Krzysztof Czarnecki - researchr profile publications

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Publications with a 'Krzysztof Czarnecki' as author, editor, or advisor:

ClassExpert: a knowledge-based assistant to support reuse by specialization and modification in SmalltalkKrzysztof Czarnecki, Reinhard Hanselmann, Ulrich W. Eisenecker, Wolfgang Köpf. icsr 1996: 188-194 [doi]
Accelerating the Training of Convolutional Neural Networks for Image Segmentation with Deep Active LearningWeitao Chen, Rick Salay, Sean Sedwards, Vahdat Abdelzad, Krzysztof Czarnecki. itsc 2020: 1-7 [doi]
Home PageKrzysztof Czarnecki.
Range Fixes: Interactive Error Resolution for Software ConfigurationYingfei Xiong, Hansheng Zhang, Arnaud Hubaux, Steven She, Jie Wang, Krzysztof Czarnecki. TSE, 41(6):603-619, 2015. [doi]
Modeling and Reasoning with Multirelations, and their encoding in AlloyPeiyuan Sun, Zinovy Diskin, Michal Antkiewicz, Krzysztof Czarnecki. MoDELS 2016: 73-88 [doi]
MathCheck2: A SAT+CAS Verifier for Combinatorial ConjecturesCurtis Bright, Vijay Ganesh, Albert Heinle, Ilias S. Kotsireas, Saeed Nejati, Krzysztof Czarnecki. casc 2016: 117-133 [doi]
Modeling the Effects of AUTOSAR Overheads on Application Timing and SchedulabilityManish Chauhan, Rodolfo Pellizzoni, Krzysztof Czarnecki. dac 2017: [doi]
SATGraf: Visualizing the Evolution of SAT Formula Structure in SolversZack Newsham, William Lindsay, Vijay Ganesh, Jia Hui Liang, Sebastian Fischmeister, Krzysztof Czarnecki. sat 2015: 62-70 [doi]
Modeling and Optimizing Automotive Electric/Electronic (E/E) Architectures: Towards Making Clafer Accessible to PractitionersEldar Khalilov, Jordan Ross, Michal Antkiewicz, Markus Völter, Krzysztof Czarnecki. ISoLA 2016: 447-464 [doi]
An Empirical Study of Branching Heuristics Through the Lens of Global Learning RateJia Hui Liang, Hari Govind V. K., Pascal Poupart, Krzysztof Czarnecki, Vijay Ganesh. sat 2017: 119-135 [doi]
Requirements for Monitoring Inattention of the Responsible Human in an Autonomous Vehicle: The Recall and Precision TradeoffJohnathan DiMatteo, Daniel M. Berry, Krzysztof Czarnecki. refsq 2020: [doi]
ProcSy: Procedural Synthetic Dataset Generation Towards Influence Factor Studies Of Semantic Segmentation NetworksSamin Khan, Buu Phan, Rick Salay, Krzysztof Czarnecki. cvpr 2019: 88-96 [doi]
Solution Concepts in Hierarchical Games Under Bounded Rationality With Applications to Autonomous DrivingAtrisha Sarkar, Krzysztof Czarnecki. AAAI 2021: 5698-5708 [doi]
MathCheck2: A SAT+CAS Verifier for Combinatorial ConjecturesCurtis Bright, Vijay Ganesh, Albert Heinle, Ilias S. Kotsireas, Saeed Nejati, Krzysztof Czarnecki. synasc 2017: 13-19 [doi]
MathCheck: A Math Assistant via a Combination of Computer Algebra Systems and SAT SolversEdward Zulkoski, Vijay Ganesh, Krzysztof Czarnecki. cade 2015: 607-622 [doi]
A Model Management Imperative: Being Graphical Is Not Sufficient, You Have to Be CategoricalZinovy Diskin, Tom Maibaum, Krzysztof Czarnecki. ECMDA-FA 2015: 154-170 [doi]
Generalized Dynamic Cognitive Hierarchy Models for Strategic Driving BehaviorAtrisha Sarkar, Kate Larson, Krzysztof Czarnecki. AAAI 2022: 5173-5182 [doi]
Generative programming - principles and techniques of software engineering based on automated configuration and fragment-based component modelsKrzysztof Czarnecki. PhD thesis, Technische Universität Illmenau, Germany, 1999. [doi]
