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ORCIDMaria I. Gorinova 0001
Person information
- affiliation: University of Edinburgh, United Kingdom
- affiliation: Twitter Inc.
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Journal Articles
- 2022
[j2]Maria I. Gorinova, Andrew D. Gordon, Charles Sutton, Matthijs Vákár
:
Conditional Independence by Typing. ACM Trans. Program. Lang. Syst. 44(1): 4:1-4:54 (2022)- 2019
- [j1]Maria I. Gorinova, Andrew D. Gordon, Charles Sutton:
Probabilistic programming with densities in SlicStan: efficient, flexible, and deterministic. Proc. ACM Program. Lang. 3(POPL): 35:1-35:30 (2019)
Conference and Workshop Papers
- 2022
- [c9]Emanuele Rossi, Henry Kenlay, Maria I. Gorinova, Benjamin Paul Chamberlain, Xiaowen Dong, Michael M. Bronstein:
On the Unreasonable Effectiveness of Feature Propagation in Learning on Graphs With Missing Node Features. LoG 2022: 11 - 2021
- [c8]Ben Chamberlain, James Rowbottom, Maria I. Gorinova, Michael M. Bronstein, Stefan Webb, Emanuele Rossi:
GRAND: Graph Neural Diffusion. ICML 2021: 1407-1418 - 2020
- [c7]Maria I. Gorinova, Dave Moore, Matthew D. Hoffman:
Automatic Reparameterisation of Probabilistic Programs. ICML 2020: 3648-3657 - 2019
- [c6]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:
Usability of Probabilistic Programming Languages. PPIG 2019 - 2016
- [c5]Maria Ivanova Gorinova, Yoad Lewenberg, Yoram Bachrach, Alfredo Kalaitzis, Michael Fagan, Dean Carignan, Nitin Gautam:
Predicting Gaming Related Properties from Twitter Accounts. AAAI 2016: 4357-4358 - [c4]Alfredo Kalaitzis, Maria Ivanova Gorinova, Yoad Lewenberg, Yoram Bachrach, Michael Fagan, Dean Carignan, Nitin Gautam:
Predicting Gaming Related Properties from Twitter Profiles. BigDataService 2016: 28-35 - [c3]Maria I. Gorinova, Advait Sarkar, Alan F. Blackwell, Don Syme:
A Live, Multiple-Representation Probabilistic Programming Environment for Novices. CHI 2016: 2533-2537 - [c2]Maria I. Gorinova, Karl Prince, Sallyanne Meakins, Alain Vuylsteke, Matthew Jones, Alan F. Blackwell:
The End-User Programming Challenge of Data Wrangling. PPIG 2016: 25 - [c1]Maria I. Gorinova, Advait Sarkar, Alan F. Blackwell, Karl Prince:
Transforming spreadsheets with data noodles. VL/HCC 2016: 236-237
Informal and Other Publications
- 2022
- [i7]Maria I. Gorinova:
Program Analysis of Probabilistic Programs. CoRR abs/2204.06868 (2022) - 2021
- [i6]Benjamin Paul Chamberlain, James Rowbottom, Maria I. Gorinova, Stefan Webb, Emanuele Rossi, Michael M. Bronstein:
GRAND: Graph Neural Diffusion. CoRR abs/2106.10934 (2021) - [i5]Emanuele Rossi, Henry Kenlay, Maria I. Gorinova, Benjamin Paul Chamberlain, Xiaowen Dong, Michael M. Bronstein:
On the Unreasonable Effectiveness of Feature propagation in Learning on Graphs with Missing Node Features. CoRR abs/2111.12128 (2021) - 2020
- [i4]Maria I. Gorinova, Andrew D. Gordon, Charles Sutton, Matthijs Vákár:
Conditional independence by typing. CoRR abs/2010.11887 (2020) - 2019
- [i3]Maria I. Gorinova, Dave Moore, Matthew D. Hoffman:
Automatic Reparameterisation of Probabilistic Programs. CoRR abs/1906.03028 (2019) - 2018
- [i2]Maria I. Gorinova, Andrew D. Gordon, Charles Sutton:
Probabilistic Programming with Densities in SlicStan: Efficient, Flexible and Deterministic. CoRR abs/1811.00890 (2018) - [i1]Dave Moore, Maria I. Gorinova:
Effect Handling for Composable Program Transformations in Edward2. CoRR abs/1811.06150 (2018)
Coauthor Index
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