Fredrik D. Johansson

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David SontagProfessor, Massachusetts Institute of TechnologyVerified email at csail.mit.edu
Devdatt DubhashiProfessor ChalmersVerified email at chalmers.se
Uri ShalitAssociate Professor, Tel Aviv UniversityVerified email at tauex.tau.ac.il
Omer GottesmanAmazonVerified email at amazon.com
Adel DaoudInstitute for Analytical Sociology, Linköping University, Division for Data Science and AI, ChalmersVerified email at liu.se
Finale Doshi-VelezProfessor, HarvardVerified email at seas.harvard.edu
Matthieu KomorowskiMD, PhD, Clinical Senior Lecturer at Imperial College London ; Visiting Scholar at MITVerified email at imperial.ac.uk
Daniel H. SolomonBrigham and Women's HospitalVerified email at partners.org
Chiranjib BhattacharyyaProfessor, Indian Institute of ScienceVerified email at csa.iisc.ernet.in
Emil CarlssonResearch ScientistVerified email at sleepcycle.com
Mikael KågebäckChalmers University of TechnologyVerified email at chalmers.se
Lena StempfleChalmers University of TechnologyVerified email at chalmers.se
Christopher MorrisRWTH Aachen UniversityVerified email at cs.rwth-aachen.de
Nils M. KriegeUniversity of ViennaVerified email at univie.ac.at
Irene Y. ChenAssistant Professor, UC Berkeley and UC San FranciscoVerified email at berkeley.edu
Nathan KallusCornell UniversityVerified email at cornell.edu
Jamie E CollinsBrigham and Women's HospitalVerified email at bwh.harvard.edu
Rajesh RanganathAssistant Professor, NYUVerified email at cs.princeton.edu
Ashkan PanahiAssistant ProfessorVerified email at chalmers.se
Richard JohanssonUniversity of Gothenburg and Chalmers University of TechnologyVerified email at gu.se

Fredrik D. Johansson

Associate Professor, Chalmers University of Technology

Verified email at chalmers.se - Homepage

Machine Learning Causal Inference Healthcare


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Estimating individual treatment effect: generalization bounds and algorithms U Shalit, F Johansson, D Sontag Proceedings of the 34th International Conference on Machine Learning 70 …, 2017	1298	2017
Learning representations for counterfactual inference FD Johansson, U Shalit, D Sontag Proceedings of the 33rd International Conference on Machine Learning 48 …, 2016	949	2016
A survey on graph kernels NM Kriege, FD Johansson, C Morris Applied Network Science 5, 1-42, 2020	557	2020
Why is my classifier discriminatory? I Chen, FD Johansson, D Sontag Proceedings of the 32nd International Conference on Neural Information …, 2018	550	2018
Guidelines for reinforcement learning in healthcare O Gottesman, F Johansson, M Komorowski, A Faisal, D Sontag, ... Nature Medicine 25 (1), 16--18, 2019	497	2019
Support and Invertibility in Domain-Invariant Representations FD Johansson, R Ranganath, D Sontag AISTATS, Proceedings of Machine Learning Research, in PMLR 89, 527-536, 2019	215	2019
Evaluating reinforcement learning algorithms in observational health settings O Gottesman, F Johansson, J Meier, J Dent, D Lee, S Srinivasan, L Zhang, ... arXiv preprint arXiv:1805.12298, 2018	149	2018
Generalization Bounds and Representation Learning for Estimation of Potential Outcomes and Causal Effects FD Johansson, U Shalit, N Kallus, D Sontag Journal of Machine Learning Research 23 (166), 1–50, 2022	137	2022
Learning weighted representations for generalization across designs FD Johansson, N Kallus, U Shalit, D Sontag arXiv preprint arXiv:1802.08598, 2018	97	2018
Learning to play guess who? and inventing a grounded language as a consequence E Jorge, M Kågebäck, FD Johansson, E Gustavsson arXiv preprint arXiv:1611.03218, 2016	96	2016
Global graph kernels using geometric embeddings FD Johansson, V Jethava, D Dubhashi, C Bhattacharyya Proceedings of the 31st International Conference on Machine Learning (ICML …, 2014	77	2014
Entity disambiguation in anonymized graphs using graph kernels L Hermansson, T Kerola, F Johansson, V Jethava, D Dubhashi Proceedings of the 22nd ACM international conference on Information …, 2013	68	2013
Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery A Panahi, D Dubhashi, FD Johansson, C Bhattacharyya Proceedings of the 34th International Conference on Machine Learning 70 …, 2017	57	2017
Learning with similarity functions on graphs using matchings of geometric embeddings FD Johansson, D Dubhashi Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015	47	2015
Characterization of overlap in observational studies M Oberst, F Johansson, D Wei, T Gao, G Brat, D Sontag, K Varshney International Conference on Artificial Intelligence and Statistics, 788-798, 2020	36	2020
Visions and open challenges for a knowledge-based culturomics N Tahmasebi, L Borin, G Capannini, D Dubhashi, P Exner, M Forsberg, ... International Journal on Digital Libraries 15, 169-187, 2015	30	2015
Neural context embeddings for automatic discovery of word senses M Kågebäck, F Johansson, R Johansson, D Dubhashi Proceedings of the 1st Workshop on Vector Space Modeling for Natural …, 2015	29	2015
Predicting Progression & Cognitive Decline in Amyloid-Positive Patients with Alzheimer's Disease HV Dansson, L Stempfle, H Egilsdóttir, A Schliep, E Portelius, K Blennow, ... Alzheimer's Research & Therapy, 2021	28	2021
Using satellite images and deep learning to measure health and living standards in india A Daoud, F Jordán, M Sharma, F Johansson, D Dubhashi, S Paul, ... Social Indicators Research 167 (1), 475-505, 2023	26*	2023
Image-based treatment effect heterogeneity CT Jerzak, F Johansson, A Daoud 2nd Conference on Causal Learning and Reasoning, 2023	26	2023

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