A Study of Feature Scattering in the Linux KernelLeonardo Teixeira Passos, Rodrigo Queiroz, Mukelabai Mukelabai, Thorsten Berger, Sven Apel, Krzysztof Czarnecki, Jesús Alejandro Padilla. TSE, 47(1):146-164, 2021. [doi]
FANTrack: 3D Multi-Object Tracking with Feature Association NetworkErkan Baser, Venkateshwaran Balasubramanian, Prarthana Bhattacharyya, Krzysztof Czarnecki. ivs 2019: 1426-1433 [doi]
MLOD: A multi-view 3D object detection based on robust feature fusion methodJian Deng, Krzysztof Czarnecki. itsc 2019: 279-284 [doi]
Synthesis and Exploration of Multi-level, Multi-perspective Architectures of Automotive Embedded Systems (SoSYM Abstract)Jordan A. Ross, Alexandr Murashkin, Jia Hui Liang, Michal Antkiewicz, Krzysztof Czarnecki. MoDELS 2017: 178 [doi]
Out-of-Distribution Detection for LiDAR-based 3D Object DetectionChengjie Huang, Van Duong Nguyen, Vahdat Abdelzad, Christopher Gus Mannes, Luke Rowe, Benjamin Thérien, Rick Salay, Krzysztof Czarnecki. itsc 2022: 4265-4271 [doi]
Coevolution of variability models and related software artifacts - A fresh look at evolution patterns in the Linux kernelLeonardo Teixeira Passos, Leopoldo Teixeira, Nicolas Dintzner, Sven Apel, Andrzej Wasowski, Krzysztof Czarnecki, Paulo Borba, Jianmei Guo. ese, 21(4):1744-1793, 2016. [doi]
A Hierarchical Pedestrian Behavior Model to Generate Realistic Human Behavior in Traffic SimulationScott Larter, Rodrigo Queiroz, Sean Sedwards, Atrisha Sarkar, Krzysztof Czarnecki. ivs 2022: 533-541 [doi]
SA-Det3D: Self-Attention Based Context-Aware 3D Object DetectionPrarthana Bhattacharyya, Chengjie Huang, Krzysztof Czarnecki. iccvw 2021: 3022-3031 [doi]
Robustifying Controller Specifications of Cyber-Physical Systems Against Perceptual UncertaintyTsutomu Kobayashi, Rick Salay, Ichiro Hasuo, Krzysztof Czarnecki, Fuyuki Ishikawa, Shin-ya Katsumata. NFM 2021: 198-213 [doi]
Learning Rate Based Branching Heuristic for SAT SolversJia Hui Liang, Vijay Ganesh, Pascal Poupart, Krzysztof Czarnecki. sat 2016: 123-140 [doi]
Usage scenarios for feature model synthesisSteven She, Krzysztof Czarnecki, Andrzej Wasowski. MoDELS 2012: 15-20 [doi]
What is a feature?: a qualitative study of features in industrial software product linesThorsten Berger, Daniela Lettner, Julia Rubin, Paul Grünbacher, Adeline Silva, Martin Becker 0002, Marsha Chechik, Krzysztof Czarnecki. SPLC 2015: 16-25 [doi]
Requirements Engineering in the Age of Societal-Scale Cyber-Physical Systems: The Case of Automated DrivingKrzysztof Czarnecki. RE 2018: 3-4 [doi]
Accelerating the General Simplex Procedure for Linear Real Arithmetic via GPUsSteven T. Stewart, Derek Rayside, Vijay Ganesh, Krzysztof Czarnecki. vstte 2016: 129-138 [doi]
Exponential Recency Weighted Average Branching Heuristic for SAT SolversJia Hui Liang, Vijay Ganesh, Pascal Poupart, Krzysztof Czarnecki. AAAI 2016: 3434-3440 [doi]
GeoScenario: An Open DSL for Autonomous Driving Scenario RepresentationRodrigo Queiroz, Thorsten Berger, Krzysztof Czarnecki. ivs 2019: 287-294 [doi]
Empirical comparison of regression methods for variability-aware performance predictionPavel Valov, Jianmei Guo, Krzysztof Czarnecki. SPLC 2015: 186-190 [doi]
