Martin Schrimpf

34 papers A* 9Journal 21Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Contour Integration Underlies Human-Like Vision. ICML Ben Lonnqvist, Elsa Scialom, Abdulkadir Gokce, Zehra Merchant, Michael H. Herzog, Martin Schrimpf
2025	J	`jnl`	Contour Integration Underlies Human-Like Vision. CoRR Ben Lonnqvist, Elsa Scialom, Abdülkadir Gökce, Zehra Merchant, Michael H. Herzog, Martin Schrimpf
2025	J	`jnl`	Evaluating Contrast Localizer for Identifying Causal Units in Social & Mathematical Tasks in Language Models. CoRR Yassine Jamaa, Badr AlKhamissi, Satrajit Ghosh, Martin Schrimpf
2025	A*	`conf`	From Language to Cognition: How LLMs Outgrow the Human Language Network. EMNLP Badr AlKhamissi, Greta Tuckute, Yingtian Tang, Taha Osama A Binhuraib, Antoine Bosselut, Martin Schrimpf
2025	J	`jnl`	From Language to Cognition: How LLMs Outgrow the Human Language Network. CoRR Badr AlKhamissi, Greta Tuckute, Yingtian Tang, Taha Binhuraib, Antoine Bosselut, Martin Schrimpf
2025	J	`jnl`	Inducing Dyslexia in Vision Language Models. CoRR Melika Honarmand, Ayati Sharma, Badr AlKhamissi, Johannes Mehrer, Martin Schrimpf
2025	J	`jnl`	Mixture of Cognitive Reasoners: Modular Reasoning with Brain-Like Specialization. CoRR Badr AlKhamissi, C. Nicolò De Sabbata, Zeming Chen, Martin Schrimpf, Antoine Bosselut
2025	J	`jnl`	Model-Guided Microstimulation Steers Primate Visual Behavior. CoRR Johannes Mehrer, Ben Lonnqvist, Anna Mitola, Abdulkadir Gokce, Paolo Papale, Martin Schrimpf
2025	A*	`conf`	Scaling Laws for Task-Optimized Models of the Primate Visual Ventral Stream. ICML Abdülkadir Gökce, Martin Schrimpf
2025	—	`conf`	The LLM Language Network: A Neuroscientific Approach for Identifying Causally Task-Relevant Units. NAACL (Long Papers) Badr AlKhamissi, Greta Tuckute, Antoine Bosselut, Martin Schrimpf
2025	A*	`conf`	TopoLM: brain-like spatio-functional organization in a topographic language model. ICLR Neil Rathi, Johannes Mehrer, Badr AlKhamissi, Taha Osama A Binhuraib, Nicholas M. Blauch, Martin Schrimpf
2024	J	`jnl`	Brain-Like Language Processing via a Shallow Untrained Multihead Attention Network. CoRR Badr AlKhamissi, Greta Tuckute, Antoine Bosselut, Martin Schrimpf
2024	J	`jnl`	Dreaming Out Loud: A Self-Synthesis Approach For Training Vision-Language Models With Developmentally Plausible Data. CoRR Badr AlKhamissi, Yingtian Tang, Abdülkadir Gökce, Johannes Mehrer, Martin Schrimpf
2024	J	`jnl`	Scaling Laws for Task-Optimized Models of the Primate Visual Ventral Stream. CoRR Abdülkadir Gökce, Martin Schrimpf
2024	J	`jnl`	The LLM Language Network: A Neuroscientific Approach for Identifying Causally Task-Relevant Units. CoRR Badr AlKhamissi, Greta Tuckute, Antoine Bosselut, Martin Schrimpf
2024	J	`jnl`	TopoLM: brain-like spatio-functional organization in a topographic language model. CoRR Neil Rathi, Johannes Mehrer, Badr AlKhamissi, Taha Binhuraib, Nicholas M. Blauch, Martin Schrimpf
2023	A*	`conf`	Aligning Model and Macaque Inferior Temporal Cortex Representations Improves Model-to-Human Behavioral Alignment and Adversarial Robustness. ICLR Joel Dapello, Kohitij Kar, Martin Schrimpf, Robert Baldwin Geary, Michael Ferguson, David Daniel Cox, James J. DiCarlo
2023	J	`jnl`	Instruction-tuning Aligns LLMs to the Human Brain. CoRR Khai Loong Aw, Syrielle Montariol, Badr AlKhamissi, Martin Schrimpf, Antoine Bosselut
