More from the Same Authors

• 2021 : Which priors matter? Benchmarking models for learning latent dynamics »
  Aleksandar Botev · Andrew Jaegle · Peter Wirnsberger · Daniel Hennes · Irina Higgins
• 2021 Spotlight: How Well do Feature Visualizations Support Causal Understanding of CNN Activations? »
  Roland S. Zimmermann · Judy Borowski · Robert Geirhos · Matthias Bethge · Thomas Wallis · Wieland Brendel
• 2022 : Solving Math Word Problems with Process-based and Outcome-based Feedback »
  Jonathan Uesato · Nate Kushman · Ramana Kumar · H. Francis Song · Noah Siegel · Lisa Wang · Antonia Creswell · Geoffrey Irving · Irina Higgins
• 2023 : Does CLIP’s generalization performance mainly stem from high train-test similarity? »
  Prasanna Mayilvahanan · Thaddäus Wiedemer · Evgenia Rusak · Matthias Bethge · Wieland Brendel
• 2023 Poster: RDumb: A simple approach that questions our progress in continual test-time adaptation »
  Ori Press · Steffen Schneider · Matthias Kümmerer · Matthias Bethge
• 2023 Poster: Modulated Neural ODEs »
  Ilze Amanda Auzina · Çağatay Yıldız · Sara Magliacane · Matthias Bethge · Efstratios Gavves
• 2023 Poster: Compositional Generalization from First Principles »
  Thaddäus Wiedemer · Prasanna Mayilvahanan · Matthias Bethge · Wieland Brendel
• 2023 Poster: Cognitive Steering in Deep Neural Networks via Long-Range Modulatory Feedback Connections »
  Talia Konkle · George Alvarez
• 2022 : Solving Math Word Problems with Process-based and Outcome-based Feedback »
  Jonathan Uesato · Nate Kushman · Ramana Kumar · H. Francis Song · Noah Siegel · Lisa Wang · Antonia Creswell · Geoffrey Irving · Irina Higgins
• 2022 : Panel Discussion I: Geometric and topological principles for representation learning in ML »
  Irina Higgins · Taco Cohen · Erik Bekkers · Nina Miolane · Rose Yu
• 2022 : Symmetry-Based Representations for Artificial and Biological Intelligence »
  Irina Higgins
• 2022 Workshop: Information-Theoretic Principles in Cognitive Systems »
  Noga Zaslavsky · Mycal Tucker · Sarah Marzen · Irina Higgins · Stephanie Palmer · Samuel J Gershman
• 2021 : What can 5.17 billion regression fits tell us about artificial models of the human visual system? »
  Colin Conwell · Jacob Prince · George Alvarez · Talia Konkle
• 2021 : Invited Talk #3 - Disentanglement for Controllable Image Generation (Irina Higgins) »
  Irina Higgins
• 2021 Poster: How Well do Feature Visualizations Support Causal Understanding of CNN Activations? »
  Roland S. Zimmermann · Judy Borowski · Robert Geirhos · Matthias Bethge · Thomas Wallis · Wieland Brendel
• 2021 Poster: SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision »
  Irina Higgins · Peter Wirnsberger · Andrew Jaegle · Aleksandar Botev
• 2021 Oral: Partial success in closing the gap between human and machine vision »
  Robert Geirhos · Kantharaju Narayanappa · Benjamin Mitzkus · Tizian Thieringer · Matthias Bethge · Felix A. Wichmann · Wieland Brendel
• 2021 Poster: Partial success in closing the gap between human and machine vision »
  Robert Geirhos · Kantharaju Narayanappa · Benjamin Mitzkus · Tizian Thieringer · Matthias Bethge · Felix A. Wichmann · Wieland Brendel
• 2021 Tutorial: Pay Attention to What You Need: Do Structural Priors Still Matter in the Age of Billion Parameter Models? »
  Irina Higgins · Antonia Creswell · Sébastien Racanière
• 2021 : Why do we Need Structure and Where does it Come From? »
  Irina Higgins
• 2020 : Invited Talk: Irina Higgins »
  Irina Higgins
• 2020 : Panel Discussion »
  Jessica Hamrick · Klaus Greff · Michelle A. Lee · Irina Higgins · Josh Tenenbaum
• 2020 Poster: System Identification with Biophysical Constraints: A Circuit Model of the Inner Retina »
  Cornelius Schröder · David Klindt · Sarah Strauss · Katrin Franke · Matthias Bethge · Thomas Euler · Philipp Berens
• 2020 Spotlight: System Identification with Biophysical Constraints: A Circuit Model of the Inner Retina »
  Cornelius Schröder · David Klindt · Sarah Strauss · Katrin Franke · Matthias Bethge · Thomas Euler · Philipp Berens
• 2020 Poster: Disentangling by Subspace Diffusion »
  David Pfau · Irina Higgins · Alex Botev · Sébastien Racanière
• 2019 : Perturbation-based remodeling of visual neural network representations »
  Matthias Bethge
• 2019 : Cognitive computational neuroscience of vision »
  Nikolaus Kriegeskorte
• 2019 : Object representation in the human visual system »
  Talia Konkle
• 2019 : What is disentangling and does intelligence need it? »
