Luigi Nardi

79 papers A* 15A 3B 5Journal 40Unranked 13
YearRankTypeTitle / Venue / Authors
2025 A* conf
A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization.
ICML
Nuojin Cheng, Leonard Papenmeier, Stephen Becker, Luigi Nardi
2025 J jnl
A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization.
CoRR
Nuojin Cheng, Leonard Papenmeier, Stephen Becker, Luigi Nardi
2025 J jnl
Bencher: Simple and Reproducible Benchmarking for Black-Box Optimization.
CoRR
Leonard Papenmeier, Luigi Nardi
2025 — conf
CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization.
AutoML
Jacob O. Tørring, Carl Hvarfner, Luigi Nardi, Magnus Själander
2025 A conf
Exploring Exploration in Bayesian Optimization.
UAI
Leonard Papenmeier, Nuojin Cheng, Stephen Becker, Luigi Nardi
2025 J jnl
Exploring Exploration in Bayesian Optimization.
CoRR
Leonard Papenmeier, Nuojin Cheng, Stephen Becker, Luigi Nardi
2025 J jnl
Falsification of Cyber-physical Systems Using Bayesian Optimization.
ACM Trans. Embed. Comput. Syst.
Zahra Ramezani, Kenan Sehic, Luigi Nardi, Knut Åkesson
2025 J jnl
Leveraging Axis-Aligned Subspaces for High-Dimensional Bayesian Optimization with Group Testing.
CoRR
Erik Hellsten, Carl Hvarfner, Leonard Papenmeier, Luigi Nardi
2025 A* conf
Understanding High-Dimensional Bayesian Optimization.
ICML
Leonard Papenmeier, Matthias Poloczek, Luigi Nardi
2025 J jnl
Understanding High-Dimensional Bayesian Optimization.
CoRR
Leonard Papenmeier, Matthias Poloczek, Luigi Nardi
2024 A* conf
A General Framework for User-Guided Bayesian Optimization.
ICLR
Carl Hvarfner, Frank Hutter, Luigi Nardi
2024 J jnl
CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization.
CoRR
Jacob O. Tørring, Carl Hvarfner, Luigi Nardi, Magnus Själander
2024 A* conf
Vanilla Bayesian Optimization Performs Great in High Dimensions.
ICML
Carl Hvarfner, Erik Orm Hellsten, Luigi Nardi
2024 J jnl
Vanilla Bayesian Optimization Performs Great in High Dimensions.
CoRR
Carl Hvarfner, Erik Orm Hellsten, Luigi Nardi
2023 J jnl
A General Framework for User-Guided Bayesian Optimization.
CoRR
Carl Hvarfner, Frank Hutter, Luigi Nardi
2023 — conf
BaCO: A Fast and Portable Bayesian Compiler Optimization Framework.
ASPLOS (4)
Erik Orm Hellsten, Artur L. F. Souza, Johannes Lenfers, Rubens Lacouture, Olivia Hsu, Adel Ejjeh, Fredrik Kjolstad, Michel Steuwer, Kunle Olukotun, Luigi Nardi
2023 A* conf
Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces.
NeurIPS
Leonard Papenmeier, Luigi Nardi, Matthias Poloczek
2023 J jnl
Bounce: a Reliable Bayesian Optimization Algorithm for Combinatorial and Mixed Spaces.
CoRR
Leonard Papenmeier, Luigi Nardi, Matthias Poloczek
2023 J jnl
High-dimensional Bayesian Optimization with Group Testing.
CoRR
Erik Orm Hellsten, Carl Hvarfner, Leonard Papenmeier, Luigi Nardi
2023 — conf
Homunculus: Auto-Generating Efficient Data-Plane ML Pipelines for Datacenter Networks.
ASPLOS (3)
Tushar Swamy, Annus Zulfiqar, Luigi Nardi, Muhammad Shahbaz, Kunle Olukotun
2023 J jnl
Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces.
