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Krzysztof Czarnecki 0001
Person information
- affiliation: University of Waterloo, Canada
Other persons with the same name
- Krzysztof Czarnecki
- Krzysztof Czarnecki 0002
— Gdansk University of Technology, Poland
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2020 – today
- 2024
- [j38]Jaeyoung Lee
, Sean Sedwards
, Krzysztof Czarnecki
:
Uniformly constrained reinforcement learning. Auton. Agents Multi Agent Syst. 38(1): 1 (2024) - [j37]Rodrigo Queiroz
, Divit Sharma, Ricardo Caldas
, Krzysztof Czarnecki
, Sergio García, Thorsten Berger
, Patrizio Pelliccione
:
A Driver-Vehicle Model for ADS Scenario-Based Testing. IEEE Trans. Intell. Transp. Syst. 25(8): 8641-8654 (2024) - [j36]Jie Wang
, Yash Vardhan Pant
, Lei Zhao, Michal Antkiewicz
, Krzysztof Czarnecki:
Enhancing Safety in Mixed Traffic: Learning-Based Modeling and Efficient Control of Autonomous and Human-Driven Vehicles. IEEE Trans. Intell. Transp. Syst. 25(9): 12784-12799 (2024) - [c192]Prarthana Bhattacharyya, Chengjie Huang, Krzysztof Czarnecki:
SSL-Interactions: Pretext Tasks for Interactive Trajectory Prediction. IV 2024: 1450-1457 - [c191]Krzysztof Czarnecki
:
Dual-Process System: An Architectural Pattern for Assurable Autonomous Robots Inspired by Dual-Process Theory. SAFECOMP (Workshops) 2024: 405-411 - [c190]Chengjie Huang, Vahdat Abdelzad, Sean Sedwards, Krzysztof Czarnecki:
SOAP: Cross-sensor Domain Adaptation for 3D Object Detection Using Stationary Object Aggregation Pseudo-labelling. WACV 2024: 3340-3349 - [c189]Benjamin Thérien, Chengjie Huang, Adrian Chow, Krzysztof Czarnecki:
Object Re-Identification from Point Clouds. WACV 2024: 8362-8373 - [i61]Chengjie Huang, Vahdat Abdelzad, Sean Sedwards, Krzysztof Czarnecki:
SOAP: Cross-sensor Domain Adaptation for 3D Object Detection Using Stationary Object Aggregation Pseudo-labelling. CoRR abs/2401.04230 (2024) - [i60]Prarthana Bhattacharyya, Chengjie Huang, Krzysztof Czarnecki:
SSL-Interactions: Pretext Tasks for Interactive Trajectory Prediction. CoRR abs/2401.07729 (2024) - [i59]Huakun Shen, Boyue Caroline Hu, Krzysztof Czarnecki, Lina Marsso, Marsha Chechik:
Assessing Visually-Continuous Corruption Robustness of Neural Networks Relative to Human Performance. CoRR abs/2402.19401 (2024) - [i58]Jie Wang, Yash Vardhan Pant, Lei Zhao, Michal Antkiewicz, Krzysztof Czarnecki:
Enhancing Safety in Mixed Traffic: Learning-Based Modeling and Efficient Control of Autonomous and Human-Driven Vehicles. CoRR abs/2404.06732 (2024) - [i57]Chengjie Huang, Vahdat Abdelzad, Sean Sedwards, Krzysztof Czarnecki:
VADet: Multi-frame LiDAR 3D Object Detection using Variable Aggregation. CoRR abs/2411.13186 (2024) - 2023
- [c188]Atrisha Sarkar, Kate Larson, Krzysztof Czarnecki:
Revealed Multi-Objective Utility Aggregation in Human Driving. AAMAS 2023: 1979-1987 - [c187]Luke Rowe, Martin Ethier, Eli-Henry Dykhne, Krzysztof Czarnecki:
FJMP: Factorized Joint Multi-Agent Motion Prediction over Learned Directed Acyclic Interaction Graphs. CVPR 2023: 13745-13755 - [i56]Atrisha Sarkar, Kate Larson
, Krzysztof Czarnecki:
Revealed Multi-Objective Utility Aggregation in Human Driving. CoRR abs/2303.07435 (2023) - [i55]Benjamin Thérien, Chengjie Huang, Adrian Chow, Krzysztof Czarnecki:
