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Aditya Nori
Aditya Nori
Microsoft Research
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Title
Cited by
Cited by
Year
Unsupervised domain adaptation in brain lesion segmentation with adversarial networks
K Kamnitsas, C Baumgartner, C Ledig, V Newcombe, J Simpson, A Kane, ...
Information Processing in Medical Imaging: 25th International Conference …, 2017
5542017
Measuring neural net robustness with constraints
O Bastani, Y Ioannou, L Lampropoulos, D Vytiniotis, A Nori, A Criminisi
Advances in neural information processing systems 29, 2016
5072016
Probabilistic programming
AD Gordon, TA Henzinger, AV Nori, SK Rajamani
Future of software engineering proceedings, 167-181, 2014
5052014
DeepMedic for brain tumor segmentation
K Kamnitsas, E Ferrante, S Parisot, C Ledig, AV Nori, A Criminisi, ...
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2016
3922016
Artificial intelligence in healthcare: transforming the practice of medicine
J Bajwa, U Munir, A Nori, B Williams
Future healthcare journal 8 (2), e188-e194, 2021
3912021
Holmes: Effective statistical debugging via efficient path profiling
TM Chilimbi, B Liblit, K Mehra, AV Nori, K Vaswani
2009 IEEE 31st International Conference on Software Engineering, 34-44, 2009
3532009
Synergy: A new algorithm for property checking
BS Gulavani, TA Henzinger, Y Kannan, AV Nori, SK Rajamani
Proceedings of the 14th ACM SIGSOFT international symposium on Foundations …, 2006
2962006
Compositional may-must program analysis: unleashing the power of alternation
P Godefroid, AV Nori, SK Rajamani, SD Tetali
Proceedings of the 37th annual ACM SIGPLAN-SIGACT symposium on principles of …, 2010
2702010
Proofs from tests
NE Beckman, AV Nori, SK Rajamani, RJ Simmons
Proceedings of the 2008 international symposium on Software testing and …, 2008
2222008
Merlin: Specification inference for explicit information flow problems
B Livshits, AV Nori, SK Rajamani, A Banerjee
ACM Sigplan Notices 44 (6), 75-86, 2009
2022009
Adaptive neural trees
R Tanno, K Arulkumaran, D Alexander, A Criminisi, A Nori
International Conference on Machine Learning, 6166-6175, 2019
1932019
A data driven approach for algebraic loop invariants
R Sharma, S Gupta, B Hariharan, A Aiken, P Liang, AV Nori
Programming Languages and Systems: 22nd European Symposium on Programming …, 2013
1742013
Automating software testing using program analysis
P Godefroid, P de Halleux, AV Nori, SK Rajamani, W Schulte, N Tillmann, ...
IEEE software 25 (5), 30-37, 2008
1562008
Making the most of text semantics to improve biomedical vision–language processing
B Boecking, N Usuyama, S Bannur, DC Castro, A Schwaighofer, S Hyland, ...
European conference on computer vision, 1-21, 2022
1472022
R2: An efficient MCMC sampler for probabilistic programs
A Nori, CK Hur, S Rajamani, S Samuel
Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014
1372014
Autofocus layer for semantic segmentation
Y Qin, K Kamnitsas, S Ancha, J Nanavati, G Cottrell, A Criminisi, A Nori
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
1352018
Automatically refining abstract interpretations
BS Gulavani, S Chakraborty, AV Nori, SK Rajamani
International Conference on Tools and Algorithms for the Construction and …, 2008
1262008
Fairsquare: probabilistic verification of program fairness
A Albarghouthi, L D'Antoni, S Drews, AV Nori
Proceedings of the ACM on Programming Languages 1 (OOPSLA), 1-30, 2017
1222017
Interpolants as classifiers
R Sharma, AV Nori, A Aiken
International Conference on Computer Aided Verification, 71-87, 2012
1212012
Verification as learning geometric concepts
R Sharma, S Gupta, B Hariharan, A Aiken, AV Nori
Static Analysis: 20th International Symposium, SAS 2013, Seattle, WA, USA …, 2013
1072013
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