CoRR
Leonard Papenmeier, Luigi Nardi, Matthias Poloczek
2023 — conf
Out-of-Distribution Detection for Adaptive Computer Vision.
SCIA (2)
Simon Kristoffersson Lind, Rudolph Triebel, Luigi Nardi, Volker Krüger
2023 J jnl
Out-of-Distribution Detection for Adaptive Computer Vision.
CoRR
Simon Kristoffersson Lind, Rudolph Triebel, Luigi Nardi, Volker Krüger
2023 A* conf
PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning.
NeurIPS
Neeratyoy Mallik, Edward Bergman, Carl Hvarfner, Danny Stoll, Maciej Janowski, Marius Lindauer, Luigi Nardi, Frank Hutter
2023 J jnl
PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning.
CoRR
Neeratyoy Mallik, Edward Bergman, Carl Hvarfner, Danny Stoll, Maciej Janowski, Marius Lindauer, Luigi Nardi, Frank Hutter
2023 — ed.
Proceedings of the 3rd Workshop on Machine Learning and Systems, EuroMLSys 2023, Rome, Italy, 8 May 2023
EuroMLSys@EuroSys
Eiko Yoneki, Luigi Nardi
2023 A* conf
Self-Correcting Bayesian Optimization through Bayesian Active Learning.
NeurIPS
Carl Hvarfner, Erik Hellsten, Frank Hutter, Luigi Nardi
2023 J jnl
Self-Correcting Bayesian Optimization through Bayesian Active Learning.
CoRR
Carl Hvarfner, Erik Hellsten, Frank Hutter, Luigi Nardi
2022 A* conf
$\pi$BO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization.
ICLR
Carl Hvarfner, Danny Stoll, Artur L. F. Souza, Marius Lindauer, Frank Hutter, Luigi Nardi
2022 J jnl
BaCO: A Fast and Portable Bayesian Compiler Optimization Framework.
CoRR
Erik Hellsten, Artur L. F. Souza, Johannes Lenfers, Rubens Lacouture, Olivia Hsu, Adel Ejjeh, Fredrik Kjolstad, Michel Steuwer, Kunle Olukotun, Luigi Nardi
2022 J jnl
Combining Planning, Reasoning and Reinforcement Learning to solve Industrial Robot Tasks.
CoRR
Matthias Mayr, Faseeh Ahmad, Konstantinos I. Chatzilygeroudis, Luigi Nardi, Volker Krüger
2022 — ed.
EuroMLSys '22: Proceedings of the 2nd European Workshop on Machine Learning and Systems, Rennes, France, April 5 - 8, 2022
EuroMLSys@EuroSys
Eiko Yoneki, Luigi Nardi
2022 J jnl
Falsification of Cyber-Physical Systems using Bayesian Optimization.
CoRR
Zahra Ramezani, Kenan Sehic, Luigi Nardi, Knut Åkesson
2022 — conf
HPVM2FPGA: Enabling True Hardware-Agnostic FPGA Programming.
ASAP
Adel Ejjeh, Leon Medvinsky, Aaron Councilman, Hemang Nehra, Suraj Sharma, Vikram S. Adve, Luigi Nardi, Eriko Nurvitadhi, Rob A. Rutenbar
2022 J jnl
Homunculus: Auto-Generating Efficient Data-Plane ML Pipelines for Datacenter Networks.
CoRR
Tushar Swamy, Annus Zulfiqar, Luigi Nardi, Muhammad Shahbaz, Kunle Olukotun
2022 A* conf
Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces.
NeurIPS
Leonard Papenmeier, Luigi Nardi, Matthias Poloczek
2022 A* conf
Joint Entropy Search For Maximally-Informed Bayesian Optimization.
NeurIPS
Carl Hvarfner, Frank Hutter, Luigi Nardi
2022 J jnl
Joint Entropy Search For Maximally-Informed Bayesian Optimization.
CoRR
Carl Hvarfner, Frank Hutter, Luigi Nardi
2022 — conf
LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso.
