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Workshop
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Neural networks learn an environment's geometry in latent space by performing predictive coding on visual scenes
James Gornet · Matt Thomson
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Workshop
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Neural networks learn an environment's geometry in latent space by performing predictive coding on visual scenes
James Gornet · Matt Thomson
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Workshop
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Geometry of inter-areal interactions in mouse visual cortex
Ramakrishnan Iyer · Joshua H Siegle · Gayathri Mahalingam · Shawn Olsen · Stefan Mihalas
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Workshop
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Learning and Shaping Manifold Attractors for Computation in Gated Neural ODEs
Timothy Kim · Tankut Can · Kamesh Krishnamurthy
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Workshop
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Optimal Latent Transport
Hrittik Roy · Søren Hauberg
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Workshop
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Training shapes the curvature of shallow neural network representations
Jacob Zavatone-Veth · Julian Rubinfien · Cengiz Pehlevan
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Workshop
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Distinguishing representational geometries with controversial stimuli: Bayesian experimental design and its application to face dissimilarity judgments
Tal Golan · Wenxuan Guo · Heiko Schütt · Nikolaus Kriegeskorte
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Workshop
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Sat 8:30
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Is the information geometry of probabilistic population codes learnable?
John Vastola · Zach Cohen · Jan Drugowitsch
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Workshop
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Chunking Space and Time with Information Geometry
Tim Verbelen · Daria de Tinguy · Pietro Mazzaglia · Ozan Catal · Adam Safron
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Workshop
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Sat 7:10
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Neural networks learn an environment's geometry in latent space by performing predictive coding on visual scenes
James Gornet · Matt Thomson
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Workshop
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Sat 9:52
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Chunking Space and Time with Information Geometry
Tim Verbelen · Daria de Tinguy · Pietro Mazzaglia · Ozan Catal · Adam Safron
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Workshop
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Sat 8:50
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Kendall Shape-VAE : Learning Shapes in a Generative Framework
Sharvaree Vadgama · Jakub Tomczak · Erik Bekkers
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