2023	—	`conf`	Modeling Visual Impairments with Artificial Neural Networks: a Review. ICCV (Workshops) Lucia Schiatti, Monica Gori, Martin Schrimpf, Giulia Cappagli, Federica Morelli, Sabrina Signorini, Boris Katz, Andrei Barbu
2022	A*	`conf`	Wiring Up Vision: Minimizing Supervised Synaptic Updates Needed to Produce a Primate Ventral Stream. ICLR Franziska Geiger, Martin Schrimpf, Tiago Marques, James J. DiCarlo
2021	A*	`conf`	Frivolous Units: Wider Networks Are Not Really That Wide. AAAI Stephen Casper, Xavier Boix, Vanessa D'Amario, Ling Guo, Martin Schrimpf, Kasper Vinken, Gabriel Kreiman
2021	—	`conf`	ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation. NeurIPS Datasets and Benchmarks Chuang Gan, Jeremy Schwartz, Seth Alter, Damian Mrowca, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Michael Lingelbach, Aidan Curtis, Kevin T. Feigelis, Daniel Bear, Dan Gutfreund, David D. Cox, Antonio Torralba, James J. DiCarlo, Josh Tenenbaum, Josh H. McDermott, Dan Yamins
2021	J	`jnl`	Unsupervised neural network models of the ventral visual stream. Proc. Natl. Acad. Sci. USA Chengxu Zhuang, Siming Yan, Aran Nayebi, Martin Schrimpf, Michael C. Frank, James J. DiCarlo, Daniel L. K. Yamins
2020	A*	`conf`	Simulating a Primary Visual Cortex at the Front of CNNs Improves Robustness to Image Perturbations. NeurIPS Joel Dapello, Tiago Marques, Martin Schrimpf, Franziska Geiger, David D. Cox, James J. DiCarlo
2020	J	`jnl`	ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation. CoRR Chuang Gan, Jeremy Schwartz, Seth Alter, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Damian Mrowca, Michael Lingelbach, Aidan Curtis, Kevin T. Feigelis, Daniel M. Bear, Dan Gutfreund, David D. Cox, James J. DiCarlo, Josh H. McDermott, Joshua B. Tenenbaum, Daniel L. K. Yamins
2019	A*	`conf`	Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs. NeurIPS Jonas Kubilius, Martin Schrimpf, Ha Hong, Najib J. Majaj, Rishi Rajalingham, Elias B. Issa, Kohitij Kar, Pouya Bashivan, Jonathan Prescott-Roy, Kailyn Schmidt, Aran Nayebi, Daniel Bear, Daniel L. K. Yamins, James J. DiCarlo
2019	J	`jnl`	Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs. CoRR Jonas Kubilius, Martin Schrimpf, Ha Hong, Najib J. Majaj, Rishi Rajalingham, Elias B. Issa, Kohitij Kar, Pouya Bashivan, Jonathan Prescott-Roy, Kailyn Schmidt, Aran Nayebi, Daniel Bear, Daniel L. K. Yamins, James J. DiCarlo
2019	J	`jnl`	Continual Learning with Self-Organizing Maps. CoRR Pouya Bashivan, Martin Schrimpf, Robert Ajemian, Irina Rish, Matthew Riemer, Yuhai Tu
2019	J	`jnl`	Removable and/or Repeated Units Emerge in Overparametrized Deep Neural Networks. CoRR Stephen Casper, Xavier Boix, Vanessa D'Amario, Ling Guo, Martin Schrimpf, Kasper Vinken, Gabriel Kreiman
2018	—	`conf`	A Flexible Approach to Automated RNN Architecture Generation. ICLR (Workshop) Martin Schrimpf, Stephen Merity, James Bradbury, Richard Socher
2017	J	`jnl`	A Flexible Approach to Automated RNN Architecture Generation. CoRR Martin Schrimpf, Stephen Merity, James Bradbury, Richard Socher
2017	J	`jnl`	On the Robustness of Convolutional Neural Networks to Internal Architecture and Weight Perturbations. CoRR Nicholas Cheney, Martin Schrimpf, Gabriel Kreiman
2017	J	`jnl`	Recurrent computations for visual pattern completion. CoRR Hanlin Tang, Bill Lotter, Martin Schrimpf, Ana Paredes, Josue Ortega Caro, Walter Hardesty, David D. Cox, Gabriel Kreiman
2016	J	`jnl`	Should I use TensorFlow. CoRR Martin Schrimpf