Categorising videos using a personalised category catalogue. - Ramakrishna B. Bairi; Ankit Vani; Pooja Ahuja; Ganesh Ramakrishnan (CODS, 2015)

Grounded Recurrent Neural Networks. - Ankit Vani; Yacine Jernite; David A. Sontag (CoRR, 2017)

GEAR: Geometry-Aware Rényi Information. - Jose Gallego-Posada; Ankit Vani; Max Schwarzer; Simon Lacoste-Julien (CoRR, 2019)

GAIT: A Geometric Approach to Information Theory. - Jose Gallego-Posada; Ankit Vani; Max Schwarzer; Simon Lacoste-Julien (AISTATS, 2020)

Iterated learning for emergent systematicity in VQA. - Ankit Vani; Max Schwarzer; Yuchen Lu; Eeshan Dhekane; Aaron C. Courville (ICLR, 2021)

On the Compositional Generalization Gap of In-Context Learning. - Arian Hosseini; Ankit Vani; Dzmitry Bahdanau; Alessandro Sordoni; Aaron C. Courville (BlackboxNLP@EMNLP, 2022)

Fortuitous Forgetting in Connectionist Networks. - Hattie Zhou; Ankit Vani; Hugo Larochelle; Aaron C. Courville (ICLR, 2022)

Simplicial Embeddings in Self-Supervised Learning and Downstream Classification. - Samuel Lavoie; Christos Tsirigotis; Max Schwarzer; Kenji Kawaguchi; Ankit Vani; Aaron C. Courville (CoRR, 2022)

Simplicial Embeddings in Self-Supervised Learning and Downstream Classification. - Samuel Lavoie; Christos Tsirigotis; Max Schwarzer; Ankit Vani; Michael Noukhovitch; Kenji Kawaguchi; Aaron C. Courville (ICLR, 2023)

SPARO: Selective Attention for Robust and Compositional Transformer Encodings for Vision. - Ankit Vani; Bac Nguyen; Samuel Lavoie; Ranjay Krishna; Aaron C. Courville (ECCV (66), 2024)

Forget Sharpness: Perturbed Forgetting of Model Biases Within SAM Dynamics. - Ankit Vani; Frederick Tung; Gabriel L. Oliveira; Hossein Sharifi-Noghabi (ICML, 2024)