Yani Andrew Ioannou

发表

Measuring Neural Net Robustness with Constraints

Antonio Criminisi, Leonidas Lampropoulos, Dimitrios Vytiniotis, 2016, NIPS.

Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups

Roberto Cipolla, Antonio Criminisi, Duncan P. Robertson, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Scientific Domain Knowledge Improves Exoplanet Transit Classification with Deep Learning

M. Sasdelli, Yani Andrew Ioannou, J. Jenkins, 2018, The Astrophysical Journal.

Investigation of Computer Vision Techniques for Object Classification on an Intelligent Wheelchair System for the Cognitively Impaired

A. Mihailidis, J. Boger, Yani Andrew Ioannou, 2013 .

Rapid classification of TESS planet candidates with convolutional neural networks

Daniel Angerhausen, Jon M. Jenkins, Michele Sasdelli, 2019, Astronomy & Astrophysics.

Automated Fall Detection Technology in Inpatient Geriatric Psychiatry: Nurses’ Perceptions and Lessons Learned

Marge M. Coahran, A. Mihailidis, Yani Andrew Ioannou, 2018, Canadian Journal on Aging / La Revue canadienne du vieillissement.

Segmentation of Brain Tumor Tissues with Convolutional Neural Networks

Antonio Criminisi, Matthew Brown, Darko Zikic, 2014 .

Bounding generalization error with input compression: An empirical study with infinite-width networks

Graham W. Taylor, Yani Andrew Ioannou, M. Nica, 2022, Trans. Mach. Learn. Res..

Monitoring Shortcut Learning using Mutual Information

Graham W. Taylor, H. Tizhoosh, Chuan-Yung Tsai, 2022, ArXiv.

NASA Frontier Development Lab Technical Memorandum Challenge Title: Rapid Classification of Exoplanet Transits with Deep Learning

M. Sasdelli, Yani Andrew Ioannou, D. Caldwell, 2021 .

Training Convolutional Neural Networks with Low-rank Filters for Efficient Image Classification

Roberto Cipolla, Antonio Criminisi, Jamie Shotton, 2016 .

Training CNNs with Low-Rank Filters for Efficient Image Classification pdf

Roberto Cipolla, Antonio Criminisi, Jamie Shotton, 2015, ICLR.

Structural priors in deep neural networks

Yani Ioannou, Yani Andrew Ioannou, 2018 .

Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win

Yann Dauphin, Cem Keskin, Yani Andrew Ioannou, 2020, AAAI.

Decision Forests, Convolutional Networks and the Models in-Between pdf

Peter Kontschieder, Antonio Criminisi, Jamie Shotton, 2016, ArXiv.

Dynamic Sparse Training with Structured Sparsity

Yani Andrew Ioannou, M. Nica, Utku Evci, 2023, ArXiv.

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

Babak Taati, Michael A. Greenspan, Yani Ioannou, 2012, 2012 Second International Conference on 3D Imaging, Modeling, Processing, Visualization & Transmission.

Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups

A. Criminisi, R. Cipolla, Yani Andrew Ioannou, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups

A. Criminisi, R. Cipolla, Yani Andrew Ioannou, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Dynamic Sparse Training with Structured Sparsity

Yani Andrew Ioannou, M. Nica, Utku Evci, 2023, ArXiv.

Training CNNs with Low-Rank Filters for Efficient Image Classification

Yani Ioannou, J. Shotton, A. Criminisi, 2015, International Conference on Learning Representations.