| Dawnbench: An end-to-end deep learning benchmark and competition C Coleman, D Narayanan, D Kang, T Zhao, J Zhang, L Nardi, P Bailis, ... NIPS ML Systems Workshop 100 (101), 102, 2017 | 434 | 2017 |
| Spatial: A language and compiler for application accelerators D Koeplinger, M Feldman, R Prabhakar, Y Zhang, S Hadjis, R Fiszel, ... Proceedings of the 39th ACM SIGPLAN Conference on Programming Language …, 2018 | 315 | 2018 |
| Introducing SLAMBench, a performance and accuracy benchmarking methodology for SLAM L Nardi, B Bodin, MZ Zia, J Mawer, A Nisbet, PHJ Kelly, AJ Davison, ... 2015 IEEE international conference on robotics and automation (ICRA), 5783-5790, 2015 | 217 | 2015 |
| Practical design space exploration L Nardi, D Koeplinger, K Olukotun 2019 IEEE 27th International Symposium on Modeling, Analysis, and Simulation …, 2019 | 181* | 2019 |
| Analysis of dawnbench, a time-to-accuracy machine learning performance benchmark C Coleman, D Kang, D Narayanan, L Nardi, T Zhao, J Zhang, P Bailis, ... ACM SIGOPS Operating Systems Review 53 (1), 14-25, 2019 | 163 | 2019 |
| Efficient octree-based volumetric SLAM supporting signed-distance and occupancy mapping E Vespa, N Nikolov, M Grimm, L Nardi, PHJ Kelly, S Leutenegger IEEE Robotics and Automation Letters 3 (2), 1144-1151, 2018 | 136 | 2018 |
| BO: Augmenting acquisition functions with user beliefs for bayesian optimization C Hvarfner, D Stoll, A Souza, M Lindauer, F Hutter, L Nardi International Conference on Learning Representations (ICLR), 2022 | 100 | 2022 |
| Bayesian optimization with a prior for the optimum A Souza, L Nardi, LB Oliveira, K Olukotun, M Lindauer, F Hutter Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021 | 95* | 2021 |
| SLAMBench2: Multi-objective head-to-head benchmarking for visual SLAM B Bodin, H Wagstaff, S Saecdi, L Nardi, E Vespa, J Mawer, A Nisbet, ... 2018 IEEE International Conference on Robotics and Automation (ICRA), 3637-3644, 2018 | 84 | 2018 |
| Vanilla Bayesian Optimization Performs Great in High Dimension C Hvarfner, EO Hellsten, L Nardi International Conference on Machine Learning (ICML), 2024 | 77 | 2024 |
| Navigating the landscape for real-time localization and mapping for robotics and virtual and augmented reality S Saeedi, B Bodin, H Wagstaff, A Nisbet, L Nardi, J Mawer, N Melot, ... Proceedings of the IEEE 106 (11), 2020-2039, 2018 | 73 | 2018 |
| Increasing the scope as you learn: Adaptive bayesian optimization in nested subspaces L Papenmeier, L Nardi, M Poloczek Advances in Neural Information Processing Systems 35, 11586-11601, 2022 | 71 | 2022 |
| Integrating algorithmic parameters into benchmarking and design space exploration in 3D scene understanding B Bodin, L Nardi, MZ Zia, H Wagstaff, G Sreekar Shenoy, M Emani, ... International Conference on Parallel Architectures and Compilation (PACT), 57-69, 2016 | 65 | 2016 |
| Joint entropy search for maximally-informed Bayesian optimization C Hvarfner, F Hutter, L Nardi Advances in Neural Information Processing Systems 35, 11494-11506, 2022 | 63 | 2022 |
| Priorband: Practical hyperparameter optimization in the age of deep learning N Mallik, E Bergman, C Hvarfner, D Stoll, M Janowski, M Lindauer, ... Advances in Neural Information Processing Systems 36, 7377-7391, 2023 | 53 | 2023 |
| A structure-exploiting numbering algorithm for finite elements on extruded meshes, and its performance evaluation in Firedrake GT Bercea, ATT McRae, DA Ham, L Mitchell, F Rathgeber, L Nardi, ... Geoscientific Model Development 9 (10), 3803-3815, 2016 | 53 | 2016 |
| LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso L Nardi, A Gramfort, J Salmon, K Sehic 1st International Conference on Automated Machine Learning (AutoML), 2022 | 48* | 2022 |
| Comparative Design Space Exploration of Dense and Semi-Dense SLAM MZ Zia, L Nardi, A Jack, E Vespa, B Bodin, PHJ Kelly, AJ Davison International Conference on Robotics and Automation (ICRA), 2016 | 43 | 2016 |
| Homunculus: Auto-generating efficient data-plane ml pipelines for datacenter networks T Swamy, A Zulfiqar, L Nardi, M Shahbaz, K Olukotun Proceedings of the 28th ACM International Conference on Architectural …, 2023 | 42 | 2023 |
| Skill-based multi-objective reinforcement learning of industrial robot tasks with planning and knowledge integration M Mayr, F Ahmad, K Chatzilygeroudis, L Nardi, V Krueger 2022 IEEE international conference on robotics and biomimetics (ROBIO), 1995 …, 2022 | 42 | 2022 |
Kunle OlukotunCadence Design Systems Professor of Computer Science, Stanford UniversityVerified email at stanford.edu
