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Volume 243: Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, 15 December 2023, Ernest N. Morial Convention Center, New Orleans, USA

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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

Duality of Bures and Shape Distances with Implications for Comparing Neural Representations

Sarah E. Harvey, Brett W. Larsen, Alex H. Williams; 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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