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