YAO: A Software for Variational Data Assimilation Using Numerical Models. - Luigi Nardi; Charles Sorror; Fouad Badran; Sylvie Thiria (ICCSA (2), 2009)

Formalisation et automatisation de YAO, générateur de code pour l'assimilation variationnelle de données. - Luigi Nardi (2011)

YAO: A Generator of Parallel Code for Variational Data Assimilation Applications. - Luigi Nardi; Fouad Badran; Pierre Fortin 001; Sylvie Thiria (HPCC-ICESS, 2012)

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 (ICRA, 2015)

Reasoning in complex environments with the SelectScript declarative language. - André Dietrich; Sebastian Zug; Luigi Nardi; Jörg Kaiser (CoRR, 2015)

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; et al. (PACT, 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 (ICRA, 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 (MASCOTS, 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)

Application-oriented design space exploration for SLAM algorithms. - Sajad Saeedi 001; Luigi Nardi; Edward Johns; Bruno Bodin; Paul H. J. Kelly; Andrew J. Davison (ICRA, 2017)

Algorithmic Performance-Accuracy Trade-off in 3D Vision Applications Using HyperMapper. - Luigi Nardi; Bruno Bodin; Sajad Saeedi 001; Emanuele Vespa; Andrew J. Davison; Paul H. J. Kelly (IPDPS Workshops, 2017)

SLAMBench2: Multi-Objective Head-to-Head Benchmarking for Visual SLAM. - Bruno Bodin; Harry Wagstaff; Sajad Saeedi 001; 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 (ICRA, 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 (ISPASS, 2018)

Spatial: a language and compiler for application accelerators. - David Koeplinger; Matthew Feldman; Raghu Prabhakar; Yaqi Zhang 001; Stefan Hadjis; Ruben Fiszel; Tian Zhao 001; Luigi Nardi; Ardavan Pedram; Christos Kozyrakis; Kunle Olukotun (PLDI, 2018)

Exploring the Utility of Developer Exhaust. - Jian Zhang 049; Max Lam; Stephanie Wang; Paroma Varma; Luigi Nardi; Kunle Olukotun; Christopher Ré (DEEM@SIGMOD, 2018)

Navigating the Landscape for Real-time Localisation and Mapping for Robotics and Virtual and Augmented Reality. - Sajad Saeedi 001; Bruno Bodin; Harry Wagstaff; Andy Nisbet; Luigi Nardi; John Mawer; Nicolas Melot; Oscar Palomar; Emanuele Vespa; Tom Spink; Cosmin Gorgovan; Andrew M. Webb; et al. (CoRR, 2018)

Navigating the Landscape for Real-Time Localization and Mapping for Robotics and Virtual and Augmented Reality. - Sajad Saeedi 001; Bruno Bodin; Harry Wagstaff; Andy Nisbet; Luigi Nardi; John Mawer; Nicolas Melot; Oscar Palomar; Emanuele Vespa; Tom Spink; Cosmin Gorgovan; Andrew M. Webb; et al. (Proc. IEEE, 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)

Polystore++: Accelerated Polystore System for Heterogeneous Workloads. - Rekha Singhal; Nathan Zhang; Luigi Nardi; Muhammad Shahbaz 001; Kunle Olukotun (ICDCS, 2019)

Practical Design Space Exploration. - Luigi Nardi; David Koeplinger; Kunle Olukotun (MASCOTS, 2019)

HyperMapper: a Practical Design Space Exploration Framework. - Luigi Nardi; Artur L. F. Souza; David Koeplinger; Kunle Olukotun (MASCOTS, 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)

Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark. - Cody Coleman; Daniel Kang; Deepak Narayanan; Luigi Nardi; Tian Zhao 001; Jian Zhang 049; Peter Bailis; Kunle Olukotun; Christopher Ré; Matei Zaharia (ACM SIGOPS Oper. Syst. Rev., 2019)

Prior-guided Bayesian Optimization. - Artur L. F. Souza; Luigi Nardi; Leonardo B. Oliveira; Kunle Olukotun; Marius Lindauer; Frank Hutter (CoRR, 2020)

