|
Poster
|
Wed 9:00
|
A Quantitative Geometric Approach to Neural-Network Smoothness
Zi Wang · Gautam Prakriya · Somesh Jha
|
|
|
Workshop
|
|
Adaptive Selection of Atomic Fingerprints for High-Dimensional Neural Network Potentials
Johannes Sandberg · Emilie Devijver · Noel Jakse · Thomas Voigtmann
|
|
|
Workshop
|
|
Towards Creating Benchmark Datasets of Universal Neural Network Potential for Material Discovery
So Takamoto · Chikashi Shinagawa · Nontawat Charoenphakdee
|
|
|
Workshop
|
|
Predicting electrolyte solution properties by combining neural network accelerated molecular dynamics and continuum solvent theory.
Timothy T Duignan · Junji Zhang · Joshua Pagotto
|
|
|
Poster
|
Wed 14:00
|
Injecting Domain Knowledge from Empirical Interatomic Potentials to Neural Networks for Predicting Material Properties
Zeren Shui · Daniel Karls · Mingjian Wen · ilia Nikiforov · Ellad Tadmor · George Karypis
|
|
|
Workshop
|
|
Physically-primed deep-neural-networks for generalized undersampled MRI reconstruction
Nitzan Avidan · Moti Freiman
|
|
|
Workshop
|
|
Neural Network-based Real-Time Parameter Estimation in Electrochemical Sensors with Unknown Confounding Factors
Sarthak Jariwala
|
|
|
Affinity Workshop
|
|
Graph Convolutional Neural Network-based Quality Assessment of Light Field Images
Sana Alamgeer
|
|
|
Affinity Workshop
|
|
Unsupervised convolutional neural networks-based 3D reconstruction from 2D medical images guided by generative models
Jean-Rassaire Fouefack
|
|
|
Workshop
|
|
Benchmarking Graph Neural Network-based Imputation Methods on Single-Cell Transcriptomics Data
Han-Bo Li · Ramon Viñas Torné · Pietro Lió
|
|
|
Affinity Workshop
|
Mon 8:50
|
Unsupervised convolutional neural networks-based 3D reconstruction from 2D medical images guided by generative models.
Jean-Rassaire Fouefack
|
|
|
Workshop
|
|
Renormalization in the neural network-quantum field theory correspondence
Harold Erbin · Vincent Lahoche · Dine Ousmane Samary
|
|
