Andrei Liviu Nicolicioiu

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Iulia DutaPhD student @ Cambridge_CLVerified email at cam.ac.uk
Marius LeordeanuProfessor, University Politehnica Bucharest and Norwegian Research Center (NORCE)Verified email at cs.pub.ro
Julius von KügelgenETH ZürichVerified email at tuebingen.mpg.de
Cian EastwoodUniversity of EdinburghVerified email at ed.ac.uk
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHVerified email at tuebingen.mpg.de
Armin KekićMax Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Andrea DittadiPostdoc, Helmholtz AIVerified email at tuebingen.mpg.de
Frederik TräubleMax Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Simion-Vlad BogolinInstitute of Mathematics of the Romanian AcademyVerified email at stud.acs.upb.ro
Shashank SinghMax Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Marin VlastelicaPhD Student in Machine Learning, Max Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Elena BurceanuBitdefenderVerified email at bitdefender.com
Emanuela HallerBitdefenderVerified email at bitdefender.com
Ştefan SmeuMsc Student, University of BucharestVerified email at s.unibuc.ro
Armand Mihai NicolicioiuETH ZürichVerified email at inf.ethz.ch
Bogdan AlexeFaculty of Matematics and Computer Science, University of BucharestVerified email at fmi.unibuc.ro
Damien TeneyIdiap Research InstituteVerified email at idiap.ch
Aaron CourvilleProfessor, DIRO, Université de Montréal, Mila, Cifar CAI chairVerified email at umontreal.ca
Dhanya SridharUniversity of Montreal, Mila-Quebec AI InstituteVerified email at mila.quebec

Andrei Liviu Nicolicioiu

Other namesAndrei Nicolicioiu, Andrei L. Nicolicioiu

Mila and University of Montreal

Verified email at mila.quebec - Homepage

Deep Learning Robustness Out-of-distribution generalisation Graph Neural Networks


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Recurrent Space-time Graph Neural Networks A Nicolicioiu, I Duta, M Leordeanu Advances in Neural Information Processing Systems, 12838-12850, 2019	42	2019
DCI-ES: An Extended Disentanglement Framework with Connections to Identifiability C Eastwood, AL Nicolicioiu, J von Kügelgen, A Kekić, F Träuble, A Dittadi, ... International Conference on Learning Representations (ICLR 2023), 2022	14*	2022
Discovering Dynamic Salient Regions with Spatio-Temporal Graph Neural Networks I Duta, A Nicolicioiu, M Leordeanu Advances in Neural Information Processing Systems 2021, 2020	12*	2020
Spuriosity Didn't Kill the Classifier: Using Invariant Predictions to Harness Spurious Features C Eastwood, S Singh, AL Nicolicioiu, M Vlastelica, J von Kügelgen, ... NeurIPS 2023, 2023	5	2023
Mining for meaning: from vision to language through multiple networks consensus I Duta, AL Nicolicioiu, SV Bogolin, M Leordeanu British Machine Vision Conference (BMVC 2018), 2018	5	2018
Env-Aware Anomaly Detection: Ignore Style Changes, Stay True to Content! S Smeu, E Burceanu, AL Nicolicioiu, E Haller arXiv preprint arXiv:2210.03103, 2022	3	2022
Learning Diverse Features in Vision Transformers for Improved Generalization AM Nicolicioiu, AL Nicolicioiu, B Alexe, D Teney ICML 2023 Workshop on Spurious Correlations, Invariance, and Stability (SCIS), 2023	2	2023
Do as your neighbors: Invariant learning through non-parametric neighbourhood matching AL Nicolicioiu, J Huang, D Sridhar, A Courville ICML 2023 Workshop on Spurious Correlations, Invariance, and Stability (SCIS), 2023		2023
Few shot learning by features adaptation with Graph Neural Networks AM Nicolicioiu, AL Nicolicioiu https://andreinicolicioiu.github.io/report/few_shot_graphs …, 2020		2020
Effective Receptive Field of Graph Neural Networks A Nicolicioiu, I Duta		2019

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