Pyro: Deep universal probabilistic programming E Bingham, JP Chen, M Jankowiak, F Obermeyer, N Pradhan, ...
Journal of machine learning research 20 (28), 1-6, 2019
1468 2019 Jet Substructure at the Tevatron and LHC: New results, new tools, new benchmarks A Altheimer, S Arora, L Asquith, G Brooijmans, J Butterworth, ...
Journal of Physics G: Nuclear and Particle Physics 39 (6), 063001, 2012
422 2012 Composable effects for flexible and accelerated probabilistic programming in NumPyro D Phan, N Pradhan, M Jankowiak
arXiv preprint arXiv:1912.11554, 2019
383 2019 Boosted objects and jet substructure at the LHC. Report of BOOST2012, held at IFIC Valencia, 23rd–27th of July 2012 A Altheimer, A Arce, L Asquith, J Backus Mayes, EB Kuutmann, J Berger, ...
The European Physical Journal C 74, 1-24, 2014
300 2014 Analysis of 6.4 million SARS-CoV-2 genomes identifies mutations associated with fitness F Obermeyer, M Jankowiak, N Barkas, SF Schaffner, JD Pyle, ...
Science 376 (6599), 1327-1332, 2022
255 2022 LHC probes the hidden sector J Jaeckel, M Jankowiak, M Spannowsky
Physics of the Dark Universe 2 (3), 111-117, 2013
209 2013 Towards an understanding of the correlations in jet substructure: Report of BOOST2013, hosted by the University of Arizona, 12th–16th of August 2013 D Adams, A Arce, L Asquith, M Backovic, T Barillari, P Berta, D Bertolini, ...
The European Physical Journal C 75, 1-52, 2015
196 2015 High-dimensional Bayesian optimization with sparse axis-aligned subspaces D Eriksson, M Jankowiak
Uncertainty in Artificial Intelligence, 493-503, 2021
164 2021 Variational Bayesian optimal experimental design A Foster, M Jankowiak, E Bingham, P Horsfall, YW Teh, T Rainforth, ...
Advances in Neural Information Processing Systems 32, 2019
154 2019 Pathwise Derivatives Beyond the Reparameterization Trick M Jankowiak, F Obermeyer
Proceedings of the 35th International Conference on Machine Learning, PMLR …, 2018
134 2018 Constraining -violating Higgs sectors at the LHC using gluon fusion MJ Dolan, P Harris, M Jankowiak, M Spannowsky
Physical Review D 90 (7), 073008, 2014
130 2014 Jet substructure without trees M Jankowiak, AJ Larkoski
Journal of High Energy Physics 2011 (6), 1-21, 2011
111 2011 Jet dipolarity: top tagging with color flow A Hook, M Jankowiak, JG Wacker
Journal of High Energy Physics 2012 (4), 1-15, 2012
107 2012 Parametric gaussian process regressors M Jankowiak, G Pleiss, J Gardner
International conference on machine learning, 4702-4712, 2020
94 2020 A unified stochastic gradient approach to designing bayesian-optimal experiments A Foster, M Jankowiak, M O’Meara, YW Teh, T Rainforth
International Conference on Artificial Intelligence and Statistics, 2959-2969, 2020
81 2020 Learning how to count: a high multiplicity search for the LHC S El Hedri, A Hook, M Jankowiak, JG Wacker
Journal of High Energy Physics 2013 (8), 1-38, 2013
72 2013 Fast matrix square roots with applications to Gaussian processes and Bayesian optimization G Pleiss, M Jankowiak, D Eriksson, A Damle, J Gardner
Advances in neural information processing systems 33, 22268-22281, 2020
60 2020 Event extraction using distant supervision K Reschke, M Jankowiak, M Surdeanu, CD Manning, D Jurafsky
Language Resources and Evaluation Conference (LREC), 2014
48 2014 Nearly supersymmetric dark atoms SR Behbahani, M Jankowiak, T Rube, JG Wacker
Advances in High Energy Physics 2011 (1), 709492, 2011
39 2011 Analysis of 2.1 million SARS-CoV-2 genomes identifies mutations associated with transmissibility F Obermeyer, SF Schaffner, M Jankowiak, N Barkas, JD Pyle, DJ Park, ...
MedRxiv, 2021
38 2021