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Proceedings of Machine Learning Research

Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research
Proceedings of Machine Learning Research
PMLR · 2026-05-29 · via Proceedings of Machine Learning Research

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Volume 285: Proceedings of UniReps: the Second Edition of the Workshop on Unifying Representations in Neural Models, 14 December 2024, Vancouver Convention Center,Vancouver, Canada

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Editors: Marco Fumero, Clementine Domine, Zorah Lähner, Donato Crisostomi, Luca Moschella, Kimberly Stachenfeld

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Preface of UniReps: the Second Edition of the Workshop on Unifying Representations in Neural Models

Clementine Domine, Marco Fumero, Zorah Lähner, Donato Crisostomi, Luca Moschella, Kimberly Stachenfeld; Proceedings of UniReps: the Second Edition of the Workshop on Unifying Representations in Neural Models, PMLR 285:1-9

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Equivalence between representational similarity analysis, centered kernel alignment, and canonical correlations analysis

; Proceedings of UniReps: the Second Edition of the Workshop on Unifying Representations in Neural Models, PMLR 285:10-23

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Decision-margin consistency: a principled metric for human and machine performance alignment

George A. Alvarez, Talia Konkle; Proceedings of UniReps: the Second Edition of the Workshop on Unifying Representations in Neural Models, PMLR 285:24-39

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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; Proceedings of UniReps: the Second Edition of the Workshop on Unifying Representations in Neural Models, PMLR 285:40-54

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Federated GNNs for EEG-Based Stroke Assessment

Andrea Protani, Lorenzo Giusti, Albert Sund Aillet, Simona Sacco, Paolo Manganotti, Lucio Marinelli, Diogo Reis Santos, Pierpaolo Brutti, Pietro Caliandro, Luigi Serio; Proceedings of UniReps: the Second Edition of the Workshop on Unifying Representations in Neural Models, PMLR 285:55-68

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Vision and language representations in multimodal AI models and human social brain regions during natural movie viewing

Hannah Small, Haemy Lee Masson, Stewart Mostofsky, Leyla Isik; Proceedings of UniReps: the Second Edition of the Workshop on Unifying Representations in Neural Models, PMLR 285:69-84

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Debiasing Global Workspace: A Cognitive Neural Framework for Learning Debiased and Interpretable Representations

Jinyung Hong, Eun Som Jeon, Changhoon Kim, Keun Hee Park, Utkarsh Nath, Yezhou Yang, Pavan K. Turaga, Theodore P. Pavlic; Proceedings of UniReps: the Second Edition of the Workshop on Unifying Representations in Neural Models, PMLR 285:85-99

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Unsupervised Learning of Categorical Structure

Matteo Alleman, Stefano Fusi; Proceedings of UniReps: the Second Edition of the Workshop on Unifying Representations in Neural Models, PMLR 285:100-114

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Modern Hopfield Networks meet Encoded Neural Representations - Addressing Practical Considerations

Satyananda Kashyap, Niharika S. D’Souza, Luyao Shi, Ken C. L. Wong, Hongzhi Wang, Tanveer Syeda-mahmood; Proceedings of UniReps: the Second Edition of the Workshop on Unifying Representations in Neural Models, PMLR 285:115-127

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Hypernetworks for image recontextualization

Maciej Zieba, Jakub Balicki, Tomasz Drozdz, Konrad Karanowski, Pawel Lorek, Hong Lyu, Aleksander Piotr Skorupa, Tomasz Trzcinski, Oriol Caudevilla, Jakub M. Tomczak; Proceedings of UniReps: the Second Edition of the Workshop on Unifying Representations in Neural Models, PMLR 285:128-139

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What Representational Similarity Measures Imply about Decodable Information

Sarah E Harvey, David Lipshutz, Alex H Williams; Proceedings of UniReps: the Second Edition of the Workshop on Unifying Representations in Neural Models, PMLR 285:140-151

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Look-Ahead Selective Plasticity for Continual Learning of Visual Tasks

