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Editors: Marco Fumero, Emanuele Rodolá, Clementine Domine, Francesco Locatello, Karolina Dziugaite, Caron Mathilde
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Preface of UniReps: the First Workshop on Unifying Representations in Neural Models
Marco Fumero, Emanuele Rodolá, Clementine Domine, Francesco Locatello, Karolina Dziugaite, Caron Mathilde; Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, PMLR 243:1-10
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Duality of Bures and Shape Distances with Implications for Comparing Neural Representations
; Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, PMLR 243:11-26
WavSpA: Wavelet Space Attention for Boosting Transformers’ Long Sequence Learning Ability
Yufan Zhuang, Zihan Wang, Fangbo Tao, Jingbo Shang; Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, PMLR 243:27-46
NEUCORE: Neural Concept Reasoning for Composed Image Retrieval
Shu Zhao, Huijuan Xu; Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, PMLR 243:47-59
What Mechanisms Does Knowledge Distillation Distill?
Cindy Wu, Ekdeep Singh Lubana, Bruno Kacper Mlodozeniec, Robert Kirk, David Krueger; Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, PMLR 243:60-75
ReWaRD: Retinal Waves for Pre-Training Artificial Neural Networks Mimicking Real Prenatal Development
Benjamin Cappell, Andreas Stoll, Chukwudi Williams Umah, Bernhard Egger; Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, PMLR 243:76-86
Multimodal decoding of human brain activity into images and text
Matteo Ferrante, Tommaso Boccato, Furkan Ozcelik, Rufin VanRullen, Nicola Toschi; Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, PMLR 243:87-101
On Transferring Expert Knowledge from Tabular Data to Images
Jun-Peng Jiang, Han-Jia Ye, Leye Wang, Yang Yang, Yuan Jiang, De-Chuan Zhan; Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, PMLR 243:102-115
MeSa: Masked, Geometric, and Supervised Pre-training for Monocular Depth Estimation
Muhammad Osama Khan, Junbang Liang, Chun-Kai Wang, Shan Yang, Yu Lou; Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, PMLR 243:116-132
Linearly Structured World Representations in Maze-Solving Transformers
Michael Ivanitskiy, Alexander F. Spies, Tilman Räuker, Guillaume Corlouer, Christopher Mathwin, Lucia Quirke, Can Rager, Rusheb Shah, Dan Valentine, Cecilia Diniz Behn, Katsumi Inoue, Samy Wu Fung; Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, PMLR 243:133-143
A General Method for Testing Bayesian Models using Neural Data
Gabor Lengyel, Sabyasachi Shivkumar, Ralf M Haefner; Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, PMLR 243:144-157
On the Direct Alignment of Latent Spaces
Zorah Lähner, Michael Moeller; Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, PMLR 243:158-169
Comparing neural models using their perceptual discriminability predictions
Jingyang Zhou, Chanwoo Chun, Ajay Subramanian, Eero P Simoncelli; Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, PMLR 243:170-181
Semi-Ensemble: A Simple Approach Over-parameterize Model Interpolation
Jiwoon Lee, Jaeho Lee; Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, PMLR 243:182-193
Unsupervised learning on spontaneous retinal activity leads to efficient neural representation geometry
Andrew Ligeralde, Yilun Kuang, Thomas Edward Yerxa, Miah N Pitcher, Marla Feller, SueYeon Chung; Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, PMLR 243:194-208
Bio-inspired parameter reuse: Exploiting inter-frame representation similarity with recurrence for accelerating temporal visual processing
Zuowen Wang, Longbiao Cheng, Joachim Ott, Pehuen Moure, Shih-Chii Liu; Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, PMLR 243:209-222
DisCoV: Disentangling Time Series Representations via Contrastive based $l$-Variational Inference
Khalid Oublal, Said Ladjal, David Benhaiem, Emmanuel Le-borgne, François Roueff; Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, PMLR 243:223-236
NoPose-NeuS: Jointly Optimizing Camera Poses with Neural Implicit Surfaces for Multi-view Reconstruction
Mohamed Shawky Sabae, Hoda A. Baraka, Mayada Hadhoud; Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, PMLR 243:237-248
Object-Centric Semantic Vector Quantization
Yi-Fu Wu, Minseung Lee, Sungjin Ahn; Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, PMLR 243:249-266
Supervising Variational Autoencoder Latent Representations with Language
Thomas Lu, Aboli Marathe, Ada Martin; Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, PMLR 243:267-278
Visual Expertise Explains Image Inversion Effects
Martha Gahl, Shubham Kulkarni, Nikhil Pathak, Alex Russell, Garrison W. Cottrell; Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, PMLR 243:279-290
Role Taxonomy of Units in Deep Neural Networks
Yang Zhao, Hao Zhang, Xiuyuan Hu; Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, PMLR 243:291-301
A sparse null code emerges in deep neural networks
Brian S Robinson, Nathan Drenkow, Colin Conwell, Michael Bonner; Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, PMLR 243:302-314
Randomly Weighted Neuromodulation in Neural Networks Facilitates Learning of Manifolds Common Across Tasks
Jinyung Hong, Theodore P. Pavlic; Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, PMLR 243:315-325
Soft Matching Distance: A metric on neural representations that captures single-neuron tuning
Meenakshi Khosla, Alex H Williams; Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, PMLR 243:326-341
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