Fri 6:15 a.m. - 6:30 a.m.
|
Opening Remarks
(
Talk
)
>
SlidesLive Video
|
馃敆
|
Fri 6:30 a.m. - 7:00 a.m.
|
Why should we care if humans and machines have similar representations?
(
Tom Griffiths Invited Talk
)
>
SlidesLive Video
|
馃敆
|
Fri 7:00 a.m. - 7:30 a.m.
|
Symmetry and Universality
(
Sophia Sanborn Invited Talk
)
>
SlidesLive Video
|
馃敆
|
Fri 7:30 a.m. - 8:00 a.m.
|
When representations align: Universality in representation learning dynamics
(
Andrew Saxe Invited Talk
)
>
SlidesLive Video
|
馃敆
|
Fri 8:00 a.m. - 8:30 a.m.
|
Coffee break
|
馃敆
|
Fri 8:30 a.m. - 9:45 a.m.
|
Contributed talks
(
Talks
)
>
SlidesLive Video
|
馃敆
|
Fri 9:45 a.m. - 10:30 a.m.
|
Round Table
(
Discussion Panel
)
>
SlidesLive Video
|
馃敆
|
Fri 10:30 a.m. - 11:45 a.m.
|
Lunch
|
馃敆
|
Fri 11:45 a.m. - 12:15 p.m.
|
Local and global structure in neural network representations
(
Simon Kornblith Invited Talk
)
>
SlidesLive Video
|
馃敆
|
Fri 12:15 p.m. - 12:45 p.m.
|
Reusing pretrained models for learning and unlearning tasks
(
Eleni Traintafillou Invited Talk
)
>
SlidesLive Video
|
馃敆
|
Fri 12:45 p.m. - 1:15 p.m.
|
A rose by any other representation: some questions on the relationship between computation and representation
(
Andrew Lampinen Invited Talk
)
>
SlidesLive Video
|
馃敆
|
Fri 1:15 p.m. - 3:15 p.m.
|
Poster session
(
Posters
)
>
SlidesLive Video
|
馃敆
|
-
|
Characterizing pre-trained and task-adapted molecular representations
(
Poster
)
>
link
|
Celia Cintas 路 Payel Das 路 Jarret Ross 路 Brian Belgodere 路 Girmaw Abebe Tadesse 路 Vijil Chenthamarakshan 路 Jannis Born 路 Skyler D. Speakman
馃敆
|
-
|
Duality of Bures and Shape Distances with Implications for Comparing Neural Representations
(
Poster
)
>
link
|
Sarah Harvey 路 Brett Larsen 路 Alex Williams
馃敆
|
-
|
WavSpA: Wavelet Space Attention for Boosting Transformers' Long Sequence Learning Ability
(
Poster
)
>
link
|
Yufan Zhuang 路 Zihan Wang 路 Fangbo Tao 路 Jingbo Shang
馃敆
|
-
|
NEUCORE: Neural Concept Reasoning for Composed Image Retrieval
(
Poster
)
>
link
|
Shu Zhao 路 Huijuan Xu
馃敆
|
-
|
Grokking as Simplification: A Nonlinear Complexity Perspective
(
Poster
)
>
link
|
Ziming Liu 路 Ziqian Zhong 路 Max Tegmark
馃敆
|
-
|
Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference
(
Poster
)
>
link
|
Marvin Schmitt 路 Daniel Habermann 路 Paul-Christian B眉rkner 路 Ullrich K枚the 路 Stefan Radev
馃敆
|
-
|
Efficient Multimodal Alignment: To Freeze or Not to Freeze?
(
Poster
)
>
link
|
Till Aczel 路 Roger Wattenhofer
馃敆
|
-
|
What Does Knowledge Distillation Distill?
