Martin Schrimpf

Orcid: 0000-0001-7766-7223

According to our database1, Martin Schrimpf authored at least 17 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Brain-Like Language Processing via a Shallow Untrained Multihead Attention Network.
CoRR, 2024

2023
Instruction-tuning Aligns LLMs to the Human Brain.
CoRR, 2023

Aligning Model and Macaque Inferior Temporal Cortex Representations Improves Model-to-Human Behavioral Alignment and Adversarial Robustness.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Modeling Visual Impairments with Artificial Neural Networks: a Review.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Wiring Up Vision: Minimizing Supervised Synaptic Updates Needed to Produce a Primate Ventral Stream.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Unsupervised neural network models of the ventral visual stream.
Proc. Natl. Acad. Sci. USA, 2021


Frivolous Units: Wider Networks Are Not Really That Wide.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation.
CoRR, 2020

Simulating a Primary Visual Cortex at the Front of CNNs Improves Robustness to Image Perturbations.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Removable and/or Repeated Units Emerge in Overparametrized Deep Neural Networks.
CoRR, 2019

Continual Learning with Self-Organizing Maps.
CoRR, 2019

Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
A Flexible Approach to Automated RNN Architecture Generation.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
Recurrent computations for visual pattern completion.
CoRR, 2017

On the Robustness of Convolutional Neural Networks to Internal Architecture and Weight Perturbations.
CoRR, 2017

2016
Should I use TensorFlow.
CoRR, 2016


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