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2020 – today
- 2024
[c32]Carl Hvarfner, Frank Hutter, Luigi Nardi:
A General Framework for User-Guided Bayesian Optimization. ICLR 2024- [c31]Carl Hvarfner, Erik Orm Hellsten, Luigi Nardi:
Vanilla Bayesian Optimization Performs Great in High Dimensions. ICML 2024 - [i31]Carl Hvarfner, Erik Orm Hellsten, Luigi Nardi:
Vanilla Bayesian Optimization Performs Great in High Dimensions. CoRR abs/2402.02229 (2024) - [i30]Jacob O. Tørring, Carl Hvarfner, Luigi Nardi, Magnus Själander:
CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization. CoRR abs/2406.17811 (2024) - 2023
- [c30]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: 19-42 - [c29]Tushar Swamy, Annus Zulfiqar, Luigi Nardi, Muhammad Shahbaz, Kunle Olukotun:
Homunculus: Auto-Generating Efficient Data-Plane ML Pipelines for Datacenter Networks. ASPLOS (3) 2023: 329-342 - [c28]Carl Hvarfner, Erik Hellsten, Frank Hutter, Luigi Nardi:
Self-Correcting Bayesian Optimization through Bayesian Active Learning. NeurIPS 2023 - [c27]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 - [c26]Leonard Papenmeier, Luigi Nardi, Matthias Poloczek:
Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces. NeurIPS 2023 - [c25]Simon Kristoffersson Lind, Rudolph Triebel, Luigi Nardi, Volker Krüger:
Out-of-Distribution Detection for Adaptive Computer Vision. SCIA (2) 2023: 311-325 - [e2]Eiko Yoneki, Luigi Nardi:
Proceedings of the 3rd Workshop on Machine Learning and Systems, EuroMLSys 2023, Rome, Italy, 8 May 2023. ACM 2023 [contents] - [i29]Carl Hvarfner, Erik Hellsten, Frank Hutter, Luigi Nardi:
Self-Correcting Bayesian Optimization through Bayesian Active Learning. CoRR abs/2304.11005 (2023) - [i28]Leonard Papenmeier, Luigi Nardi, Matthias Poloczek:
Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces. CoRR abs/2304.11468 (2023) - [i27]Simon Kristoffersson Lind, Rudolph Triebel, Luigi Nardi, Volker Krüger:
Out-of-Distribution Detection for Adaptive Computer Vision. CoRR abs/2305.09293 (2023) - [i26]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 abs/2306.12370 (2023) - [i25]Leonard Papenmeier, Luigi Nardi, Matthias Poloczek:
Bounce: a Reliable Bayesian Optimization Algorithm for Combinatorial and Mixed Spaces. CoRR abs/2307.00618 (2023) - [i24]Erik Orm Hellsten, Carl Hvarfner, Leonard Papenmeier, Luigi Nardi:
High-dimensional Bayesian Optimization with Group Testing. CoRR abs/2310.03515 (2023) - [i23]Carl Hvarfner, Frank Hutter, Luigi Nardi:
A General Framework for User-Guided Bayesian Optimization. CoRR abs/2311.14645 (2023) - 2022
- [c24]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: 1-10 - [c23]Kenan Sehic, Alexandre Gramfort, Joseph Salmon, Luigi Nardi:
LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso. AutoML 2022: 2/1-24 - [c22]Matthias Mayr, Carl Hvarfner, Konstantinos I. Chatzilygeroudis, Luigi Nardi, Volker Krüger:
Learning Skill-based Industrial Robot Tasks with User Priors. CASE 2022: 1485-1492 - [c21]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 - [c20]Carl Hvarfner, Frank Hutter, Luigi Nardi:
Joint Entropy Search For Maximally-Informed Bayesian Optimization. NeurIPS 2022 - [c19]Leonard Papenmeier, Luigi Nardi, Matthias Poloczek:
Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces. NeurIPS 2022 - [c18]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: 1995-2002 - [e1]Eiko Yoneki, Luigi Nardi:
EuroMLSys '22: Proceedings of the 2nd European Workshop on Machine Learning and Systems, Rennes, France, April 5 - 8, 2022. ACM 2022, ISBN 978-1-4503-9254-9 [contents] - [i22]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 abs/2203.10033 (2022) - [i21]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 abs/2204.11051 (2022) - [i20]Carl Hvarfner, Frank Hutter, Luigi Nardi:
Joint Entropy Search For Maximally-Informed Bayesian Optimization. CoRR abs/2206.04771 (2022) - [i19]Tushar Swamy, Annus Zulfiqar, Luigi Nardi, Muhammad Shahbaz, Kunle Olukotun:
Homunculus: Auto-Generating Efficient Data-Plane ML Pipelines for Datacenter Networks. CoRR abs/2206.05592 (2022) - [i18]Matthias Mayr, Carl Hvarfner, Konstantinos I. Chatzilygeroudis, Luigi Nardi, Volker Krüger:
Learning Skill-based Industrial Robot Tasks with User Priors. CoRR abs/2208.01605 (2022) - [i17]Zahra Ramezani, Kenan Sehic, Luigi Nardi, Knut Åkesson:
Falsification of Cyber-Physical Systems using Bayesian Optimization. CoRR abs/2209.06735 (2022) - [i16]Matthias Mayr, Faseeh Ahmad, Konstantinos I. Chatzilygeroudis, Luigi Nardi, Volker Krüger:
