Luigi Nardi

According to our database, Luigi Nardi authored at least 47 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization.

Jacob O. Tørring, Carl Hvarfner, Luigi Nardi, Magnus Själander

CoRR, 2024

Vanilla Bayesian Optimization Performs Great in High Dimensions.

Carl Hvarfner, Erik Orm Hellsten, Luigi Nardi

Proceedings of the Forty-first International Conference on Machine Learning, 2024

A General Framework for User-Guided Bayesian Optimization.

Carl Hvarfner, Frank Hutter, Luigi Nardi

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

High-dimensional Bayesian Optimization with Group Testing.

Erik Orm Hellsten, Carl Hvarfner, Leonard Papenmeier, Luigi Nardi

CoRR, 2023

Bounce: a Reliable Bayesian Optimization Algorithm for Combinatorial and Mixed Spaces.

Leonard Papenmeier, Luigi Nardi, Matthias Poloczek

CoRR, 2023

Out-of-Distribution Detection for Adaptive Computer Vision.

Simon Kristoffersson Lind, Rudolph Triebel, Luigi Nardi, Volker Krüger

Proceedings of the Image Analysis - 22nd Scandinavian Conference, 2023

Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces.

Leonard Papenmeier, Luigi Nardi, Matthias Poloczek

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.

Neeratyoy Mallik, Edward Bergman, Carl Hvarfner, Danny Stoll, Maciej Janowski, Marius Lindauer, Luigi Nardi, Frank Hutter

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.

Carl Hvarfner, Erik Hellsten, Frank Hutter, Luigi Nardi

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.

Tushar Swamy, Annus Zulfiqar, Luigi Nardi, Muhammad Shahbaz, Kunle Olukotun

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.

Erik Orm Hellsten, Artur L. F. Souza, Johannes Lenfers, Rubens Lacouture, Olivia Hsu, Adel Ejjeh, Fredrik Kjolstad, Michel Steuwer, Kunle Olukotun, Luigi Nardi

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.

Matthias Mayr, Faseeh Ahmad, Konstantinos I. Chatzilygeroudis, Luigi Nardi, Volker Krüger

CoRR, 2022

Falsification of Cyber-Physical Systems using Bayesian Optimization.

Zahra Ramezani, Kenan Sehic, Luigi Nardi, Knut Åkesson

CoRR, 2022

πBO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization.

Carl Hvarfner, Danny Stoll, Artur L. F. Souza, Marius Lindauer, Frank Hutter, Luigi Nardi

CoRR, 2022

Skill-based Multi-objective Reinforcement Learning of Industrial Robot Tasks with Planning and Knowledge Integration.

Matthias Mayr, Faseeh Ahmad, Konstantinos I. Chatzilygeroudis, Luigi Nardi, Volker Krüger

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022

Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces.

Leonard Papenmeier, Luigi Nardi, Matthias Poloczek

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.

Carl Hvarfner, Frank Hutter, Luigi Nardi

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.

Carl Hvarfner, Danny Stoll, Artur L. F. Souza, Marius Lindauer, Frank Hutter, Luigi Nardi

Proceedings of the Tenth International Conference on Learning Representations, 2022

Learning Skill-based Industrial Robot Tasks with User Priors.

Matthias Mayr, Carl Hvarfner, Konstantinos I. Chatzilygeroudis, Luigi Nardi, Volker Krüger

Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022

LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso.

Kenan Sehic, Alexandre Gramfort, Joseph Salmon, Luigi Nardi

Proceedings of the International Conference on Automated Machine Learning, 2022

HPVM2FPGA: Enabling True Hardware-Agnostic FPGA Programming.

Adel Ejjeh, Leon Medvinsky, Aaron Councilman, Hemang Nehra, Suraj Sharma, Vikram S. Adve, Luigi Nardi, Eriko Nurvitadhi, Rob A. Rutenbar

Proceedings of the 33rd IEEE International Conference on Application-specific Systems, 2022

2021

Bayesian Optimization with a Prior for the Optimum.

Artur L. F. Souza, Luigi Nardi, Leonardo B. Oliveira, Kunle Olukotun, Marius Lindauer, Frank Hutter

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Learning of Parameters in Behavior Trees for Movement Skills.

Matthias Mayr, Konstantinos I. Chatzilygeroudis, Faseeh Ahmad, Luigi Nardi, Volker Krüger

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

Prior-guided Bayesian Optimization.

Artur L. F. Souza, Luigi Nardi, Leonardo B. Oliveira, Kunle Olukotun, Marius Lindauer, Frank Hutter

CoRR, 2020

2019

Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark.

