Luigi Nardi

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 59

Top Venues

Conservatoire national des arts et métiers, Paris, France (PHD)

Education History

Conservatoire national des arts et métiers, Paris, France

PHD

Publications

Carl Hvarfner, Frank Hutter, Luigi Nardi
A General Framework for User-Guided Bayesian Optimization. ICLR (2024)
Carl Hvarfner, Erik Orm Hellsten, Luigi Nardi
Vanilla Bayesian Optimization Performs Great in High Dimensions. CoRR (2024)
Jacob O. Tørring, Carl Hvarfner, Luigi Nardi, Magnus Själander
CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization. CoRR (2024)
Leonard Papenmeier, Luigi Nardi, Matthias Poloczek
Bounce: a Reliable Bayesian Optimization Algorithm for Combinatorial and Mixed Spaces. CoRR (2023)
Simon Kristoffersson Lind, Rudolph Triebel, Luigi Nardi, Volker Krüger
Out-of-Distribution Detection for Adaptive Computer Vision. CoRR (2023)
Leonard Papenmeier, Luigi Nardi, Matthias Poloczek
Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces. NeurIPS (2023)
Erik Orm Hellsten, Artur L. F. Souza, Johannes Lenfers, Rubens Lacouture, Olivia Hsu, Adel Ejjeh, Fredrik Kjolstad, Michel Steuwer, Kunle Olukotun, Luigi Nardi
BaCO: A Fast and Portable Bayesian Compiler Optimization Framework. ASPLOS (4) (2023)
Leonard Papenmeier, Luigi Nardi, Matthias Poloczek
Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces. CoRR (2023)
Erik Orm Hellsten, Carl Hvarfner, Leonard Papenmeier, Luigi Nardi
High-dimensional Bayesian Optimization with Group Testing. CoRR (2023)
Carl Hvarfner, Erik Hellsten, Frank Hutter, Luigi Nardi
Self-Correcting Bayesian Optimization through Bayesian Active Learning. NeurIPS (2023)
Tushar Swamy, Annus Zulfiqar, Luigi Nardi, Muhammad Shahbaz, Kunle Olukotun
Homunculus: Auto-Generating Efficient Data-Plane ML Pipelines for Datacenter Networks. ASPLOS (3) (2023)
Simon Kristoffersson Lind, Rudolph Triebel, Luigi Nardi, Volker Krüger
Out-of-Distribution Detection for Adaptive Computer Vision. SCIA (2) (2023)
Carl Hvarfner, Frank Hutter, Luigi Nardi
A General Framework for User-Guided Bayesian Optimization. CoRR (2023)
Neeratyoy Mallik, Edward Bergman, Carl Hvarfner, Danny Stoll, Maciej Janowski, Marius Lindauer, Luigi Nardi, Frank Hutter
PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning. NeurIPS (2023)
Neeratyoy Mallik, Edward Bergman, Carl Hvarfner, Danny Stoll, Maciej Janowski, Marius Lindauer, Luigi Nardi, Frank Hutter
PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning. CoRR (2023)
Carl Hvarfner, Erik Hellsten, Frank Hutter, Luigi Nardi
Self-Correcting Bayesian Optimization through Bayesian Active Learning. CoRR (2023)
Adel Ejjeh, Leon Medvinsky, Aaron Councilman, Hemang Nehra, Suraj Sharma, Vikram S. Adve, Luigi Nardi, Eriko Nurvitadhi, Rob A. Rutenbar
HPVM2FPGA: Enabling True Hardware-Agnostic FPGA Programming. ASAP (2022)
Leonard Papenmeier, Luigi Nardi, Matthias Poloczek
Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces. NeurIPS (2022)
Matthias Mayr, Faseeh Ahmad, Konstantinos I. Chatzilygeroudis, Luigi Nardi, Volker Krüger
Combining Planning, Reasoning and Reinforcement Learning to solve Industrial Robot Tasks. CoRR (2022)
Carl Hvarfner, Frank Hutter, Luigi Nardi
Joint Entropy Search For Maximally-Informed Bayesian Optimization. CoRR (2022)
Matthias Mayr, Faseeh Ahmad, Konstantinos I. Chatzilygeroudis, Luigi Nardi, Volker Krüger
Skill-based Multi-objective Reinforcement Learning of Industrial Robot Tasks with Planning and Knowledge Integration. ROBIO (2022)
Matthias Mayr, Carl Hvarfner, Konstantinos I. Chatzilygeroudis, Luigi Nardi, Volker Krüger
Learning Skill-based Industrial Robot Tasks with User Priors. CoRR (2022)