Rouzbeh Meshkinnejad, Jie Mei, Zeduo Zhang, Daniel J Lizotte, Yalda Mohsenzadeh; Proceedings of UniReps: the Second Edition of the Workshop on Unifying Representations in Neural Models, PMLR 285:152-169

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Hybrid Dynamic High-Order Functional Correlations and Divisive Normalization for Improved Classification of Schizophrenia and Bipolar Disorder

Qiang Li, Vince Calhoun; Proceedings of UniReps: the Second Edition of the Workshop on Unifying Representations in Neural Models, PMLR 285:170-180

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Correlating Variational Autoencoders Natively For Multi-View Imputation

Ella S C Orme, Marina Evangelou, Ulrich Paquet; Proceedings of UniReps: the Second Edition of the Workshop on Unifying Representations in Neural Models, PMLR 285:181-193

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On the cognitive alignment between humans and machines

Marco Rothermel, Sayed Soroush Daftarian, Tahmineh A. Koosha, Mohammad-Ali Nikouei Mahani, Hamidreza Jamalabadi; Proceedings of UniReps: the Second Edition of the Workshop on Unifying Representations in Neural Models, PMLR 285:194-203

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Joint Learning for Visual Reconstruction from the Brain Activity: Hierarchical Representation of Image Perception with EEG-Vision Transformer

Ali Akbari, Kosar Sanjar Arani, Tony Yousefnezhad, Maryam Mirian, Emad Arasteh; Proceedings of UniReps: the Second Edition of the Workshop on Unifying Representations in Neural Models, PMLR 285:204-218

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Relative Representations: Topological and Geometric Perspectives

Alejandro García-Castellanos, Giovanni Luca Marchetti, Danica Kragic, Martina Scolamiero; Proceedings of UniReps: the Second Edition of the Workshop on Unifying Representations in Neural Models, PMLR 285:219-231

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Fast Imagic: Solving Overfitting in Text-guided Image Editing via Disentangled UNet with Forgetting Mechanism and Unified Vision-Language Optimization

Shiwen Zhang; Proceedings of UniReps: the Second Edition of the Workshop on Unifying Representations in Neural Models, PMLR 285:232-243

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Disentangling the Effects of Data Augmentation and Format Transform in Self-Supervised Learning of Image Representations

Neha Kalibhat, Warren Richard Morningstar, Alex Bijamov, Luyang Liu, Karan Singhal, Philip Andrew Mansfield; Proceedings of UniReps: the Second Edition of the Workshop on Unifying Representations in Neural Models, PMLR 285:244-256

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Representation Learning of Structured Data for Medical Foundation Models

Vijay Prakash Dwivedi, Viktor Schlegel, Andy T. Liu, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Jeng Wei, Wei-Hsian Yin, Stefan Winkler, Robby T. Tan; Proceedings of UniReps: the Second Edition of the Workshop on Unifying Representations in Neural Models, PMLR 285:257-268

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Adapter to facilitate Foundation Model Communication for DLO Instance Segmentation

Omkar Joglekar, Shir Kozlovsky, Dotan Di Castro; Proceedings of UniReps: the Second Edition of the Workshop on Unifying Representations in Neural Models, PMLR 285:269-281

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Comparing Representations in Static and Dynamic Vision Models to the Human Brain

Hamed Karimi, Stefano Anzellotti; Proceedings of UniReps: the Second Edition of the Workshop on Unifying Representations in Neural Models, PMLR 285:282-295

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Conic Activation Functions

Changqing Fu, Laurent D. Cohen; Proceedings of UniReps: the Second Edition of the Workshop on Unifying Representations in Neural Models, PMLR 285:296-309

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Small-scale adversarial perturbations expose differences between predictive encoding models of human fMRI responses

Nikolas McNeal, Mainak Deb, Apurva Ratan Murty; Proceedings of UniReps: the Second Edition of the Workshop on Unifying Representations in Neural Models, PMLR 285:310-323

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Delays in generalization match delayed changes in representational geometry

Xingyu Zheng, Kyle Daruwalla, Ari S Benjamin, David Klindt; Proceedings of UniReps: the Second Edition of the Workshop on Unifying Representations in Neural Models, PMLR 285:324-334

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