Local PotentialWell Space Embedding. - Yani Ioannou; Limin Shang; Robin Harrap; Michael A. Greenspan (ICCV Workshops, 2009)

Difference of Normals as a Multi-scale Operator in Unorganized Point Clouds. - Yani Ioannou; Babak Taati; Robin Harrap; Michael A. Greenspan (3DIMPVT, 2012)

Refining Architectures of Deep Convolutional Neural Networks. - Sukrit Shankar; Duncan P. Robertson; Yani Ioannou; Antonio Criminisi; Roberto Cipolla (CVPR, 2016)

Measuring Neural Net Robustness with Constraints. - Osbert Bastani; Yani Ioannou; Leonidas Lampropoulos; Dimitrios Vytiniotis; Aditya V. Nori; Antonio Criminisi (NIPS, 2016)

Training CNNs with Low-Rank Filters for Efficient Image Classification. - Yani Ioannou; Duncan P. Robertson; Jamie Shotton; Roberto Cipolla; Antonio Criminisi (ICLR (Poster), 2016)

Decision Forests, Convolutional Networks and the Models in-Between. - Yani Ioannou; Duncan P. Robertson; Darko Zikic; Peter Kontschieder; Jamie Shotton; Matthew Brown 001; Antonio Criminisi (CoRR, 2016)

Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups. - Yani Ioannou; Duncan P. Robertson; Roberto Cipolla; Antonio Criminisi (CVPR, 2017)

Structural priors in deep neural networks. - Yani Andrew Ioannou (2018)

Domain-Agnostic Clustering with Self-Distillation. - Mohammed Adnan; Yani A. Ioannou; Chuan-Yung Tsai; Graham W. Taylor (CoRR, 2021)

Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win. - Utku Evci; Yani Ioannou; Cem Keskin; Yann N. Dauphin (AAAI, 2022)

Monitoring Shortcut Learning using Mutual Information. - Mohammed Adnan; Yani A. Ioannou; Chuan-Yung Tsai; Angus Galloway; Hamid R. Tizhoosh; Graham W. Taylor (CoRR, 2022)

Meta-GCN: A Dynamically Weighted Loss Minimization Method for Dealing with the Data Imbalance in Graph Neural Networks. - Mahdi Mohammadizadeh; Arash Mozhdehi; Yani Ioannou; Xin Wang 004 (Canadian AI, 2023)

Bounding generalization error with input compression: An empirical study with infinite-width networks. - Angus Galloway; Anna Golubeva; Mahmoud Salem; Mihai Nica; Yani A. Ioannou; Graham W. Taylor (Trans. Mach. Learn. Res., 2023)

Dynamic Sparse Training with Structured Sparsity. - Mike Lasby; Anna Golubeva; Utku Evci; Mihai Nica; Yani Ioannou (ICLR, 2024)

Navigating Extremes: Dynamic Sparsity in Large Output Spaces. - Nasibullah Nasibullah; Erik Schultheis; Mike Lasby; Yani Ioannou; Rohit Babbar (NeurIPS, 2024)

Trustworthy and Responsible AI for Human-Centric Autonomous Decision-Making Systems. - Farzaneh Dehghani; Mahsa Dibaji; Fahim Anzum; Lily Dey; Alican Basdemir; Sayeh Bayat; Jean-Christophe Boucher; Steve Drew; Sarah Elaine Eaton; Richard Frayne; Gouri Ginde; Ashley D. Harris; et al. (CoRR, 2024)

What is Left After Distillation? How Knowledge Transfer Impacts Fairness and Bias. - Aida Mohammadshahi; Yani Ioannou (CoRR, 2024)

Navigating Extremes: Dynamic Sparsity in Large Output Space. - Nasib Ullah; Erik Schultheis; Mike Lasby; Yani Ioannou; Rohit Babbar (CoRR, 2024)

Learning Parameter Sharing with Tensor Decompositions and Sparsity. - Cem Üyük; Mike Lasby; Mohamed Yassin; Utku Evci; Yani Ioannou (CoRR, 2024)

SelfXit: An Unsupervised Early Exit Mechanism for Deep Neural Networks. - Hossein KhademSohi; Mohammadamin Abedi; Yani Ioannou; Steve Drew; Pooyan Jamshidi; Hadi Hemmati (Trans. Mach. Learn. Res., 2024)

Trustworthy and Responsible AI for Human-Centric Autonomous Decision-Making Systems. - Farzaneh Dehghani; Mahsa Dibaji; Fahim Anzum; Lily Dey; Alican Basdemir; Sayeh Bayat; Jean-Christophe Boucher; Steve Drew; Sarah Elaine Eaton; Richard Frayne; Gouri Ginde; Ashley D. Harris; et al. (Trans. Mach. Learn. Res., 2025)

What's Left After Distillation? How Knowledge Transfer Impacts Fairness and Bias. - Aida Mohammadshahi; Yani Ioannou (Trans. Mach. Learn. Res., 2025)

Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry. - Mohammed Adnan; Rohan Jain; Ekansh Sharma; Rahul Krishnan; Yani Ioannou (CoRR, 2025)