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Workshop
CONTINUOUS-TIME NEURAL NETWORKS FOR MODELING LINEAR DYNAMICAL SYSTEMS
Chinmay Datar · Adwait Datar · Felix Dietrich · Wil Schilders
Workshop
Ensemble learning for Physics Informed Neural Networks: a Gradient Boosting approach
Zhiwei Fang · Sifan Wang · Paris Perdikaris
Workshop
Correcting Biased Centered Kernel Alignment Measures in Biological and Artificial Neural Networks
Alex Murphy · Joel Zylberberg · Alona Fyshe
Workshop
Fourier Circuits in Neural Networks: Unlocking the Potential of Large Language Models in Math Reasoning and Modular Arithmetic
Jiuxiang Gu · Chenyang Li · Yingyu Liang · Zhenmei Shi · Zhao Song · Tianyi Zhou
Workshop
Human and Deep Neural Network Alignment in Navigational Affordance Perception
Clemens Bartnik · Iris Groen
Workshop
Human-like Geometric Abstraction in Large Pre-Trained Neural Networks
Declan Campbell · Sreejan Kumar · Tyler Giallanza · Jonathan Cohen · Thomas L. Griffiths
Workshop
On Representing Electronic Wave Functions with Sign Equivariant Neural Networks
Nicholas Gao · Stephan Günnemann
Workshop
ON THE SCALABILITY OF GNNS FOR MOLECULAR GRAPHS
Maciej Sypetkowski · Frederik Wenkel · Farimah Poursafaei · Nia Dickson · Karush Suri · Philip Fradkin · Dominique Beaini
Workshop
Hierarchy-based Clifford Group Equivariant Message Passing Neural Networks
Takashi Maruyama · Francesco Alesiani
Workshop
Conformalized Physics-Informed Neural Networks
Lena Podina · Torabi Rad · Mohammad Kohandel
Workshop
A PHYSICS-INFORMED NEURAL NETWORK FOR COUPLED CALCIUM DYNAMICS IN A CABLE NEURON
Zachary Miksis · Gillian Queisser
Workshop
Adjustment of ocean carbon sink predictions with an emission-driven Earth system model using a deep neural network
Reinel Sospedra-Alfonso · Parsa Gooya · Johannes Exenberger