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Workshop
Role of Parametrization in Learning Dynamics of Recurrent Neural Networks
Adwait Datar · Chinmay Datar · Zahra Monfared · Felix Dietrich
Workshop
A minimalistic representation model for head direction system
Minglu Zhao · Dehong Xu · Deqian Kong · Wenhao Zhang · Ying Nian Wu
Poster
Wed 11:00 Understanding the Differences in Foundation Models: Attention, State Space Models, and Recurrent Neural Networks
Jerome Sieber · Carmen Amo Alonso · Alexandre Didier · Melanie Zeilinger · Antonio Orvieto
Poster
Wed 16:30 Inference of Neural Dynamics Using Switching Recurrent Neural Networks
Yongxu Zhang · Shreya Saxena
Poster
Wed 11:00 Logical characterizations of recurrent graph neural networks with reals and floats
Veeti Ahvonen · Damian Heiman · Antti Kuusisto · Carsten Lutz
Poster
Fri 11:00 Feedback control guides credit assignment in recurrent neural networks
Klara Kaleb · Barbara Feulner · Juan Gallego · Claudia Clopath
Poster
Thu 11:00 Recurrent neural networks: vanishing and exploding gradients are not the end of the story
Nicolas Zucchet · Antonio Orvieto
Workshop
Convolutional Hierarchical Deep Learning Neural Networks-Tensor Decomposition (C-HiDeNN-TD): a scalable surrogate modeling approach for large-scale physical systems
Jiachen Guo · Chanwook Park · Xiaoyu Xie · Zhongsheng Sang · Gregory J. Wagner · Kam Liu
Affinity Event
Graph Neural Network-Enhanced Multi-Task Learning for Menstrual Disorder Prediction Using Multi-Omics Data
Comfort Adesina
Workshop
Convergence Guarantees for Neural Network-Based Hamilton–Jacobi Reachability
William Hofgard
Poster
Thu 16:30 Geometry of naturalistic object representations in recurrent neural network models of working memory
Xiaoxuan Lei · Takuya Ito · Pouya Bashivan
Poster
Wed 16:30 Structured flexibility in recurrent neural networks via neuromodulation
Julia Costacurta · Shaunak Bhandarkar · David Zoltowski · Scott Linderman