(
Poster
)
>
link
|
Cindy Wu 路 Ekdeep S Lubana 路 Bruno Mlodozeniec 路 Robert Kirk 路 David Krueger
馃敆
|
-
|
Comparing Representational and Functional Similarity in Small Transformer Language Models
(
Poster
)
>
link
|
Dan Friedman 路 Andrew Lampinen 路 Lucas Dixon 路 Danqi Chen 路 Asma Ghandeharioun
馃敆
|
-
|
Representational constraints underlying similarity between task-optimized neural systems
(
Poster
)
>
link
|
Tahereh Toosi
馃敆
|
-
|
A Compact Representation for Bayesian Neural Networks By Removing Permutation Symmetry
(
Poster
)
>
link
|
Tim Xiao 路 Weiyang Liu 路 Robert Bamler
馃敆
|
-
|
ReWaRD: Retinal Waves for Pre-Training Artificial Neural Networks Mimicking Real Prenatal Development
(
Poster
)
>
link
|
Benjamin Cappell 路 Andreas Stoll 路 Chukwudi Umah 路 Bernhard Egger
馃敆
|
-
|
Multimodal decoding of human brain activity into images and text
(
Poster
)
>
link
|
Matteo Ferrante 路 Tommaso Boccato 路 Furkan Ozcelik 路 Rufin VanRullen 路 Nicola Toschi
馃敆
|
-
|
Predictive variational autoencoder for learning robust representations of time-series data
(
Poster
)
>
link
|
Julia Wang 路 Dexter Tsin 路 Tatiana Engel
馃敆
|
-
|
Instruction-tuned LLMs with World Knowledge are More Aligned to the Human Brain
(
Poster
)
>
link
|
Khai Loong Aw 路 Syrielle Montariol 路 Badr AlKhamissi 路 Martin Schrimpf 路 Antoine Bosselut
馃敆
|
-
|
On Transferring Expert Knowledge from Tabular Data to Images
(
Poster
)
>
link
|
Jun-Peng Jiang 路 Han-Jia Ye 路 Leye Wang 路 Yang Yang 路 Yuan Jiang 路 De-Chuan Zhan
馃敆
|
-
|
On the Robustness of Neural Collapse and the Neural Collapse of Robustness
(
Poster
)
>
link
|
Jingtong Su 路 Ya Shi Zhang 路 Nikolaos Tsilivis 路 Julia Kempe
馃敆
|
-
|
MeSa: Masked, Geometric, and Supervised Pre-training for Monocular Depth Estimation
(
Poster
)
>
link
|
Muhammad Osama Khan 路 Junbang Liang 路 Chun-Kai Wang 路 Shan Yang 路 Yu Lou
馃敆
|
-
|
Linearly Structured World Representations in Maze-Solving Transformers
(
Poster
)
>
link
|
12 presenters
Michael Ivanitskiy 路 Alexander Spies 路 Tilman R盲uker 路 Guillaume Corlouer 路 Christopher Mathwin 路 Lucia Quirke 路 Can Rager 路 Rusheb Shah 路 Dan Valentine 路 Cecilia Diniz Behn 路 Katsumi Inoue 路 Samy Wu Fung
馃敆
|
-
|
A General Method for Testing Bayesian Models using Neural Data
(
Poster
)
>
link
|
Gabor Lengyel 路 Sabyasachi Shivkumar 路 Ralf Haefner
馃敆
|
-
|
ZipIt!: Multitask Model Merging without Training
(
Poster
)
>
link
|
George Stoica 路 Daniel Bolya 路 Jakob Bjorner 路 Pratik Ramesh 路 Taylor Hearn 路 Judy Hoffman
馃敆
|
-
|
Degradation and plasticity in convolutional neural networks: An investigation of internal representations
(
Poster
)
>
link
|
Jasmine Moore 路 Vibujithan Vigneshwaran 路 Matthias Wilms 路 Nils Daniel Forkert
馃敆
|
-
|
On the Direct Alignment of Latent Spaces
(
Poster
)
>
link
|
Zorah L盲hner 路 Michael Moeller
馃敆
|
-
|
Reinforcement Learning with Augmentation Invariant Representation: A Non-contrastive Approach
(
Poster
)
>
link
|
Nasik Muhammad Nafi 路 William Hsu
馃敆
|
-
|
SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding
(
Poster
)
>
link
|
Haoxiang Wang 路 Pavan Kumar Anasosalu Vasu 路 Fartash Faghri 路 Raviteja Vemulapalli 路 Mehrdad Farajtabar 路 Sachin Mehta 路 Mohammad Rastegari 路 Oncel Tuzel 路 Hadi Pouransari
馃敆
|
-
|
Comparing neural models using their perceptual discriminability predictions
(
Poster
)
>
link
|
