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ORCIDAleksandar Zeljic
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Books and Theses
- 2017
[b1]Aleksandar Zeljic:
From Machine Arithmetic to Approximations and back again: Improved SMT Methods for Numeric Data Types. Uppsala University, Sweden, 2017
Journal Articles
- 2023
- [j3]Christopher A. Strong
, Haoze Wu, Aleksandar Zeljic, Kyle D. Julian, Guy Katz, Clark W. Barrett, Mykel J. Kochenderfer:
Global optimization of objective functions represented by ReLU networks. Mach. Learn. 112(10): 3685-3712 (2023) - 2021
- [j2]Peter Backeman, Philipp Rümmer, Aleksandar Zeljic:
Interpolating bit-vector formulas using uninterpreted predicates and Presburger arithmetic. Formal Methods Syst. Des. 57(2): 121-156 (2021) - 2017
- [j1]Aleksandar Zeljic, Christoph M. Wintersteiger, Philipp Rümmer:
An Approximation Framework for Solvers and Decision Procedures. J. Autom. Reason. 58(1): 127-147 (2017)
Conference and Workshop Papers
- 2024
- [c8]Haoze Wu, Omri Isac, Aleksandar Zeljic, Teruhiro Tagomori, Matthew L. Daggitt, Wen Kokke, Idan Refaeli, Guy Amir, Kyle Julian, Shahaf Bassan, Pei Huang, Ori Lahav, Min Wu, Min Zhang, Ekaterina Komendantskaya, Guy Katz, Clark W. Barrett:
Marabou 2.0: A Versatile Formal Analyzer of Neural Networks. CAV (2) 2024: 249-264 - 2022
- [c7]Haoze Wu, Aleksandar Zeljic, Guy Katz, Clark W. Barrett:
Efficient Neural Network Analysis with Sum-of-Infeasibilities. TACAS (1) 2022: 143-163 - 2020
- [c6]Haoze Wu, Alex Ozdemir, Aleksandar Zeljic, Kyle Julian, Ahmed Irfan, Divya Gopinath, Sadjad Fouladi, Guy Katz, Corina S. Pasareanu, Clark W. Barrett:
Parallelization Techniques for Verifying Neural Networks. FMCAD 2020: 128-137 - 2019
- [c5]Guy Katz, Derek A. Huang, Duligur Ibeling, Kyle Julian, Christopher Lazarus, Rachel Lim, Parth Shah, Shantanu Thakoor, Haoze Wu, Aleksandar Zeljic, David L. Dill, Mykel J. Kochenderfer, Clark W. Barrett:
The Marabou Framework for Verification and Analysis of Deep Neural Networks. CAV (1) 2019: 443-452 - 2018
- [c4]Aleksandar Zeljic, Peter Backeman, Christoph M. Wintersteiger, Philipp Rümmer:
Exploring Approximations for Floating-Point Arithmetic Using UppSAT. IJCAR 2018: 246-262 - [c3]Peter Backeman, Philipp Rümmer, Aleksandar Zeljic:
Bit-Vector Interpolation and Quantifier Elimination by Lazy Reduction. FMCAD 2018: 1-10 - 2016
- [c2]Aleksandar Zeljic, Christoph M. Wintersteiger, Philipp Rümmer:
Deciding Bit-Vector Formulas with mcSAT. SAT 2016: 249-266 - 2014
- [c1]Aleksandar Zeljic, Christoph M. Wintersteiger, Philipp Rümmer:
Approximations for Model Construction. IJCAR 2014: 344-359
Data and Artifacts
- 2022
- [d1]Haoze Wu, Aleksandar Zeljic, Guy Katz, Clark W. Barrett:
Artifact for Paper Efficient Neural Network Analysis with Sum-of-Infeasibilities. Zenodo, 2022
Informal and Other Publications
- 2024
- [i5]Haoze Wu, Omri Isac, Aleksandar Zeljic, Teruhiro Tagomori, Matthew L. Daggitt, Wen Kokke, Idan Refaeli, Guy Amir, Kyle Julian, Shahaf Bassan, Pei Huang, Ori Lahav, Min Wu, Min Zhang, Ekaterina Komendantskaya, Guy Katz, Clark W. Barrett:
Marabou 2.0: A Versatile Formal Analyzer of Neural Networks. CoRR abs/2401.14461 (2024) - 2022
- [i4]Haoze Wu, Aleksandar Zeljic, Guy Katz, Clark W. Barrett:
Efficient Neural Network Analysis with Sum-of-Infeasibilities. CoRR abs/2203.11201 (2022) - 2020
- [i3]Haoze Wu, Alex Ozdemir, Aleksandar Zeljic, Ahmed Irfan, Kyle Julian, Divya Gopinath, Sadjad Fouladi, Guy Katz, Corina S. Pasareanu, Clark W. Barrett:
Parallelization Techniques for Verifying Neural Networks. CoRR abs/2004.08440 (2020) - [i2]Christopher A. Strong, Haoze Wu, Aleksandar Zeljic, Kyle D. Julian, Guy Katz, Clark W. Barrett, Mykel J. Kochenderfer:
Global Optimization of Objective Functions Represented by ReLU Networks. CoRR abs/2010.03258 (2020) - 2017
- [i1]Aleksandar Zeljic, Peter Backeman, Christoph M. Wintersteiger, Philipp Rümmer:
Exploring Approximations for Floating-Point Arithmetic using UppSAT. CoRR abs/1711.08859 (2017)
Coauthor Index
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