Towards predicting feature defects in software product linesRodrigo Queiroz, Thorsten Berger, Krzysztof Czarnecki. OOPSLA 2016: 58-62 [doi]
Keep Calm and Ride Along: Passenger Comfort and Anxiety as Physiological Responses to Autonomous Driving StylesNicole Dillen, Marko Ilievski, Edith Law, Lennart E. Nacke, Krzysztof Czarnecki, Oliver Schneider 0006. CHI 2020: 1-13 [doi]
Bayesian Uncertainty Quantification with Synthetic DataBuu Phan, Samin Khan, Rick Salay, Krzysztof Czarnecki. safecomp 2019: 378-390 [doi]
Adaptive Restart and CEGAR-Based Solver for Inverting Cryptographic Hash FunctionsSaeed Nejati, Jia Hui Liang, Catherine H. Gebotys, Krzysztof Czarnecki, Vijay Ganesh. vstte 2017: 120-131 [doi]
The Problem of the Lack of Benefit of a Document to Its Producer (PotLoBoaDtiP)Daniel M. Berry, Krzysztof Czarnecki, Michal Antkiewicz, Mohamed AbdelRazik. swste 2016: 37-42 [doi]
Synthesis and exploration of multi-level, multi-perspective architectures of automotive embedded systemsJordan A. Ross, Alexandr Murashkin, Jia Hui Liang, Michal Antkiewicz, Krzysztof Czarnecki. SoSyM, 18(1):739-767, 2019. [doi]
Specifying overlaps of heterogeneous models for global consistency checkingZinovy Diskin, Yingfei Xiong, Krzysztof Czarnecki. MoDELS 2010: 42-51 [doi]
Modelling and multi-objective optimization of quality attributes in variability-rich softwareRafael Olaechea, Steven T. Stewart, Krzysztof Czarnecki, Derek Rayside. MoDELS 2012: [doi]
Where Do Configuration Constraints Stem From? An Extraction Approach and an Empirical StudySarah Nadi, Thorsten Berger, Christian Kästner, Krzysztof Czarnecki. TSE, 41(8):820-841, 2015. [doi]
Software Product Lines with Design Choices: Reasoning about Variability and Design UncertaintyMichalis Famelis, Julia Rubin, Krzysztof Czarnecki, Rick Salay, Marsha Chechik. MoDELS 2017: 93-100 [doi]
Incorporating Uncertainty into Bidirectional Model Transformations and their Delta-Lens FormalizationZinovy Diskin, Romina Eramo, Alfonso Pierantonio, Krzysztof Czarnecki. etaps 2016: 15-31 [doi]
If a Human Can See It, So Should Your System: Reliability Requirements for Machine Vision ComponentsBoyue Caroline Hu, Lina Marsso, Krzysztof Czarnecki, Rick Salay, Huakun Shen, Marsha Chechik. ICSE 2022: 1145-1156 [doi]
Transferring Pareto Frontiers across Heterogeneous Hardware EnvironmentsPavel Valov, Jianmei Guo, Krzysztof Czarnecki. wosp 2020: 12-23 [doi]
TruPercept: Trust Modelling for Autonomous Vehicle Cooperative Perception from Synthetic DataBraden Hurl, Robin Cohen, Krzysztof Czarnecki, Steven L. Waslander. ivs 2020: 341-347 [doi]
Companion Proceedings of the 15th International Conference on Modularity, Málaga, Spain, March 14 - 18, 2016Lidia Fuentes, Don S. Batory, Krzysztof Czarnecki, editors, ACM, 2016. [doi]
PURSS: Towards Perceptual Uncertainty Aware Responsibility Sensitive Safety with MLRick Salay, Krzysztof Czarnecki, Maria Soledad Elli, Ignacio J. Alvarez, Sean Sedwards, Jack Weast. AAAI 2020: 91-95 [doi]
Transfer Reinforcement Learning for Autonomous Driving: From WiseMove to WiseSimAravind Balakrishnan, Jaeyoung Lee, Ashish Gaurav, Krzysztof Czarnecki, Sean Sedwards. tomacs, 31(3), 2021. [doi]
A mathematical model of performance-relevant feature interactionsYi Zhang, Jianmei Guo, Eric Blais, Krzysztof Czarnecki, Huiqun Yu. SPLC 2016: 25-34 [doi]
