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Poster
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Tue 9:00
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Distributionally Robust Optimization with Data Geometry
Jiashuo Liu · Jiayun Wu · Bo Li · Peng Cui
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Workshop
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Towards automating formalisation of theorem statements using large language models
Siddhartha Gadgil · Anand Tadipatri · Navin Goyal · Ayush Agrawal · Ashvni Narayanan
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Workshop
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The geometry of hidden representations of protein language models
Lucrezia Valeriani · Francesca Cuturello · Alessio Ansuini · Alberto Cazzaniga
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Workshop
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EuclidNet: Deep Visual Reasoning for Constructible Problems in Geometry
Man Fai Wong · Xintong Qi · Chee-Wei Tan
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Workshop
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Learning to Understand Plane Geometry Diagram
Mlingliang Zhang · Fei yin · Yihan Hao · Cheng-lin Liu
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Workshop
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Exact Visualization of Deep Neural Network Geometry and Decision Boundary
Ahmed Imtiaz Humayun · Randall Balestriero · Richard Baraniuk
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Workshop
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On the Ambiguity in Classification
Arif Dönmez
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Workshop
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Improved Representation of Asymmetrical Distances with Interval Quasimetric Embeddings
Tongzhou Wang · Phillip Isola
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Workshop
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See and Copy: Generation of complex compositional movements from modular and geometric RNN representations
Sunny Duan · Mikail Khona · Adrian Bertagnoli · Sarthak Chandra · Ila Fiete
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Workshop
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Kendall Shape-VAE : Learning Shapes in a Generative Framework
Sharvaree Vadgama · Jakub Tomczak · Erik Bekkers
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Workshop
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Geometry reveals an instructive role of retinal waves as biologically plausible pre-training signals
Andrew Ligeralde · Miah Pitcher · Marla Feller · SueYeon Chung
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Workshop
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Identifying latent distances with Finslerian geometry
Alison Pouplin · David Eklund · Carl Henrik Ek · Søren Hauberg
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