Towards Object Re-Identification from Point Clouds for 3D MOT. CoRR abs/2305.10210 (2023) - [i54]Krzysztof Czarnecki, Hiroshi Kuwajima:
STEAM & MoSAFE: SOTIF Error-and-Failure Model & Analysis for AI-Enabled Driving Automation. CoRR abs/2312.09559 (2023) - 2022
- [c186]Atrisha Sarkar, Kate Larson, Krzysztof Czarnecki:
Generalized Dynamic Cognitive Hierarchy Models for Strategic Driving Behavior. AAAI 2022: 5173-5182 - [c185]Prarthana Bhattacharyya, Chengjie Huang, Krzysztof Czarnecki:
SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous Driving. CoRL 2022: 1793-1805 - [c184]Maximilian Kahn, Atrisha Sarkar, Krzysztof Czarnecki:
I Know You Can't See Me: Dynamic Occlusion-Aware Safety Validation of Strategic Planners for Autonomous Vehicles Using Hypergames. ICRA 2022: 11202-11208 - [c183]Boyue Caroline Hu, Lina Marsso, Krzysztof Czarnecki, Rick Salay, Huakun Shen, Marsha Chechik:
If a Human Can See It, So Should Your System: Reliability Requirements for Machine Vision Components. ICSE 2022: 1145-1156 - [c182]Boyue Caroline Hu, Lina Marsso, Krzysztof Czarnecki, Marsha Chechik:
What to Check: Systematic Selection of Transformations for Analyzing Reliability of Machine Vision Components. ISSRE 2022: 49-60 - [c181]Chengjie Huang, Van Duong Nguyen, Vahdat Abdelzad, Christopher Gus Mannes, Luke Rowe, Benjamin Thérien, Rick Salay, Krzysztof Czarnecki:
Out-of-Distribution Detection for LiDAR-based 3D Object Detection. ITSC 2022: 4265-4271 - [c180]Scott Larter, Rodrigo Queiroz, Sean Sedwards, Atrisha Sarkar, Krzysztof Czarnecki:
A Hierarchical Pedestrian Behavior Model to Generate Realistic Human Behavior in Traffic Simulation. IV 2022: 533-541 - [c179]Matthew Pitropov, Chengjie Huang, Vahdat Abdelzad, Krzysztof Czarnecki, Steven L. Waslander:
LiDAR-MIMO: Efficient Uncertainty Estimation for LiDAR-based 3D Object Detection. IV 2022: 813-820 - [c178]Frédéric Bouchard
, Sean Sedwards
, Krzysztof Czarnecki
:
A Rule-Based Behaviour Planner for Autonomous Driving. RuleML+RR 2022: 263-279 - [c177]Rick Salay, Krzysztof Czarnecki
:
A Safety Assurable Human-Inspired Perception Architecture. SAFECOMP Workshops 2022: 302-315 - [i53]Jaeyoung Lee, Sean Sedwards, Krzysztof Czarnecki:
Recursive Constraints to Prevent Instability in Constrained Reinforcement Learning. CoRR abs/2201.07958 (2022) - [i52]Boyue Caroline Hu, Lina Marsso, Krzysztof Czarnecki, Rick Salay, Huakun Shen, Marsha Chechik:
If a Human Can See It, So Should Your System: Reliability Requirements for Machine Vision Components. CoRR abs/2202.03930 (2022) - [i51]Rodrigo Queiroz, Divit Sharma, Ricardo Caldas
, Krzysztof Czarnecki, Sergio García, Thorsten Berger, Patrizio Pelliccione:
A Driver-Vehicle Model for ADS Scenario-based Testing. CoRR abs/2205.02911 (2022) - [i50]Rick Salay, Krzysztof Czarnecki:
A Safety Assurable Human-Inspired Perception Architecture. CoRR abs/2205.07862 (2022) - [i49]Matthew Pitropov, Chengjie Huang, Vahdat Abdelzad, Krzysztof Czarnecki, Steven Lake Waslander:
LiDAR-MIMO: Efficient Uncertainty Estimation for LiDAR-based 3D Object Detection. CoRR abs/2206.00214 (2022) - [i48]Scott Larter, Rodrigo Queiroz, Sean Sedwards, Atrisha Sarkar, Krzysztof Czarnecki:
