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ORCIDSasa Misailovic
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- affiliation: University of Illinois at Urbana-Champaign, IL, USA
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Books and Theses
- 2015
[b1]Sasa Misailovic:
Accuracy-aware optimization of approximate programs. Massachusetts Institute of Technology, Cambridge, MA, USA, 2015
Journal Articles
- 2024
- [j22]Matevz Fabjancic
, Octavian Machidon, Hashim Sharif, Yifan Zhao, Sasa Misailovic, Veljko Pejovic:
Mobiprox: Supporting Dynamic Approximate Computing on Mobiles. IEEE Internet Things J. 11(9): 16873-16886 (2024) - [j21]Zixin Huang, Saikat Dutta, Sasa Misailovic:
Debugging convergence problems in probabilistic programs via program representation learning with SixthSense. Int. J. Softw. Tools Technol. Transf. 26(3): 249-268 (2024) - 2023
- [j20]Jacob Laurel, Siyuan Brant Qian, Gagandeep Singh, Sasa Misailovic:
Synthesizing Precise Static Analyzers for Automatic Differentiation. Proc. ACM Program. Lang. 7(OOPSLA2): 1964-1992 (2023) - [j19]Shubham Ugare, Debangshu Banerjee, Sasa Misailovic, Gagandeep Singh:
Incremental Verification of Neural Networks. Proc. ACM Program. Lang. 7(PLDI): 1920-1945 (2023) - [j18]Vimuth Fernando, Keyur Joshi, Jacob Laurel, Sasa Misailovic:
Diamont: dynamic monitoring of uncertainty for distributed asynchronous programs. Int. J. Softw. Tools Technol. Transf. 25(4): 521-539 (2023) - 2022
- [j17]Zixin Huang, Saikat Dutta, Sasa Misailovic:
Automated quantized inference for probabilistic programs with AQUA. Innov. Syst. Softw. Eng. 18(3): 369-384 (2022) - [j16]Adel Ejjeh, Aaron Councilman, Akash Kothari, Maria Kotsifakou, Leon Medvinsky, Abdul Rafae Noor, Hashim Sharif, Yifan Zhao, Sarita V. Adve, Sasa Misailovic, Vikram S. Adve:
HPVM: Hardware-Agnostic Programming for Heterogeneous Parallel Systems. IEEE Micro 42(5): 108-117 (2022) - [j15]Shubham Ugare, Gagandeep Singh, Sasa Misailovic:
Proof transfer for fast certification of multiple approximate neural networks. Proc. ACM Program. Lang. 6(OOPSLA1): 1-29 (2022) - [j14]Jacob Laurel, Rem Yang, Shubham Ugare, Robert Nagel, Gagandeep Singh, Sasa Misailovic:
A general construction for abstract interpretation of higher-order automatic differentiation. Proc. ACM Program. Lang. 6(OOPSLA2): 1007-1035 (2022) - [j13]Jacob Laurel, Rem Yang, Gagandeep Singh, Sasa Misailovic:
A dual number abstraction for static analysis of Clarke Jacobians. Proc. ACM Program. Lang. 6(POPL): 1-30 (2022) - [j12]Chiao Hsieh, Yangge Li, Dawei Sun, Keyur Joshi, Sasa Misailovic, Sayan Mitra:
Verifying Controllers With Vision-Based Perception Using Safe Approximate Abstractions. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 4205-4216 (2022) - 2021
- [j11]Phillip Stanley-Marbell, Armin Alaghi, Michael Carbin, Eva Darulova, Lara Dolecek, Andreas Gerstlauer, Ghayoor Gillani, Djordje Jevdjic, Thierry Moreau, Mattia Cacciotti, Alexandros Daglis, Natalie D. Enright Jerger, Babak Falsafi, Sasa Misailovic, Adrian Sampson, Damien Zufferey:
Exploiting Errors for Efficiency: A Survey from Circuits to Applications. ACM Comput. Surv. 53(3): 51:1-51:39 (2021) - 2020
- [j10]Ritwika Ghosh, Chiao Hsieh, Sasa Misailovic, Sayan Mitra:
Koord: a language for programming and verifying distributed robotics application. Proc. ACM Program. Lang. 4(OOPSLA): 232:1-232:30 (2020) - [j9]Shengwei An, Rishabh Singh, Sasa Misailovic, Roopsha Samanta:
Augmented example-based synthesis using relational perturbation properties. Proc. ACM Program. Lang. 4(POPL): 56:1-56:24 (2020) - [j8]Cyrille Artho, Quoc-Sang Phan, Peter Aldous, Alyas Almaawi, Lucas Bang, Lasse Berglund, Tevfik Bultan, Zhenbang Chen, Hayes Converse, Wei Dong, William Eiers, Milos Gligoric, Simon Goldsmith, Lars Grunske, Joshua Hooker, Ismet Burak Kadron, Timo Kehrer, Sarfraz Khurshid, Xuan-Bach Dinh Le, David Lo, Eric Mercer, Sasa Misailovic, Egor Namakonov, Hoang Lam Nguyen, Yannic Noller, Benjamin Ogles, Rohan Padhye, Pavel Parízek, Corina S. Pasareanu, Sheridan Jacob Powell, Seemanta Saha, Koushik Sen, Elena Sherman, Kyle Storey, Minxing Tang, Willem Visser, Ji Wang, Hengbiao Yu:
The Java Pathfinder Workshop 2019. ACM SIGSOFT Softw. Eng. Notes 45(2): 20-22 (2020) - 2019
- [j7]Vimuth Fernando, Keyur Joshi, Sasa Misailovic:
Verifying safety and accuracy of approximate parallel programs via canonical sequentialization. Proc. ACM Program. Lang. 3(OOPSLA): 119:1-119:29 (2019) - [j6]Hashim Sharif, Prakalp Srivastava, Muhammad Huzaifa, Maria Kotsifakou, Keyur Joshi, Yasmin Sarita, Nathan Zhao, Vikram S. Adve, Sasa Misailovic, Sarita V. Adve:
ApproxHPVM: a portable compiler IR for accuracy-aware optimizations. Proc. ACM Program. Lang. 3(OOPSLA): 186:1-186:30 (2019) - [j5]Alyas Almaawi, Hayes Converse, Milos Gligoric, Sasa Misailovic, Sarfraz Khurshid:
Quantifying the Exploration of the Korat Solver for Imperative Constraints. ACM SIGSOFT Softw. Eng. Notes 44(4): 15 (2019) - 2018
- [j4]Kaiyuan Wang, Hayes Converse, Milos Gligoric, Sasa Misailovic, Sarfraz Khurshid:
A Progress Bar for the JPF Search Using Program Executions. ACM SIGSOFT Softw. Eng. Notes 43(4): 55 (2018) - 2017
- [j3]Antonio Filieri, Martina Maggio, Konstantinos Angelopoulos, Nicolás D'Ippolito, Ilias Gerostathopoulos, Andreas Berndt Hempel, Henry Hoffmann, Pooyan Jamshidi, Evangelia Kalyvianaki, Cristian Klein, Filip Krikava, Sasa Misailovic, Alessandro Vittorio Papadopoulos, Suprio Ray, Amir Molzam Sharifloo, Stepan Shevtsov, Mateusz Ujma, Thomas Vogel:
Control Strategies for Self-Adaptive Software Systems. ACM Trans. Auton. Adapt. Syst. 11(4): 24:1-24:31 (2017) - 2016
- [j2]Michael Carbin, Sasa Misailovic, Martin C. Rinard:
Verifying quantitative reliability for programs that execute on unreliable hardware. Commun. ACM 59(8): 83-91 (2016) - 2013
- [j1]Sasa Misailovic, Deokhwan Kim, Martin C. Rinard:
Parallelizing Sequential Programs with Statistical Accuracy Tests. ACM Trans. Embed. Comput. Syst. 12(2s): 88:1-88:26 (2013)
Conference and Workshop Papers
- 2024
- [c58]Yifan Zhao, Hashim Sharif, Vikram S. Adve, Sasa Misailovic:
Felix: Optimizing Tensor Programs with Gradient Descent. ASPLOS (3) 2024: 367-381 - [c57]Tarun Suresh, Shubham Ugare, Gagandeep Singh, Sasa Misailovic:
Is Watermarking LLM-Generated Code Robust? Tiny Papers @ ICLR 2024 - [c56]Shubham Ugare, Tarun Suresh, Debangshu Banerjee, Gagandeep Singh, Sasa Misailovic:
Incremental Randomized Smoothing Certification. ICLR 2024 - [c55]Shanto Rahman, Abdelrahman Baz, Sasa Misailovic, August Shi:
Quantizing Large-Language Models for Predicting Flaky Tests. ICST 2024: 93-104 - 2023
- [c54]Zitong Zhou, Zixin Huang, Sasa Misailovic:
AquaSense: Automated Sensitivity Analysis of Probabilistic Programs via Quantized Inference. ATVA 2023: 288-301 - [c53]Ashitabh Misra, Jacob Laurel, Sasa Misailovic:
ViX: Analysis-driven Compiler for Efficient Low-Precision Variational Inference. DATE 2023: 1-6 - [c52]Rem Yang, Jacob Laurel, Sasa Misailovic, Gagandeep Singh:
Provable Defense Against Geometric Transformations. ICLR 2023 - [c51]Chunqiu Steven Xia, Saikat Dutta, Sasa Misailovic, Darko Marinov, Lingming Zhang:
Balancing Effectiveness and Flakiness of Non-Deterministic Machine Learning Tests. ICSE 2023: 1801-1813 - [c50]Yifan Zhao, Hashim Sharif, Peter Pao-Huang, Vatsin Shah, Arun Narenthiran Sivakumar, Mateus Valverde Gasparino, Abdulrahman Mahmoud, Nathan Zhao, Sarita V. Adve, Girish Chowdhary, Sasa Misailovic, Vikram S. Adve:
ApproxCaliper: A Programmable Framework for Application-aware Neural Network Optimization. MLSys 2023 - [c49]Zixin Huang, Saikat Dutta, Sasa Misailovic:
ASTRA: Understanding the practical impact of robustness for probabilistic programs. UAI 2023: 900-910 - 2022
- [c48]Saikat Dutta, Zixin Huang, Sasa Misailovic:
SixthSense: Debugging Convergence Problems in Probabilistic Programs via Program Representation Learning. FASE 2022: 123-144 - [c47]Saikat Dutta, Anshul Arunachalam, Sasa Misailovic:
To Seed or Not to Seed? An Empirical Analysis of Usage of Seeds for Testing in Machine Learning Projects. ICST 2022: 151-161 - 2021
- [c46]Zixin Huang, Saikat Dutta, Sasa Misailovic:
AQUA: Automated Quantized Inference for Probabilistic Programs. ATVA 2021: 229-246 - [c45]Jacob Laurel, Rem Yang, Atharva Sehgal, Shubham Ugare, Sasa Misailovic:
Statheros: Compiler for Efficient Low-Precision Probabilistic Programming. DAC 2021: 787-792 - [c44]Antonio Franques, Apostolos Kokolis, Sergi Abadal, Vimuth Fernando, Sasa Misailovic, Josep Torrellas:
WiDir: A Wireless-Enabled Directory Cache Coherence Protocol. HPCA 2021: 304-317 - [c43]Saikat Dutta, Jeeva Selvam, Aryaman Jain, Sasa Misailovic:
TERA: optimizing stochastic regression tests in machine learning projects. ISSTA 2021: 413-426 - [c42]Hashim Sharif, Yifan Zhao, Maria Kotsifakou, Akash Kothari, Ben Schreiber, Elizabeth Wang, Yasmin Sarita, Nathan Zhao, Keyur Joshi, Vikram S. Adve, Sasa Misailovic, Sarita V. Adve:
ApproxTuner: a compiler and runtime system for adaptive approximations. PPoPP 2021: 262-277 - [c41]Vimuth Fernando, Keyur Joshi, Jacob Laurel, Sasa Misailovic:
