Maria I. Gorinova

According to our database, Maria I. Gorinova authored at least 13 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Conditional Independence by Typing.

Maria I. Gorinova, Andrew D. Gordon, Charles Sutton, Matthijs Vákár

ACM Trans. Program. Lang. Syst., 2022

Program Analysis of Probabilistic Programs.

Maria I. Gorinova

CoRR, 2022

On the Unreasonable Effectiveness of Feature Propagation in Learning on Graphs With Missing Node Features.

Emanuele Rossi, Henry Kenlay, Maria I. Gorinova, Benjamin Paul Chamberlain, Xiaowen Dong, Michael M. Bronstein

Proceedings of the Learning on Graphs Conference, 2022

2021

GRAND: Graph Neural Diffusion.

Ben Chamberlain, James Rowbottom, Maria I. Gorinova, Michael M. Bronstein, Stefan Webb, Emanuele Rossi

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Automatic Reparameterisation of Probabilistic Programs.

Maria I. Gorinova, Dave Moore, Matthew D. Hoffman

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Probabilistic programming with densities in SlicStan: efficient, flexible, and deterministic.

Maria I. Gorinova, Andrew D. Gordon, Charles Sutton

Proc. ACM Program. Lang., 2019

Usability of Probabilistic Programming Languages.

Alan F. Blackwell, Luke Church, Martin Erwig, James Geddes, Andy Gordon, Maria I. Gorinova, Atilim Gunes Baydin, Bradley Gram-Hansen, Tobias Kohn, Neil D. Lawrence, Vikash Mansinghka, Brooks Paige, Tomas Petricek, Diana Robinson, Advait Sarkar, Oliver Strickson

Proceedings of the 30th Annual Workshop of the Psychology of Programming Interest Group, 2019

2018

Effect Handling for Composable Program Transformations in Edward2.

Dave Moore, Maria I. Gorinova

CoRR, 2018

2016

Transforming spreadsheets with data noodles.

Maria I. Gorinova, Advait Sarkar, Alan F. Blackwell, Karl Prince

Proceedings of the 2016 IEEE Symposium on Visual Languages and Human-Centric Computing, 2016

The End-User Programming Challenge of Data Wrangling.

Maria I. Gorinova, Karl Prince, Sallyanne Meakins, Alain Vuylsteke, Matthew Jones, Alan F. Blackwell

Proceedings of the 27th Annual Workshop of the Psychology of Programming Interest Group, 2016

A Live, Multiple-Representation Probabilistic Programming Environment for Novices.

Maria I. Gorinova, Advait Sarkar, Alan F. Blackwell, Don Syme

Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

Predicting Gaming Related Properties from Twitter Profiles.

Alfredo Kalaitzis, Maria Ivanova Gorinova, Yoad Lewenberg, Yoram Bachrach, Michael Fagan, Dean Carignan, Nitin Gautam

Proceedings of the Second IEEE International Conference on Big Data Computing Service and Applications, 2016

Predicting Gaming Related Properties from Twitter Accounts.

Maria Ivanova Gorinova, Yoad Lewenberg, Yoram Bachrach, Alfredo Kalaitzis, Michael Fagan, Dean Carignan, Nitin Gautam

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016