Matthias Mayr, Carl Hvarfner, Konstantinos I. Chatzilygeroudis, Luigi Nardi, Volker Krüger
Learning Skill-based Industrial Robot Tasks with User Priors. CASE (2022)
Carl Hvarfner, Danny Stoll, Artur L. F. Souza, Marius Lindauer, Frank Hutter, Luigi Nardi
$\pi$BO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization. ICLR (2022)
Erik Hellsten, Artur L. F. Souza, Johannes Lenfers, Rubens Lacouture, Olivia Hsu, Adel Ejjeh, Fredrik Kjolstad, Michel Steuwer, Kunle Olukotun, Luigi Nardi
BaCO: A Fast and Portable Bayesian Compiler Optimization Framework. CoRR (2022)
Carl Hvarfner, Frank Hutter, Luigi Nardi
Joint Entropy Search For Maximally-Informed Bayesian Optimization. NeurIPS (2022)
Carl Hvarfner, Danny Stoll, Artur L. F. Souza, Marius Lindauer, Frank Hutter, Luigi Nardi
πBO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization. CoRR (2022)
Zahra Ramezani, Kenan Sehic, Luigi Nardi, Knut Åkesson
Falsification of Cyber-Physical Systems using Bayesian Optimization. CoRR (2022)
Kenan Sehic, Alexandre Gramfort, Joseph Salmon, Luigi Nardi
LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso. AutoML (2022)
Tushar Swamy, Annus Zulfiqar, Luigi Nardi, Muhammad Shahbaz, Kunle Olukotun
Homunculus: Auto-Generating Efficient Data-Plane ML Pipelines for Datacenter Networks. CoRR (2022)
Matthias Mayr, Faseeh Ahmad, Konstantinos I. Chatzilygeroudis, Luigi Nardi, Volker Krüger
Skill-based Multi-objective Reinforcement Learning of Industrial Robot Tasks with Planning and Knowledge Integration. CoRR (2022)
Matthias Mayr, Konstantinos I. Chatzilygeroudis, Faseeh Ahmad, Luigi Nardi, Volker Krüger
Learning of Parameters in Behavior Trees for Movement Skills. IROS (2021)
Matthias Mayr, Konstantinos I. Chatzilygeroudis, Faseeh Ahmad, Luigi Nardi, Volker Krüger
Learning of Parameters in Behavior Trees for Movement Skills. CoRR (2021)
Artur L. F. Souza, Luigi Nardi, Leonardo B. Oliveira, Kunle Olukotun, Marius Lindauer, Frank Hutter
Bayesian Optimization with a Prior for the Optimum. ECML/PKDD (3) (2021)
Kenan Sehic, Alexandre Gramfort, Joseph Salmon, Luigi Nardi
LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso. CoRR (2021)
Artur L. F. Souza, Luigi Nardi, Leonardo B. Oliveira, Kunle Olukotun, Marius Lindauer, Frank Hutter
Prior-guided Bayesian Optimization. CoRR (2020)
Rekha Singhal, Nathan Zhang, Luigi Nardi, Muhammad Shahbaz, Kunle Olukotun
Polystore++: Accelerated Polystore System for Heterogeneous Workloads. ICDCS (2019)
Luigi Nardi, David Koeplinger, Kunle Olukotun
Practical Design Space Exploration. MASCOTS (2019)
Artur L. F. Souza, Leonardo B. Oliveira, Sabine Hollatz, Matthew Feldman, Kunle Olukotun, James M. Holton, Aina E. Cohen, Luigi Nardi
DeepFreak: Learning Crystallography Diffraction Patterns with Automated Machine Learning. CoRR (2019)
Cody Coleman, Daniel Kang, Deepak Narayanan, Luigi Nardi, Tian Zhao, Jian Zhang, Peter Bailis, Kunle Olukotun, Christopher Ré, Matei Zaharia
Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark. ACM SIGOPS Oper. Syst. Rev. 53 (1) (2019)
Luigi Nardi, Artur L. F. Souza, David Koeplinger, Kunle Olukotun
HyperMapper: a Practical Design Space Exploration Framework. MASCOTS (2019)
Rekha Singhal, Nathan Zhang, Luigi Nardi, Muhammad Shahbaz, Kunle Olukotun
Polystore++: Accelerated Polystore System for Heterogeneous Workloads. CoRR (2019)
Bruno Bodin, Luigi Nardi, Harry Wagstaff, Paul H. J. Kelly, Michael F. P. O'Boyle
Algorithmic Performance-Accuracy Trade-off in 3D Vision Applications. ISPASS (2018)
Cody Coleman, Daniel Kang, Deepak Narayanan, Luigi Nardi, Tian Zhao, Jian Zhang, Peter Bailis, Kunle Olukotun, Christopher Ré, Matei Zaharia
Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark. CoRR (2018)
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
