 2015: 440-446 - [p1]Rajeev Alur, Rastislav Bodík, Eric Dallal, Dana Fisman, Pranav Garg, Garvit Juniwal, Hadas Kress-Gazit, P. Madhusudan, Milo M. K. Martin, Mukund Raghothaman, Shambwaditya Saha, Sanjit A. Seshia, Rishabh Singh, Armando Solar-Lezama, Emina Torlak, Abhishek Udupa:
Syntax-Guided Synthesis. Dependable Software Systems Engineering 2015: 1-25 - 2014
- [c8]Pranav Garg, Christof Löding, P. Madhusudan, Daniel Neider:
ICE: A Robust Framework for Learning Invariants. CAV 2014: 69-87 - [c7]Ankush Desai, Pranav Garg, P. Madhusudan:
Natural proofs for asynchronous programs using almost-synchronous reductions. OOPSLA 2014: 709-725 - 2013
- [c6]Pranav Garg, Christof Löding, P. Madhusudan, Daniel Neider:
Learning Universally Quantified Invariants of Linear Data Structures. CAV 2013: 813-829 - [c5]Pranav Garg, Franjo Ivancic, Gogul Balakrishnan, Naoto Maeda, Aarti Gupta:
Feedback-directed unit test generation for C/C++ using concolic execution. ICSE 2013: 132-141 - [c4]Xiaokang Qiu, Pranav Garg, Andrei Stefanescu, Parthasarathy Madhusudan:
Natural proofs for structure, data, and separation. PLDI 2013: 231-242 - [c3]Pranav Garg, P. Madhusudan, Gennaro Parlato:
Quantified Data Automata on Skinny Trees: An Abstract Domain for Lists. SAS 2013: 172-193 - [i2]Pranav Garg, Christof Löding, P. Madhusudan, Daniel Neider:
Learning Universally Quantified Invariants of Linear Data Structures. CoRR abs/1302.2273 (2013) - [i1]Pranav Garg, P. Madhusudan, Gennaro Parlato:
Quantified Data Automata on Skinny Trees: an Abstract Domain for Lists. CoRR abs/1304.0660 (2013) - 2011
- [c2]Rishi Agarwal, Pranav Garg, Josep Torrellas:
Rebound: scalable checkpointing for coherent shared memory. ISCA 2011: 153-164 - [c1]Pranav Garg, P. Madhusudan:
Compositionality Entails Sequentializability. TACAS 2011: 26-40
Coauthor Index
aka: Parthasarathy Madhusudan
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