Mateo Rojas-Carulla
Mateo Rojas-Carulla
Lakera AI
Verified email at lakera.ai
Title
Cited by
Cited by
Year
Avoiding discrimination through causal reasoning
N Kilbertus, M Rojas-Carulla, G Parascandolo, M Hardt, D Janzing, ...
arXiv preprint arXiv:1706.02744, 2017
3852017
Invariant models for causal transfer learning
M Rojas-Carulla, B Schölkopf, R Turner, J Peters
The Journal of Machine Learning Research 19 (1), 1309-1342, 2018
1292018
Learning independent causal mechanisms
G Parascandolo, N Kilbertus, M Rojas-Carulla, B Schölkopf
International Conference on Machine Learning, 4036-4044, 2018
722018
Discriminative k-shot learning using probabilistic models
M Bauer, M Rojas-Carulla, JB Świątkowski, B Schölkopf, RE Turner
arXiv preprint arXiv:1706.00326, 2017
442017
DeepMAsED: evaluating the quality of metagenomic assemblies
O Mineeva, M Rojas-Carulla, RE Ley, B Schölkopf, ND Youngblut
Bioinformatics 36 (10), 3011-3017, 2020
122020
Genet: Deep representations for metagenomics
M Rojas-Carulla, I Tolstikhin, G Luque, N Youngblut, R Ley, B Schölkopf
arXiv preprint arXiv:1901.11015, 2019
122019
Causal discovery using proxy variables
M Rojas-Carulla, M Baroni, D Lopez-Paz
arXiv preprint arXiv:1702.07306, 2017
92017
Causal transfer in machine learning
M Rojas-Carulla, B Schölkopf, R Turner, J Peters
arXiv preprint arXiv:1507.05333, 2015
92015
JB Swi atkowski, B. Schölkopf, and RE Turner. Discriminative k-shot learning using probabilistic models
M Bauer, M Rojas-Carulla
arXiv preprint arXiv:1706.00326, 2017
62017
Learning Transferable Representations
M Rojas-Carulla
University of Cambridge, 2019
2019
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