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Marko Vasic
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2020 – today
- 2022
- [j2]Marko Vasic
, Andrija Petrovic, Kaiyuan Wang, Mladen Nikolic, Rishabh Singh, Sarfraz Khurshid:
MoËT: Mixture of Expert Trees and its application to verifiable reinforcement learning. Neural Networks 151: 34-47 (2022) - 2021
- [i7]Marko Vasic, Cameron T. Chalk, Austin Luchsinger, Sarfraz Khurshid, David Soloveichik:
Programming and Training Rate-Independent Chemical Reaction Networks. CoRR abs/2109.11422 (2021) - 2020
- [j1]Marko Vasic
CRN++: Molecular programming language. Nat. Comput. 19(2): 391-407 (2020) - [c9]Marko Vasic, David Soloveichik, Sarfraz Khurshid:
CRNs Exposed: A Method for the Systematic Exploration of Chemical Reaction Networks. DNA 2020: 4:1-4:25 - [c8]Marko Vasic, Cameron T. Chalk, Sarfraz Khurshid, David Soloveichik:
Deep Molecular Programming: A Natural Implementation of Binary-Weight ReLU Neural Networks. ICML 2020: 9701-9711 - [c7]Shikhar Singh, Marko Vasic, Sarfraz Khurshid:
Designing Neural Networks Using Logical Specs. ISSRE 2020: 160-171 - [c6]Muhammad Usman, Wenxi Wang, Marko Vasic, Kaiyuan Wang, Haris Vikalo
A study of the learnability of relational properties: model counting meets machine learning (MCML). PLDI 2020: 1098-1111 - [i6]Marko Vasic, Cameron T. Chalk, Sarfraz Khurshid, David Soloveichik:
Deep Molecular Programming: A Natural Implementation of Binary-Weight ReLU Neural Networks. CoRR abs/2003.13720 (2020)
2010 – 2019
- 2019
- [c5]Marko Vasic, Aditya Kanade, Petros Maniatis, David Bieber, Rishabh Singh:
Neural Program Repair by Jointly Learning to Localize and Repair. ICLR (Poster) 2019 - [i5]Marko Vasic, Aditya Kanade, Petros Maniatis, David Bieber, Rishabh Singh:
Neural Program Repair by Jointly Learning to Localize and Repair. CoRR abs/1904.01720 (2019) - [i4]Marko Vasic, Andrija Petrovic, Kaiyuan Wang, Mladen Nikolic, Rishabh Singh, Sarfraz Khurshid:
MoËT: Interpretable and Verifiable Reinforcement Learning via Mixture of Expert Trees. CoRR abs/1906.06717 (2019) - [i3]Marko Vasic, David Soloveichik, Sarfraz Khurshid:
CRNs Exposed: Systematic Exploration of Chemical Reaction Networks. CoRR abs/1912.06197 (2019) - [i2]Muhammad Usman, Wenxi Wang, Kaiyuan Wang, Marko Vasic, Haris Vikalo, Sarfraz Khurshid:
A Study of the Learnability of Relational Properties (Model Counting Meets Machine Learning). CoRR abs/1912.11580 (2019) - 2018
- [c4]Marko Vasic, David Soloveichik, Sarfraz Khurshid:
: Molecular Programming Language. DNA 2018: 1-18 - [i1]Marko Vasic, David Soloveichik, Sarfraz Khurshid:
CRN++: Molecular Programming Language. CoRR abs/1809.07430 (2018) - 2017
- [c3]Ahmet Çelik, Marko Vasic, Aleksandar Milicevic, Milos Gligoric:
Regression test selection across JVM boundaries. ESEC/SIGSOFT FSE 2017: 809-820 - [c2]Marko Vasic, Zuhair Parvez, Aleksandar Milicevic, Milos Gligoric:
File-level vs. module-level regression test selection for .NET. ESEC/SIGSOFT FSE 2017: 848-853 - 2015
- [c1]Marko Grumic, Marko Vasic, Jelena Kovacevic, Ivan Kastelan
Porting of run-time environment for Lua-based applications. ICCE-Berlin 2015: 128-131
Coauthor Index
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