Jingyang Zhou 路 Chanwoo Chun 路 Ajay Subramanian 路 Eero Simoncelli
馃敆
|
-
|
Semi-Ensemble: A Simple Approach Over-parameterize Model Interpolation
(
Poster
)
>
link
|
Jiwoon Lee 路 Jaeho Lee
馃敆
|
-
|
CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement
(
Poster
)
>
link
|
Mohammadreza (Reza) Salehi 路 Mehrdad Farajtabar 路 Maxwell Horton 路 Fartash Faghri 路 Hadi Pouransari 路 Raviteja Vemulapalli 路 Oncel Tuzel 路 Ali Farhadi 路 Mohammad Rastegari 路 Sachin Mehta
馃敆
|
-
|
Understanding Learning Dynamics of Neural Representations via Feature Visualization at Scale
(
Poster
)
>
link
|
Chandana Kuntala 路 Deepak Sharma 路 Carlos Ponce 路 Binxu Wang
馃敆
|
-
|
Unsupervised learning on spontaneous retinal activity leads to efficient neural representation geometry
(
Poster
)
>
link
|
Andrew Ligeralde 路 Yilun Kuang 路 Thomas Yerxa 路 Miah Pitcher 路 Marla Feller 路 SueYeon Chung
馃敆
|
-
|
Estimating shape distances on neural representations with limited samples
(
Poster
)
>
link
|
Dean Pospisil 路 Brett Larsen 路 Sarah Harvey 路 Alex Williams
馃敆
|
-
|
Growing Brains: Co-emergence of Anatomical and Functional Modularity in Recurrent Neural Networks
(
Poster
)
>
link
|
Ziming Liu 路 Mikail Khona 路 Ila Fiete 路 Max Tegmark
馃敆
|
-
|
Towards Measuring Representational Similarity of Large Language Models
(
Poster
)
>
link
|
Max Klabunde 路 Mehdi Ben Amor 路 Michael Granitzer 路 Florian Lemmerich
馃敆
|
-
|
Bio-inspired parameter reuse: Exploiting inter-frame representation similarity with recurrence for accelerating temporal visual processing
(
Poster
)
>
link
|
Zuowen Wang 路 Longbiao Cheng 路 Joachim Ott 路 Pehuen Moure 路 Shih-Chii Liu
馃敆
|
-
|
UniCat: Crafting a Stronger Fusion Baseline for Multimodal Re-Identification
(
Poster
)
>
link
|
Jennifer Crawford 路 Haoli Yin 路 Luke McDermott 路 Daniel Cummings
馃敆
|
-
|
Testing Assumptions Underlying a Unified Theory for the Origin of Grid Cells
(
Poster
)
>
link
|
Rylan Schaeffer 路 Mikail Khona 路 Adrian Bertagnoli 路 Sanmi Koyejo 路 Ila Fiete
馃敆
|
-
|
Understanding Mode Connectivity via Parameter Space Symmetry
(
Poster
)
>
link
|
Bo Zhao 路 Nima Dehmamy 路 Robin Walters 路 Rose Yu
馃敆
|
-
|
Channel Vision Transformers: An Image Is Worth C x 16 x 16 Words
(
Poster
)
>
link
|
Yujia Bao 路 Srinivasan Sivanandan 路 Theofanis Karaletsos
馃敆
|
-
|
DisCoV: Disentangling Time Series Representations via Contrastive based -Variational Inference
(
Poster
)
>
link
|
Khalid OUBLAL 路 Said Ladjal 路 David Benhaiem 路 Emmanuel LE BORGNE 路 Fran莽ois Roueff
馃敆
|
-
|
Mixture of Multimodal Interaction Experts
(
Poster
)
>
link
|
Haofei Yu 路 Paul Pu Liang 路 Russ Salakhutdinov 路 Louis-Philippe Morency
馃敆
|
-
|
Inverted-Attention Transformers can Learn Object Representations: Insights from Slot Attention
(
Poster
)
>
link
|
Yi-Fu Wu 路 Klaus Greff 路 Gamaleldin Elsayed 路 Michael Mozer 路 Thomas Kipf 路 Sjoerd van Steenkiste
馃敆
|
-
|
Increasing Brain-LLM Alignment via Information-Theoretic Compression
(
Poster
)
>
link
|
Mycal Tucker 路 Greta Tuckute
馃敆
|
-
|
NoPose-NeuS: Jointly Optimizing Camera Poses with Neural Implicit Surfaces for Multi-view Reconstruction
(
Poster
)
>
link
|
Mohamed Sabae 路 Hoda Baraka 路 Mayada Hadhoud
馃敆
|
-
|
Functional Modularity in Mind and Machine
(
Poster
)
>
link
|
Devon Jarvis 路 Richard Klein 路 Benjamin Rosman 路 Andrew Saxe
馃敆
|
-
|
Are Spiking Neural Networks more expressive than Artificial Neural Networks?