Learning of Parameters in Behavior Trees for Movement Skills. - Matthias Mayr; Konstantinos I. Chatzilygeroudis; Faseeh Ahmad; Luigi Nardi; Volker Krüger (IROS, 2021)

Bayesian Optimization with a Prior for the Optimum. - Artur L. F. Souza; Luigi Nardi; Leonardo B. Oliveira; Kunle Olukotun; Marius Lindauer; Frank Hutter (ECML/PKDD (3), 2021)

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 (ASAP, 2022)

LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso. - Kenan Sehic; Alexandre Gramfort; Joseph Salmon; Luigi Nardi (AutoML, 2022)

Learning Skill-based Industrial Robot Tasks with User Priors. - Matthias Mayr; Carl Hvarfner; Konstantinos I. Chatzilygeroudis; Luigi Nardi; Volker Krüger (CASE, 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 (ICLR, 2022)

Joint Entropy Search For Maximally-Informed Bayesian Optimization. - Carl Hvarfner; Frank Hutter; Luigi Nardi (NeurIPS, 2022)

Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces. - Leonard Papenmeier; Luigi Nardi; Matthias Poloczek (NeurIPS, 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 (ROBIO, 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)

Combining Planning, Reasoning and Reinforcement Learning to solve Industrial Robot Tasks. - Matthias Mayr; Faseeh Ahmad; Konstantinos I. Chatzilygeroudis; Luigi Nardi; Volker Krüger (CoRR, 2022)

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 (ASPLOS (4), 2023)

Homunculus: Auto-Generating Efficient Data-Plane ML Pipelines for Datacenter Networks. - Tushar Swamy; Annus Zulfiqar; Luigi Nardi; Muhammad Shahbaz 001; Kunle Olukotun (ASPLOS (3), 2023)

Self-Correcting Bayesian Optimization through Bayesian Active Learning. - Carl Hvarfner; Erik Hellsten; Frank Hutter; Luigi Nardi (NeurIPS, 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 (NeurIPS, 2023)

Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces. - Leonard Papenmeier; Luigi Nardi; Matthias Poloczek (NeurIPS, 2023)

Out-of-Distribution Detection for Adaptive Computer Vision. - Simon Kristoffersson Lind; Rudolph Triebel; Luigi Nardi; Volker Krüger (SCIA (2), 2023)

Bounce: a Reliable Bayesian Optimization Algorithm for Combinatorial and Mixed Spaces. - Leonard Papenmeier; Luigi Nardi; Matthias Poloczek (CoRR, 2023)

High-dimensional Bayesian Optimization with Group Testing. - Erik Orm Hellsten; Carl Hvarfner; Leonard Papenmeier; Luigi Nardi (CoRR, 2023)

A General Framework for User-Guided Bayesian Optimization. - Carl Hvarfner; Frank Hutter; Luigi Nardi (ICLR, 2024)

Vanilla Bayesian Optimization Performs Great in High Dimensions. - Carl Hvarfner; Erik Orm Hellsten; Luigi Nardi (ICML, 2024)

CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization. - Jacob O. Tørring; Carl Hvarfner; Luigi Nardi; Magnus Själander (CoRR, 2024)

Exploring Exploration in Bayesian Optimization. - Leonard Papenmeier; Nuojin Cheng; Stephen Becker; Luigi Nardi (UAI, 2025)

A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization. - Nuojin Cheng; Leonard Papenmeier; Stephen Becker; Luigi Nardi (CoRR, 2025)

Understanding High-Dimensional Bayesian Optimization. - Leonard Papenmeier; Matthias Poloczek; Luigi Nardi (CoRR, 2025)

Leveraging Axis-Aligned Subspaces for High-Dimensional Bayesian Optimization with Group Testing. - Erik Hellsten; Carl Hvarfner; Leonard Papenmeier; Luigi Nardi (CoRR, 2025)

Bencher: Simple and Reproducible Benchmarking for Black-Box Optimization. - Leonard Papenmeier; Luigi Nardi (CoRR, 2025)

Falsification of Cyber-physical Systems Using Bayesian Optimization. - Zahra Ramezani; Kenan Sehic; Luigi Nardi; Knut Åkesson (ACM Trans. Embed. Comput. Syst., 2025)