Cody Coleman, Daniel Kang, Deepak Narayanan, Luigi Nardi, Tian Zhao, Jian Zhang, Peter Bailis, Kunle Olukotun, Christopher Ré, Matei Zaharia

ACM SIGOPS Oper. Syst. Rev., 2019

DeepFreak: Learning Crystallography Diffraction Patterns with Automated Machine Learning.

Artur L. F. Souza, Leonardo B. Oliveira, Sabine Hollatz, Matthew Feldman, Kunle Olukotun, James M. Holton, Aina E. Cohen, Luigi Nardi

CoRR, 2019

HyperMapper: a Practical Design Space Exploration Framework.

Luigi Nardi, Artur L. F. Souza, David Koeplinger, Kunle Olukotun

Proceedings of the 27th IEEE International Symposium on Modeling, 2019

Practical Design Space Exploration.

Luigi Nardi, David Koeplinger, Kunle Olukotun

Proceedings of the 27th IEEE International Symposium on Modeling, 2019

Polystore++: Accelerated Polystore System for Heterogeneous Workloads.

Rekha Singhal, Nathan Zhang, Luigi Nardi, Muhammad Shahbaz, Kunle Olukotun

Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

2018

Efficient Octree-Based Volumetric SLAM Supporting Signed-Distance and Occupancy Mapping.

Emanuele Vespa, Nikolay Nikolov, Marius Grimm, Luigi Nardi, Paul H. J. Kelly, Stefan Leutenegger

IEEE Robotics Autom. Lett., 2018

Navigating the Landscape for Real-Time Localization and Mapping for Robotics and Virtual and Augmented Reality.

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

Proc. IEEE, 2018

Navigating the Landscape for Real-time Localisation and Mapping for Robotics and Virtual and Augmented Reality.

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

CoRR, 2018

Exploring the Utility of Developer Exhaust.

Jian Zhang, Max Lam, Stephanie Wang, Paroma Varma, Luigi Nardi, Kunle Olukotun, Christopher Ré

Proceedings of the Second Workshop on Data Management for End-To-End Machine Learning, 2018

Spatial: a language and compiler for application accelerators.

David Koeplinger, Matthew Feldman, Raghu Prabhakar, Yaqi Zhang, Stefan Hadjis, Ruben Fiszel, Tian Zhao, Luigi Nardi, Ardavan Pedram, Christos Kozyrakis, Kunle Olukotun

Proceedings of the 39th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2018

Algorithmic Performance-Accuracy Trade-off in 3D Vision Applications.

Bruno Bodin, Luigi Nardi, Harry Wagstaff, Paul H. J. Kelly, Michael F. P. O'Boyle

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2018

SLAMBench2: Multi-Objective Head-to-Head Benchmarking for Visual SLAM.

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

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017

Algorithmic Performance-Accuracy Trade-off in 3D Vision Applications Using HyperMapper.

Luigi Nardi, Bruno Bodin, Sajad Saeedi, Emanuele Vespa, Andrew J. Davison, Paul H. J. Kelly

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

Application-oriented design space exploration for SLAM algorithms.

Sajad Saeedi, Luigi Nardi, Edward Johns, Bruno Bodin, Paul H. J. Kelly, Andrew J. Davison

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.

Gheorghe-Teodor Bercea, Andrew T. T. McRae, David A. Ham, Lawrence Mitchell, Florian Rathgeber, Luigi Nardi, Fabio Luporini, Paul H. J. Kelly

CoRR, 2016

Diplomat: Mapping of Multi-kernel Applications Using a Static Dataflow Abstraction.

Bruno Bodin, Luigi Nardi, Paul H. J. Kelly, Michael F. P. O'Boyle

Proceedings of the 24th IEEE International Symposium on Modeling, 2016

Comparative design space exploration of dense and semi-dense SLAM.

M. Zeeshan Zia, Luigi Nardi, Andrew Jack, Emanuele Vespa, Bruno Bodin, Paul H. J. Kelly, Andrew J. Davison

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.

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

Proceedings of the 2016 International Conference on Parallel Architectures and Compilation, 2016

2015

Reasoning in complex environments with the SelectScript declarative language.

André Dietrich, Sebastian Zug, Luigi Nardi, Jörg Kaiser

CoRR, 2015

Introducing SLAMBench, a performance and accuracy benchmarking methodology for SLAM.

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

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2012

YAO: A Generator of Parallel Code for Variational Data Assimilation Applications.

Luigi Nardi, Fouad Badran, Pierre Fortin, Sylvie Thiria

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.

Luigi Nardi

PhD thesis, 2011

2009

YAO: A Software for Variational Data Assimilation Using Numerical Models.

Luigi Nardi, Charles Sorror, Fouad Badran, Sylvie Thiria

Proceedings of the Computational Science and Its Applications, 2009