(
Poster
)
>
link
|
Manjot Singh 路 Adalbert Fono 路 Gitta Kutyniok
馃敆
|
-
|
Disentangling Linear Mode Connectivity
(
Poster
)
>
link
|
G眉l Sena Alt谋nta艧 路 Gregor Bachmann 路 Lorenzo Noci 路 Thomas Hofmann
馃敆
|
-
|
Model Merging by Gradient Matching
(
Poster
)
>
link
|
Nico Daheim 路 Thomas M枚llenhoff 路 Edoardo Maria Ponti 路 Iryna Gurevych 路 Mohammad Emtiyaz Khan
馃敆
|
-
|
Object-Centric Semantic Vector Quantization
(
Poster
)
>
link
|
Yi-Fu Wu 路 Minseung Lee 路 Sungjin Ahn
馃敆
|
-
|
Evaluation of Representational Similarity Scores Across Human Visual Cortex
(
Poster
)
>
link
|
Francisco Acosta 路 Colin Conwell 路 David Klindt 路 Nina Miolane
馃敆
|
-
|
Supervising Variational Autoencoder Latent Representations with Language
(
Poster
)
>
link
|
Thomas Lu 路 Aboli Marathe 路 Ada Martin
馃敆
|
-
|
Implicit Representations for Image Segmentation
(
Poster
)
>
link
|
Jan Philipp Schneider 路 Mishal Fatima 路 Jovita Lukasik 路 Andreas Kolb 路 Margret Keuper 路 Michael Moeller
馃敆
|
-
|
Ecological data and objectives align deep neural network representations with humans
(
Poster
)
>
link
|
Akash Nagaraj 路 Alekh Karkada Ashok 路 Drew Linsley 路 Francis Lewis 路 Peisen Zhou 路 Thomas Serre
馃敆
|
-
|
Visual Expertise Explains Image Inversion Effects
(
Poster
)
>
link
|
Martha Gahl 路 Shubham Kulkarni 路 Nikhil Pathak 路 Alex Russell 路 Gary Cottrell
馃敆
|
-
|
How Good is a Single Basin?
(
Poster
)
>
link
|
Kai Lion 路 Gregor Bachmann 路 Lorenzo Noci 路 Thomas Hofmann
馃敆
|
-
|
Subjective Randomness and In-Context Learning
(
Poster
)
>
link
|
Eric Bigelow 路 Ekdeep S Lubana 路 Robert Dick 路 Hidenori Tanaka 路 Tomer Ullman
馃敆
|
-
|
Deep Multimodal Emotion Recognition using Modality Aware Attention Network for Unifying Representations in Neural Models
(
Poster
)
>
link
|
Sungpil Woo 路 MUHAMMAD ZUBAIR 路 Sunhwan Lim 路 Daeyoung Kim
馃敆
|
-
|
On Feature Learning of Recursive Feature Machines and Automatic Relevance Determination
(
Poster
)
>
link
|
Daniel Gedon 路 Amirhesam Abedsoltan 路 Thomas Sch枚n 路 Misha Belkin
馃敆
|
-
|
Revisiting Supervision for Continual Representation Learning
(
Poster
)
>
link
|
Daniel Marczak 路 Sebastian Cygert 路 Tomasz Trzcinski 路 Bart艂omiej Twardowski
馃敆
|
-
|
Role Taxonomy of Units in Deep Neural Networks
(
Poster
)
>
link
|
Yang Zhao 路 Hao Zhang 路 Xiuyuan Hu
馃敆
|
-
|
A sparse null code emerges in deep neural networks
(
Poster
)
>
link
|
Brian Robinson 路 Nathan Drenkow 路 Colin Conwell 路 Michael Bonner
馃敆
|
-
|
How does fine-tuning affect your model? Mechanistic analysis on procedural tasks
(
Poster
)
>
link
|
Samyak Jain 路 Robert Kirk 路 Ekdeep S Lubana 路 Robert Dick 路 Hidenori Tanaka 路 Tim Rockt盲schel 路 Edward Grefenstette 路 David Krueger
馃敆
|
-
|
Variational Classification
(
Poster
)
>
link
|
Shehzaad Dhuliawala 路 Mrinmaya Sachan 路 Carl Allen
馃敆
|
-
|
Hybrid Early Fusion for Multi-Modal Biomedical Representations
(
Poster
)
>
link
|
Konstantin Hemker 路 Nikola Simidjievski 路 Mateja Jamnik
馃敆
|
-
|
Randomly Weighted Neuromodulation in Neural Networks Facilitates Learning of Manifolds Common Across Tasks
(
Poster
)
>
link
|
Jinyung Hong 路 Theodore P. Pavlic
馃敆
|
-
|
Linear Mode Connectivity in Sparse Neural Networks
(
Poster
)
>
link
|
Luke McDermott 路 Daniel Cummings
馃敆
|
-
|
SimVAE: Narrowing the gap between Discriminative & Generative Representation Learning
(
Poster
)
>
link
|
Alice Bizeul 路 Carl Allen
馃敆
|
-
|
Distributional Reinforcement Learning in the Mammalian Brain
(
Poster
)
>
link
|
Adam Lowet 路 Qiao Zheng 路 Melissa Meng 路 Sara Matias 路 Jan Drugowitsch 路 Naoshige Uchida
馃敆
|
-
|
Soft Matching Distance: A metric on neural representations that captures single-neuron tuning
(
Poster
)
>
link
|
Meenakshi Khosla 路 Alex Williams
馃敆
|
-
|
Universality of intrinsic dimension of latent representations across models
(
Poster
)
>
link
|
Teresa Scheidt 路 Lars Kai Hansen
馃敆
|
-
|
On consequences of finetuning on data with highly discriminative features
(
Poster
)
>
link
|
Wojciech Masarczyk 路 Tomasz Trzcinski 路 Mateusz Ostaszewski
馃敆
|
-
|
An Information-Theoretic Understanding of Maximum Manifold Capacity Representations
(
Poster
)
>
link
|
Berivan Isik 路 Victor Lecomte 路 Rylan Schaeffer 路 Yann LeCun 路 Mikail Khona 路 Ravid Shwartz-Ziv 路 Sanmi Koyejo 路 Andrey Gromov
馃敆
|
-
|
SHARCS: Shared Concept Space for\Explainable Multimodal Learning
(
Poster
)
>
link
|
Gabriele Dominici 路 Pietro Barbiero 路 Lucie Charlotte Magister 路 Pietro Li贸 路 Nikola Simidjievski
馃敆
|
-
|
Sufficient conditions for offline reactivation in recurrent neural networks
(
Poster
)
>
link
|
Nanda H Krishna 路 Colin Bredenberg 路 Daniel Levenstein 路 Blake Richards 路 Guillaume Lajoie