A Hierarchical Pedestrian Behavior Model to Generate Realistic Human Behavior in Traffic Simulation. CoRR abs/2206.01601 (2022) - [i47]Prarthana Bhattacharyya, Chengjie Huang, Krzysztof Czarnecki:
SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous Driving. CoRR abs/2206.14116 (2022) - [i46]Chengjie Huang, Van Duong Nguyen, Vahdat Abdelzad, Christopher Gus Mannes, Luke Rowe, Benjamin Thérien, Rick Salay, Krzysztof Czarnecki:
Out-of-Distribution Detection for LiDAR-based 3D Object Detection. CoRR abs/2209.14435 (2022) - [i45]Benjamin Thérien, Krzysztof Czarnecki:
Interpretable Deep Tracking. CoRR abs/2210.01266 (2022) - [i44]Luke Rowe, Benjamin Thérien, Krzysztof Czarnecki, Hongyang Zhang:
A Closer Look at Robustness to L-infinity and Spatial Perturbations and their Composition. CoRR abs/2210.02577 (2022) - [i43]Sunsheng Gu, Vahdat Abdelzad, Krzysztof Czarnecki:
XC: Exploring Quantitative Use Cases for Explanations in 3D Object Detection. CoRR abs/2210.11590 (2022) - [i42]Luke Rowe, Martin Ethier, Eli-Henry Dykhne, Krzysztof Czarnecki:
FJMP: Factorized Joint Multi-Agent Motion Prediction over Learned Directed Acyclic Interaction Graphs. CoRR abs/2211.16197 (2022) - 2021
- [j35]Matthew Pitropov
, Danson Evan Garcia
, Jason Rebello
, Michael Smart
, Carlos Wang
, Krzysztof Czarnecki
, Steven Lake Waslander
:
Canadian Adverse Driving Conditions dataset. Int. J. Robotics Res. 40(4-5) (2021) - [j34]Aravind Balakrishnan
, Jaeyoung Lee
, Ashish Gaurav
, Krzysztof Czarnecki
, Sean Sedwards
:
Transfer Reinforcement Learning for Autonomous Driving: From WiseMove to WiseSim. ACM Trans. Model. Comput. Simul. 31(3): 15:1-15:26 (2021) - [j33]Leonardo Teixeira Passos, Rodrigo Queiroz, Mukelabai Mukelabai
, Thorsten Berger
, Sven Apel
, Krzysztof Czarnecki, Jesús Alejandro Padilla:
A Study of Feature Scattering in the Linux Kernel. IEEE Trans. Software Eng. 47(1): 146-164 (2021) - [c176]Atrisha Sarkar, Krzysztof Czarnecki:
Solution Concepts in Hierarchical Games Under Bounded Rationality With Applications to Autonomous Driving. AAAI 2021: 5698-5708 - [c175]Prarthana Bhattacharyya, Chengjie Huang, Krzysztof Czarnecki:
SA-Det3D: Self-Attention Based Context-Aware 3D Object Detection. ICCVW 2021: 3022-3031 - [c174]Vahdat Abdelzad, Jaeyoung Lee, Sean Sedwards, Soheil Soltani, Krzysztof Czarnecki:
Non-divergent Imitation for Verification of Complex Learned Controllers. IJCNN 2021: 1-8 - [c173]Tsutomu Kobayashi, Rick Salay, Ichiro Hasuo, Krzysztof Czarnecki, Fuyuki Ishikawa, Shin-ya Katsumata:
Robustifying Controller Specifications of Cyber-Physical Systems Against Perceptual Uncertainty. NFM 2021: 198-213 - [i41]Prarthana Bhattacharyya, Chengjie Huang, Krzysztof Czarnecki:
Self-Attention Based Context-Aware 3D Object Detection. CoRR abs/2101.02672 (2021) - [i40]Tsutomu Kobayashi, Rick Salay, Ichiro Hasuo, Krzysztof Czarnecki, Fuyuki Ishikawa, Shin-ya Katsumata:
Robustifying Controller Specifications of Cyber-Physical Systems Against Perceptual Uncertainty. CoRR abs/2108.07509 (2021) - [i39]Rick Salay, Krzysztof Czarnecki, Hiroshi Kuwajima, Hirotoshi Yasuoka, Toshihiro Nakae, Vahdat Abdelzad, Chengjie Huang, Maximilian Kahn, Van Duong Nguyen:
The missing link: Developing a safety case for perception components in automated driving. CoRR abs/2108.13294 (2021) - [i38]Maximilian Kahn, Atrisha Sarkar, Krzysztof Czarnecki:
I Know You Can't See Me: Dynamic Occlusion-Aware Safety Validation of Strategic Planners for Autonomous Vehicles Using Hypergames. CoRR abs/2109.09807 (2021) - [i37]Atrisha Sarkar, Kate Larson, Krzysztof Czarnecki:
Generalized dynamic cognitive hierarchy models for strategic driving behavior. CoRR abs/2109.09861 (2021) - [i36]Atrisha Sarkar, Kate Larson, Krzysztof Czarnecki:
A taxonomy of strategic human interactions in traffic conflicts. CoRR abs/2109.13367 (2021) - 2020
- [c172]Rick Salay, Krzysztof Czarnecki, Maria Soledad Elli, Ignacio J. Alvarez, Sean Sedwards, Jack Weast:
PURSS: Towards Perceptual Uncertainty Aware Responsibility Sensitive Safety with ML. SafeAI@AAAI 2020: 91-95 - [c171]Ashish Gaurav, Sachin Vernekar, Jaeyoung Lee, Vahdat Abdelzad, Krzysztof Czarnecki, Sean Sedwards:
Simple Continual Learning Strategies for Safer Classifers. SafeAI@AAAI 2020: 96-104 - [c170]Boyue Caroline Hu, Rick Salay, Krzysztof Czarnecki, Mona Rahimi, Gehan M. K. Selim, Marsha Chechik:
Towards Requirements Specification for Machine-learned Perception Based on Human Performance. AIRE@RE 2020: 48-51 - [c169]Nicole Dillen, Marko Ilievski, Edith Law, Lennart E. Nacke, Krzysztof Czarnecki, Oliver Schneider:
Keep Calm and Ride Along: Passenger Comfort and Anxiety as Physiological Responses to Autonomous Driving Styles. CHI 2020: 1-13 - [c168]Aman Jhunjhunwala, Jaeyoung Lee, Sean Sedwards, Vahdat Abdelzad, Krzysztof Czarnecki:
Improved Policy Extraction via Online Q-Value Distillation. IJCNN 2020: 1-8 - [c167]Weitao Chen, Rick Salay, Sean Sedwards, Vahdat Abdelzad, Krzysztof Czarnecki:
Accelerating the Training of Convolutional Neural Networks for Image Segmentation with Deep Active Learning. ITSC 2020: 1-7 - [c166]Braden Hurl, Robin Cohen, Krzysztof Czarnecki, Steven L. Waslander:
TruPercept: Trust Modelling for Autonomous Vehicle Cooperative Perception from Synthetic Data. IV 2020: 341-347 - [c165]Henry Chen, Robin Cohen, Kerstin Dautenhahn, Edith Law, Krzysztof Czarnecki:
Autonomous Vehicle Visual Signals for Pedestrians: Experiments and Design Recommendations. IV 2020: 1819-1826 - [c164]Ryan De Iaco, Stephen L. Smith, Krzysztof Czarnecki:
Safe Swerve Maneuvers for Autonomous Driving. IV 2020: 1941-1948 - [c163]Johnathan DiMatteo, Daniel M. Berry, Krzysztof Czarnecki:
Requirements for Monitoring Inattention of the Responsible Human in an Autonomous Vehicle: The Recall and Precision Tradeoff. REFSQ Workshops 2020 - [c162]Leonardo Teixeira Passos, Rodrigo Queiroz, Mukelabai Mukelabai, Thorsten Berger, Sven Apel, Krzysztof Czarnecki, Jesús Alejandro Padilla:
A Study of Feature Scattering in the Linux Kernel. SE 2020: 81 - [c161]Pavel Valov, Jianmei Guo, Krzysztof Czarnecki:
Transferring Pareto Frontiers across Heterogeneous Hardware Environments. ICPE 2020: 12-23 - [i35]Matthew Pitropov, Danson Evan Garcia, Jason Rebello, Michael Smart, Carlos Wang, Krzysztof Czarnecki, Steven Lake Waslander:
Canadian Adverse Driving Conditions Dataset. CoRR abs/2001.10117 (2020) - [i34]Ryan De Iaco, Stephen L. Smith, Krzysztof Czarnecki:
Universally Safe Swerve Manoeuvres for Autonomous Driving. CoRR abs/2001.11159 (2020) - [i33]Vahdat Abdelzad, Krzysztof Czarnecki, Rick Salay:
The Effect of Optimization Methods on the Robustness of Out-of-Distribution Detection Approaches. CoRR abs/2006.14584 (2020) - [i32]Prarthana Bhattacharyya, Krzysztof Czarnecki:
Deformable PV-RCNN: Improving 3D Object Detection with Learned Deformations. CoRR abs/2008.08766 (2020) - [i31]Atrisha Sarkar, Krzysztof Czarnecki:
Solution Concepts in Hierarchical Games with Applications to Autonomous Driving. CoRR abs/2009.10033 (2020) - [i30]Henry Chen, Robin Cohen, Kerstin Dautenhahn, Edith Law, Krzysztof Czarnecki:
Autonomous Vehicle Visual Signals for Pedestrians: Experiments and Design Recommendations. CoRR abs/2010.05115 (2020)
2010 – 2019
- 2019
- [j32]Paulius Juodisius, Atrisha Sarkar, Raghava Rao Mukkamala, Michal Antkiewicz, Krzysztof Czarnecki, Andrzej Wasowski
:
Clafer: Lightweight Modeling of Structure, Behaviour, and Variability. Art Sci. Eng. Program. 3(1): 2 (2019) - [j31]Jordan A. Ross, Alexandr Murashkin, Jia Hui Liang, Michal Antkiewicz, Krzysztof Czarnecki:
Synthesis and exploration of multi-level, multi-perspective architectures of automotive embedded systems. Softw. Syst. Model. 18(1): 739-767 (2019) - [j30]Jianmei Guo
, Jia Hui Liang, Kai Shi, Dingyu Yang, Jingsong Zhang
, Krzysztof Czarnecki, Vijay Ganesh
, Huiqun Yu:
SMTIBEA: a hybrid multi-objective optimization algorithm for configuring large constrained software product lines. Softw. Syst. Model. 18(2): 1447-1466 (2019) - [j29]Dina Zayan, Atrisha Sarkar, Michal Antkiewicz, Rita Suzana Pitangueira Maciel
, Krzysztof Czarnecki:
Example-driven modeling: on effects of using examples on structural model comprehension, what makes them useful, and how to create them. Softw. Syst. Model. 18(3): 2213-2239 (2019) - [c160]Changjian Li, Krzysztof Czarnecki:
Urban Driving with Multi-Objective Deep Reinforcement Learning. AAMAS 2019: 359-367 - [c159]Samin Khan, Buu Phan, Rick Salay, Krzysztof Czarnecki:
ProcSy: Procedural Synthetic Dataset Generation Towards Influence Factor Studies Of Semantic Segmentation Networks. CVPR Workshops 2019: 88-96 - [c158]Krzysztof Czarnecki:
Software engineering for automated vehicles: addressing the needs of cars that run on software and data. ICSE (Companion Volume) 2019: 6-8 - [c157]Atrisha Sarkar, Krzysztof Czarnecki:
A behavior driven approach for sampling rare event situations for autonomous vehicles. IROS 2019: 6407-6414 - [c156]Rick Salay, Matt Angus, Krzysztof Czarnecki:
A Safety Analysis Method for Perceptual Components in Automated Driving. ISSRE 2019: 24-34 - [c155]Jian Deng, Krzysztof Czarnecki:
MLOD: A multi-view 3D object detection based on robust feature fusion method. ITSC 2019: 279-284 - [c154]Rodrigo Queiroz, Thorsten Berger, Krzysztof Czarnecki:
GeoScenario: An Open DSL for Autonomous Driving Scenario Representation. IV 2019: 287-294 - [c153]Ryan De Iaco, Stephen L. Smith, Krzysztof Czarnecki:
Learning a Lattice Planner Control Set for Autonomous Vehicles. IV 2019: 549-556 - [c152]Erkan Baser, Venkateshwaran Balasubramanian, Prarthana Bhattacharyya, Krzysztof Czarnecki:
FANTrack: 3D Multi-Object Tracking with Feature Association Network. IV 2019: 1426-1433 - [c151]Braden Hurl, Krzysztof Czarnecki, Steven L. Waslander:
Precise Synthetic Image and LiDAR (PreSIL) Dataset for Autonomous Vehicle Perception. IV 2019: 2522-2529 - [c150]Jaeyoung Lee, Aravind Balakrishnan, Ashish Gaurav
