Research

Bi-orthogonal Factor Decomposition for Vision Transformers
Fenil R. Doshi, Thomas Fel, Talia Konkle, George A. Alvarez
preprint
[Paper] [Project Page] [Twitter]

From Local to Contextually-Enriched Local Representations: A Mechanism for Holistic Processing in DINOv2 ViTs
Fenil R. Doshi, Thomas Fel, Talia Konkle, George A. Alvarez
Mechanistic Interpretability Workshop at NeurIPS 2025
[Paper]

Visual Anagrams Reveal Hidden Differences in Holistic Shape Processing Across Vision Models
Fenil R. Doshi, Thomas Fel, Talia Konkle, George A. Alvarez
NeurIPS 2025
[Paper] [Project Page] [Poster] [Twitter]

Disentangling Local and Global Processing in Deep Neural Networks
Fenil R. Doshi, Thomas Fel, Talia Konkle, George A. Alvarez
Journal of Vision, 2025
[Paper] [Poster]

Configural-Shape Representation in Deep Neural Networks
Fenil R. Doshi, Talia Konkle, George A. Alvarez
Cognitive Computational Neuroscience (CCN), 2024
[Paper] [Poster]

Cortical topographic motifs emerge in a self-organized map of object space
Fenil R. Doshi, Talia Konkle
Science Advances 2023
[Paper] [Twitter] [Talk-VSS 21]

Face-deprived networks show distributed but not clustered face-selective maps
Fenil R. Doshi, Talia Konkle
Journal of Vision, 2023
[Paper] [Poster]

A feedforward mechanism for human-like contour integration
Fenil R. Doshi, Talia Konkle, George A. Alvarez
PLOS Computational Biology, 2025
[Paper] [Twitter] [Talk-VSS 22]

Feedforward Neural Networks can capture Human-like Perceptual and Behavioral Signatures of Contour Integration
Fenil R. Doshi, Talia Konkle, George A. Alvarez
Cognitive Computational Neuroscience (CCN), 2023
[Paper] [Poster]

Shared Representations of Stability in Humans, Supervised, & Unsupervised Neural Networks
Colin Conwell, Fenil Doshi, George A. Alvarez
SVRHM Workshop at NeurIPS 2019
[Paper]

Human-Like Judgments of Stability Emerge from Purely Perceptual Features: Evidence from Supervised and Unsupervised Deep Neural Networks
Colin Conwell, Fenil Doshi, George A. Alvarez
Cognitive Computational Neuroscience (CCN), 2019
[Paper]

Using Deep Convolutional Neural Networks to Examine the Role of Representational Similarity in Visual Working Memory
Fenil Doshi, Hrag Pailian, George A. Alvarez
Journal of Vision, 2020
[Paper] [Poster] [Co-author Talk]

Adaptive adversarial neural networks for the analysis of lossy and domain-shifted datasets of medical images
M. Kanakasabapathy, P. Thirumalaraju, H. Kandula, F. Doshi, A. Sivakumar, D. Kartik, R. Gupta, R. Pooniwala, J. Branda, A. Tsibris, D. Kuritzkes, J. Petrozza, C. Bormann, H. Shafiee
Nature Biomedical Engineering, 2021
[Paper] [Fertstert Abstract]

Machine learning predictions of irradiation embrittlement in reactor pressure vessel steels
Yc. Liu, H. Wu, T. Mayeshiba, ..Fenil Doshi, ..et al.
NPJ Computational Materials, 2022
[Paper]