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2020 – today
- 2024
[j10]Matthew Kreitzer
, Mihai Nica, Rajesh Pereira:
Using alternating de Bruijn sequences to construct de Bruijn tori. Des. Codes Cryptogr. 92(5): 1439-1454 (2024)- [j9]Cameron Jakub, Mihai Nica:
Depth Degeneracy in Neural Networks: Vanishing Angles in Fully Connected ReLU Networks on Initialization. J. Mach. Learn. Res. 25: 239:1-239:45 (2024) - [j8]Mufan Bill Li, Mihai Nica:
Differential Equation Scaling Limits of Shaped and Unshaped Neural Networks. Trans. Mach. Learn. Res. 2024 (2024) - [c28]Mike Lasby, Anna Golubeva, Utku Evci, Mihai Nica, Yani Ioannou:
Dynamic Sparse Training with Structured Sparsity. ICLR 2024 - 2023
- [j7]Angus Galloway, Anna Golubeva, Mahmoud Salem, Mihai Nica, Yani A. Ioannou, Graham W. Taylor:
Bounding generalization error with input compression: An empirical study with infinite-width networks. Trans. Mach. Learn. Res. 2023 (2023) - [j6]Xinhai Zhang, Jianbo Tao, Kaige Tan, Martin Törngren, José Manuel Gaspar Sánchez, Muhammad Rusyadi Ramli, Xin Tao, Magnus Gyllenhammar, Franz Wotawa, Naveen Mohan, Mihai Nica, Hermann Felbinger:
Finding Critical Scenarios for Automated Driving Systems: A Systematic Mapping Study. IEEE Trans. Software Eng. 49(3): 991-1026 (2023) - [c27]Griffin Floto, Stefan Kremer, Mihai Nica:
The Tilted Variational Autoencoder: Improving Out-of-Distribution Detection. ICLR 2023 - [c26]Ludwig Kampel, Michael Wagner, Dimitris E. Simos, Mihai Nica, Dino Dodig, David Kaufmann, Franz Wotawa:
Applying CT-FLA for AEB Function Testing: A Virtual Driving Case Study. ICSTW 2023: 237-245 - [i15]Cameron Jakub, Mihai Nica:
Depth Degeneracy in Neural Networks: Vanishing Angles in Fully Connected ReLU Networks on Initialization. CoRR abs/2302.09712 (2023) - [i14]Mike Lasby, Anna Golubeva, Utku Evci, Mihai Nica, Yani A. Ioannou:
Dynamic Sparse Training with Structured Sparsity. CoRR abs/2305.02299 (2023) - [i13]Cameron Jakub, Mihai Nica:
Network Degeneracy as an Indicator of Training Performance: Comparing Finite and Infinite Width Angle Predictions. CoRR abs/2306.01513 (2023) - [i12]Griffin Floto, Thorsteinn Jonsson, Mihai Nica, Scott Sanner, Eric Zhengyu Zhu:
Diffusion on the Probability Simplex. CoRR abs/2309.02530 (2023) - [i11]Mufan Bill Li, Mihai Nica:
Differential Equation Scaling Limits of Shaped and Unshaped Neural Networks. CoRR abs/2310.12079 (2023) - [i10]Michal Lisicki, Mihai Nica, Graham W. Taylor:
Bandit-Driven Batch Selection for Robust Learning under Label Noise. CoRR abs/2311.00096 (2023) - 2022
- [c25]Mufan (Bill) Li, Mihai Nica, Daniel M. Roy:
The Neural Covariance SDE: Shaped Infinite Depth-and-Width Networks at Initialization. NeurIPS 2022 - [i9]Mufan (Bill) Li, Mihai Nica, Daniel M. Roy:
The Neural Covariance SDE: Shaped Infinite Depth-and-Width Networks at Initialization. CoRR abs/2206.02768 (2022) - [i8]Angus Galloway, Anna Golubeva, Mahmoud Salem, Mihai Nica, Yani A. Ioannou, Graham W. Taylor:
Bounding generalization error with input compression: An empirical study with infinite-width networks. CoRR abs/2207.09408 (2022) - 2021
- [c24]Florian Klück, Franz Wotawa, Gerhard Neubauer, Jianbo Tao, Mihai Nica:
Analysing Experimental Results Obtained when Applying Search-based Testing to Verify Automated Driving Functions. DSA 2021: 213-219 - [c23]Mufan (Bill) Li, Mihai Nica, Daniel M. Roy:
The future is log-Gaussian: ResNets and their infinite-depth-and-width limit at initialization. NeurIPS 2021: 7852-7864 - [i7]Mufan (Bill) Li, Mihai Nica, Daniel M. Roy:
The Future is Log-Gaussian: ResNets and Their Infinite-Depth-and-Width Limit at Initialization. CoRR abs/2106.04013 (2021) - [i6]Xinhai Zhang, Jianbo Tao, Kaige Tan, Martin Törngren, José Manuel Gaspar Sánchez, Muhammad Rusyadi Ramli, Xin Tao, Magnus Gyllenhammar, Franz Wotawa, Naveen Mohan, Mihai Nica, Hermann Felbinger:
Finding Critical Scenarios for Automated Driving Systems: A Systematic Literature Review. CoRR abs/2110.08664 (2021) - [i5]Griffin Floto, Stefan Kremer, Mihai Nica:
Exponentially Tilted Gaussian Prior for Variational Autoencoder. CoRR abs/2111.15646 (2021) - 2020
- [j5]Jihun Han, Mihai Nica, Adam R. Stinchcombe:
A derivative-free method for solving elliptic partial differential equations with deep neural networks. J. Comput. Phys. 419: 109672 (2020) - [c22]Boris Hanin, Mihai Nica:
Finite Depth and Width Corrections to the Neural Tangent Kernel. ICLR 2020 - [c21]Nour Chetouane, Franz Wotawa, Hermann Felbinger, Mihai Nica:
On Using k-means Clustering for Test Suite Reduction. ICST Workshops 2020: 380-385 - [i4]Jihun Han, Mihai Nica, Adam R. Stinchcombe:
A Derivative-Free Method for Solving Elliptic Partial Differential Equations with Deep Neural Networks. CoRR abs/2001.06145 (2020) - [i3]Cameron Martin, Hongyuan Zhang, Julia Costacurta, Mihai Nica, Adam R. Stinchcombe:
Solving Elliptic Equations with Brownian Motion: Bias Reduction and Temporal Difference Learning. CoRR abs/2008.00144 (2020)
2010 – 2019
- 2019
- [c20]Hermann Felbinger, Florian Klück, Yihao Li, Mihai Nica, Jianbo Tao, Franz Wotawa, Martin Zimmermann:
Comparing two systematic approaches for testing automated driving functions. ICCVE 2019: 1-6 - [c19]Jianbo Tao, Yihao Li, Franz Wotawa, Hermann Felbinger, Mihai Nica:
On the Industrial Application of Combinatorial Testing for Autonomous Driving Functions. ICST Workshops 2019: 234-240 - [c18]Florian Klück, Martin Zimmermann, Franz Wotawa, Mihai Nica:
Performance Comparison of Two Search-Based Testing Strategies for ADAS System Validation. ICTSS 2019: 140-156 - [c17]Florian Klück, Martin Zimmermann, Franz Wotawa, Mihai Nica:
Genetic Algorithm-Based Test Parameter Optimization for ADAS System Testing. QRS 2019: 418-425 - [i2]Boris Hanin, Mihai Nica:
Finite Depth and Width Corrections to the Neural Tangent Kernel. CoRR abs/1909.05989 (2019) - 2018
- [j4]Franz Wotawa, Bernhard Peischl, Florian Klück, Mihai Nica:
Quality assurance methodologies for automated driving. Elektrotech. Informationstechnik 135(4-5): 322-327 (2018) - [c16]Hermann Felbinger, Franz Wotawa, Mihai Nica:
Adapting Unit Tests by Generating Combinatorial Test Data. ICST Workshops 2018: 352-355 - [c15]Florian Klück, Yihao Li, Mihai Nica, Jianbo Tao, Franz Wotawa:
Using Ontologies for Test Suites Generation for Automated and Autonomous Driving Functions. ISSRE Workshops 2018: 118-123 - 2017