馃敆
|
-
|
On the universality of neural codes in vision
(
Poster
)
>
link
|
Florentin Guth 路 Brice M茅nard
馃敆
|
-
|
Event-Based Contrastive Learning for Medical Time Series
(
Poster
)
>
link
|
Hyewon Jeong 路 Nassim Oufattole 路 Aparna Balagopalan 路 Matthew McDermott 路 Payal Chandak 路 Marzyeh Ghassemi 路 Collin Stultz
馃敆
|
-
|
Multi-timescale reinforcement learning in the brain
(
Poster
)
>
link
|
Paul Masset 路 Pablo Tano 路 HyungGoo Kim 路 Athar Malik 路 Alexandre Pouget 路 Naoshige Uchida
馃敆
|
-
|
Duality of Bures and Shape Distances with Implications for Comparing Neural Representations
(
Spotlight
)
>
link
SlidesLive Video
|
Sarah Harvey 路 Brett Larsen 路 Alex Williams
馃敆
|
-
|
ZipIt!: Multitask Model Merging without Training
(
Spotlight
)
>
link
SlidesLive Video
|
George Stoica 路 Daniel Bolya 路 Jakob Bjorner 路 Pratik Ramesh 路 Taylor Hearn 路 Judy Hoffman
馃敆
|
-
|
Are Spiking Neural Networks more expressive than Artificial Neural Networks?
(
Spotlight
)
>
link
SlidesLive Video
|
Manjot Singh 路 Adalbert Fono 路 Gitta Kutyniok
馃敆
|
-
|
A sparse null code emerges in deep neural networks
(
Spotlight
)
>
link
SlidesLive Video
|
Brian Robinson 路 Nathan Drenkow 路 Colin Conwell 路 Michael Bonner
馃敆
|
-
|
Randomly Weighted Neuromodulation in Neural Networks Facilitates Learning of Manifolds Common Across Tasks
(
Spotlight
)
>
link
SlidesLive Video
|
Jinyung Hong 路 Theodore P. Pavlic
馃敆
|
-
|
Distributional Reinforcement Learning in the Mammalian Brain
(
Spotlight
)
>
link
SlidesLive Video
|
Adam Lowet 路 Qiao Zheng 路 Melissa Meng 路 Sara Matias 路 Jan Drugowitsch 路 Naoshige Uchida
馃敆
|
-
|
Soft Matching Distance: A metric on neural representations that captures single-neuron tuning
(
Spotlight
)
>
link
SlidesLive Video
|
Meenakshi Khosla 路 Alex Williams
馃敆
|
-
|
An Information-Theoretic Understanding of Maximum Manifold Capacity Representations
(
Spotlight
)
>
link
SlidesLive Video
|
Berivan Isik 路 Victor Lecomte 路 Rylan Schaeffer 路 Yann LeCun 路 Mikail Khona 路 Ravid Shwartz-Ziv 路 Sanmi Koyejo 路 Andrey Gromov
馃敆
|
-
|
Characterizing pre-trained and task-adapted molecular representations
(
Spotlight
)
>
link
|
Celia Cintas 路 Payel Das 路 Jarret Ross 路 Brian Belgodere 路 Girmaw Abebe Tadesse 路 Vijil Chenthamarakshan 路 Jannis Born 路 Skyler D. Speakman
馃敆
|
-
|
WavSpA: Wavelet Space Attention for Boosting Transformers' Long Sequence Learning Ability
(
Spotlight
)
>
link
SlidesLive Video
|
Yufan Zhuang 路 Zihan Wang 路 Fangbo Tao 路 Jingbo Shang
馃敆
|
-
|
NEUCORE: Neural Concept Reasoning for Composed Image Retrieval
(
Spotlight
)
>
link
SlidesLive Video
|
Shu Zhao 路 Huijuan Xu
馃敆
|
-
|
Grokking as Simplification: A Nonlinear Complexity Perspective
(
Spotlight
)
>
link
|
Ziming Liu 路 Ziqian Zhong 路 Max Tegmark
馃敆
|
-
|
Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference
(
Spotlight
)
>
link
SlidesLive Video
|
Marvin Schmitt 路 Daniel Habermann 路 Paul-Christian B眉rkner 路 Ullrich K枚the 路 Stefan Radev
馃敆
|
-
|
Efficient Multimodal Alignment: To Freeze or Not to Freeze?
(
Spotlight
)
>
link
|
Till Aczel 路 Roger Wattenhofer
馃敆
|
-
|
What Does Knowledge Distillation Distill?
(
Spotlight
)
>
link
|
Cindy Wu 路 Ekdeep S Lubana 路 Bruno Mlodozeniec 路 Robert Kirk 路 David Krueger
馃敆
|
-
|
Comparing Representational and Functional Similarity in Small Transformer Language Models
(
Spotlight
)
>
link
|
Dan Friedman 路 Andrew Lampinen 路 Lucas Dixon 路 Danqi Chen 路 Asma Ghandeharioun
馃敆
|
-
|
Representational constraints underlying similarity between task-optimized neural systems
(
Spotlight
)
>
link
|
Tahereh Toosi
馃敆
|
-
|
A Compact Representation for Bayesian Neural Networks By Removing Permutation Symmetry
(
Spotlight
)
>
link
SlidesLive Video
|
Tim Xiao 路 Weiyang Liu 路 Robert Bamler
馃敆
|
-
|
ReWaRD: Retinal Waves for Pre-Training Artificial Neural Networks Mimicking Real Prenatal Development
(
Spotlight
)
>
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Benjamin Cappell 路 Andreas Stoll 路 Chukwudi Umah 路 Bernhard Egger
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Multimodal decoding of human brain activity into images and text
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Matteo Ferrante 路 Tommaso Boccato 路 Furkan Ozcelik 路 Rufin VanRullen 路 Nicola Toschi
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Predictive variational autoencoder for learning robust representations of time-series data
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Julia Wang 路 Dexter Tsin 路 Tatiana Engel