  Irina Higgins
• 2019 Poster: Learning from brains how to regularize machines »
  Zhe Li · Wieland Brendel · Edgar Walker · Erick Cobos · Taliah Muhammad · Jacob Reimer · Matthias Bethge · Fabian Sinz · Xaq Pitkow · Andreas Tolias
• 2019 Poster: Accurate, reliable and fast robustness evaluation »
  Wieland Brendel · Jonas Rauber · Matthias Kümmerer · Ivan Ustyuzhaninov · Matthias Bethge
• 2018 : Invited Talk 3 »
  Irina Higgins
• 2018 : Adversarial Vision Challenge: Results of the Adversarial Vision Challenge »
  Wieland Brendel · Jonas Rauber · Marcel Salathé · Alexey Kurakin · Nicolas Papernot · Sharada Mohanty · Matthias Bethge
• 2018 Poster: Generalisation in humans and deep neural networks »
  Robert Geirhos · Carlos R. M. Temme · Jonas Rauber · Heiko H. Schütt · Matthias Bethge · Felix A. Wichmann
• 2018 Poster: Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies »
  Alessandro Achille · Tom Eccles · Loic Matthey · Chris Burgess · Nicholas Watters · Alexander Lerchner · Irina Higgins
• 2018 Spotlight: Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies »
  Alessandro Achille · Tom Eccles · Loic Matthey · Chris Burgess · Nicholas Watters · Alexander Lerchner · Irina Higgins
• 2017 : Irina Higgins »
  Irina Higgins
• 2017 : DeepArt competition »
  Alexander Ecker · Leon A Gatys · Matthias Bethge
• 2017 Poster: Neural system identification for large populations separating “what” and “where” »
  David Klindt · Alexander Ecker · Thomas Euler · Matthias Bethge
• 2016 : Matthias Bethge - Texture perception in humans and machines »
  Matthias Bethge
• 2015 Poster: Texture Synthesis Using Convolutional Neural Networks »
  Leon A Gatys · Alexander Ecker · Matthias Bethge
• 2015 Poster: Generative Image Modeling Using Spatial LSTMs »
  Lucas Theis · Matthias Bethge
• 2013 Workshop: MLINI-13: Machine Learning and Interpretation in Neuroimaging (Day 2) »
  Georg Langs · Brian Murphy · Kai-min K Chang · Paolo Avesani · James Haxby · Nikolaus Kriegeskorte · Susan Whitfield-Gabrieli · Irina Rish · Guillermo Cecchi · Raif Rustamov · Marius Kloft · Jonathan Young · Sina Ghiassian · Michael Coen
• 2013 Workshop: MLINI-13: Machine Learning and Interpretation in Neuroimaging (Day 1) »
  Georg Langs · Brian Murphy · Kai-min K Chang · Paolo Avesani · James Haxby · Nikolaus Kriegeskorte · Susan Whitfield-Gabrieli · Irina Rish · Guillermo Cecchi · Raif Rustamov · Marius Kloft · Jonathan Young · Sina Ghiassian · Michael Coen
• 2012 Poster: Training sparse natural image models with a fast Gibbs sampler of an extended state space »
  Lucas Theis · Jascha Sohl-Dickstein · Matthias Bethge
• 2010 Poster: Evaluating neuronal codes for inference using Fisher information »
  Ralf Haefner · Matthias Bethge
• 2009 Poster: Hierarchical Modeling of Local Image Features through $L_p$-Nested Symmetric Distributions »
  Fabian H Sinz · Eero Simoncelli · Matthias Bethge
• 2009 Poster: Neurometric function analysis of population codes »
  Philipp Berens · Sebastian Gerwinn · Alexander S Ecker · Matthias Bethge
• 2009 Poster: A joint maximum-entropy model for binary neural population patterns and continuous signals »
  Sebastian Gerwinn · Philipp Berens · Matthias Bethge
• 2009 Spotlight: A joint maximum-entropy model for binary neural population patterns and continuous signals »
  Sebastian Gerwinn · Philipp Berens · Matthias Bethge
• 2009 Poster: Bayesian estimation of orientation preference maps »
  Jakob H Macke · Sebastian Gerwinn · Leonard White · Matthias Kaschube · Matthias Bethge
• 2008 Poster: The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction »
  Fabian H Sinz · Matthias Bethge
• 2008 Spotlight: The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction »
  Fabian H Sinz · Matthias Bethge
• 2007 Oral: Bayesian Inference for Spiking Neuron Models with a Sparsity Prior »
  Sebastian Gerwinn · Jakob H Macke · Matthias Seeger · Matthias Bethge
• 2007 Spotlight: Near-Maximum Entropy Models for Binary Neural Representations of Natural Images »
  Matthias Bethge · Philipp Berens
• 2007 Poster: Near-Maximum Entropy Models for Binary Neural Representations of Natural Images »
  Matthias Bethge · Philipp Berens
• 2007 Poster: Bayesian Inference for Spiking Neuron Models with a Sparsity Prior »
  Sebastian Gerwinn · Jakob H Macke · Matthias Seeger · Matthias Bethge
• 2007 Poster: Receptive Fields without Spike-Triggering »
  Jakob H Macke · Günther Zeck · Matthias Bethge