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Fri 6:45 a.m. - 7:00 a.m.
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Welcome + Opening Remarks
(
Opening Remarks and Stats
)
>
SlidesLive Video
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N Apurva Ratan Murty
🔗
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Fri 7:00 a.m. - 7:10 a.m.
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The bandwidth of perceptual awareness is constrained by specific high-level visual features
(
Invited Oral
)
>
SlidesLive Video
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Michael Cohen
🔗
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Fri 7:10 a.m. - 7:20 a.m.
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Learning to Look by Self-Prediction
(
Invited Oral
)
>
SlidesLive Video
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Matthew Grimes
🔗
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Fri 7:20 a.m. - 7:40 a.m.
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Do deep neural networks explain how humans represent scenes?
(
Talk
)
>
SlidesLive Video
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Iris Groen
🔗
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Fri 7:40 a.m. - 8:00 a.m.
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Gestalt grouping cues for understanding complex scenes: evidence from psychophysics, neuroscience, and computer vision
(
Talk
)
>
SlidesLive Video
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Dirk Bernhardt-Walther
🔗
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Fri 8:00 a.m. - 8:20 a.m.
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Local Convolutions Cause an Implicit Bias towards High Frequency Adversarial Examples
(
Talk
)
>
SlidesLive Video
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Josue Ortega Caro
🔗
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Fri 8:20 a.m. - 8:40 a.m.
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Using machines to test ‘why’ human face perception works the way it does
(
Talk
)
>
SlidesLive Video
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Katharina Dobs
🔗
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Fri 8:40 a.m. - 9:00 a.m.
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Kate Storrs
(
Talk
)
>
SlidesLive Video
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🔗
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Fri 9:00 a.m. - 10:00 a.m.
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Lunch Break + Poster Session 1
(
Lunch Break + Poster Session 1
)
>
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🔗
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Fri 10:00 a.m. - 10:10 a.m.
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Top-down effects in an early visual cortex inspired hierarchical Variational Autoencoder
(
Talk
)
>
SlidesLive Video
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Balázs Meszéna
🔗
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Fri 10:10 a.m. - 10:20 a.m.
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Predictive Dynamics Improve Noise Robustness in a Deep Network Model of the Human Auditory System
(
Talk
)
>
SlidesLive Video
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Ching Fang
🔗
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Fri 10:20 a.m. - 10:40 a.m.
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The Perceptual Primacy of Feeling: Affectless machine vision models explain the majority of variance in visually evoked affect and aesthetics
(
Talk
)
>
SlidesLive Video
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Colin Conwell
🔗
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Fri 10:40 a.m. - 11:00 a.m.
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Generative Collage and its Sticky Questions on Human-AI Co-Creativity
(
Talk
)
>
SlidesLive Video
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Piotr Mirowski
🔗
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Fri 11:00 a.m. - 11:20 a.m.
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Line Drawings as Communication
(
Talk
)
>
SlidesLive Video
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Phillip Isola
🔗
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Fri 11:20 a.m. - 11:40 a.m.
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Tangible Abstractions
(
Talk
)
>
SlidesLive Video
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Tom White
🔗
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Fri 11:40 a.m. - 12:00 p.m.
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A computational model predicts humans' aesthetic judgments based on deep neural network feature values
(
Talk
)
>
SlidesLive Video
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Aenne Brielmann
🔗
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Fri 12:00 p.m. - 1:00 p.m.
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Margaret Livingstone
(
Keynote
)
>
SlidesLive Video
|
🔗
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Fri 1:00 p.m. - 2:00 p.m.
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Break + Poster Session 2
(
Break + Poster Session 2
)
>
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🔗
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Fri 2:00 p.m. - 2:30 p.m.
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A report on recent experimental tests of two predictions of contemporary computable models of the biological deep neural network underling primate visual intelligence
(
Quest Innaugural Talk
)
>
SlidesLive Video
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James J DiCarlo
🔗
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Fri 2:30 p.m. - 2:40 p.m.
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Topographic DCNNs trained on a single self-supervised task capture the functional organization of cortex into visual processing streams
(
Talk
)
>
SlidesLive Video
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Dawn Finzi
🔗
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Fri 2:40 p.m. - 2:50 p.m.
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Distinguishing representational geometries with controversial stimuli: Bayesian experimental design and its application to face dissimilarity judgments
(
Talk
)
>
SlidesLive Video
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Tal Golan · Wenxuan Guo
🔗
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Fri 2:50 p.m. - 3:10 p.m.