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Instruction-tuned LLMs with World Knowledge are More Aligned to the Human Brain
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Khai Loong Aw 路 Syrielle Montariol 路 Badr AlKhamissi 路 Martin Schrimpf 路 Antoine Bosselut
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On Transferring Expert Knowledge from Tabular Data to Images
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Jun-Peng Jiang 路 Han-Jia Ye 路 Leye Wang 路 Yang Yang 路 Yuan Jiang 路 De-Chuan Zhan
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On the Robustness of Neural Collapse and the Neural Collapse of Robustness
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Jingtong Su 路 Ya Shi Zhang 路 Nikolaos Tsilivis 路 Julia Kempe
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MeSa: Masked, Geometric, and Supervised Pre-training for Monocular Depth Estimation
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Muhammad Osama Khan 路 Junbang Liang 路 Chun-Kai Wang 路 Shan Yang 路 Yu Lou
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Linearly Structured World Representations in Maze-Solving Transformers
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12 presenters
Michael Ivanitskiy 路 Alexander Spies 路 Tilman R盲uker 路 Guillaume Corlouer 路 Christopher Mathwin 路 Lucia Quirke 路 Can Rager 路 Rusheb Shah 路 Dan Valentine 路 Cecilia Diniz Behn 路 Katsumi Inoue 路 Samy Wu Fung
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A General Method for Testing Bayesian Models using Neural Data
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Gabor Lengyel 路 Sabyasachi Shivkumar 路 Ralf Haefner
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Degradation and plasticity in convolutional neural networks: An investigation of internal representations
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Jasmine Moore 路 Vibujithan Vigneshwaran 路 Matthias Wilms 路 Nils Daniel Forkert
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On the Direct Alignment of Latent Spaces
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Zorah L盲hner 路 Michael Moeller
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Reinforcement Learning with Augmentation Invariant Representation: A Non-contrastive Approach
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Nasik Muhammad Nafi 路 William Hsu
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SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding
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Haoxiang Wang 路 Pavan Kumar Anasosalu Vasu 路 Fartash Faghri 路 Raviteja Vemulapalli 路 Mehrdad Farajtabar 路 Sachin Mehta 路 Mohammad Rastegari 路 Oncel Tuzel 路 Hadi Pouransari
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Comparing neural models using their perceptual discriminability predictions
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Jingyang Zhou 路 Chanwoo Chun 路 Ajay Subramanian 路 Eero Simoncelli
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Semi-Ensemble: A Simple Approach Over-parameterize Model Interpolation
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Jiwoon Lee 路 Jaeho Lee
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CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement
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Mohammadreza (Reza) Salehi 路 Mehrdad Farajtabar 路 Maxwell Horton 路 Fartash Faghri 路 Hadi Pouransari 路 Raviteja Vemulapalli 路 Oncel Tuzel 路 Ali Farhadi 路 Mohammad Rastegari 路 Sachin Mehta
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Understanding Learning Dynamics of Neural Representations via Feature Visualization at Scale
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Chandana Kuntala 路 Deepak Sharma 路 Carlos Ponce 路 Binxu Wang
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Unsupervised learning on spontaneous retinal activity leads to efficient neural representation geometry
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Andrew Ligeralde 路 Yilun Kuang 路 Thomas Yerxa 路 Miah Pitcher 路 Marla Feller 路 SueYeon Chung
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Estimating shape distances on neural representations with limited samples
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Dean Pospisil 路 Brett Larsen 路 Sarah Harvey 路 Alex Williams
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Growing Brains: Co-emergence of Anatomical and Functional Modularity in Recurrent Neural Networks
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Ziming Liu 路 Mikail Khona 路 Ila Fiete 路 Max Tegmark
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Towards Measuring Representational Similarity of Large Language Models
