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ORCIDYani Ioannou
Person information
- affiliation: University of Calgary, Department of Electrical and Software Engineering, AB, Canada
- affiliation: Google, Toronto, ON, Canada
- affiliation: University of Toronto, Toronto Rehabilitation Institute, Ontario, Canada
- affiliation (PhD 2018): University of Cambridge, Machine Intelligence Lab, UK
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2020 – today
- 2026
[j5]Cem Üyük, Mike Lasby, Mohamed Yassin, Utku Evci, Yani Ioannou:
Learning Fine-grained Parameter Sharing via Sparse Tensor Decomposition. Trans. Mach. Learn. Res. 2026 (2026)- [c13]Sindhuja Chaduvula, Ahmed Y. Radwan, Azib Farooq, Yani Ioannou, Shaina Raza:
Reducing Hallucinations in LLMs via Factuality-Aware Preference Learning. ACL (Findings) 2026: 39488-39504 - [c12]Mike Lasby, Ivan Lazarevich, Nish Sinnadurai, Sean Lie, Yani Ioannou, Vithursan Thangarasa:
REAP the Experts: Why Pruning Prevails for One-Shot MoE compression. ICLR 2026 - [i20]Sindhuja Chaduvula, Ahmed Y. Radwan, Azib Farooq, Yani Ioannou
, Shaina Raza:
Reducing Hallucinations in LLMs via Factuality-Aware Preference Learning. CoRR abs/2601.03027 (2026) - [i19]Mohammed Adnan, Rohan Jain, Tom Jacobs, Ekansh Sharma, Rahul G. Krishnan, Rebekka Burkholz, Yani Ioannou:
SparseOpt: Addressing Normalization-induced Gradient Skew in Sparse Training. CoRR abs/2605.27541 (2026) - [i18]Ahmed El Kady, Aravind Narayanan, Rehana Noorani, Yani Ioannou, Shaina Raza:
Stress-Testing Efficient Responsible-AI Evaluation: When Compute Savings Change Benchmark Conclusions. CoRR abs/2608.31108 (2026) - 2025
- [j4]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, Yani Ioannou, Catherine Lebel, John Lysack, Leslie Salgado Arzuaga, Emma A. M. Stanley, Roberto Souza, Ronnie de Souza Santos, Lana Wells, Tyler Williamson, Matthias Wilms, Mark Ungrin, Marina L. Gavrilova, Mariana P. Bento:
Trustworthy and Responsible AI for Human-Centric Autonomous Decision-Making Systems. Trans. Mach. Learn. Res. 2025 (2025) - [j3]Aida Mohammadshahi, Yani Ioannou:
What's Left After Distillation? How Knowledge Transfer Impacts Fairness and Bias. Trans. Mach. Learn. Res. 2025 (2025) - [c11]Mohammed Adnan, Rohan Jain, Ekansh Sharma, Rahul Krishnan, Yani Ioannou:
Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry. ICML 2025 - [i17]Mohammed Adnan, Rohan Jain, Ekansh Sharma, Rahul Krishnan, Yani Ioannou:
Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry. CoRR abs/2505.05143 (2025) - [i16]Mike Lasby, Ivan Lazarevich, Nish Sinnadurai, Sean Lie, Yani Ioannou, Vithursan Thangarasa:
REAP the Experts: Why Pruning Prevails for One-Shot MoE compression. CoRR abs/2510.13999 (2025) - 2024
- [j2]Hossein KhademSohi, Mohammadamin Abedi, Yani Ioannou, Steve Drew, Pooyan Jamshidi, Hadi Hemmati:
SelfXit: An Unsupervised Early Exit Mechanism for Deep Neural Networks. Trans. Mach. Learn. Res. 2024 (2024) - [c10]Mike Lasby, Anna Golubeva, Utku Evci, Mihai Nica, Yani Ioannou:
Dynamic Sparse Training with Structured Sparsity. ICLR 2024 - [c9]Nasibullah Nasibullah, Erik Schultheis, Mike Lasby, Yani Ioannou, Rohit Babbar:
Navigating Extremes: Dynamic Sparsity in Large Output Spaces. NeurIPS 2024 - [i15]Mahdi Mohammadizadeh, Arash Mozhdehi, Yani Ioannou, Xin Wang:
Meta-GCN: A Dynamically Weighted Loss Minimization Method for Dealing with the Data Imbalance in Graph Neural Networks. CoRR abs/2406.17073 (2024) - [i14]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, Yani Ioannou, Catherine Lebel, John Lysack, Leslie Salgado Arzuaga, Emma A. M. Stanley, Roberto Souza, Ronnie de Souza Santos, Lana Wells, Tyler Williamson, Matthias Wilms, Zaman Wahid, Mark Ungrin, Marina L. Gavrilova, Mariana P. Bento:
Trustworthy and Responsible AI for Human-Centric Autonomous Decision-Making Systems. CoRR abs/2408.15550 (2024) - [i13]Aida Mohammadshahi, Yani Ioannou:
What is Left After Distillation? How Knowledge Transfer Impacts Fairness and Bias. CoRR abs/2410.08407 (2024) - [i12]Nasib Ullah, Erik Schultheis, Mike Lasby, Yani Ioannou, Rohit Babbar:
