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Aditya Nori
Aditya Nori
Microsoft Research
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Titel
Zitiert von
Zitiert von
Jahr
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
5392017
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
4952016
Probabilistic programming
AD Gordon, TA Henzinger, AV Nori, SK Rajamani
Future of software engineering proceedings, 167-181, 2014
4922014
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
3822016
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
2932006
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
2672010
Artificial intelligence in healthcare: transforming the practice of medicine
J Bajwa, U Munir, A Nori, B Williams
Future healthcare journal 8 (2), e188, 2021
2662021
Proofs from tests
NE Beckman, AV Nori, SK Rajamani, RJ Simmons
Proceedings of the 2008 international symposium on Software testing and …, 2008
2202008
Merlin: Specification inference for explicit information flow problems
B Livshits, AV Nori, SK Rajamani, A Banerjee
ACM Sigplan Notices 44 (6), 75-86, 2009
1992009
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
1732013
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
1532008
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
1332014
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
1322018
Automatically refining abstract interpretations
BS Gulavani, S Chakraborty, AV Nori, SK Rajamani
International Conference on Tools and Algorithms for the Construction and …, 2008
1272008
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
1222022
Interpolants as classifiers
R Sharma, AV Nori, A Aiken
International Conference on Computer Aided Verification, 71-87, 2012
1192012
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
1172017
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
1062013
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