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ICLR 2024 Workshop Re-Align Submissions
Is my "red" your "red"?: Unsupervised alignment of qualia structures via optimal transport
Genji Kawakita
,
Ariel Mikhael Zeleznikow-Johnston
,
Ken Takeda
,
Naotsugu Tsuchiya
,
Masafumi Oizumi
Published: 02 Mar 2024, Last Modified: 05 May 2024
ICLR 2024 Workshop Re-Align Poster
Readers:
Everyone
Removing High Frequency Information Improves DNN Behavioral Alignment
Max Wolff
,
Evgenia Rusak
,
Wieland Brendel
Published: 02 Mar 2024, Last Modified: 05 May 2024
ICLR 2024 Workshop Re-Align Poster
Readers:
Everyone
Less is More: Discovering Concise Network Explanations
Neehar Kondapaneni
,
Markus Marks
,
Oisin Mac Aodha
,
Pietro Perona
Published: 02 Mar 2024, Last Modified: 24 Jun 2024
ICLR 2024 Workshop Re-Align Poster
Readers:
Everyone
Learning and Aligning Structured Random Feature Networks
Vivian White
,
Muawiz Sajjad Chaudhary
,
Guy Wolf
,
Guillaume Lajoie
,
Kameron Decker Harris
Published: 02 Mar 2024, Last Modified: 05 May 2024
ICLR 2024 Workshop Re-Align Poster
Readers:
Everyone
The role of shared labels and experiences in representational alignment
Kushin Mukherjee
,
Siddharth Suresh
,
Xizheng Yu
,
Gary Lupyan
Published: 02 Mar 2024, Last Modified: 09 May 2024
ICLR 2024 Workshop Re-Align Poster
Readers:
Everyone
Disentangling Recurrent Neural Dynamics with Stochastic Representational Geometry
David Lipshutz
,
Amin Nejatbakhsh
,
Alex H Williams
Published: 02 Mar 2024, Last Modified: 05 May 2024
ICLR 2024 Workshop Re-Align ContributedTalk
Readers:
Everyone
Comparing supervised learning dynamics: Deep neural networks match human data efficiency but show a generalisation lag
Lukas S. Huber
,
Fred W. Mast
,
Felix A. Wichmann
Published: 02 Mar 2024, Last Modified: 12 Jul 2024
ICLR 2024 Workshop Re-Align Poster
Readers:
Everyone
What Causes Polysemanticity? An Alternative Origin Story of Mixed Selectivity from Incidental Causes
Victor Lecomte
,
Kushal Thaman
,
Rylan Schaeffer
,
Naomi Bashkansky
,
Trevor Chow
,
Sanmi Koyejo
Published: 02 Mar 2024, Last Modified: 02 Mar 2024
ICLR 2024 Workshop Re-Align Poster
Readers:
Everyone
Comparing Abstraction in Humans and Large Language Models Using Multimodal Serial Reproduction
Sreejan Kumar
,
Raja Marjieh
,
Byron Zhang
,
Declan Iain Campbell
,
Michael Y. Hu
,
Umang Bhatt
,
Brenden Lake
,
Thomas L. Griffiths
Published: 02 Mar 2024, Last Modified: 02 Mar 2024
ICLR 2024 Workshop Re-Align Poster
Readers:
Everyone
Measuring Human-CLIP Alignment at Different Abstraction Levels
Pablo Hernández-Cámara
,
Jorge Vila-Tomás
,
Jesus Malo
,
Valero Laparra
Published: 02 Mar 2024, Last Modified: 05 May 2024
ICLR 2024 Workshop Re-Align Poster
Readers:
Everyone
Symbolic Variables in Distributed Networks that Count
Satchel Grant
,
Zhengxuan Wu
,
James Lloyd McClelland
,
Noah Goodman
Published: 02 Mar 2024, Last Modified: 05 May 2024
ICLR 2024 Workshop Re-Align Poster
Readers:
Everyone
Inter-animal transforms as a guide to model-brain comparison
Imran Thobani
,
Javier Sagastuy-Brena
,
Aran Nayebi
,
Rosa Cao
,
Daniel LK Yamins
Published: 02 Mar 2024, Last Modified: 10 May 2024