Diamont: Dynamic Monitoring of Uncertainty for Distributed Asynchronous Programs. RV 2021: 184-206 - [c40]Saikat Dutta, August Shi, Sasa Misailovic:
FLEX: fixing flaky tests in machine learning projects by updating assertion bounds. ESEC/SIGSOFT FSE 2021: 603-614 - 2020
- [c39]Keyur Joshi, Vimuth Fernando, Sasa Misailovic:
Aloe: verifying reliability of approximate programs in the presence of recovery mechanisms. CGO 2020: 56-67 - [c38]Jacob Laurel, Sasa Misailovic:
Continualization of Probabilistic Programs With Correction. ESOP 2020: 366-393 - [c37]Azin Heidarshenas, Serif Yesil, Dimitrios Skarlatos, Sasa Misailovic, Adam Morrison, Josep Torrellas:
V-Combiner: speeding-up iterative graph processing on a shared-memory platform with vertex merging. ICS 2020: 9:1-9:13 - [c36]Alyas Almaawi, Nima Dini, Cagdas Yelen, Milos Gligoric, Sasa Misailovic, Sarfraz Khurshid:
Predictive constraint solving and analysis. ICSE (NIER) 2020: 109-112 - [c35]Saikat Dutta, August Shi, Rutvik Choudhary, Zhekun Zhang, Aryaman Jain, Sasa Misailovic:
Detecting flaky tests in probabilistic and machine learning applications. ISSTA 2020: 211-224 - 2019
- [c34]Vimuth Fernando, Antonio Franques, Sergi Abadal, Sasa Misailovic, Josep Torrellas:
Replica: A Wireless Manycore for Communication-Intensive and Approximate Data. ASPLOS 2019: 849-863 - [c33]Abdulrahman Mahmoud, Radha Venkatagiri, Khalique Ahmed, Sasa Misailovic, Darko Marinov, Christopher W. Fletcher, Sarita V. Adve:
Minotaur: Adapting Software Testing Techniques for Hardware Errors. ASPLOS 2019: 1087-1103 - [c32]Radha Venkatagiri, Khalique Ahmed, Abdulrahman Mahmoud, Sasa Misailovic, Darko Marinov, Christopher W. Fletcher, Sarita V. Adve:
gem5-Approxilyzer: An Open-Source Tool for Application-Level Soft Error Analysis. DSN 2019: 214-221 - [c31]Keyur Joshi, Vimuth Fernando, Sasa Misailovic:
Statistical algorithmic profiling for randomized approximate programs. ICSE 2019: 608-618 - [c30]Ben Fu, Sasa Misailovic, Milos Gligoric:
Resurgence of Regression Test Selection for C++. ICST 2019: 323-334 - [c29]Saikat Dutta, Wenxian Zhang, Zixin Huang, Sasa Misailovic:
Storm: program reduction for testing and debugging probabilistic programming systems. ESEC/SIGSOFT FSE 2019: 729-739 - [c28]R. Iris Bahar, Ulya R. Karpuzcu, Sasa Misailovic:
Special Session: Does Approximation Make Testing Harder (or Easier)? VTS 2019: 1-9 - 2018
- [c27]Zixin Huang, Zhenbang Wang, Sasa Misailovic:
PSense: Automatic Sensitivity Analysis for Probabilistic Programs. ATVA 2018: 387-403 - [c26]Farah Hariri, August Shi, Owolabi Legunsen, Milos Gligoric, Sarfraz Khurshid, Sasa Misailovic:
Approximate Transformations as Mutation Operators. ICST 2018: 285-296 - [c25]Timon Gehr, Sasa Misailovic, Petar Tsankov, Laurent Vanbever, Pascal Wiesmann, Martin T. Vechev:
Bayonet: probabilistic inference for networks. PLDI 2018: 586-602 - [c24]Ritwika Ghosh, Sasa Misailovic, Sayan Mitra:
Language Semantics Driven Design and Formal Analysis for Distributed Cyber-Physical Systems: [Extended Abstract]. ApPLIED@PODC 2018: 41-44 - [c23]Saikat Dutta, Owolabi Legunsen, Zixin Huang, Sasa Misailovic:
Testing probabilistic programming systems. ESEC/SIGSOFT FSE 2018: 574-586 - [c22]Ran Xu, Jinkyu Koo, Rakesh Kumar, Peter Bai, Subrata Mitra, Sasa Misailovic, Saurabh Bagchi:
VideoChef: Efficient Approximation for Streaming Video Processing Pipelines. USENIX ATC 2018: 43-56 - 2017
- [c21]Sasa Misailovic:
Probabilistic reasoning for analysis of approximate computations. CASES 2017: 4:1 - [c20]Subrata Mitra, Manish K. Gupta, Sasa Misailovic, Saurabh Bagchi:
Phase-aware optimization in approximate computing. CGO 2017: 185-196 - [c19]Milos Gligoric, Sarfraz Khurshid, Sasa Misailovic, August Shi:
Mutation Testing Meets Approximate Computing. ICSE-NIER 2017: 3-6 - 2016
- [c18]Timon Gehr, Sasa Misailovic, Martin T. Vechev:
PSI: Exact Symbolic Inference for Probabilistic Programs. CAV (1) 2016: 62-83 - 2015
- [c17]Sasa Misailovic:
Accuracy-aware optimization of approximate programs. CASES 2015: 37-38 - [c16]Antonio Filieri, Martina Maggio, Konstantinos Angelopoulos, Nicolás D'Ippolito, Ilias Gerostathopoulos, Andreas B. Hempel, Henry Hoffmann, Pooyan Jamshidi, Evangelia Kalyvianaki, Cristian Klein, Filip Krikava, Sasa Misailovic, Alessandro Vittorio Papadopoulos, Suprio Ray, Amir Molzam Sharifloo, Stepan Shevtsov, Mateusz Ujma, Thomas Vogel:
Software Engineering Meets Control Theory. SEAMS@ICSE 2015: 71-82 - 2014
- [c15]Sasa Misailovic, Michael Carbin, Sara Achour, Zichao Qi, Martin C. Rinard:
Chisel: reliability- and accuracy-aware optimization of approximate computational kernels. OOPSLA 2014: 309-328 - 2013
- [c14]Michael Carbin, Sasa Misailovic, Martin C. Rinard:
Verifying quantitative reliability for programs that execute on unreliable hardware. OOPSLA 2013: 33-52 - [c13]Michael Carbin, Deokhwan Kim, Sasa Misailovic, Martin C. Rinard:
Verified integrity properties for safe approximate program transformations. PEPM 2013: 63-66 - 2012
- [c12]Sasa Misailovic, Stelios Sidiroglou, Martin C. Rinard:
Dancing with uncertainty. RACES@SPLASH 2012: 51-60 - [c11]Michael Kling, Sasa Misailovic, Michael Carbin, Martin C. Rinard:
Bolt: on-demand infinite loop escape in unmodified binaries. OOPSLA 2012: 431-450 - [c10]Michael Carbin, Deokhwan Kim, Sasa Misailovic, Martin C. Rinard:
Proving acceptability properties of relaxed nondeterministic approximate programs. PLDI 2012: 169-180 - [c9]Zeyuan Allen Zhu, Sasa Misailovic, Jonathan A. Kelner, Martin C. Rinard:
Randomized accuracy-aware program transformations for efficient approximate computations. POPL 2012: 441-454 - 2011
- [c8]Henry Hoffmann, Stelios Sidiroglou, Michael Carbin, Sasa Misailovic, Anant Agarwal, Martin C. Rinard:
Dynamic knobs for responsive power-aware computing. ASPLOS 2011: 199-212 - [c7]Michael Carbin, Sasa Misailovic, Michael Kling, Martin C. Rinard:
Detecting and Escaping Infinite Loops with Jolt. ECOOP 2011: 609-633 - [c6]Sasa Misailovic, Daniel M. Roy, Martin C. Rinard:
Probabilistically Accurate Program Transformations. SAS 2011: 316-333 - [c5]Stelios Sidiroglou-Douskos, Sasa Misailovic, Henry Hoffmann, Martin C. Rinard:
Managing performance vs. accuracy trade-offs with loop perforation. SIGSOFT FSE 2011: 124-134 - 2010
- [c4]Sasa Misailovic, Stelios Sidiroglou, Henry Hoffmann, Martin C. Rinard:
Quality of service profiling. ICSE (1) 2010: 25-34 - [c3]Martin C. Rinard, Henry Hoffmann, Sasa Misailovic, Stelios Sidiroglou:
Patterns and statistical analysis for understanding reduced resource computing. OOPSLA 2010: 806-821 - 2007
- [c2]Aleksandar Milicevic, Sasa Misailovic, Darko Marinov, Sarfraz Khurshid:
Korat: A Tool for Generating Structurally Complex Test Inputs. ICSE 2007: 771-774 - [c1]Sasa Misailovic, Aleksandar Milicevic, Nemanja Petrovic, Sarfraz Khurshid, Darko Marinov:
Parallel test generation and execution with Korat. ESEC/SIGSOFT FSE 2007: 135-144
Informal and Other Publications
- 2024
- [i11]Shubham Ugare, Tarun Suresh, Hangoo Kang, Sasa Misailovic, Gagandeep Singh:
Improving LLM Code Generation with Grammar Augmentation. CoRR abs/2403.01632 (2024) - [i10]Keyur Joshi, Rahul Singh, Tommaso Bassetto, Sarita V. Adve, Darko Marinov, Sasa Misailovic:
FastFlip: Compositional Error Injection Analysis. CoRR abs/2403.13989 (2024) - [i9]Tarun Suresh, Shubham Ugare, Gagandeep Singh, Sasa Misailovic:
Is Watermarking LLM-Generated Code Robust? CoRR abs/2403.17983 (2024) - 2023
- [i8]Matevz Fabjancic, Octavian Machidon, Hashim Sharif, Yifan Zhao, Sasa Misailovic, Veljko Pejovic:
Mobiprox: Supporting Dynamic Approximate Computing on Mobiles. CoRR abs/2303.11291 (2023) - [i7]Shubham Ugare, Debangshu Banerjee, Sasa Misailovic, Gagandeep Singh:
Incremental Verification of Neural Networks. CoRR abs/2304.01874 (2023) - [i6]Shubham Ugare, Tarun Suresh, Debangshu Banerjee, Gagandeep Singh, Sasa Misailovic:
Incremental Randomized Smoothing Certification. CoRR abs/2305.19521 (2023) - 2022
- [i5]Rem Yang, Jacob Laurel, Sasa Misailovic, Gagandeep Singh:
Training Certifiably Robust Neural Networks Against Semantic Perturbations. CoRR abs/2207.11177 (2022) - [i4]Keyur Joshi, Chiao Hsieh, Sayan Mitra, Sasa Misailovic:
Estimating Uncertainty of Autonomous Vehicle Systems with Generalized Polynomial Chaos. CoRR abs/2208.02232 (2022) - 2021
- [i3]Chiao Hsieh, Keyur Joshi, Sasa Misailovic, Sayan Mitra:
Verifying Controllers with Convolutional Neural Network-based Perception: A Case for Intelligible, Safe, and Precise Abstractions. CoRR abs/2111.05534 (2021) - 2018
- [i2]Phillip Stanley-Marbell, Armin Alaghi, Michael Carbin, Eva Darulova, Lara Dolecek, Andreas Gerstlauer, Ghayoor Gillani, Djordje Jevdjic, Thierry Moreau, Mattia Cacciotti, Alexandros Daglis, Natalie D. Enright Jerger, Babak Falsafi, Sasa Misailovic, Adrian Sampson, Damien Zufferey:
Exploiting Errors for Efficiency: A Survey from Circuits to Algorithms. CoRR abs/1809.05859 (2018) - 2015
- [i1]Antonio Filieri, Marta Kwiatkowska, Sasa Misailovic, Todd Mytkowicz:
Approximate and Probabilistic Computing: Design, Coding, Verification (Dagstuhl Seminar 15491). Dagstuhl Reports 5(11): 151-179 (2015)
Coauthor Index
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