Reliable source transmission over relay networks with Side Information. - Milad Sefidgaran; Bahareh Akhbari; Yalda Mohsenzadeh; Mohammad Reza Aref (ISIT, 2009)

The Relevance Sample-Feature Machine: A Sparse Bayesian Learning Approach to Joint Feature-Sample Selection. - Yalda Mohsenzadeh; Hamid Sheikhzadeh; Ali M. Reza; Najmehsadat Bathaee; Mahdi M. Kalayeh (IEEE Trans. Cybern., 2013)

Gaussian Kernel Width Optimization for Sparse Bayesian Learning. - Yalda Mohsenzadeh; Hamid Sheikhzadeh (IEEE Trans. Neural Networks Learn. Syst., 2015)

Incremental relevance sample-feature machine: A fast marginal likelihood maximization approach for joint feature selection and classification. - Yalda Mohsenzadeh; Hamid Sheikhzadeh; Sobhan Nazari (Pattern Recognit., 2016)

Variational Relevant Sample-Feature Machine: A fully Bayesian approach for embedded feature selection. - Ali Mirzaei; Yalda Mohsenzadeh; Hamid Sheikhzadeh (Neurocomputing, 2017)

Decoding the orientation of contrast edges from MEG evoked and induced responses. - Dimitrios Pantazis; Mingtong Fang; Sheng Qin; Yalda Mohsenzadeh; Quanzheng Li; Radoslaw Martin Cichy (NeuroImage, 2018)

The Algonauts Project: A Platform for Communication between the Sciences of Biological and Artificial Intelligence. - Radoslaw Martin Cichy; Gemma Roig; Alex Andonian; Kshitij Dwivedi; Benjamin Lahner; Alex Lascelles; Yalda Mohsenzadeh; Kandan Ramakrishnan; Aude Oliva (CoRR, 2019)

Beyond core object recognition: Recurrent processes account for object recognition under occlusion. - Karim Rajaei; Yalda Mohsenzadeh; Reza Ebrahimpour; Seyed-Mahdi Khaligh-Razavi (PLoS Comput. Biol., 2019)

Inverse mapping of face GANs. - Nicky Bayat; Vahid Reza Khazaie; Yalda Mohsenzadeh (CoRR, 2020)

Latent Vector Recovery of Audio GANs. - Andrew Keyes; Nicky Bayat; Vahid Reza Khazaie; Yalda Mohsenzadeh (CoRR, 2020)

IPU-Net: Multi Scale Identity-Preserved U-Net for Low Resolution Face Recognition. - Vahid Reza Khazaie; Nicky Bayat; Yalda Mohsenzadeh (CoRR, 2020)

Low resolution face recognition using a two-branch deep convolutional neural network architecture. - Erfan Zangeneh; Mohammad Rahmati; Yalda Mohsenzadeh (Expert Syst. Appl., 2020)

Enhancing multivariate pattern analysis for magnetoencephalography through relevant sensor selection. - Elaheh Hatamimajoumerd; Alireza Talebpour; Yalda Mohsenzadeh (Int. J. Imaging Syst. Technol., 2020)

Latent Vector Recovery of Audio GANs with Application in Deepfake Audio Detection. - Nicky Bayat; Vahid Reza Khazaie; Andrew Keyes; Yalda Mohsenzadeh (Canadian AI, 2021)

CLAR: Contrastive Learning of Auditory Representations. - Haider Al-Tahan; Yalda Mohsenzadeh (AISTATS, 2021)

Fast Inverse Mapping of Face GANs. - Nicky Bayat; Vahid Reza Khazaie; Yalda Mohsenzadeh (ICASSP, 2021)

OLED: One-Class Learned Encoder-Decoder Network with Adversarial Context Masking for Novelty Detection. - John Taylor Jewell; Vahid Reza Khazaie; Yalda Mohsenzadeh (CoRR, 2021)

