Mateo Rojas-Carulla

I am a fourth year PhD student in Machine Learning in the Cambridge-Tübingen program, supervised by Jonas Peters, Bernhard Schölkopf and Richard Turner.

I hold a Master of Science in Engineering from Ecole des Ponts ParisTech and a Master of Advanced Study in Mathematics from the University of Cambridge. Prior to my PhD I worked at Credit Suisse and Speechmatics.

During my PhD, I interned at Facebook AI Research in Paris.

You can find more details on my CV.


MRC. Learning Transferable Representations. PhD thesis, University of Cambridge.

MRC, I. Tolstikhin, G. Luque, N. Youngblut, R. Ley, B. Schölkopf. GeNet: Deep Representations for Metagenomics. Preprint. Code.

MRC, R. Turner, B. Schölkopf, J. Peters. Invariant Models For Causal Transfer Learning. JMLR 2018. Code.

G. Parascandolo, N. Kilbertus, MRC, B. Schölkopf. Learning Independent Causal Mechanisms. ICML 2018, NIPS workshops 2017.

N. Kilbertus, MRC, G. Parascandolo, M. Hardt, D. Janzing, B. Schölkopf. Avoiding Discrimination Through Causal Reasoning. NIPS 2017.

M. Bauer*, MRC*, B. Schölkopf, R. Turner. Discriminative k-shot Learning Using Probabilistic Models. NIPS workshops 2017. Code.

MRC, M. Baroni, D. Lopez-Paz. Causal Discovery Using Proxy Variables. ICLR workshops 2017. Code.


mrojascarulla [at] gmail [dot] com