Martin Schrimpf
11 papers · 2019–2025 · 7 conferences · across top CS/AI conferences
Achievements
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๐ Renaissance Researcher (6) ๐ Interdisciplinary Bridge ๐ Conference Polyglot (7) ๐ Academic Marathon (6) ๐บ๏ธ Taxonomy Completionist (20)
๐บ๏ธ
Taxonomy Completionist
(20)
๐
Renaissance Researcher
(6)
๐
Grand Slam
๐ฅ
Unstoppable
(7)
๐
Century Club
(11)
โก
Prolific Year
(5)
Conferences
ICLR (3)
ICML (2)
NIPS (2)
AAAI (1)
CONLL (1)
EMNLP (1)
NAACL (1)
Top co-authors
Keywords
brain alignment
(2)
neural network
(2)
representation learning
(2)
convolutional neural network
(2)
neural encoding
(1)
visual question answering
(1)
self-supervised learning
(1)
network pruning
(1)
neural network optimization
(1)
language understanding
(1)
neural network model
(1)
neural population
(1)
recurrent neural network
(1)
deep neural network
(1)
implicit regularization
(1)
language model
(1)
image corruption
(1)
next-token prediction
(1)
vision-language model
(1)
model ablation
(1)
Papers
Scaling Laws for Task-Optimized Models of the Primate Visual Ventral Stream
ICML 2025
The LLM Language Network: A Neuroscientific Approach for Identifying Causally Task-Relevant Units
NAACL 2025
Contour Integration Underlies Human-Like Vision
ICML 2025
TopoLM: brain-like spatio-functional organization in a topographic language model
ICLR 2025
From Language to Cognition: How LLMs Outgrow the Human Language Network
EMNLP 2025
Dreaming Out Loud: A Self-Synthesis Approach For Training Vision-Language Models With Developmentally Plausible Data
CONLL 2024
Aligning Model and Macaque Inferior Temporal Cortex Representations Improves Model-to-Human Behavioral Alignment and Adversarial Robustness
ICLR 2023
Wiring Up Vision: Minimizing Supervised Synaptic Updates Needed to Produce a Primate Ventral Stream
ICLR 2022
Frivolous Units: Wider Networks Are Not Really That Wide
AAAI 2021
Simulating a Primary Visual Cortex at the Front of CNNs Improves Robustness to Image Perturbations
NIPS 2020
Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs
NIPS 2019