Jacob Reimer

4 papers · 2018–2020 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10)

Venues

ICLR (2) NeurIPS (2)

Top co-authors

Erick Cobos (4) Emmanouil Froudarakis (3) Matthias Bethge (3) Andreas S. Tolias (2) Andreas Tolias (2) Alexander S. Ecker (2) Santiago A. Cadena (2) Edgar Walker (2) Edgar Y. Walker (2) Fabian H. Sinz (2)

Research topics

Computer Vision (3) Machine Learning (3) Deep Learning (2) Analysis (2) Architectures (2) Core Methods (2) Core AI (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Optimization & Theory (1)

Keywords

convolutional neural network (3) image classification (1) adversarial robustness (1) visual cortex (1) primary visual cortex (1) orientation selectivity (1) neuronal responses (1) neural regularization (1) adversarial attack (1) feature map (1) domain transfer (1) representational similarity (1) rotation equivariance (1) deep recurrent network (1) neural activity prediction (1) neural response prediction (1) cortical population prediction (1) video stimulus (1) representation learning (1) rotation-invariant clustering (1)

Papers

Rotation-invariant clustering of neuronal responses in primary visual cortex ICLR 2020 A rotation-equivariant convolutional neural network model of primary visual cortex ICLR 2019 Learning from brains how to regularize machines NeurIPS 2019 Stimulus domain transfer in recurrent models for large scale cortical population prediction on video NeurIPS 2018