Yani Ioannou

Dynamic Sparse Training with Structured Sparsity

M. Lasby, A. Golubeva, U. Evci, M. Nica, Y. Ioannou

International Conference on Learning Representations (ICLR) 2024, Vienna, Austria.
Slides, Poster BibTeX

Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win

*U. Evci, *Y. Ioannou, C. Keskin, Y. Dauphin
* Equal Contribution

Oral Presentation
36th AAAI Conference on Artificial Intelligence (AAAI) 2022, Vancouver, BC, Canada
Poster BibTex

Rapid Classification of TESS Planet Candidates with Convolutional Neural Networks

H. Osborn, M. Ansdell, Y. Ioannou, M. Sasdelli, et al.

Astronomy & Astrophysics
Volume 633, Number A53
January, 2020

Scientific Domain Knowledge Improves Exoplanet Transit Classification with Deep Learning

M. Ansdell , Y. Ioannou , H. P. Osborn , M. Sasdelli, et al.

The Astrophysical Journal Letters
Volume 869, Number 1
December 5, 2018

Structural Priors in Deep Neural Networks

Y. Ioannou

Ph.D. Thesis, Department of Engineering, University of Cambridge, Sept. 2017.
PDF (Print) BibTeX LaTeX Source

Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups

Y. Ioannou, D. Robertson, R. Cipolla, A. Criminisi

IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017, Honolulu, Hawaii.
BibTeX Poster

Training CNNs with Low-Rank Filters for Efficient Image Classification

Y. Ioannou, D. Robertson, J. Shotton, R. Cipolla, A. Criminisi

International Conference on Learning Representations (ICLR) 2016, San Juan, Puerto Rico.
BibTeX Poster Models

Decision Forests, Convolutional Networks and the Models in-Between

Y. Ioannou, D. Robertson, D. Zikic, P. Kontschieder, J. Shotton, M. Brown, A. Criminisi

Microsoft Research Tech Report
MSR-TR-2015-58, April, 2015.
BibTeX

Difference of Normals as a Multi-Scale Operator in Unorganized Point Clouds

Y. Ioannou, B. Taati, R. Harrap, M. Greenspan

3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT) 2012, Zürich, Switzerland. BibTeX Poster

Automatic Urban Modelling using Mobile Urban LIDAR Data

Y. Ioannou

Thesis (M.Sc. Computing), Queen's University, Canada, 2010.

Yani Ioannou

Yani Ioannou, PhD

Dept. of Electrical and Software Engineering
Schulich School of Engineering
University of Calgary

Selected Publications

Dynamic Sparse Training with Structured Sparsity

Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win

Rapid Classification of TESS Planet Candidates with Convolutional Neural Networks

Scientific Domain Knowledge Improves Exoplanet Transit Classification with Deep Learning

Structural Priors in Deep Neural Networks

Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups

Training CNNs with Low-Rank Filters for Efficient Image Classification

Decision Forests, Convolutional Networks and the Models in-Between

Difference of Normals as a Multi-Scale Operator in Unorganized Point Clouds

Automatic Urban Modelling using Mobile Urban LIDAR Data

Teaching

ENSF 444: Machine Learning

SENG 401: Software Architecture

ENSF 619 Special Topics: Learning Representations in Deep Neural Networks

Talks

Aligning Research in Sparsity with Hardware

Training Unstructured Sparse Neural Networks

Inductive Bias in Deep Learning

Curriculum Vitae/Resume

Academic C.V.

Contact Me