Ankit Vani

Cited by

	All	Since 2019
Citations	125	117
h-index	5	5
i10-index	5	5

20152016201720182019202020212022202320241 7 7 1 11 17 43 38

Co-authors

Aaron CourvilleProfessor, DIRO, Université de Montréal, Mila, Cifar CAI chairVerified email at umontreal.ca
Max SchwarzerOpenAIVerified email at openai.com
Eeshan Gunesh DhekaneResearcher Engineer at MLR, Apple (UK)Verified email at umontreal.ca
Hattie ZhouMila; Université de MontréalVerified email at mila.quebec
Hugo LarochelleGoogle DeepMind & MilaVerified email at google.com
Samuel LavoieMila, UdeMVerified email at mila.quebec
Lu YuchenMILA, University of MontrealVerified email at mila.quebec
Yacine JerniteResearch Scientist, HuggingFaceVerified email at cs.nyu.edu
Jose Gallego-PosadaMila - Université de MontréalVerified email at umontreal.ca
Christos TsirigotisPhD Student at Université de Montréal and Mila - Quebec AI InstituteVerified email at umontreal.ca
Simon Lacoste-JulienAssociate Professor - Canada CIFAR AI Chair, University of Montreal / MilaVerified email at iro.umontreal.ca
Ganesh RamakrishnanProfessor, Department of Computer Science and Engineering, Indian Institute of Technology BombayVerified email at cse.iitb.ac.in
Vighnesh BirodkarGoogleVerified email at google.com
David SontagProfessor, Massachusetts Institute of TechnologyVerified email at csail.mit.edu

Ankit Vani

PhD candidate, Mila, Université de Montréal

Verified email at umontreal.ca - Homepage

Machine Learning Neural Networks Artificial Intelligence


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Fortuitous Forgetting in Connectionist Networks H Zhou, A Vani, H Larochelle, A Courville International Conference on Learning Representations, 2021	34	2021
Iterated learning for emergent systematicity in VQA A Vani, M Schwarzer, Y Lu, E Dhekane, A Courville International Conference on Learning Representations, 2021	29	2021
Grounded Recurrent Neural Networks A Vani, Y Jernite, D Sontag arXiv preprint arXiv:1705.08557, 2017	25	2017
On the Compositional Generalization Gap of In-Context Learning A Hosseini, A Vani, D Bahdanau, A Sordoni, A Courville Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting …, 2022	18	2022
Simplicial Embeddings in Self-Supervised Learning and Downstream Classification S Lavoie, C Tsirigotis, M Schwarzer, A Vani, M Noukhovitch, K Kawaguchi, ... The Eleventh International Conference on Learning Representations, 2023	13	2023
GAIT: A Geometric Approach to Information Theory JG Posada, A Vani, M Schwarzer, S Lacoste-Julien International Conference on Artificial Intelligence and Statistics, 2601-2611, 2020	3*	2020
Adversarial Discrete Sequence Generation A Vani	1	2017
Challenges with Variational Autoencoders for Text A Vani, V Birodkar	1	2016
Categorising videos using a personalised category catalogue RB Bairi, A Vani, P Ahuja, G Ramakrishnan Proceedings of the 2nd ACM IKDD Conference on Data Sciences, 49-58, 2015	1	2015
Forget Sharpness: Perturbed Forgetting of Model Biases Within SAM Dynamics A Vani, F Tung, GL Oliveira, H Sharifi-Noghabi arXiv preprint arXiv:2406.06700, 2024		2024
SPARO: Selective Attention for Robust and Compositional Transformer Encodings for Vision A Vani, B Nguyen, S Lavoie, R Krishna, A Courville arXiv preprint arXiv:2404.15721, 2024		2024
Analysis of high dimensional distributions with decoupled norm and direction J Gallego, A Vani, M Schwarzer, S Lotfi		2019
Adversarial Objectives for Text Generation A Vani		2016
GAIT: A Geometric Approach to Information Theory= GAIT: Un Enfoque Geométrico a la Teoría de la Información J Gallego Posada, A Vani, M Schwarzer, S Lacoste Julien

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