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15 Results

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Poster
Tue 9:00 Hyperbolic Feature Augmentation via Distribution Estimation and Infinite Sampling on Manifolds
Zhi Gao · Yuwei Wu · Yunde Jia · Mehrtash Harandi
Poster
Wed 9:00 Constants of motion network
Muhammad Firmansyah Kasim · Yi Heng Lim
Poster
Defending Against Adversarial Attacks via Neural Dynamic System
Xiyuan Li · Zou Xin · Weiwei Liu
Workshop
A Neural ODE Interpretation of Transformer Layers
Yaofeng Zhong · Tongtao Zhang · Amit Chakraborty · Biswadip Dey
Workshop
Experimental study of Neural ODE training with adaptive solver for dynamical systems modeling
Alexandre Allauzen · Thiago Petrilli Maffei Dardis · Hannah De Oliveira Plath
Poster
Wed 9:00 Do Residual Neural Networks discretize Neural Ordinary Differential Equations?
Michael Sander · Pierre Ablin · Gabriel Peyré
Workshop
Learning and Shaping Manifold Attractors for Computation in Gated Neural ODEs
Timothy Kim · Tankut Can · Kamesh Krishnamurthy
Poster
Thu 9:00 Sparsity in Continuous-Depth Neural Networks
Hananeh Aliee · Till Richter · Mikhail Solonin · Ignacio Ibarra · Fabian Theis · Niki Kilbertus
Poster
Thu 14:00 Modular Flows: Differential Molecular Generation
Yogesh Verma · Samuel Kaski · Markus Heinonen · Vikas Garg
Poster
Thu 9:00 On global convergence of ResNets: From finite to infinite width using linear parameterization
Raphaël Barboni · Gabriel Peyré · Francois-Xavier Vialard
Workshop
Modular Flows: Differential Molecular Generation
Yogesh Verma · Samuel Kaski · Markus Heinonen · Vikas Garg
Poster
Tue 14:00 Unravelling the Performance of Physics-informed Graph Neural Networks for Dynamical Systems
Abishek Thangamuthu · Gunjan Kumar · Suresh Bishnoi · Ravinder Bhattoo · N M Anoop Krishnan · Sayan Ranu