Department of Computer Science
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- 2024
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Mark
Boolean Matrix Multiplication for Highly Clustered Data on the Congested Clique
2024) 30th International Conference on Parallel and Distributed Computing, Euro-Par 2024 In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 14803 LNCS. p.45-58(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
A GENERAL FRAMEWORK FOR USER-GUIDED BAYESIAN OPTIMIZATION
2024) 12th International Conference on Learning Representations, ICLR 2024(
- Contribution to conference › Paper, not in proceeding
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Mark
Adaptable Recovery Behaviors in Robotics : A Behavior Trees and Motion Generators (BTMG) Approach for Failure Management
2024) 20th IEEE International Conference on Automation Science and Engineering, CASE 2024 p.1815-1822(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Software Component Update for IoT Systems
2024) 11th International Conference on Internet of Things: Systems, Management and Security, IOTSMS 2024 p.124-131(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Vanilla Bayesian Optimization Performs Great in High Dimensions
2024) 41st International Conference on Machine Learning, ICML 2024 In Proceedings of Machine Learning Research 235. p.20793-20817(
- Contribution to journal › Article
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Mark
Uncertainty quantification metrics for deep regression
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- Contribution to journal › Article
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Mark
Making the Flow Glow - Robot Perception under Severe Lighting Conditions using Normalizing Flow Gradients
2024) IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Designing A Multi-modal IDE with Developers: An Exploratory Study on Next-generation Programming Tool Assistance
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Python for Natural Language Processing : Programming with NumPy, scikit-learn, Keras, and PyTorch: Third Edition
(
- Book/Report › Book
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Mark
Automotive fault nowcasting with machine learning and natural language processing
(
- Contribution to journal › Article