Researcher profile · Semantic Scholar

Y. Rubanova

h-index: 16
Works: 27
Citations: 12K

Most-cited papers

Neural Ordinary Differential Equations
T. Chen, Y. Rubanova, J. Bettencourt, D. Duvenaud
2018Neural Information Processing Systems8,031 citations
Semantic Scholar
Latent Ordinary Differential Equations for Irregularly-Sampled Time Series
Y. Rubanova, Tian-Qi Chen, D. Duvenaud
2019Neural Information Processing Systems1,023 citations
Semantic Scholar
The evolutionary history of 2,658 cancers
M. Gerstung, C. Jolly, I. Leshchiner, S. Dentro +66 more
2017Nature969 citations Open access
Semantic Scholar
Characterizing genetic intra-tumor heterogeneity across 2,658 human cancer genomes
S. Dentro, I. Leshchiner, K. Haase, M. Tarabichi +69 more
2020Cell469 citations Open access
Semantic Scholar
Latent ODEs for Irregularly-Sampled Time Series
Y. Rubanova, Ricky T. Q. Chen, D. Duvenaud
2019arXiv.org378 citations
Semantic Scholar
The Evolutionary Landscape of Localized Prostate Cancers Drives Clinical Aggression.
S. M. Espiritu, Lydia Y. Liu, Y. Rubanova, Vinayak Bhandari +20 more
2018Cell215 citations Open access
Semantic Scholar
A Generalist Neural Algorithmic Learner
Borja Ibarz, Vitaly Kurin, G. Papamakarios, Kyriacos Nikiforou +11 more
2022LOG IN80 citations Open access
Semantic Scholar
Simple GNN Regularisation for 3D Molecular Property Prediction&Beyond
Jonathan Godwin, Michael Schaarschmidt, Alex Gaunt, Alvaro Sanchez-Gonzalez +4 more
202172 citations
Semantic Scholar
Neutral tumor evolution?
M. Tarabichi, I. Martincorena, M. Gerstung, A. Leroi +67 more
2017Nature Genetics66 citations Open access
Semantic Scholar
Learning rigid dynamics with face interaction graph networks
Kelsey R. Allen, Y. Rubanova, Tatiana Lopez-Guevara, William F. Whitney +3 more
2022International Conference on Learning Representations63 citations Open access
Semantic Scholar
Graph network simulators can learn discontinuous, rigid contact dynamics
Kelsey R. Allen, Tatiana Lopez-Guevara, Y. Rubanova, Kimberly L. Stachenfeld +3 more
2022Conference on Robot Learning58 citations
Semantic Scholar
Amortized Bayesian Optimization over Discrete Spaces
Kevin Swersky, Y. Rubanova, David Dohan, Kevin P. Murphy
2020Conference on Uncertainty in Artificial Intelligence54 citations
Semantic Scholar
Portraits of genetic intra-tumour heterogeneity and subclonal selection across cancer types
S. Dentro, I. Leshchiner, K. Haase, M. Tarabichi +42 more
2018bioRxiv46 citations Open access
Semantic Scholar
Reconstructing evolutionary trajectories of mutation signature activities in cancer using TrackSig
Y. Rubanova, Rui-An Shi, Caitlin F. Harrigan, Roujia Li +4 more
2020Nature Communications44 citations Open access
Semantic Scholar
Constraint-based graph network simulator
Y. Rubanova, Alvaro Sanchez-Gonzalez, T. Pfaff, P. Battaglia
2021International Conference on Machine Learning38 citations
Semantic Scholar
Very Deep Graph Neural Networks Via Noise Regularisation
Jonathan Godwin, Michael Schaarschmidt, Alex Gaunt, Alvaro Sanchez-Gonzalez +4 more
2021arXiv.org23 citations
Semantic Scholar
TrackSigFreq: subclonal reconstructions based on mutation signatures and allele frequencies
Caitlin F. Harrigan, Y. Rubanova, Q. Morris, Alina Selega
2019Pacific Symposium on Biocomputing11 citations Open access
Semantic Scholar
Abstract 3000: Pervasive intra-tumour heterogeneity and subclonal selection across cancer types
S. Dentro, I. Leshchiner, K. Haase, J. Wintersinger +41 more
2018Molecular and Cellular Biology / Genetics10 citations
Semantic Scholar
TrackSig: reconstructing evolutionary trajectories of mutations in cancer
Y. Rubanova, Rui-An Shi, Roujia Li, J. Wintersinger +3 more
2018bioRxiv8 citations Open access
Semantic Scholar
Author Correction: The evolutionary history of 2,658 cancers
M. Gerstung, C. Jolly, I. Leshchiner, S. Dentro +42 more
2023Nature6 citations Open access
Semantic Scholar
Abstract 218: The evolutionary history of 2,658 cancers
C. Jolly, M. Gerstung, I. Leshchiner, S. Dentro +41 more
2018Tumor Biology2 citations Open access
Semantic Scholar
Author Correction: Reconstructing evolutionary trajectories of mutation signature activities in cancer using TrackSig
Y. Rubanova, Rui-An Shi, Caitlin F. Harrigan, Roujia Li +4 more
2022Nature Communications1 citations Open access
Semantic Scholar
Continuous-time Latent-variable Models for Time Series
Y. Rubanova
20201 citations
Semantic Scholar
ECONSTRUCTING EVOLUTIONARY TRAJECTORIES OF MUTATIONS IN CANCER
Y. Rubanova, Rui-An Shi, Roujia Li, J. Wintersinger +3 more
20181 citations
Semantic Scholar
Learning Ordinary Differential Equations with the Line Integral Loss Function
Y. Rubanova, J. Bettencourt, D. Duvenaud, H. Wallach +5 more
20220 citations
Semantic Scholar
Peer Review #2 of "The Erlang distribution approximates the age distribution of incidence of childhood and young adulthood cancers (v0.2)"
Aleksey V. Belikov, Alexey D. Vyatkin, S. Leonov, P. Armitage +318 more
20210 citations Open access
Semantic Scholar
A geometric alternative to Nesterov accelerated gradient descent
Sushant Sachdeva, Y. Rubanova
20170 citations
Semantic Scholar

C. Jolly

×8

I. Leshchiner×8

S. Dentro×8

P. Anur×8

M. Tarabichi×8

K. Kleinheinz×8

K. Haase×8

G. Macintyre×8