The Effect of Structural Measures and Merges on SAT Solver PerformanceEdward Zulkoski, Ruben Martins, Christoph M. Wintersteiger, Jia Hui Liang, Krzysztof Czarnecki, Vijay Ganesh. cp 2018: 436-452 [doi]
Transferring Performance Prediction Models Across Different Hardware PlatformsPavel Valov, Jean-Christophe Petkovich, Jianmei Guo, Sebastian Fischmeister, Krzysztof Czarnecki. wosp 2017: 39-50 [doi]
Canadian Adverse Driving Conditions datasetMatthew Pitropov, Danson Evan Garcia, Jason Rebello, Michael Smart, Carlos Wang, Krzysztof Czarnecki, Steven Lake Waslander. ijrr, 40(4-5), 2021. [doi]
Clafer: unifying class and feature modelingKacper Bak, Zinovy Diskin, Michal Antkiewicz, Krzysztof Czarnecki, Andrzej Wasowski. SoSyM, 15(3):811-845, 2016. [doi]
A Safety Analysis Method for Perceptual Components in Automated DrivingRick Salay, Matt Angus, Krzysztof Czarnecki. issre 2019: 24-34 [doi]
A three-dimensional taxonomy for bidirectional model synchronizationZinovy Diskin, Hamid Gholizadeh, Arif Wider, Krzysztof Czarnecki. jss, 111:298-322, 2016. [doi]
A fast time-frequency multi-window analysis using a tuning directional kernelKrzysztof Czarnecki, Dominique Fourer, François Auger, Miroslaw Rojewski. sigpro, 147:110-119, 2018. [doi]
Performance prediction upon toolchain migration in model-based softwareAymen Ketata, Carlos Moreno, Sebastian Fischmeister, Jia Hui Liang, Krzysztof Czarnecki. MoDELS 2015: 302-311 [doi]
WiseMove: A Framework to Investigate Safe Deep Reinforcement Learning for Autonomous DrivingJaeyoung Lee, Aravind Balakrishnan, Ashish Gaurav, Krzysztof Czarnecki, Sean Sedwards. qest 2019: 350-354 [doi]
Combining SAT Solvers with Computer Algebra Systems to Verify Combinatorial ConjecturesEdward Zulkoski, Curtis Bright, Albert Heinle, Ilias S. Kotsireas, Krzysztof Czarnecki, Vijay Ganesh. JAR, 58(3):313-339, 2017. [doi]
Learning-Sensitive Backdoors with RestartsEdward Zulkoski, Ruben Martins, Christoph M. Wintersteiger, Robert Robere, Jia Hui Liang, Krzysztof Czarnecki, Vijay Ganesh. cp 2018: 453-469 [doi]
Towards Requirements Specification for Machine-learned Perception Based on Human PerformanceBoyue Caroline Hu, Rick Salay, Krzysztof Czarnecki, Mona Rahimi, Gehan M. K. Selim, Marsha Chechik. aire-ws 2020: 48-51 [doi]
Simple Continual Learning Strategies for Safer ClassifersAshish Gaurav, Sachin Vernekar, Jaeyoung Lee, Vahdat Abdelzad, Krzysztof Czarnecki, Sean Sedwards. AAAI 2020: 96-104 [doi]
Model-versioning-in-the-large: Algebraic foundations and the tile notationZinovy Diskin, Krzysztof Czarnecki, Michal Antkiewicz. ICSE 2009: 7-12 [doi]
SAT-based analysis of large real-world feature models is easyJia Hui (Jimmy) Liang, Vijay Ganesh, Krzysztof Czarnecki, Venkatesh Raman. SPLC 2015: 91-100 [doi]
Cost-Efficient Sampling for Performance Prediction of Configurable Systems (T)Atri Sarkar, Jianmei Guo, Norbert Siegmund, Sven Apel, Krzysztof Czarnecki. ASE 2015: 342-352 [doi]
Cloned product variants: from ad-hoc to managed software product linesJulia Rubin, Krzysztof Czarnecki, Marsha Chechik. STTT, 17(5):627-646, 2015. [doi]
Unlimited Road-scene Synthetic Annotation (URSA) DatasetMatt Angus, Mohamed ElBalkini, Samin Khan, Ali Harakeh, Oles Andrienko, Cody Reading, Steven Lake Waslander, Krzysztof Czarnecki. itsc 2018: 985-992 [doi]