SLAMBench2: Multi-Objective Head-to-Head Benchmarking for Visual SLAM. ICRA (2018)
Luigi Nardi, David Koeplinger, Kunle Olukotun
Practical Design Space Exploration. CoRR (2018)
Jian Zhang, Max Lam, Stephanie Wang, Paroma Varma, Luigi Nardi, Kunle Olukotun, Christopher Ré
Exploring the Utility of Developer Exhaust. DEEM@SIGMOD (2018)
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
SLAMBench2: Multi-Objective Head-to-Head Benchmarking for Visual SLAM. CoRR (2018)
David Koeplinger, Matthew Feldman, Raghu Prabhakar, Yaqi Zhang, Stefan Hadjis, Ruben Fiszel, Tian Zhao, Luigi Nardi, Ardavan Pedram, Christos Kozyrakis, Kunle Olukotun
Spatial: a language and compiler for application accelerators. PLDI (2018)
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
Navigating the Landscape for Real-time Localisation and Mapping for Robotics and Virtual and Augmented Reality. CoRR (2018)
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
Navigating the Landscape for Real-Time Localization and Mapping for Robotics and Virtual and Augmented Reality. Proc. IEEE 106 (11) (2018)
Emanuele Vespa, Nikolay Nikolov, Marius Grimm, Luigi Nardi, Paul H. J. Kelly, Stefan Leutenegger
Efficient Octree-Based Volumetric SLAM Supporting Signed-Distance and Occupancy Mapping. IEEE Robotics Autom. Lett. 3 (2) (2018)
Luigi Nardi, Bruno Bodin, Sajad Saeedi, Emanuele Vespa, Andrew J. Davison, Paul H. J. Kelly
Algorithmic Performance-Accuracy Trade-off in 3D Vision Applications Using HyperMapper. CoRR (2017)
Sajad Saeedi, Luigi Nardi, Edward Johns, Bruno Bodin, Paul H. J. Kelly, Andrew J. Davison
Application-oriented design space exploration for SLAM algorithms. ICRA (2017)
Luigi Nardi, Bruno Bodin, Sajad Saeedi, Emanuele Vespa, Andrew J. Davison, Paul H. J. Kelly
Algorithmic Performance-Accuracy Trade-off in 3D Vision Applications Using HyperMapper. IPDPS Workshops (2017)
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
Integrating Algorithmic Parameters into Benchmarking and Design Space Exploration in 3D Scene Understanding. PACT (2016)
Bruno Bodin, Luigi Nardi, Paul H. J. Kelly, Michael F. P. O'Boyle
Diplomat: Mapping of Multi-kernel Applications Using a Static Dataflow Abstraction. MASCOTS (2016)
Gheorghe-Teodor Bercea, Andrew T. T. McRae, David A. Ham, Lawrence Mitchell, Florian Rathgeber, Luigi Nardi, Fabio Luporini, Paul H. J. Kelly
A numbering algorithm for finite element on extruded meshes which avoids the unstructured mesh penalty. CoRR (2016)
M. Zeeshan Zia, Luigi Nardi, Andrew Jack, Emanuele Vespa, Bruno Bodin, Paul H. J. Kelly, Andrew J. Davison
Comparative design space exploration of dense and semi-dense SLAM. ICRA (2016)
M. Zeeshan Zia, Luigi Nardi, Andrew Jack, Emanuele Vespa, Bruno Bodin, Paul H. J. Kelly, Andrew J. Davison
Comparative Design Space Exploration of Dense and Semi-Dense SLAM. CoRR (2015)
André Dietrich, Sebastian Zug, Luigi Nardi, Jörg Kaiser
Reasoning in complex environments with the SelectScript declarative language. CoRR (2015)
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
Introducing SLAMBench, a performance and accuracy benchmarking methodology for SLAM. ICRA (2015)
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
Introducing SLAMBench, a performance and accuracy benchmarking methodology for SLAM. CoRR (2014)
Luigi Nardi, Fouad Badran, Pierre Fortin, Sylvie Thiria
YAO: A Generator of Parallel Code for Variational Data Assimilation Applications. HPCC-ICESS (2012)
Luigi Nardi, Charles Sorror, Fouad Badran, Sylvie Thiria
YAO: A Software for Variational Data Assimilation Using Numerical Models. ICCSA (2) (2009)

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Publication Activity (10 Years)

Top Topics

Top Venues

Luigi Nardi