AutoML
Kenan Sehic, Alexandre Gramfort, Joseph Salmon, Luigi Nardi
2022 — conf
Learning Skill-based Industrial Robot Tasks with User Priors.
CASE
Matthias Mayr, Carl Hvarfner, Konstantinos I. Chatzilygeroudis, Luigi Nardi, Volker Krüger
2022 J jnl
Learning Skill-based Industrial Robot Tasks with User Priors.
CoRR
Matthias Mayr, Carl Hvarfner, Konstantinos I. Chatzilygeroudis, Luigi Nardi, Volker Krüger
2022 — conf
Skill-based Multi-objective Reinforcement Learning of Industrial Robot Tasks with Planning and Knowledge Integration.
ROBIO
Matthias Mayr, Faseeh Ahmad, Konstantinos I. Chatzilygeroudis, Luigi Nardi, Volker Krüger
2022 J jnl
Skill-based Multi-objective Reinforcement Learning of Industrial Robot Tasks with Planning and Knowledge Integration.
CoRR
Matthias Mayr, Faseeh Ahmad, Konstantinos I. Chatzilygeroudis, Luigi Nardi, Volker Krüger
2022 J jnl
πBO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization.
CoRR
Carl Hvarfner, Danny Stoll, Artur L. F. Souza, Marius Lindauer, Frank Hutter, Luigi Nardi
2021 — conf
Bayesian Optimization with a Prior for the Optimum.
ECML/PKDD (3)
Artur L. F. Souza, Luigi Nardi, Leonardo B. Oliveira, Kunle Olukotun, Marius Lindauer, Frank Hutter
2021 J jnl
LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso.
CoRR
Kenan Sehic, Alexandre Gramfort, Joseph Salmon, Luigi Nardi
2021 A conf
Learning of Parameters in Behavior Trees for Movement Skills.
IROS
Matthias Mayr, Konstantinos I. Chatzilygeroudis, Faseeh Ahmad, Luigi Nardi, Volker Krüger
2021 J jnl
Learning of Parameters in Behavior Trees for Movement Skills.
CoRR
Matthias Mayr, Konstantinos I. Chatzilygeroudis, Faseeh Ahmad, Luigi Nardi, Volker Krüger
2020 J jnl
Prior-guided Bayesian Optimization.
CoRR
Artur L. F. Souza, Luigi Nardi, Leonardo B. Oliveira, Kunle Olukotun, Marius Lindauer, Frank Hutter
2019 J jnl
Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark.
ACM SIGOPS Oper. Syst. Rev.
Cody Coleman, Daniel Kang, Deepak Narayanan, Luigi Nardi, Tian Zhao, Jian Zhang, Peter Bailis, Kunle Olukotun, Christopher Ré, Matei Zaharia
2019 J jnl
DeepFreak: Learning Crystallography Diffraction Patterns with Automated Machine Learning.
CoRR
Artur L. F. Souza, Leonardo B. Oliveira, Sabine Hollatz, Matthew Feldman, Kunle Olukotun, James M. Holton, Aina E. Cohen, Luigi Nardi
2019 B conf
HyperMapper: a Practical Design Space Exploration Framework.
MASCOTS
Luigi Nardi, Artur L. F. Souza, David Koeplinger, Kunle Olukotun
2019 A conf
Polystore++: Accelerated Polystore System for Heterogeneous Workloads.
ICDCS
Rekha Singhal, Nathan Zhang, Luigi Nardi, Muhammad Shahbaz, Kunle Olukotun
2019 J jnl
Polystore++: Accelerated Polystore System for Heterogeneous Workloads.
CoRR
Rekha Singhal, Nathan Zhang, Luigi Nardi, Muhammad Shahbaz, Kunle Olukotun
2019 B conf
Practical Design Space Exploration.
MASCOTS
Luigi Nardi, David Koeplinger, Kunle Olukotun
2018 B conf
Algorithmic Performance-Accuracy Trade-off in 3D Vision Applications.