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Evaluating neural network models of vision and audition with model metamers
(
Talk
)
>
SlidesLive Video
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Jenelle Feather
🔗
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Fri 3:10 p.m. - 3:30 p.m.
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Complimenting Learning Systems supporting 3D object perception
(
Talk
)
>
SlidesLive Video
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tyler bonnen
🔗
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Fri 3:30 p.m. - 3:50 p.m.
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What's the endgame of neuroAI?
(
Talk
)
>
SlidesLive Video
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Patrick Mineault
🔗
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Fri 3:50 p.m. - 4:00 p.m.
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Closing Remarks, Award Ceremony and Reception
(
Closing Remarks, Award Ceremony and Reception
)
>
SlidesLive Video
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Arturo Deza
🔗
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|
-
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Exploring the perceptual straightness of adversarially robust and biologically-inspired visual representations
(
Poster
)
>
link
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Anne Harrington · Vasha DuTell · Ayush Tewari · Mark Hamilton · Simon Stent · Ruth Rosenholtz · Bill Freeman
🔗
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-
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Image-computable Bayesian model for 3D motion estimation with natural stimuli explains human biases
(
Poster
)
>
link
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Daniel Herrera-Esposito · Johannes Burge
🔗
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|
-
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Deep tensor factorization models of first impressions
(
Poster
)
>
link
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Yangyang Yu · Jordan Suchow
🔗
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|
-
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Measuring the Alignment of ANNs and Primate V1 on Luminance and Contrast Response Characteristics
(
Poster
)
>
link
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Stephanie Olaiya · Tiago Marques · James J DiCarlo
🔗
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|
-
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The emergence of visual simulation in task-optimized recurrent neural networks
(
Poster
)
>
link
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Alekh Karkada Ashok · Lakshmi Narasimhan Govindarajan · Drew Linsley · David Sheinberg · Thomas Serre
🔗
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|
-
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Predictive Dynamics Improve Noise Robustness in a Deep Network Model of the Human Auditory System
(
Oral
)
>
link
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Ching Fang · Erica Shook · Justin Buck · Guillermo Horga
🔗
|
|
-
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Adapting Brain-Like Neural Networks for Modeling Cortical Visual Prostheses
(
Poster
)
>
link
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Jacob Granley · Alexander Riedel
🔗
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|
-
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Implementing Divisive Normalization in CNNs Improves Robustness to Common Image Corruptions
(
Poster
)
>
link
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Andrew Cirincione · Reginald Verrier · Artiom Bic · Stephanie Olaiya · James J DiCarlo · Lawrence Udeigwe · Tiago Marques
🔗
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-
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Towards Disentangling the Roles of Vision & Language in Aesthetic Experience with Multimodal DNNs
(
Poster
)
>
link
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Colin Conwell · Christopher Hamblin
🔗
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|
-
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Fast temporal decoding from large-scale neural recordings in monkey visual cortex
(
Poster
)
>
link
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Jerome Hadorn · Zuowen Wang · Bodo Rueckauer · Xing Chen · Pieter Roelfsema · Shih-Chii Liu
🔗
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-
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Local Geometry Constraints in V1 with Deep Recurrent Autoencoders
(
Poster
)
>
link
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Jonathan Huml · Demba Ba
🔗
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|
-
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The bandwidth of perceptual awareness is constrained by specific high-level visual features
(
Oral
)
>
link
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Michael Cohen · Kirsten Lydic · N Apurva Ratan Murty
🔗
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|
-
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How much human-like visual experience do current self-supervised learning algorithms need in order to achieve human-level object recognition?
(
Poster
)
>
link
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Emin Orhan
🔗
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|
-
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How do humans and machine learning models track multiple objects through occlusion?
(
Poster
)
>
link
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Benjamin Peters · Eivinas Butkus · Nikolaus Kriegeskorte
🔗
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|
-
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Workshop version: How hard are computer vision datasets? Calibrating dataset difficulty to viewing time
(
Poster
)
>
link
|
David Mayo · Jesse Cummings · Xinyu Lin · Dan Gutfreund · Boris Katz · Andrei Barbu
🔗
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|
-
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Redundancy and dependency in brain activities
(
Poster
)
>
link
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Sikun Lin · Thomas Sprague · Ambuj K Singh
🔗
|
|
-
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System identification of neural systems: If we got it right, would we know?