- [c14]Hermann Felbinger, Franz Wotawa, Mihai Nica:
Mutation Score, Coverage, Model Inference: Quality Assessment for T-Way Combinatorial Test-Suites. ICST Workshops 2017: 171-180 - 2016
- [c13]Hermann Felbinger, Franz Wotawa, Mihai Nica:
Empirical study of correlation between mutation score and model inference based test suite adequacy assessment. AST@ICSE 2016: 43-49 - [c12]Ingo Pill, Ivan Rubil, Franz Wotawa, Mihai Nica:
SIMULTATE: A Toolset for Fault Injection and Mutation Testing of Simulink Models. ICST Workshops 2016: 168-173 - [c11]Hermann Felbinger, Franz Wotawa, Mihai Nica:
Test-Suite Reduction Does Not Necessarily Require Executing the Program under Test. QRS Companion 2016: 23-30 - [e1]Franz Wotawa, Mihai Nica, Natalia Kushik:
Testing Software and Systems - 28th IFIP WG 6.1 International Conference, ICTSS 2016, Graz, Austria, October 17-19, 2016, Proceedings. Lecture Notes in Computer Science 9976, 2016, ISBN 978-3-319-47442-7 [contents] - 2015
- [c10]Ingo Pill, Seema Jehan, Franz Wotawa, Mihai Nica:
Analyzing the reduction of test suite redundancy. ISSRE Workshops 2015: 65 - [i1]Mihai Nica:
Optimal Strategy in "Guess Who?". CoRR abs/1509.03327 (2015) - 2013
- [j3]Mihai Nica, Simona Nica, Franz Wotawa:
On the use of mutations and testing for debugging. Softw. Pract. Exp. 43(9): 1121-1142 (2013) - 2012
- [j2]Franz Wotawa, Mihai Nica, Iulia Moraru:
Automated debugging based on a constraint model of the program and a test case. J. Log. Algebraic Methods Program. 81(4): 390-407 (2012) - 2011
- [c9]Franz Wotawa, Mihai Nica:
Program Debugging Using Constraints - Is it Feasible? QSIC 2011: 236-243 - [c8]Franz Wotawa, Simona Nica, Mihai Nica:
Debugging and test case generation using constraints and mutations. WISES 2011: 95-100 - 2010
- [c7]Franz Wotawa, Mihai Nica, Bernhard K. Aichernig:
Generating Distinguishing Tests Using the Minion Constraint Solver. ICST Workshops 2010: 325-330 - [c6]Mihai Nica, Simona Nica, Franz Wotawa:
Does Testing Help to Reduce the Number of Potentially Faulty Statements in Debugging? TAIC PART 2010: 88-103
2000 – 2009
- 2009
- [c5]Franz Wotawa, Jörg Weber, Mihai Nica, Rafael Ceballos:
On the Complexity of Program Debugging Using Constraints for Modeling the Program's Syntax and Semantics. CAEPIA 2009: 22-31 - [c4]Bernhard Peischl, Mihai Nica, Markus Zanker, Wolfgang Schmid:
Recommending Effort Estimation Methods for Software Project Management. Web Intelligence/IAT Workshops 2009: 77-80 - 2008
- [j1]Franz Wotawa, Mihai Nica:
On the Compilation of Programs into their Equivalent Constraint Representation. Informatica (Slovenia) 32(4): 359-371 (2008) - [c3]Mihai Nica, Franz Wotawa:
From constraint representations of sequential code and program annotations to their use in debugging. ECAI 2008: 797-798 - [c2]Mihai Nica, Bernhard Peischl, Franz Wotawa:
A Constraint Model for Automated Deployment of Automotive Control Software. SEKE 2008: 899-904 - 2007
- [c1]Franz Wotawa, Mihai Nica:
Converting Programs into Constraint Satisfaction Problems. IDC 2007: 228-236
Coauthor Index
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last updated on 2024-09-18 00:17 CEST by the dblp team
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