ISPASS
Bruno Bodin, Luigi Nardi, Harry Wagstaff, Paul H. J. Kelly, Michael F. P. O'Boyle
2018 J jnl
Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark.
CoRR
Cody Coleman, Daniel Kang, Deepak Narayanan, Luigi Nardi, Tian Zhao, Jian Zhang, Peter Bailis, Kunle Olukotun, Christopher Ré, Matei Zaharia
2018 J jnl
Efficient Octree-Based Volumetric SLAM Supporting Signed-Distance and Occupancy Mapping.
IEEE Robotics Autom. Lett.
Emanuele Vespa, Nikolay Nikolov, Marius Grimm, Luigi Nardi, Paul H. J. Kelly, Stefan Leutenegger
2018 — conf
Exploring the Utility of Developer Exhaust.
DEEM@SIGMOD
Jian Zhang, Max Lam, Stephanie Wang, Paroma Varma, Luigi Nardi, Kunle Olukotun, Christopher Ré
2018 J jnl
Navigating the Landscape for Real-Time Localization and Mapping for Robotics and Virtual and Augmented Reality.
Proc. IEEE
Sajad Saeedi, Bruno Bodin, Harry Wagstaff, Andy Nisbet, Luigi Nardi, John Mawer, Nicolas Melot, Oscar Palomar, Emanuele Vespa, Tom Spink, Cosmin Gorgovan, Andrew M. Webb, James Clarkson, Erik Tomusk, Thomas Debrunner, Kuba Kaszyk, Pablo González de Aledo Marugán, Andrey Rodchenko, Graham D. Riley, Christos Kotselidis, Björn Franke, Michael F. P. O'Boyle, Andrew J. Davison, Paul H. J. Kelly, Mikel Luján, Steve B. Furber
2018 J jnl
Navigating the Landscape for Real-time Localisation and Mapping for Robotics and Virtual and Augmented Reality.
CoRR
Sajad Saeedi, Bruno Bodin, Harry Wagstaff, Andy Nisbet, Luigi Nardi, John Mawer, Nicolas Melot, Oscar Palomar, Emanuele Vespa, Tom Spink, Cosmin Gorgovan, Andrew M. Webb, James Clarkson, Erik Tomusk, Thomas Debrunner, Kuba Kaszyk, Pablo González de Aledo, Andrey Rodchenko, Graham D. Riley, Christos Kotselidis, Björn Franke, Michael F. P. O'Boyle, Andrew J. Davison, Paul H. J. Kelly, Mikel Luján, Steve B. Furber
2018 J jnl
Practical Design Space Exploration.
CoRR
Luigi Nardi, David Koeplinger, Kunle Olukotun
2018 A* conf
SLAMBench2: Multi-Objective Head-to-Head Benchmarking for Visual SLAM.
ICRA
Bruno Bodin, Harry Wagstaff, Sajad Saeedi, Luigi Nardi, Emanuele Vespa, John Mawer, Andy Nisbet, Mikel Luján, Steve B. Furber, Andrew J. Davison, Paul H. J. Kelly, Michael F. P. O'Boyle
2018 J jnl
SLAMBench2: Multi-Objective Head-to-Head Benchmarking for Visual SLAM.
CoRR
Bruno Bodin, Harry Wagstaff, Sajad Saeedi, Luigi Nardi, Emanuele Vespa, John Mawer, Andy Nisbet, Mikel Luján, Steve B. Furber, Andrew J. Davison, Paul H. J. Kelly, Michael F. P. O'Boyle
2018 A* conf
Spatial: a language and compiler for application accelerators.
PLDI
David Koeplinger, Matthew Feldman, Raghu Prabhakar, Yaqi Zhang, Stefan Hadjis, Ruben Fiszel, Tian Zhao, Luigi Nardi, Ardavan Pedram, Christos Kozyrakis, Kunle Olukotun
2017 — conf
Algorithmic Performance-Accuracy Trade-off in 3D Vision Applications Using HyperMapper.