, Krzysztof Czarnecki, Sean Sedwards:
WiseMove: A Framework to Investigate Safe Deep Reinforcement Learning for Autonomous Driving. QEST 2019: 350-354 - [c149]Rick Salay, Krzysztof Czarnecki:
Improving ML Safety with Partial Specifications. SAFECOMP Workshops 2019: 288-300 - [c148]Buu Phan, Samin Khan, Rick Salay, Krzysztof Czarnecki:
Bayesian Uncertainty Quantification with Synthetic Data. SAFECOMP Workshops 2019: 378-390 - [i29]Jaeyoung Lee, Aravind Balakrishnan, Ashish Gaurav, Krzysztof Czarnecki, Sean Sedwards:
WiseMove: A Framework for Safe Deep Reinforcement Learning for Autonomous Driving. CoRR abs/1902.04118 (2019) - [i28]Atrisha Sarkar, Krzysztof Czarnecki:
A behavior driven approach for sampling rare event situations for autonomous vehicles. CoRR abs/1903.01539 (2019) - [i27]Ryan De Iaco, Stephen L. Smith, Krzysztof Czarnecki:
Learning a Lattice Planner Control Set for Autonomous Vehicles. CoRR abs/1903.02044 (2019) - [i26]Krzysztof Czarnecki, Rick Salay:
Towards a Framework to Manage Perceptual Uncertainty for Safe Automated Driving. CoRR abs/1903.03438 (2019) - [i25]Sachin Vernekar, Ashish Gaurav, Taylor Denouden, Buu Phan, Vahdat Abdelzad, Rick Salay, Krzysztof Czarnecki:
Analysis of Confident-Classifiers for Out-of-distribution Detection. CoRR abs/1904.12220 (2019) - [i24]Braden Hurl, Krzysztof Czarnecki, Steven L. Waslander:
Precise Synthetic Image and LiDAR (PreSIL) Dataset for Autonomous Vehicle Perception. CoRR abs/1905.00160 (2019) - [i23]Erkan Baser, Venkateshwaran Balasubramanian, Prarthana Bhattacharyya, Krzysztof Czarnecki:
FANTrack: 3D Multi-Object Tracking with Feature Association Network. CoRR abs/1905.02843 (2019) - [i22]Changjian Li, Krzysztof Czarnecki:
Rethinking Expected Cumulative Reward Formalism of Reinforcement Learning: A Micro-Objective Perspective. CoRR abs/1905.10016 (2019) - [i21]Marko Ilievski, Sean Sedwards, Ashish Gaurav, Aravind Balakrishnan, Atrisha Sarkar, Jaeyoung Lee, Frédéric Bouchard, Ryan De Iaco, Krzysztof Czarnecki:
Design Space of Behaviour Planning for Autonomous Driving. CoRR abs/1908.07931 (2019) - [i20]Jian Deng, Krzysztof Czarnecki:
MLOD: A multi-view 3D object detection based on robust feature fusion method. CoRR abs/1909.04163 (2019) - [i19]Braden Hurl, Robin Cohen, Krzysztof Czarnecki, Steven L. Waslander:
TruPercept: Trust Modelling for Autonomous Vehicle Cooperative Perception from Synthetic Data. CoRR abs/1909.07867 (2019) - [i18]Sachin Vernekar, Ashish Gaurav, Vahdat Abdelzad, Taylor Denouden, Rick Salay, Krzysztof Czarnecki:
Out-of-distribution Detection in Classifiers via Generation. CoRR abs/1910.04241 (2019) - [i17]Vahdat Abdelzad, Krzysztof Czarnecki, Rick Salay, Taylor Denouden, Sachin Vernekar, Buu Phan:
Detecting Out-of-Distribution Inputs in Deep Neural Networks Using an Early-Layer Output. CoRR abs/1910.10307 (2019) - [i16]Matt Angus, Krzysztof Czarnecki, Rick Salay:
Efficacy of Pixel-Level OOD Detection for Semantic Segmentation. CoRR abs/1911.02897 (2019) - 2018
- [j28]Jianmei Guo
, Dingyu Yang, Norbert Siegmund, Sven Apel
, Atrisha Sarkar, Pavel Valov, Krzysztof Czarnecki, Andrzej Wasowski
, Huiqun Yu:
