Please also see my Google Scholar profile for a list of all publications.

2019

Kubilius*, Jonas; Schrimpf*, Martin; Kar, Kohitij; Rajalingham, Rishi; Hong, Ha; Majaj, Najib J; Issa, Elias B; Bashivan, Pouya; Prescott-Roy, Jonathan; Schmidt, Kailyn; Nayebi, Aran; Bear, Daniel; Yamins, Daniel L K; DiCarlo, James J

Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs Inproceedings

In: Neural Information Processing Systems (NeurIPS; oral), 2019.

Abstract | BibTeX

Jozwik, Kamila Maria; Schrimpf, Martin; Kanwisher, Nancy; DiCarlo, James J

To find better neural network models of human vision, find better neural network models of primate vision Journal Article

In: bioRxiv, 2019.

Abstract | Links | BibTeX

Schrimpf*, Martin; Kubilius*, Jonas; Hong, Ha; Majaj, Najib J; Rajalingham, Rishi; Issa, Elias B; Kar, Kohitij; Ziemba, Corey; Bashivan, Pouya; Prescott-Roy, Jonathan; Schmidt, Kailyn; Yamins, Daniel L K; J., DiCarlo James

Using Brain-Score to Evaluate and Build Neural Networks for Brain-Like Object Recognition Inproceedings

In: Computational and Systems Neuroscience (Cosyne), 2019.

BibTeX

2018

Bashivan, Pouya; Schrimpf, Martin; Ajemian, Robert; Rish, Irina; Riemer, Matthew; Yuhai, Tu

Continual Learning with Self-Organizing Maps Inproceedings

In: Neural Information Processing Systems (NeurIPS) Continual Learning Workshop, 2018.

BibTeX

Schrimpf, Martin; Kubilius, Jonas; Hong, Ha; Majaj, Najib J; Rajalingham, Rishi; Issa, Elias B; Kar, Kohitij; Bashivan, Pouya; Prescott-Roy, Jonathan; Schmidt, Kailyn; Yamins, Daniel L K; Dicarlo, James J

Brain-Score: Which Artificial Neural Network for Object Recognition is most Brain-Like? Journal Article

In: bioRxiv, 2018.

Abstract | Links | BibTeX

Kubilius, Jonas; Schrimpf, Martin; Nayebi, Aran; Bear, Daniel; Yamins, Daniel L K; Dicarlo, James J

CORnet: Modeling the Neural Mechanisms of Core Object Recognition Journal Article

In: bioRxiv, 2018.

Abstract | Links | BibTeX

Tang, Hanlin; Schrimpf, Martin; Lotter, William; Moerman, Charlotte; Paredes, Ana; Ortega Caro, Josue ; Hardesty, Walter; Cox, David; Kreiman, Gabriel

Recurrent computations for visual pattern completion Journal Article

In: Proceedings of the National Academy of Sciences, 115 (35), 2018, ISSN: 0027-8424.

Abstract | Links | BibTeX

Arend, Luke; Han, Yena; Schrimpf, Martin; Bashivan, Pouya; Kar, Kohitij; Poggio, Tomaso; DiCarlo, James J; Boix, Xavier

Single units in a deep neural network functionally correspond with neurons in the brain: preliminary results Technical Report

2018.

BibTeX

Schrimpf*, Martin; Kubilius*, Jonas; Hong, Ha; Majaj, Najib J; Rajalingham, Rishi; Issa, Elias B; Kar, Kohitij; Bashivan, Pouya; Prescott-Roy, Jonathan; Schmidt, Kailyn; Yamins, Daniel L K; J., James DiCarlo James J

Brain-Score: Which Artificial Neural Network Best Emulates the Brain’s Neural Network? Inproceedings

In: Cognitive Computational Neuroscience (CCN), 2018.

BibTeX

2017

Schrimpf*, Martin; Merity*, Stephen; Bradbury, James; Socher, Richard

A Flexible Approach to Automated RNN Architecture Generation Inproceedings

In: International Conference on Learning Representations (ICLR) Workshop Track, 2017.

Abstract | Links | BibTeX

Schrimpf, Martin

Brain-inspired Recurrent Neural Algorithms for Advanced Object Recognition Masters Thesis

Technical University Munich, LMU Munich, University of Augsburg, 2017.

Abstract | Links | BibTeX

Cheney*, Nicholas; Schrimpf*, Martin; Kreiman, Gabriel

On the Robustness of Convolutional Neural Networks to Internal Architecture and Weight Perturbations Journal Article

In: arXiv preprint, 2017.

Abstract | Links | BibTeX

2016

Schrimpf, Martin

Should I use Tensorflow Technical Manual

University of Augsburg 2016, (Seminar Paper).

Abstract | Links | BibTeX

2014

Schrimpf, Martin

Scalable Database Concurrency Control using Transactional Memory Technical Report

Technical University Munich Bachelor Thesis, 2014.

Abstract | Links | BibTeX