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45 Results

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Affinity Workshop
Determination of Neural Network Parameters for Path Loss Prediction in Very High Frequency Wireless Channel
Abigail Jefia · Segun Popoola · Aderemi A. Atayero
Poster
Thu 14:00 On the difficulty of learning chaotic dynamics with RNNs
Jonas Mikhaeil · Zahra Monfared · Daniel Durstewitz
Workshop
Deep Surrogate Docking: Accelerating Automated Drug Discovery with Graph Neural Networks
Ryien Hosseini · Filippo Simini · Austin Clyde · Arvind Ramanathan
Poster
Tue 14:00 Graph Convolution Network based Recommender Systems: Learning Guarantee and Item Mixture Powered Strategy
Leyan Deng · Defu Lian · Chenwang Wu · Enhong Chen
Poster
Tue 14:00 Infinite Recommendation Networks: A Data-Centric Approach
Noveen Sachdeva · Mehak Dhaliwal · Carole-Jean Wu · Julian Mcauley
Workshop
Equivariant Graph Hierarchy-based Neural Networks
Jiaqi Han · Yu Rong · Tingyang Xu · Wenbing Huang
Workshop
Learning Heterogeneous Interaction Strengths by Trajectory Prediction with Graph Neural Network
Seungwoong Ha · Hawoong Jeong
Workshop
Learning Topological Representation of Sensor Network with Persistent Homology in HCI Systems
Yan Yan · Cheng-Dong Li · Jing Xiong · Lei Wang
Affinity Workshop
Using Epidemic Multi-agent Synthetic Datasets for Predictions in Communication Networks: An LSTM Perspective
ChukwuNonso H Nwokoye · Chukwuemeka E Etodike · Queen Nkechi Chigbue
Poster
Thu 9:00 Sparsity in Continuous-Depth Neural Networks
Hananeh Aliee · Till Richter · Mikhail Solonin · Ignacio Ibarra · Fabian Theis · Niki Kilbertus
Poster
Tue 14:00 Learning dynamics of deep linear networks with multiple pathways
Jianghong Shi · Eric Shea-Brown · Michael Buice
Poster
Thu 14:00 Learning to Configure Computer Networks with Neural Algorithmic Reasoning
Luca Beurer-Kellner · Martin Vechev · Laurent Vanbever · Petar Veličković