The Impact of Spatiotemporal Augmentations on Self-Supervised Audiovisual Representation Learning. - Haider Al-Tahan; Yalda Mohsenzadeh (CoRR, 2021)

Reconstructing feedback representations in the ventral visual pathway with a generative adversarial autoencoder. - Haider Al-Tahan; Yalda Mohsenzadeh (PLoS Comput. Biol., 2021)

Multi-Scale Identity-Preserving Image-to-Image Translation Network for Low-Resolution Face Recognition. - Vahid Reza Khazaie; Nicky Bayat; Yalda Mohsenzadeh (Canadian AI, 2022)

Anomaly Detection with Adversarially Learned Perturbations of Latent Space. - Vahid Reza Khazaie; Anthony Wong; John Taylor Jewell; Yalda Mohsenzadeh (CRV, 2022)

One-Class Learned Encoder-Decoder Network with Adversarial Context Masking for Novelty Detection. - John Taylor Jewell; Vahid Reza Khazaie; Yalda Mohsenzadeh (WACV, 2022)

Controlling Memorability of Face Images. - Mohammad Younesi; Yalda Mohsenzadeh (CoRR, 2022)

Augment to Detect Anomalies with Continuous Labelling. - Vahid Reza Khazaie; Anthony Wong; Yalda Mohsenzadeh (CoRR, 2022)

Look-Ahead Selective Plasticity for Continual Learning of Visual Tasks. - Rouzbeh Meshkinnejad; Jie Mei; Daniel J. Lizotte; Yalda Mohsenzadeh (CoRR, 2023)

Multi-modal News Understanding with Professionally Labelled Videos (ReutersViLNews). - Shih-Han Chou; Matthew Kowal; Yasmin Niknam; Diana Moyano; Shayaan Mehdi; Richard Pito; Cheng Zhang; Ian Knopke; Sedef Akinli Koçak; Leonid Sigal; Yalda Mohsenzadeh (CoRR, 2024)

Efficient Slice Anomaly Detection Network for 3D Brain MRI Volume. - Zeduo Zhang; Yalda Mohsenzadeh (CoRR, 2024)

Modeling Visual Memorability Assessment with Autoencoders Reveals Characteristics of Memorable Images. - Elham Bagheri; Yalda Mohsenzadeh (CoRR, 2024)

Unveiling the neural dynamics of conscious perception in rapid object recognition. - Saba Charmi Motlagh; Marc F. Joanisse; Boyu Wang 004; Yalda Mohsenzadeh (NeuroImage, 2024)

Multiview Contrastive Learning for Unsupervised Domain Adaptation in Brain-Computer Interfaces. - Sepehr Asgarian; Ze Wang 001; Feng Wan; Chi Man Wong; Feng Liu 011; Yalda Mohsenzadeh; Boyu Wang 004; Charles X. Ling (IEEE Trans. Instrum. Meas., 2024)

Investigating the role of modality and training objective on representational alignment between transformers and the brain. - Hyewon Willow Han; Ruchira Dhar; Qingqing Yang; Maryam Hoseini Behbahani; María Alejandra Martínez Ortiz; Tolulope Samuel Oladele; Diana C. Dima; Hsin-Hung Li; Anders Søgaard; Yalda Mohsenzadeh (UniReps, 2025)

Look-Ahead Selective Plasticity for Continual Learning of Visual Tasks. - Rouzbeh Meshkinnejad; Jie Mei; Zeduo Zhang; Daniel J. Lizotte; Yalda Mohsenzadeh (UniReps, 2025)

Improving the adaptive and continuous learning capabilities of artificial neural networks: Lessons from multi-neuromodulatory dynamics. - Jie Mei; Alejandro Rodriguez-Garcia; Daigo Takeuchi; Gabriel Wainstein; Nina Hubig; Yalda Mohsenzadeh; Srikanth Ramaswamy (CoRR, 2025)