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Max Klabunde 路 Mehdi Ben Amor 路 Michael Granitzer 路 Florian Lemmerich
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Bio-inspired parameter reuse: Exploiting inter-frame representation similarity with recurrence for accelerating temporal visual processing
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Zuowen Wang 路 Longbiao Cheng 路 Joachim Ott 路 Pehuen Moure 路 Shih-Chii Liu
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UniCat: Crafting a Stronger Fusion Baseline for Multimodal Re-Identification
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Jennifer Crawford 路 Haoli Yin 路 Luke McDermott 路 Daniel Cummings
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Testing Assumptions Underlying a Unified Theory for the Origin of Grid Cells
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Rylan Schaeffer 路 Mikail Khona 路 Adrian Bertagnoli 路 Sanmi Koyejo 路 Ila Fiete
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Understanding Mode Connectivity via Parameter Space Symmetry
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Bo Zhao 路 Nima Dehmamy 路 Robin Walters 路 Rose Yu
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Channel Vision Transformers: An Image Is Worth C x 16 x 16 Words
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Yujia Bao 路 Srinivasan Sivanandan 路 Theofanis Karaletsos
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DisCoV: Disentangling Time Series Representations via Contrastive based -Variational Inference
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Khalid OUBLAL 路 Said Ladjal 路 David Benhaiem 路 Emmanuel LE BORGNE 路 Fran莽ois Roueff
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Mixture of Multimodal Interaction Experts
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Haofei Yu 路 Paul Pu Liang 路 Russ Salakhutdinov 路 Louis-Philippe Morency
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Inverted-Attention Transformers can Learn Object Representations: Insights from Slot Attention
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Yi-Fu Wu 路 Klaus Greff 路 Gamaleldin Elsayed 路 Michael Mozer 路 Thomas Kipf 路 Sjoerd van Steenkiste
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Increasing Brain-LLM Alignment via Information-Theoretic Compression
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Mycal Tucker 路 Greta Tuckute
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NoPose-NeuS: Jointly Optimizing Camera Poses with Neural Implicit Surfaces for Multi-view Reconstruction
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Mohamed Sabae 路 Hoda Baraka 路 Mayada Hadhoud
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Functional Modularity in Mind and Machine
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Devon Jarvis 路 Richard Klein 路 Benjamin Rosman 路 Andrew Saxe
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Disentangling Linear Mode Connectivity
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G眉l Sena Alt谋nta艧 路 Gregor Bachmann 路 Lorenzo Noci 路 Thomas Hofmann
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Model Merging by Gradient Matching
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Nico Daheim 路 Thomas M枚llenhoff 路 Edoardo Maria Ponti 路 Iryna Gurevych 路 Mohammad Emtiyaz Khan
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Object-Centric Semantic Vector Quantization
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Yi-Fu Wu 路 Minseung Lee 路 Sungjin Ahn
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Evaluation of Representational Similarity Scores Across Human Visual Cortex
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Francisco Acosta 路 Colin Conwell 路 David Klindt 路 Nina Miolane
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Supervising Variational Autoencoder Latent Representations with Language
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Thomas Lu 路 Aboli Marathe 路 Ada Martin
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Implicit Representations for Image Segmentation
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Jan Philipp Schneider 路 Mishal Fatima 路 Jovita Lukasik 路 Andreas Kolb 路 Margret Keuper 路 Michael Moeller
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Ecological data and objectives align deep neural network representations with humans
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Akash Nagaraj 路 Alekh Karkada Ashok 路 Drew Linsley 路 Francis Lewis 路 Peisen Zhou 路 Thomas Serre