Improved Policy Extraction via Online Q-Value DistillationAman Jhunjhunwala, Jaeyoung Lee, Sean Sedwards, Vahdat Abdelzad, Krzysztof Czarnecki. ijcnn 2020: 1-8 [doi]
Modeling aerospace systems product lines in SysMLJesús Padilla Gaeta, Krzysztof Czarnecki. SPLC 2015: 293-302 [doi]
Improving ML Safety with Partial SpecificationsRick Salay, Krzysztof Czarnecki. safecomp 2019: 288-300 [doi]
Learning a Lattice Planner Control Set for Autonomous VehiclesRyan De Iaco, Stephen L. Smith, Krzysztof Czarnecki. ivs 2019: 549-556 [doi]
On-demand materialization of aspects for application developmentChang Hwan Peter Kim, Krzysztof Czarnecki, Don S. Batory. AOSD 2008: [doi]
Towards a Framework to Manage Perceptual Uncertainty for Safe Automated DrivingKrzysztof Czarnecki, Rick Salay. safecomp 2018: 439-445 [doi]
SMTIBEA: a hybrid multi-objective optimization algorithm for configuring large constrained software product linesJianmei Guo, Jia Hui Liang, Kai Shi 0006, Dingyu Yang, Jingsong Zhang, Krzysztof Czarnecki, Vijay Ganesh, Huiqun Yu. SoSyM, 18(2):1447-1466, 2019. [doi]
Supporting different process views through a Shared Process ModelJochen Malte Küster, Hagen Völzer, Cédric Favre, Moisés Castelo Branco, Krzysztof Czarnecki. SoSyM, 15(4):1207-1233, 2016. [doi]
MATHCHECK: A Math Assistant via a Combination of Computer Algebra Systems and SAT SolversEdward Zulkoski, Vijay Ganesh, Krzysztof Czarnecki. IJCAI 2016: 4228-4233 [doi]
The shape of feature code: an analysis of twenty C-preprocessor-based systemsRodrigo Queiroz, Leonardo Teixeira Passos, Marco Tulio Valente, Claus Hunsen, Sven Apel, Krzysztof Czarnecki. SoSyM, 16(1):77-96, 2017. [doi]
Data-efficient performance learning for configurable systemsJianmei Guo, Dingyu Yang, Norbert Siegmund, Sven Apel, Atrisha Sarkar, Pavel Valov, Krzysztof Czarnecki, Andrzej Wasowski, Huiqun Yu. ese, 23(3):1826-1867, 2018. [doi]
Understanding VSIDS Branching Heuristics in Conflict-Driven Clause-Learning SAT SolversJia Hui Liang, Vijay Ganesh, Ed Zulkoski, Atulan Zaman, Krzysztof Czarnecki. hvc 2015: 225-241 [doi]
A Rule-Based Behaviour Planner for Autonomous DrivingFrédéric Bouchard, Sean Sedwards, Krzysztof Czarnecki. ruleml 2022: 263-279 [doi]
A Safety Assurable Human-Inspired Perception ArchitectureRick Salay, Krzysztof Czarnecki. safecomp 2022: 302-315 [doi]
Clafer: Lightweight Modeling of Structure, Behaviour, and VariabilityPaulius Juodisius, Atrisha Sarkar, Raghava Rao Mukkamala, Michal Antkiewicz, Krzysztof Czarnecki, Andrzej Wasowski. Programming, 3(1):2, 2019. [doi]
Software engineering for automated vehicles: addressing the needs of cars that run on software and dataKrzysztof Czarnecki. ICSE 2019: 6-8 [doi]
Example-driven modeling: on effects of using examples on structural model comprehension, what makes them useful, and how to create themDina Zayan, Atrisha Sarkar, Michal Antkiewicz, Rita Suzana Pitangueira Maciel, Krzysztof Czarnecki. SoSyM, 18(3):2213-2239, 2019. [doi]
Proceedings of the 15th International Conference on Modularity, MODULARITY 2016, Málaga, Spain, March 14 - 18, 2016Lidia Fuentes, Don S. Batory, Krzysztof Czarnecki, editors, ACM, 2016. [doi]
VARY 2012: VARiability for YouØystein Haugen, Jean-Marc Jézéquel, Andrzej Wasowski, Birger Møller-Pedersen, Krzysztof Czarnecki. MoDELS 2012: 1-2 [doi]
