| Fast marching tree: A fast marching sampling-based method for optimal motion planning in many dimensions L Janson, E Schmerling, A Clark, M Pavone The International journal of robotics research 34 (7), 883-921, 2015 | 349 | 2015 |
| Panning for gold: ‘model‐X’ knockoffs for high dimensional controlled variable selection E Candes, Y Fan, L Janson, J Lv Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2018 | 243* | 2018 |
| Risk-constrained reinforcement learning with percentile risk criteria Y Chow, M Ghavamzadeh, L Janson, M Pavone The Journal of Machine Learning Research 18 (1), 6070-6120, 2017 | 111 | 2017 |
| Deterministic sampling-based motion planning: Optimality, complexity, and performance L Janson, B Ichter, M Pavone The International Journal of Robotics Research 37 (1), 46-61, 2018 | 79 | 2018 |
| Number of lymph nodes removed and survival after gastric cancer resection: an analysis from the US Gastric Cancer Collaborative S Gholami, L Janson, DJ Worhunsky, TB Tran, MH Squires III, LX Jin, ... Journal of the American College of Surgeons 221 (2), 291-299, 2015 | 66 | 2015 |
| Optimal sampling-based motion planning under differential constraints: the driftless case E Schmerling, L Janson, M Pavone 2015 IEEE International Conference on Robotics and Automation (ICRA), 2368-2375, 2015 | 65 | 2015 |
| Monte Carlo motion planning for robot trajectory optimization under uncertainty L Janson, E Schmerling, M Pavone Robotics Research, 343-361, 2018 | 60 | 2018 |
| Eigenprism: inference for high dimensional signal-to-noise ratios L Janson, RF Barber, E Candes Journal of the Royal Statistical Society. Series B, Statistical methodology …, 2017 | 54 | 2017 |
| An asymptotically-optimal sampling-based algorithm for bi-directional motion planning JA Starek, JV Gomez, E Schmerling, L Janson, L Moreno, M Pavone 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015 | 50* | 2015 |
| Effective degrees of freedom: a flawed metaphor L Janson, W Fithian, TJ Hastie Biometrika 102 (2), 479-485, 2015 | 44 | 2015 |
| Optimal sampling-based motion planning under differential constraints: the drift case with linear affine dynamics E Schmerling, L Janson, M Pavone 2015 54th IEEE Conference on Decision and Control (CDC), 2574-2581, 2015 | 41 | 2015 |
| Predicting patient ‘cost blooms’ in Denmark: a longitudinal population-based study S Tamang, A Milstein, HT Sørensen, L Pedersen, L Mackey, JR Betterton, ... BMJ open 7 (1), e011580, 2017 | 30 | 2017 |
| Sarcoma resection with and without vascular reconstruction: a matched case-control study GA Poultsides, TB Tran, E Zambrano, L Janson, DG Mohler, MW Mell, ... Annals of surgery 262 (4), 632, 2015 | 28 | 2015 |
| Familywise error rate control via knockoffs L Janson, W Su arXiv preprint arXiv:1505.06549, 2015 | 26 | 2015 |
| Safe motion planning in unknown environments: Optimality benchmarks and tractable policies L Janson, T Hu, M Pavone arXiv preprint arXiv:1804.05804, 2018 | 25 | 2018 |
| Metropolized knockoff sampling S Bates, E Candès, L Janson, W Wang Journal of the American Statistical Association, 1-15, 2020 | 14 | 2020 |
| Undergraduate experiment in point-contact spectroscopy with a Nb/Au junction L Janson, M Klein, H Lewis, A Lucas, A Marantan, K Luna American Journal of Physics 80 (2), 2133-140, 2012 | 14* | 2012 |
| Revisiting the asymptotic optimality of RRT K Solovey, L Janson, E Schmerling, E Frazzoli, M Pavone 2020 IEEE International Conference on Robotics and Automation (ICRA), 2189-2195, 2020 | 11 | 2020 |
| Relaxing the assumptions of knockoffs by conditioning D Huang, L Janson arXiv preprint arXiv:1903.02806, 2019 | 9 | 2019 |
| A Model-Free Approach to High-Dimensional Inference L Janson Stanford University, 2017 | 7 | 2017 |
Marco PavoneAssociate Professor of Aeronautics and Astronautics, Stanford UniversityVerified email at stanford.edu