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Visual Expertise Explains Image Inversion Effects
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Martha Gahl 路 Shubham Kulkarni 路 Nikhil Pathak 路 Alex Russell 路 Gary Cottrell
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How Good is a Single Basin?
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Kai Lion 路 Gregor Bachmann 路 Lorenzo Noci 路 Thomas Hofmann
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Subjective Randomness and In-Context Learning
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Eric Bigelow 路 Ekdeep S Lubana 路 Robert Dick 路 Hidenori Tanaka 路 Tomer Ullman
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Deep Multimodal Emotion Recognition using Modality Aware Attention Network for Unifying Representations in Neural Models
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Sungpil Woo 路 MUHAMMAD ZUBAIR 路 Sunhwan Lim 路 Daeyoung Kim
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On Feature Learning of Recursive Feature Machines and Automatic Relevance Determination
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Daniel Gedon 路 Amirhesam Abedsoltan 路 Thomas Sch枚n 路 Misha Belkin
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Revisiting Supervision for Continual Representation Learning
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Daniel Marczak 路 Sebastian Cygert 路 Tomasz Trzcinski 路 Bart艂omiej Twardowski
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Role Taxonomy of Units in Deep Neural Networks
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Yang Zhao 路 Hao Zhang 路 Xiuyuan Hu
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How does fine-tuning affect your model? Mechanistic analysis on procedural tasks
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Samyak Jain 路 Robert Kirk 路 Ekdeep S Lubana 路 Robert Dick 路 Hidenori Tanaka 路 Tim Rockt盲schel 路 Edward Grefenstette 路 David Krueger
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Variational Classification
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Shehzaad Dhuliawala 路 Mrinmaya Sachan 路 Carl Allen
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Hybrid Early Fusion for Multi-Modal Biomedical Representations
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Konstantin Hemker 路 Nikola Simidjievski 路 Mateja Jamnik
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Linear Mode Connectivity in Sparse Neural Networks
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Luke McDermott 路 Daniel Cummings
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SimVAE: Narrowing the gap between Discriminative & Generative Representation Learning
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Alice Bizeul 路 Carl Allen
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Universality of intrinsic dimension of latent representations across models
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Teresa Scheidt 路 Lars Kai Hansen
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On consequences of finetuning on data with highly discriminative features
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Wojciech Masarczyk 路 Tomasz Trzcinski 路 Mateusz Ostaszewski
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SHARCS: Shared Concept Space for\Explainable Multimodal Learning
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Gabriele Dominici 路 Pietro Barbiero 路 Lucie Charlotte Magister 路 Pietro Li贸 路 Nikola Simidjievski
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Sufficient conditions for offline reactivation in recurrent neural networks
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Nanda H Krishna 路 Colin Bredenberg 路 Daniel Levenstein 路 Blake Richards 路 Guillaume Lajoie
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On the universality of neural codes in vision
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Florentin Guth 路 Brice M茅nard
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Event-Based Contrastive Learning for Medical Time Series
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Hyewon Jeong 路 Nassim Oufattole 路 Aparna Balagopalan 路 Matthew McDermott 路 Payal Chandak 路 Marzyeh Ghassemi 路 Collin Stultz
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Multi-timescale reinforcement learning in the brain
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Paul Masset 路 Pablo Tano 路 HyungGoo Kim 路 Athar Malik 路 Alexandre Pouget 路 Naoshige Uchida
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