IPDPS Workshops
Luigi Nardi, Bruno Bodin, Sajad Saeedi, Emanuele Vespa, Andrew J. Davison, Paul H. J. Kelly
2017 J jnl
Algorithmic Performance-Accuracy Trade-off in 3D Vision Applications Using HyperMapper.
CoRR
Luigi Nardi, Bruno Bodin, Sajad Saeedi, Emanuele Vespa, Andrew J. Davison, Paul H. J. Kelly
2017 A* conf
Application-oriented design space exploration for SLAM algorithms.
ICRA
Sajad Saeedi, Luigi Nardi, Edward Johns, Bruno Bodin, Paul H. J. Kelly, Andrew J. Davison
2016 J jnl
A numbering algorithm for finite element on extruded meshes which avoids the unstructured mesh penalty.
CoRR
Gheorghe-Teodor Bercea, Andrew T. T. McRae, David A. Ham, Lawrence Mitchell, Florian Rathgeber, Luigi Nardi, Fabio Luporini, Paul H. J. Kelly
2016 A* conf
Comparative design space exploration of dense and semi-dense SLAM.
ICRA
M. Zeeshan Zia, Luigi Nardi, Andrew Jack, Emanuele Vespa, Bruno Bodin, Paul H. J. Kelly, Andrew J. Davison
2016 B conf
Diplomat: Mapping of Multi-kernel Applications Using a Static Dataflow Abstraction.
MASCOTS
Bruno Bodin, Luigi Nardi, Paul H. J. Kelly, Michael F. P. O'Boyle
2016 B conf
Integrating Algorithmic Parameters into Benchmarking and Design Space Exploration in 3D Scene Understanding.
PACT
Bruno Bodin, Luigi Nardi, M. Zeeshan Zia, Harry Wagstaff, Govind Sreekar Shenoy, Murali Krishna Emani, John Mawer, Christos Kotselidis, Andy Nisbet, Mikel Luján, Björn Franke, Paul H. J. Kelly, Michael F. P. O'Boyle
2015 J jnl
Comparative Design Space Exploration of Dense and Semi-Dense SLAM.
CoRR
M. Zeeshan Zia, Luigi Nardi, Andrew Jack, Emanuele Vespa, Bruno Bodin, Paul H. J. Kelly, Andrew J. Davison
2015 A* conf
Introducing SLAMBench, a performance and accuracy benchmarking methodology for SLAM.
ICRA
Luigi Nardi, Bruno Bodin, M. Zeeshan Zia, John Mawer, Andy Nisbet, Paul H. J. Kelly, Andrew J. Davison, Mikel Luján, Michael F. P. O'Boyle, Graham D. Riley, Nigel P. Topham, Stephen B. Furber
2015 J jnl
Reasoning in complex environments with the SelectScript declarative language.
CoRR
André Dietrich, Sebastian Zug, Luigi Nardi, Jörg Kaiser
2014 J jnl
Introducing SLAMBench, a performance and accuracy benchmarking methodology for SLAM.
CoRR
Luigi Nardi, Bruno Bodin, M. Zeeshan Zia, John Mawer, Andy Nisbet, Paul H. J. Kelly, Andrew J. Davison, Mikel Luján, Michael F. P. O'Boyle, Graham D. Riley, Nigel P. Topham, Steve B. Furber
2012 — conf
YAO: A Generator of Parallel Code for Variational Data Assimilation Applications.
HPCC-ICESS
Luigi Nardi, Fouad Badran, Pierre Fortin, Sylvie Thiria
2011 — —
Formalisation et automatisation de YAO, générateur de code pour l'assimilation variationnelle de données.
Luigi Nardi
2009 — conf
YAO: A Software for Variational Data Assimilation Using Numerical Models.
ICCSA (2)
Luigi Nardi, Charles Sorror, Fouad Badran, Sylvie Thiria