A Walk with SGD. - Chen Xing; Devansh Arpit; Christos Tsirigotis; Yoshua Bengio (CoRR, 2018)

Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization. - Chin-Wei Huang; Ricky T. Q. Chen; Christos Tsirigotis; Aaron C. Courville (ICLR, 2021)

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

A General Framework For Proving The Equivariant Strong Lottery Ticket Hypothesis. - Damien Ferbach; Christos Tsirigotis; Gauthier Gidel; Avishek Joey Bose (ICLR, 2023)

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)

Group Robust Classification Without Any Group Information. - Christos Tsirigotis; João Monteiro 002; Pau Rodríguez; David Vázquez 001; Aaron C. Courville (NeurIPS, 2023)

FLAM: Frame-Wise Language-Audio Modeling. - Yusong Wu; Christos Tsirigotis; Ke Chen; Cheng-Zhi Anna Huang; Aaron C. Courville; Oriol Nieto; Prem Seetharaman; Justin Salamon (CoRR, 2025)

BiXSE: Improving Dense Retrieval via Probabilistic Graded Relevance Distillation. - Christos Tsirigotis; Vaibhav Adlakha; João Monteiro 002; Aaron C. Courville; Perouz Taslakian (CoRR, 2025)