Combining Planning, Reasoning and Reinforcement Learning to solve Industrial Robot Tasks. CoRR abs/2212.03570 (2022) - [i15]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 abs/2212.11142 (2022) - 2021
- [c17]Matthias Mayr, Konstantinos I. Chatzilygeroudis, Faseeh Ahmad, Luigi Nardi, Volker Krüger:
Learning of Parameters in Behavior Trees for Movement Skills. IROS 2021: 7572-7579 - [c16]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: 265-296 - [i14]Matthias Mayr, Konstantinos I. Chatzilygeroudis, Faseeh Ahmad, Luigi Nardi, Volker Krüger:
Learning of Parameters in Behavior Trees for Movement Skills. CoRR abs/2109.13050 (2021) - [i13]Kenan Sehic, Alexandre Gramfort, Joseph Salmon, Luigi Nardi:
LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso. CoRR abs/2111.02790 (2021) - 2020
- [i12]Artur L. F. Souza, Luigi Nardi, Leonardo B. Oliveira, Kunle Olukotun, Marius Lindauer, Frank Hutter:
Prior-guided Bayesian Optimization. CoRR abs/2006.14608 (2020)
2010 – 2019
- 2019
- [j3]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): 14-25 (2019) - [c15]Rekha Singhal, Nathan Zhang, Luigi Nardi, Muhammad Shahbaz, Kunle Olukotun:
Polystore++: Accelerated Polystore System for Heterogeneous Workloads. ICDCS 2019: 1641-1651 - [c14]Luigi Nardi, David Koeplinger, Kunle Olukotun:
Practical Design Space Exploration. MASCOTS 2019: 347-358 - [c13]Luigi Nardi, Artur L. F. Souza, David Koeplinger, Kunle Olukotun:
HyperMapper: a Practical Design Space Exploration Framework. MASCOTS 2019: 425-426 - [i11]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 abs/1904.11834 (2019) - [i10]Rekha Singhal, Nathan Zhang, Luigi Nardi, Muhammad Shahbaz, Kunle Olukotun:
Polystore++: Accelerated Polystore System for Heterogeneous Workloads. CoRR abs/1905.10336 (2019) - 2018
- [j2]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): 2020-2039 (2018) - [j1]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): 1144-1151 (2018) - [c12]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: 1-8 - [c11]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: 123-124 - [c10]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: 296-311 - [c9]Jian Zhang, Max Lam, Stephanie Wang, Paroma Varma, Luigi Nardi, Kunle Olukotun, Christopher Ré:
Exploring the Utility of Developer Exhaust. DEEM@SIGMOD 2018: 7:1-7:7 - [i9]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 abs/1806.01427 (2018) - [i8]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 abs/1808.06352 (2018) - [i7]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 abs/1808.06820 (2018) - [i6]Luigi Nardi, David Koeplinger, Kunle Olukotun:
Practical Design Space Exploration. CoRR abs/1810.05236 (2018) - 2017
- [c8]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: 5716-5723 - [c7]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: 1434-1443 - [i5]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 abs/1702.00505 (2017) - 2016
- [c6]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: 57-69 - [c5]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: 1292-1299 - [c4]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: 241-250 - [i4]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 abs/1604.05937 (2016) - 2015
- [c3]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: 5783-5790 - [i3]André Dietrich, Sebastian Zug, Luigi Nardi, Jörg Kaiser:
Reasoning in complex environments with the SelectScript declarative language. CoRR abs/1508.04159 (2015) - [i2]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 abs/1509.04648 (2015) - 2014
- [i1]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 abs/1410.2167 (2014) - 2012
- [c2]Luigi Nardi, Fouad Badran, Pierre Fortin, Sylvie Thiria:
YAO: A Generator of Parallel Code for Variational Data Assimilation Applications. HPCC-ICESS 2012: 224-232 - 2011
- [b1]Luigi Nardi:
Formalisation et automatisation de YAO, générateur de code pour l'assimilation variationnelle de données. Conservatoire national des arts et métiers, Paris, France, 2011
2000 – 2009
- 2009
- [c1]Luigi Nardi, Charles Sorror, Fouad Badran, Sylvie Thiria:
YAO: A Software for Variational Data Assimilation Using Numerical Models. ICCSA (2) 2009: 621-636
Coauthor Index
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last updated on 2024-10-07 21:18 CEST by the dblp team
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