Data-efficient performance learning for configurable systems. Empir. Softw. Eng. 23(3): 1826-1867 (2018) - [c147]Edward Zulkoski, Ruben Martins, Christoph M. Wintersteiger
, Jia Hui Liang, Krzysztof Czarnecki, Vijay Ganesh
:
The Effect of Structural Measures and Merges on SAT Solver Performance. CP 2018: 436-452 - [c146]Edward Zulkoski, Ruben Martins, Christoph M. Wintersteiger
, Robert Robere, Jia Hui Liang, Krzysztof Czarnecki, Vijay Ganesh
:
Learning-Sensitive Backdoors with Restarts. CP 2018: 453-469 - [c145]Jia Liang, Hari Govind V. K., Pascal Poupart, Krzysztof Czarnecki, Vijay Ganesh
:
An Empirical Study of Branching Heuristics through the Lens of Global Learning Rate. IJCAI 2018: 5319-5323 - [c144]Matt Angus, Mohamed ElBalkini, Samin Khan, Ali Harakeh, Oles Andrienko, Cody Reading, Steven Lake Waslander
, Krzysztof Czarnecki:
Unlimited Road-scene Synthetic Annotation (URSA) Dataset. ITSC 2018: 985-992 - [c143]Ian Colwell, Buu Phan, Shahwar Saleem, Rick Salay, Krzysztof Czarnecki:
An Automated Vehicle Safety Concept Based on Runtime Restriction of the Operational Design Domain. Intelligent Vehicles Symposium 2018: 1910-1917 - [c142]Krzysztof Czarnecki:
Requirements Engineering in the Age of Societal-Scale Cyber-Physical Systems: The Case of Automated Driving. RE 2018: 3-4 - [c141]Krzysztof Czarnecki, Rick Salay:
Towards a Framework to Manage Perceptual Uncertainty for Safe Automated Driving. SAFECOMP Workshops 2018: 439-445 - [d2]Leonardo Teixeira Passos, Rodrigo Queiroz, Mukelabai Mukelabai
, Thorsten Berger, Sven Apel
, Krzysztof Czarnecki, Jesús Padilla Gaeta:
A Study of Feature Scattering in the Linux Kernel. IEEE DataPort, 2018 - [d1]Leonardo Teixeira Passos, Rodrigo Queiroz, Mukelabai Mukelabai
, Thorsten Berger, Sven Apel
, Krzysztof Czarnecki, Jesús Padilla Gaeta:
A Study of Feature Scattering in the Linux Kernel. IEEE DataPort, 2018 - [i15]Matt Angus, Mohamed ElBalkini, Samin Khan, Ali Harakeh, Oles Andrienko, Cody Reading, Steven Lake Waslander, Krzysztof Czarnecki:
Unlimited Road-scene Synthetic Annotation (URSA) Dataset. CoRR abs/1807.06056 (2018) - [i14]Paulius Juodisius, Atrisha Sarkar, Raghava Rao Mukkamala, Michal Antkiewicz, Krzysztof Czarnecki, Andrzej Wasowski:
Clafer: Lightweight Modeling of Structure, Behaviour, and Variability. CoRR abs/1807.08576 (2018) - [i13]Rick Salay, Krzysztof Czarnecki:
Using Machine Learning Safely in Automotive Software: An Assessment and Adaption of Software Process Requirements in ISO 26262. CoRR abs/1808.01614 (2018) - [i12]Changjian Li, Krzysztof Czarnecki:
Urban Driving with Multi-Objective Deep Reinforcement Learning. CoRR abs/1811.08586 (2018) - [i11]Buu Phan, Rick Salay, Krzysztof Czarnecki, Vahdat Abdelzad, Taylor Denouden, Sachin Vernekar:
Calibrating Uncertainties in Object Localization Task. CoRR abs/1811.11210 (2018) - [i10]Taylor Denouden, Rick Salay, Krzysztof Czarnecki, Vahdat Abdelzad, Buu Phan, Sachin Vernekar:
Improving Reconstruction Autoencoder Out-of-distribution Detection with Mahalanobis Distance. CoRR abs/1812.02765 (2018) - 2017
- [j27]Edward Zulkoski
, Curtis Bright
, Albert Heinle, Ilias S. Kotsireas, Krzysztof Czarnecki, Vijay Ganesh
:
Combining SAT Solvers with Computer Algebra Systems to Verify Combinatorial Conjectures. J. Autom. Reason. 58(3): 313-339 (2017) - [j26]Rodrigo Queiroz, Leonardo Teixeira Passos,