Navigating Extremes: Dynamic Sparsity in Large Output Space. CoRR abs/2411.03171 (2024) - [i11]Cem Üyük, Mike Lasby, Mohamed Yassin, Utku Evci, Yani Ioannou:
Learning Parameter Sharing with Tensor Decompositions and Sparsity. CoRR abs/2411.09816 (2024) - 2023
- [j1]Angus Galloway, Anna Golubeva, Mahmoud Salem, Mihai Nica, Yani A. Ioannou, Graham W. Taylor:
Bounding generalization error with input compression: An empirical study with infinite-width networks. Trans. Mach. Learn. Res. 2023 (2023) - [c8]Mahdi Mohammadizadeh, Arash Mozhdehi, Yani Ioannou, Xin Wang:
Meta-GCN: A Dynamically Weighted Loss Minimization Method for Dealing with the Data Imbalance in Graph Neural Networks. Canadian AI 2023 - [i10]Mike Lasby, Anna Golubeva, Utku Evci, Mihai Nica, Yani A. Ioannou:
Dynamic Sparse Training with Structured Sparsity. CoRR abs/2305.02299 (2023) - 2022
- [c7]Utku Evci, Yani Ioannou, Cem Keskin, Yann N. Dauphin:
Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win. AAAI 2022: 6577-6586 - [i9]Mohammed Adnan, Yani A. Ioannou, Chuan-Yung Tsai, Angus Galloway, Hamid R. Tizhoosh, Graham W. Taylor:
Monitoring Shortcut Learning using Mutual Information. CoRR abs/2206.13034 (2022) - [i8]Angus Galloway, Anna Golubeva, Mahmoud Salem, Mihai Nica, Yani A. Ioannou, Graham W. Taylor:
Bounding generalization error with input compression: An empirical study with infinite-width networks. CoRR abs/2207.09408 (2022) - 2021
- [i7]Mohammed Adnan, Yani A. Ioannou, Chuan-Yung Tsai, Graham W. Taylor:
Domain-Agnostic Clustering with Self-Distillation. CoRR abs/2111.12170 (2021) - 2020
- [i6]Utku Evci, Yani Andrew Ioannou, Cem Keskin, Yann N. Dauphin:
Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win. CoRR abs/2010.03533 (2020)
2010 – 2019
- 2018
- [b1]Yani Andrew Ioannou:
Structural priors in deep neural networks. University of Cambridge, UK, 2018 - 2017
- [c6]Yani Ioannou, Duncan P. Robertson, Roberto Cipolla, Antonio Criminisi:
Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups. CVPR 2017: 5977-5986 - 2016
- [c5]Sukrit Shankar, Duncan P. Robertson, Yani Ioannou, Antonio Criminisi, Roberto Cipolla:
Refining Architectures of Deep Convolutional Neural Networks. CVPR 2016: 2212-2220 - [c4]Osbert Bastani, Yani Ioannou, Leonidas Lampropoulos, Dimitrios Vytiniotis, Aditya V. Nori, Antonio Criminisi:
Measuring Neural Net Robustness with Constraints. NIPS 2016: 2613-2621 - [c3]Yani Ioannou, Duncan P. Robertson, Jamie Shotton, Roberto Cipolla, Antonio Criminisi:
Training CNNs with Low-Rank Filters for Efficient Image Classification. ICLR (Poster) 2016 - [i5]Yani Ioannou, Duncan P. Robertson, Darko Zikic, Peter Kontschieder, Jamie Shotton, Matthew Brown, Antonio Criminisi:
Decision Forests, Convolutional Networks and the Models in-Between. CoRR abs/1603.01250 (2016) - [i4]Sukrit Shankar, Duncan P. Robertson, Yani Ioannou, Antonio Criminisi, Roberto Cipolla:
Refining Architectures of Deep Convolutional Neural Networks. CoRR abs/1604.06832 (2016) - [i3]Yani Ioannou, Duncan P. Robertson, Roberto Cipolla, Antonio Criminisi:
Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups. CoRR abs/1605.06489 (2016) - [i2]Osbert Bastani, Yani Ioannou, Leonidas Lampropoulos, Dimitrios Vytiniotis, Aditya V. Nori, Antonio Criminisi:
Measuring Neural Net Robustness with Constraints. CoRR abs/1605.07262 (2016) - 2012
- [c2]Yani Ioannou, Babak Taati, Robin Harrap, Michael A. Greenspan:
Difference of Normals as a Multi-scale Operator in Unorganized Point Clouds. 3DIMPVT 2012: 501-508 - [i1]Yani Ioannou, Babak Taati, Robin Harrap, Michael A. Greenspan:
Difference of Normals as a Multi-Scale Operator in Unorganized Point Clouds. CoRR abs/1209.1759 (2012)
2000 – 2009
- 2009
- [c1]Yani Ioannou, Limin Shang, Robin Harrap, Michael A. Greenspan:
Local PotentialWell Space Embedding. ICCV Workshops 2009: 1726-1732
Coauthor Index
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