2025
Leveraging Axis-Aligned Subspaces for High-Dimensional Bayesian Optimization with Group Testing.
CoRR, April, 2025
Understanding High-Dimensional Bayesian Optimization.
CoRR, February, 2025
Exploring Exploration in Bayesian Optimization.
CoRR, February, 2025
A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization.
CoRR, January, 2025
2024
CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization.
CoRR, 2024
Vanilla Bayesian Optimization Performs Great in High Dimensions.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
A General Framework for User-Guided Bayesian Optimization.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
High-dimensional Bayesian Optimization with Group Testing.
CoRR, 2023
Bounce: a Reliable Bayesian Optimization Algorithm for Combinatorial and Mixed Spaces.
CoRR, 2023
Out-of-Distribution Detection for Adaptive Computer Vision.
Proceedings of the Image Analysis - 22nd Scandinavian Conference, 2023
Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Self-Correcting Bayesian Optimization through Bayesian Active Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Homunculus: Auto-Generating Efficient Data-Plane ML Pipelines for Datacenter Networks.
Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023
BaCO: A Fast and Portable Bayesian Compiler Optimization Framework.
Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023
2022
Combining Planning, Reasoning and Reinforcement Learning to solve Industrial Robot Tasks.
CoRR, 2022
Falsification of Cyber-Physical Systems using Bayesian Optimization.
CoRR, 2022
πBO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization.
CoRR, 2022
Skill-based Multi-objective Reinforcement Learning of Industrial Robot Tasks with Planning and Knowledge Integration.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022
Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Joint Entropy Search For Maximally-Informed Bayesian Optimization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
$\pi$BO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Learning Skill-based Industrial Robot Tasks with User Priors.
Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022
LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso.
Proceedings of the International Conference on Automated Machine Learning, 2022
HPVM2FPGA: Enabling True Hardware-Agnostic FPGA Programming.
Proceedings of the 33rd IEEE International Conference on Application-specific Systems, 2022
2021
Bayesian Optimization with a Prior for the Optimum.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021
Learning of Parameters in Behavior Trees for Movement Skills.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
2020
Prior-guided Bayesian Optimization.
CoRR, 2020
2019
Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark.
ACM SIGOPS Oper. Syst. Rev., 2019
DeepFreak: Learning Crystallography Diffraction Patterns with Automated Machine Learning.
CoRR, 2019
HyperMapper: a Practical Design Space Exploration Framework.
Proceedings of the 27th IEEE International Symposium on Modeling, 2019
Practical Design Space Exploration.
Proceedings of the 27th IEEE International Symposium on Modeling, 2019
Polystore++: Accelerated Polystore System for Heterogeneous Workloads.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019
2018
Efficient Octree-Based Volumetric SLAM Supporting Signed-Distance and Occupancy Mapping.
IEEE Robotics Autom. Lett., 2018
Navigating the Landscape for Real-Time Localization and Mapping for Robotics and Virtual and Augmented Reality.
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Proc. IEEE, 2018
Navigating the Landscape for Real-time Localisation and Mapping for Robotics and Virtual and Augmented Reality.
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CoRR, 2018
Exploring the Utility of Developer Exhaust.
Proceedings of the Second Workshop on Data Management for End-To-End Machine Learning, 2018
Spatial: a language and compiler for application accelerators.
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Proceedings of the 39th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2018
Algorithmic Performance-Accuracy Trade-off in 3D Vision Applications.
Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2018
SLAMBench2: Multi-Objective Head-to-Head Benchmarking for Visual SLAM.
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Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018
2017
Algorithmic Performance-Accuracy Trade-off in 3D Vision Applications Using HyperMapper.
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017
Application-oriented design space exploration for SLAM algorithms.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017
2016
A numbering algorithm for finite element on extruded meshes which avoids the unstructured mesh penalty.
CoRR, 2016
Diplomat: Mapping of Multi-kernel Applications Using a Static Dataflow Abstraction.
Proceedings of the 24th IEEE International Symposium on Modeling, 2016
Comparative design space exploration of dense and semi-dense SLAM.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016
Integrating Algorithmic Parameters into Benchmarking and Design Space Exploration in 3D Scene Understanding.
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Proceedings of the 2016 International Conference on Parallel Architectures and Compilation, 2016
2015
Reasoning in complex environments with the SelectScript declarative language.
CoRR, 2015
Introducing SLAMBench, a performance and accuracy benchmarking methodology for SLAM.
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Proceedings of the IEEE International Conference on Robotics and Automation, 2015
2012
YAO: A Generator of Parallel Code for Variational Data Assimilation Applications.
Proceedings of the 14th IEEE International Conference on High Performance Computing and Communication & 9th IEEE International Conference on Embedded Software and Systems, 2012
2011
Formalisation et automatisation de YAO, générateur de code pour l'assimilation variationnelle de données.
PhD thesis, 2011
2009
YAO: A Software for Variational Data Assimilation Using Numerical Models.
Proceedings of the Computational Science and Its Applications, 2009