(
Poster
)
>
link
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Yena Han · Tomaso Poggio · Brian Cheung
🔗
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|
-
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Cultural alignment of machine-vision representations
(
Poster
)
>
link
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Necdet Gurkan · Jordan Suchow
🔗
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|
-
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Generalized Predictive Coding: Bayesian Inference in Static and Dynamic models
(
Poster
)
>
link
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André Ofner · Beren Millidge · Sebastian Stober
🔗
|
|
-
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Primate Inferotemporal Cortex Neurons Generalize Better to Novel Image Distributions Than Analogous Deep Neural Networks Units
(
Poster
)
>
link
|
Marliawaty I Gusti Bagus · Tiago Marques · Sachi Sanghavi · James J DiCarlo · Martin Schrimpf
🔗
|
|
-
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Teacher-generated pseudo human spatial-attention labels boost contrastive learning models
(
Poster
)
>
link
|
Yushi Yao · Chang Ye · Junfeng He · Gamaleldin Elsayed
🔗
|
|
-
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Model Stitching: Looking For Functional Similarity Between Representations
(
Poster
)
>
link
|
Adriano Hernandez · Rumen Dangovski · Peter Y. Lu
🔗
|
|
-
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Cortical Transformers: Robustness and Model Compression with Multi-Scale Connectivity Properties of the Neocortex.
(
Poster
)
>
link
|
Brian Robinson · Nathan Drenkow
🔗
|
|
-
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Probing Representations of Numbers in Vision and Language Models
(
Poster
)
>
link
|
Ivana Kajic · Aida Nematzadeh
🔗
|
|
-
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Topographic DCNNs trained on a single self-supervised task capture the functional organization of cortex into visual processing streams
(
Oral
)
>
link
|
Dawn Finzi · Eshed Margalit · Kendrick Kay · Dan Yamins · Kalanit Grill-Spector
🔗
|
|
-
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Volumetric Neural Human for Robust Pose Optimization via Analysis-by-synthesis
(
Poster
)
>
link
|
Pengliang Ji · Angtian Wang · Yi Zhang · Adam Kortylewski · Alan Yuille
🔗
|
|
-
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What does an Adversarial Color look like?
(
Poster
)
>
link
|
John Chin · Arturo Deza
🔗
|
|
-
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Reconstruction-guided attention improves the robustness and shape processing of neural networks
(
Poster
)
>
link
|
Seoyoung Ahn · Hossein Adeli · Greg Zelinsky
🔗
|
|
-
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Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement
(
Poster
)
>
link
|
Michael Chang · Alyssa L Dayan · Franziska Meier · Tom Griffiths · Sergey Levine · Amy Zhang
🔗
|
|
-
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Exploring the role of image domain in self-supervised DNN models of rodent brains
(
Poster
)
>
link
|
Aaditya Prasad · Uri Manor · Talmo Pereira
🔗
|
|
-
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Top-down effects in an early visual cortex inspired hierarchical Variational Autoencoder
(
Oral
)
>
link
|
Ferenc Csikor · Balázs Meszéna · Bence Szabó · Gergo Orban
🔗
|
|
-
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Comparing Intuitions about Agents’ Goals, Preferences and Actions in Human Infants and Video Transformers
(
Poster
)
>
link
|
Alice Hein · Klaus Diepold
🔗
|
|
-
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Joint rotational invariance and adversarial training of a dual-stream Transformer yields state of the art Brain-Score for Area V4
(
Poster
)
>
link
|
William Berrios · Arturo Deza
🔗
|
|
-
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Distinguishing representational geometries with controversial stimuli: Bayesian experimental design and its application to face dissimilarity judgments
(
Oral
)
>
link
|
Tal Golan · Wenxuan Guo · Heiko Schütt · Nikolaus Kriegeskorte
🔗
|
|
-
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Human alignment of neural network representations
(
Poster
)
>
link
|
Lukas Muttenthaler · Lorenz Linhardt · Jonas Dippel · Robert Vandermeulen · Simon Kornblith
🔗
|
|
-
|
Learning to Look by Self-Prediction
(
Oral
)
>
link
|
Matthew Grimes · Joseph Modayil · Piotr Mirowski · Dushyant Rao · Raia Hadsell
🔗
|
|
-
|
Enforcing Object Permanence using Hierarchical Object-Centric Generative Models
(
Poster
)
>
link
|
Toon Van de Maele · Stefano Ferraro · Tim Verbelen · Bart Dhoedt
🔗
|
|
-
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Adding neuroplasticity to a CNN-based in-silico model of neurodegeneration
(
Poster
)
>
link
|
Jasmine Moore · Matthias Wilms · Kayson Fakhar · Fatemeh Hadaeghi · Claus Hilgetag · Nils Daniel Forkert
🔗
|