ICLR 2024 Workshop Re-Align ContributedTalk
Readers:
Everyone
The benefits of Incorporating Shape Priors in Contrastive Learning
Junru Zhao
,
Tianqin Li
,
Tai Sing Lee
Published: 02 Mar 2024, Last Modified: 05 May 2024
ICLR 2024 Workshop Re-Align Poster
Readers:
Everyone
Humans diverge from language models when predicting spoken language
Thomas L. Botch
,
Emily S Finn
Published: 02 Mar 2024, Last Modified: 05 May 2024
ICLR 2024 Workshop Re-Align Poster
Readers:
Everyone
ReAlnet: Achieving More Human Brain-Like Vision via Human Neural Representational Alignment
Zitong Lu
,
Yile Wang
,
Julie Golomb
Published: 02 Mar 2024, Last Modified: 05 May 2024
ICLR 2024 Workshop Re-Align Poster
Readers:
Everyone
Modality-Agnostic fMRI Decoding of Vision and Language
Mitja Nikolaus
,
Milad Mozafari
,
Nicholas Asher
,
Leila Reddy
,
Rufin VanRullen
Published: 02 Mar 2024, Last Modified: 30 Mar 2024
ICLR 2024 Workshop Re-Align Poster
Readers:
Everyone
An Analysis of Human Alignment of Latent Diffusion Models
Lorenz Linhardt
,
Marco Morik
,
Sidney Bender
,
Naima Elosegui Borras
Published: 02 Mar 2024, Last Modified: 30 Mar 2024
ICLR 2024 Workshop Re-Align Poster
Readers:
Everyone
Learning to Abstract Visuomotor Mappings using Meta-Reinforcement Learning
Carlos A. Velazquez-Vargas
,
Isaac Ray Christian
,
Jordan Taylor
,
Sreejan Kumar
Published: 02 Mar 2024, Last Modified: 05 May 2024
ICLR 2024 Workshop Re-Align Poster
Readers:
Everyone
Unveiling the Dynamics of Transfer Learning Representations
Thomas Goerttler
,
Klaus Obermayer
Published: 02 Mar 2024, Last Modified: 05 May 2024
ICLR 2024 Workshop Re-Align Poster
Readers:
Everyone
Texture bias in primate ventral visual cortex
Akshay Vivek Jagadeesh
,
Margaret Livingstone
Published: 02 Mar 2024, Last Modified: 05 May 2024
ICLR 2024 Workshop Re-Align Poster
Readers:
Everyone
Lessons learned in the study of representational alignment in physical reasoning
Felix Jedidja Binder
,
Rahul Mysore Venkatesh
,
Daniel LK Yamins
,
Judith E Fan
Published: 02 Mar 2024, Last Modified: 07 May 2024
ICLR 2024 Workshop Re-Align Poster
Readers:
Everyone
Can Generative Multimodal Models Count to Ten?
Sunayana Rane
,
Alexander Ku
,
Jason Michael Baldridge
,
Ian Tenney
,
Thomas L. Griffiths
,
Been Kim
Published: 02 Mar 2024, Last Modified: 06 May 2024
ICLR 2024 Workshop Re-Align Poster
Readers:
Everyone
Measuring Mechanistic Interpretability at Scale Without Humans
Roland S. Zimmermann
,
David A. Klindt
,
Wieland Brendel
Published: 02 Mar 2024, Last Modified: 05 May 2024
ICLR 2024 Workshop Re-Align Poster
Readers:
Everyone
Towards neural foundation models for vision: Aligning EEG, MEG and fMRI representations to perform decoding, encoding and modality conversion
Matteo Ferrante
,
Tommaso Boccato
,
Nicola Toschi
Published: 02 Mar 2024, Last Modified: 05 May 2024
ICLR 2024 Workshop Re-Align Poster
Readers:
Everyone
Simplicity in Complexity
Surabhi S Nath
,
Kevin Shen
,
Aenne Annelie Brielmann
,
Peter Dayan
Published: 02 Mar 2024, Last Modified: 05 May 2024
ICLR 2024 Workshop Re-Align Poster
Readers:
Everyone
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