Performance Prediction of Configurable Software Systems by Fourier Learning (T)Yi Zhang, Jianmei Guo, Eric Blais, Krzysztof Czarnecki. ASE 2015: 365-373 [doi]
A Worst-Case Analysis of Constraint-Based Algorithms for Exact Multi-objective Combinatorial OptimizationJianmei Guo, Eric Blais, Krzysztof Czarnecki, Peter van Beek. ai 2017: 117-128 [doi]
Non-divergent Imitation for Verification of Complex Learned ControllersVahdat Abdelzad, Jaeyoung Lee, Sean Sedwards, Soheil Soltani, Krzysztof Czarnecki. ijcnn 2021: 1-8 [doi]
Urban Driving with Multi-Objective Deep Reinforcement LearningChangjian Li, Krzysztof Czarnecki. atal 2019: 359-367 [doi]
Safe Swerve Maneuvers for Autonomous DrivingRyan De Iaco, Stephen L. Smith, Krzysztof Czarnecki. ivs 2020: 1941-1948 [doi]
Precise Synthetic Image and LiDAR (PreSIL) Dataset for Autonomous Vehicle PerceptionBraden Hurl, Krzysztof Czarnecki, Steven L. Waslander. ivs 2019: 2522-2529 [doi]
Trajectory prediction of traffic agents at urban intersections through learned interactionsAtri Sarkar, Krzysztof Czarnecki, Matt Angus, Changjian Li, Steven Lake Waslander. itsc 2017: 1-8 [doi]
Autonomous Vehicle Visual Signals for Pedestrians: Experiments and Design RecommendationsHenry Chen, Robin Cohen, Kerstin Dautenhahn, Edith Law, Krzysztof Czarnecki. ivs 2020: 1819-1826 [doi]
Feature scattering in the large: a longitudinal study of Linux kernel device driversLeonardo Teixeira Passos, Jesús Padilla, Thorsten Berger, Sven Apel, Krzysztof Czarnecki, Marco Tulio Valente. AOSD 2015: 81-92 [doi]
Maintaining feature traceability with embedded annotationsWenbin Ji, Thorsten Berger, Michal Antkiewicz, Krzysztof Czarnecki. SPLC 2015: 61-70 [doi]
Proceedings of the VARiability for You Workshop - Variability Modeling Made Useful for Everyone, VARY '12, Innsbruck, Austria, September 30, 2012Øystein Haugen, Jean-Marc Jézéquel, Andrzej Wasowski, Birger Møller-Pedersen, Krzysztof Czarnecki, editors, ACM, 2012. [doi]
An Empirical Study of Branching Heuristics through the Lens of Global Learning RateJia Liang, Hari Govind V. K., Pascal Poupart, Krzysztof Czarnecki, Vijay Ganesh. IJCAI 2018: 5319-5323 [doi]
An Automated Vehicle Safety Concept Based on Runtime Restriction of the Operational Design DomainIan Colwell, Buu Phan, Shahwar Saleem, Rick Salay, Krzysztof Czarnecki. ivs 2018: 1910-1917 [doi]
Chirp Rate and Instantaneous Frequency Estimation: Application to Recursive Vertical SynchrosqueezingDominique Fourer, François Auger, Krzysztof Czarnecki, Sylvain Meignen, Patrick Flandrin. spl, 24(11):1724-1728, 2017. [doi]
Modelling the 'hurried' bug report reading process to summarize bug reportsRafael Lotufo, Zeeshan Malik, Krzysztof Czarnecki. ese, 20(2):516-548, 2015. [doi]
LiDAR-MIMO: Efficient Uncertainty Estimation for LiDAR-based 3D Object DetectionMatthew Pitropov, Chengjie Huang, Vahdat Abdelzad, Krzysztof Czarnecki, Steven L. Waslander. ivs 2022: 813-820 [doi]
A Study of Feature Scattering in the Linux KernelLeonardo Teixeira Passos, Rodrigo Queiroz, Mukelabai Mukelabai, Thorsten Berger, Sven Apel, Krzysztof Czarnecki, Jesús Alejandro Padilla. se 2020: 81 [doi]
I Know You Can't See Me: Dynamic Occlusion-Aware Safety Validation of Strategic Planners for Autonomous Vehicles Using HypergamesMaximilian Kahn, Atrisha Sarkar, Krzysztof Czarnecki. icra 2022: 11202-11208 [doi]

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