Poster
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Wed 8:45
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Trial matching: capturing variability with data-constrained spiking neural networks
Christos Sourmpis · Carl Petersen · Wulfram Gerstner · Guillaume Bellec
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Workshop
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Sat 7:45
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How do two-layer neural networks learn complex functions from data over time?
Florent Krzakala
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Workshop
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Elucidating the Relationship Between Climate Change and Poverty using Graph Neural Networks, Ensemble Models, and Remote Sensing Data
Parinthapat Pengpun · Alessandro Salatiello
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Workshop
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Ecological data and objectives align deep neural network representations with humans
Akash Nagaraj · Alekh Karkada Ashok · Drew Linsley · Francis Lewis · Peisen Zhou · Thomas Serre
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Workshop
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Equivariant Neural Networks for Signatures of Dark Matter Morphology in Strong Lensing Data
Geo Jolly Cheeramvelil · Michael Toomey · Sergei Gleyzer
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Poster
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Tue 15:15
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What Makes Data Suitable for a Locally Connected Neural Network? A Necessary and Sufficient Condition Based on Quantum Entanglement.
Yotam Alexander · Nimrod De La Vega · Noam Razin · Nadav Cohen
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Workshop
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Ecological data and objectives align deep neural network representations with humans
Akash Nagaraj · Alekh Karkada Ashok · Drew Linsley · Francis Lewis · Peisen Zhou · Thomas Serre
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Workshop
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Enhancing Data-Assimilation in CFD using Graph Neural Networks
Michele Quattromini · Michele Alessandro Bucci · Stefania Cherubini · Onofrio Semeraro
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Poster
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Wed 8:45
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Variational Monte Carlo on a Budget — Fine-tuning pre-trained Neural Wavefunctions
Michael Scherbela · Leon Gerard · Philipp Grohs
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Workshop
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Provably Convergent Data-Driven Convex-Nonconvex Regularization
Zakhar Shumaylov · Jeremy Budd · Subhadip Mukherjee · Carola-Bibiane Schönlieb
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Workshop
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Curvature and Causal Inference in Network Data
Amirhossein Farzam · Allen Tannenbaum · Guillermo Sapiro
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Poster
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Thu 8:45
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Adapting Neural Link Predictors for Data-Efficient Complex Query Answering
Erik Arakelyan · Pasquale Minervini · Daniel Daza · Michael Cochez · Isabelle Augenstein
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