Armand Mihai Nicolicioiu

20212022202320242 5 10 2

Damien TeneyIdiap Research InstituteVerified email at idiap.ch
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
Luca ScimecaPostdoctoral Research Fellow at Mila AI InstituteVerified email at mila.quebec
Andrei Liviu NicolicioiuMila and University of MontrealVerified email at mila.quebec
Bogdan AlexeFaculty of Matematics and Computer Science, University of BucharestVerified email at fmi.unibuc.ro
Seong Joon OhUniversity of TübingenVerified email at uni-tuebingen.de
Ehsan AbbasnejadAustralian Institute for Machine Learning, University of AdelaideVerified email at adelaide.edu.au
Valentin HartmannPhD student, EPFLVerified email at epfl.ch

Verified email at inf.ethz.ch - Homepage


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ICLR 2021 Challenge for Computational Geometry & Topology: Design and Results N Miolane, M Caorsi, U Lupo, M Guerard, N Guigui, J Mathe, Y Cabanes, ... arXiv preprint arXiv:2108.09810, 2021	16	2021
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
Leveraging Diffusion Disentangled Representations to Mitigate Shortcuts in Underspecified Visual Tasks L Scimeca, A Rubinstein, AM Nicolicioiu, D Teney, Y Bengio NeurIPS 2023 Workshop on Diffusion Models, 2023	1	2023
Neural Redshift: Random Networks are not Random Functions D Teney, A Nicolicioiu, V Hartmann, E Abbasnejad arXiv preprint arXiv:2403.02241, 2024		2024
Shortcut Bias Mitigation via Ensemble Diversity Using Diffusion Probabilistic Models L Scimeca, A Rubinstein, D Teney, SJ Oh, AM Nicolicioiu, Y Bengio arXiv preprint arXiv:2311.16176, 2023		2023
Few shot learning by features adaptation with Graph Neural Networks AM Nicolicioiu, AL Nicolicioiu Presented at Eastern European Machine Learning Summer School, 2020		2020

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