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Author search results
Likely matches
- Javier Esparza
TU Munich, Faculty of Computer Science - Jan Kretínský
Technical University of Munich, Department of Informatics, Germany - Debarghya Ghoshdastidar
Technical University of Munich, Germany
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Publication search results
found 509 matches
- 2023
- Philipp Czerner
, Javier Esparza
, Jérôme Leroux
:
Lower bounds on the state complexity of population protocols. Distributed Comput. 36(3): 209-218 (2023) - A. R. Balasubramanian, Javier Esparza, Mikhail A. Raskin:
Finding Cut-Offs in Leaderless Rendez-Vous Protocols is Easy. Log. Methods Comput. Sci. 19(4) (2023) - Florian Jüngermann, Jan Kretínský, Maximilian Weininger:
Algebraically explainable controllers: decision trees and support vector machines join forces. Int. J. Softw. Tools Technol. Transf. 25(3): 249-266 (2023) - Aishik Mandal, Michaël Perrot, Debarghya Ghoshdastidar:
A Revenue Function for Comparison-Based Hierarchical Clustering. Trans. Mach. Learn. Res. 2023 (2023) - Pascal Mattia Esser, Satyaki Mukherjee, Mahalakshmi Sabanayagam, Debarghya Ghoshdastidar:
Improved Representation Learning Through Tensorized Autoencoders. AISTATS 2023: 8294-8307 - Calvin Chau
, Jan Kretínský
, Stefanie Mohr
:
Syntactic vs Semantic Linear Abstraction and Refinement of Neural Networks. ATVA (1) 2023: 401-421 - Eszter Couillard
, Philipp Czerner
, Javier Esparza
, Rupak Majumdar
:
Making sf IP=sf PSPACE Practical: Efficient Interactive Protocols for BDD Algorithms. CAV (3) 2023: 437-458 - Jan Kretínský
, Tobias Meggendorfer
, Maximilian Prokop
, Sabine Rieder
:
Guessing Winning Policies in LTL Synthesis by Semantic Learning. CAV (1) 2023: 390-414 - Roland Guttenberg, Mikhail A. Raskin, Javier Esparza:
Geometry of Reachability Sets of Vector Addition Systems. CONCUR 2023: 6:1-6:16 - Vahid Hashemi, Jan Kretínský, Sabine Rieder
, Jessica Schmidt:
Runtime Monitoring for Out-of-Distribution Detection in Object Detection Neural Networks. FM 2023: 622-634 - Javier Esparza, Vincent P. Grande:
Black-Box Testing Liveness Properties of Partially Observable Stochastic Systems. ICALP 2023: 126:1-126:17 - Florian Dorfhuber, Julia Eisentraut, Jan Kretínský:
Learning Attack Trees by Genetic Algorithms. ICTAC 2023: 55-73 - Jan Kretínský, Tobias Meggendorfer, Maximilian Weininger:
Stopping Criteria for Value Iteration on Stochastic Games with Quantitative Objectives. LICS 2023: 1-14 - Satyaki Mukherjee, Soumendu Sundar Mukherjee, Debarghya Ghoshdastidar
:
Wasserstein Projection Pursuit of Non-Gaussian Signals. CoRR abs/2302.12693 (2023) - Javier Esparza, Vincent P. Grande:
Black-box Testing Liveness Properties of Partially Observable Stochastic Systems. CoRR abs/2303.03292 (2023) - Javier Esparza, Rubén Rubio, Salomon Sickert:
A Simple Rewrite System for the Normalization of Linear Temporal Logic. CoRR abs/2304.08872 (2023) - Jan Kretínský, Tobias Meggendorfer, Maximilian Weininger:
Stopping Criteria for Value Iteration on Stochastic Games with Quantitative Objectives. CoRR abs/2304.09930 (2023) - Eszter Couillard, Philipp Czerner, Javier Esparza, Rupak Majumdar:
Making IP=PSPACE Practical: Efficient Interactive Protocols for BDD Algorithms. CoRR abs/2305.11813 (2023) - Jan Kretínský, Tobias Meggendorfer, Maximilian Prokop, Sabine Rieder:
Guessing Winning Policies in LTL Synthesis by Semantic Learning. CoRR abs/2305.15109 (2023) - Severin Bals, Alexandros Evangelidis, Kush Grover, Jan Kretínský, Jakob Waibel:
MULTIGAIN 2.0: MDP controller synthesis for multiple mean-payoff, LTL and steady-state constraints. CoRR abs/2305.16752 (2023) - Calvin Chau, Jan Kretínský, Stefanie Mohr:
Syntactic vs Semantic Linear Abstraction and Refinement of Neural Networks. CoRR abs/2307.10891 (2023) - Anurag Singh, Mahalakshmi Sabanayagam, Krikamol Muandet, Debarghya Ghoshdastidar:
Fast Adaptive Test-Time Defense with Robust Features. CoRR abs/2307.11672 (2023) - Pascal Mattia Esser, Satyaki Mukherjee, Debarghya Ghoshdastidar:
Representation Learning Dynamics of Self-Supervised Models. CoRR abs/2309.02011 (2023) - Pascal Mattia Esser, Maximilian Fleissner, Debarghya Ghoshdastidar:
Non-Parametric Representation Learning with Kernels. CoRR abs/2309.02028 (2023) - Javier Esparza, Rubén Rubio, Salomon Sickert:
Efficient Normalization of Linear Temporal Logic. CoRR abs/2310.12613 (2023) - 2022
- Jan Kretínský
, Tobias Meggendorfer
, Clara Waldmann
, Maximilian Weininger
:
Index appearance record with preorders. Acta Informatica 59(5): 585-618 (2022) - Javier Esparza, Mikhail A. Raskin
, Christoph Welzel:
Computing Parameterized Invariants of Parameterized Petri Nets. Fundam. Informaticae 187(2-4): 197-243 (2022) - Julia Eisentraut
, Edon Kelmendi
, Jan Kretínský, Maximilian Weininger
:
Value iteration for simple stochastic games: Stopping criterion and learning algorithm. Inf. Comput. 285(Part): 104886 (2022) - Jan Kretínský, Emanuel Ramneantu, Alexander Slivinskiy, Maximilian Weininger
:
Comparison of algorithms for simple stochastic games. Inf. Comput. 289(Part): 104885 (2022) - Javier Esparza, Jan Kretínský, Jean-François Raskin, Salomon Sickert:
From linear temporal logic and limit-deterministic Büchi automata to deterministic parity automata. Int. J. Softw. Tools Technol. Transf. 24(4): 635-659 (2022)
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retrieved on 2023-12-06 04:35 CET from data curated by the dblp team
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