Pooyan Jamshidi
Pooyan Jamshidi
Assistant Professor of Computer Science and Engineering, University of South Carolina, Google
Verified email at cse.sc.edu - Homepage
Cited by
Pretrained Language Models are Symbolic Mathematics Solvers too!
K Noorbakhsh, M Sulaiman, M Sharifi, K Roy, P Jamshidi
arXiv preprint arXiv:2110.03501, 2021
White-box analysis over machine learning: Modeling performance of configurable systems
M Velez, P Jamshidi, N Siegmund, S Apel, C Kästner
2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE …, 2021
An Order-Independent Algorithm for Learning Chain Graphs
MA Javidian, M Valtorta, P Jamshidi
The International FLAIRS Conference Proceedings 34 (1), 2021
Scalable Causal Transfer Learning
MA Javidian, O Pandey, P Jamshidi
arXiv preprint arXiv:2103.00139, 2021
Accelerating Recursive Partition-Based Causal Structure Learning
M Rahman, A Rasheed, M Khan, MA Javidian, P Jamshidi, ...
arXiv preprint arXiv:2102.11545, 2021
ATHENA: A Framework based on Diverse Weak Defenses for Building Adversarial Defense
Y Meng, J Su, JM O’Kane, P Jamshidi
Kuksa: Self-adaptive Microservices in Automotive Systems
A Banijamali, P Kuvaja, M Oivo, P Jamshidi
International Conference on Product-Focused Software Process Improvement …, 2020
CADET: Debugging and Fixing Misconfigurations using Counterfactual Reasoning
R Krishna, MS Iqbal, MA Javidian, B Ray, P Jamshidi
arXiv preprint arXiv:2010.06061, 2020
AMP chain graphs: Minimal separators and structure learning algorithms
MA Javidian, M Valtorta, P Jamshidi
Journal of Artificial Intelligence Research 69, 419-470, 2020
CADET: A systematic method for debugging misconfigurations using counterfactual reasoning
R Krishna, M Shahriar Iqbal, MA Javidian, B Ray, P Jamshidi
arXiv e-prints, arXiv: 2010.06061, 2020
Learning LWF chain graphs: A Markov blanket discovery approach
MA Javidian, M Valtorta, P Jamshidi
Conference on Uncertainty in Artificial Intelligence, 1069-1078, 2020
ConfigCrusher: Towards White-box Performance Analysis for Configurable Systems
M Velez, P Jamshidi, F Sattler, N Siegmund, S Apel, C Kästner
Automated Software Engineering, 1-36, 2020
VisArch: Visualisation of Performance-based Architectural Refactorings
C Trubiani, A Aleti, S Goodwin, P Jamshidi, A van Hoorn, S Gratzl
Learning LWF Chain Graphs: an Order Independent Algorithm
MA Javidian, M Valtorta, P Jamshidi
arXiv preprint arXiv:2005.14037, 2020
Understanding the Nature of System-Related Issues in Machine Learning Frameworks: An Exploratory Study
Y Ren, G Gay, C Kästner, P Jamshidi
arXiv preprint arXiv:2005.06091, 2020
Whence to learn? transferring knowledge in configurable systems using beetle
R Krishna, V Nair, P Jamshidi, T Menzies
IEEE Transactions on Software Engineering, 2020
FlexiBO: Cost-Aware Multi-Objective Optimization of Deep Neural Networks
MS Iqbal, J Su, L Kotthoff, P Jamshidi
arXiv preprint arXiv:2001.06588, 2020
High-throughput experimentation meets artificial intelligence: a new pathway to catalyst discovery
K McCullough, T Williams, K Mingle, P Jamshidi, J Lauterbach
Physical Chemistry Chemical Physics 22 (20), 11174-11196, 2020
Microservices and containers
C Pahl, P Jamshidi, O Zimmermann
Software Engineering 2020, 2020
Ensembles of Many Diverse Weak Defenses can be Strong: Defending Deep Neural Networks Against Adversarial Attacks
Y Meng, J Su, J O'Kane, P Jamshidi
CoRR, 2020
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