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ORCID2nd UniReps 2025: Vancouver, Canada
- Marco Fumero, Clémentine C. J. Dominé, Zorah Lähner, Donato Crisostomi, Luca Moschella, Kimberly Stachenfeld:
Proceedings of UniReps: the Second Edition of the Workshop on Unifying Representations in Neural Models, Vancouver, Canada, 14 December 2024. Proceedings of Machine Learning Research 285, PMLR 2025 - Clémentine C. J. Dominé, Marco Fumero, Zorah Lähner, Donato Crisostomi, Luca Moschella, Kimberly Stachenfeld:
Preface of UniReps: the Second Edition of the Workshop on Unifying Representations in Neural Models. 1-9 - Alex H. Williams:
Equivalence between representational similarity analysis, centered kernel alignment, and canonical correlations analysis. 10-23 - George A. Alvarez, Talia Konkle:
Decision-margin consistency: a principled metric for human and machine performance alignment. 24-39 - 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:
Investigating the role of modality and training objective on representational alignment between transformers and the brain. 40-54 - Andrea Protani, Lorenzo Giusti, Albert Sund Aillet, Simona Sacco, Paolo Manganotti, Lucio Marinelli, Diogo Reis Santos, Pierpaolo Brutti, Pietro Caliandro, Luigi Serio:
Federated GNNs for EEG-Based Stroke Assessment. 55-68 - Hannah Small, Haemy Lee Masson, Stewart Mostofsky, Leyla Isik:
Vision and language representations in multimodal AI models and human social brain regions during natural movie viewing. 69-84 - Jinyung Hong, Eun Som Jeon, Changhoon Kim, Keun Hee Park, Utkarsh Nath, Yezhou Yang, Pavan K. Turaga, Theodore P. Pavlic:
Debiasing Global Workspace: A Cognitive Neural Framework for Learning Debiased and Interpretable Representations. 85-99 - Matteo Alleman, Stefano Fusi:
Unsupervised Learning of Categorical Structure. 100-114 - Satyananda Kashyap, Niharika S. D'Souza, Luyao Shi, Ken C. L. Wong, Hongzhi Wang, Tanveer F. Syeda-Mahmood:
Modern Hopfield Networks meet Encoded Neural Representations - Addressing Practical Considerations. 115-127 - Maciej Zieba, Jakub Balicki, Tomasz Drózdz, Konrad Karanowski, Pawel Lorek, Hong Lyu, Aleksander Skorupa, Tomasz Trzcinski, Oriol Caudevilla, Jakub M. Tomczak:
Hypernetworks for image recontextualization. 128-139 - Sarah E. Harvey, David Lipshutz, Alex H. Williams:
What Representational Similarity Measures Imply about Decodable Information. 140-151 - Rouzbeh Meshkinnejad, Jie Mei, Zeduo Zhang, Daniel J. Lizotte, Yalda Mohsenzadeh:
Look-Ahead Selective Plasticity for Continual Learning of Visual Tasks. 152-169 - Qiang Li, Vince D. Calhoun:
Hybrid Dynamic High-Order Functional Correlations and Divisive Normalization for Improved Classification of Schizophrenia and Bipolar Disorder. 170-180 - Ella S. C. Orme, Marina Evangelou, Ulrich Paquet:
Correlating Variational Autoencoders Natively For Multi-View Imputation. 181-193 - Marco Rothermel, Sayed Soroush Daftarian, Tahmineh A. Koosha, Mohammad-Ali Nikouei Mahani, Hamidreza Jamalabadi:
On the cognitive alignment between humans and machines. 194-203 - Ali Akbari, Kosar Sanjar Arani, Tony Yousefnezhad, Maryam S. Mirian, Emad Arasteh:
Joint Learning for Visual Reconstruction from the Brain Activity: Hierarchical Representation of Image Perception with EEG-Vision Transformer. 204-218 - Alejandro García-Castellanos, Giovanni Luca Marchetti, Danica Kragic, Martina Scolamiero:
Relative Representations: Topological and Geometric Perspectives. 219-231 - Shiwen Zhang:
Fast Imagic: Solving Overfitting in Text-guided Image Editing via Disentangled UNet with Forgetting Mechanism and Unified Vision-Language Optimization. 232-243 - Neha Mukund Kalibhat, Warren Richard Morningstar, Alex Bijamov, Luyang Liu, Karan Singhal, Philip Andrew Mansfield:
Disentangling the Effects of Data Augmentation and Format Transform in Self-Supervised Learning of Image Representations. 244-256 - Vijay Prakash Dwivedi, Viktor Schlegel, Andy T. Liu, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Jeng Wei, Wei-Hsian Yin, Stefan Winkler, Robby T. Tan:
Representation Learning of Structured Data for Medical Foundation Models. 257-268 - Omkar Joglekar, Shir Kozlovsky, Dotan Di Castro:
Adapter to facilitate Foundation Model Communication for DLO Instance Segmentation. 269-281 - Hamed Karimi, Stefano Anzellotti:
Comparing Representations in Static and Dynamic Vision Models to the Human Brain. 282-295 - Changqing Fu, Laurent D. Cohen:
Conic Activation Functions. 296-309 - Nikolas McNeal, Mainak Deb, N. Apurva Ratan Murty:
Small-scale adversarial perturbations expose differences between predictive encoding models of human fMRI responses. 310-323 - Xingyu Zheng, Kyle Daruwalla, Ari S. Benjamin, David Klindt:
Delays in generalization match delayed changes in representational geometry. 324-334
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