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Workshop
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MLPfold: Identification of transition state ensembles in molecular dynamics simulations using machine learning
Preetham Venkatesh
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Workshop
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Closing the resolution gap in Lyman alpha simulations with deep learning
Cooper Jacobus · Peter Harrington · Zarija Lukić
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Affinity Workshop
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Simulating Health Time Series by Data Augmentation
Louis Gomez · Adedolapo Toye · Robert Hum · Samantha Kleinberg
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Workshop
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Deep Learning Modeling of Subgrid Physics in Cosmological N-body Simulations
Georgios Markos Chatziloizos · Francois Lanusse · Tristan Cazenave
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Workshop
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Biological Neurons vs Deep Reinforcement Learning: Sample efficiency in a simulated game-world
Forough Habibollahi · Moein Khajehnejad · Amitesh Gaurav · Brett J. Kagan
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Workshop
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Biological Neurons vs Deep Reinforcement Learning: Sample efficiency in a simulated game-world
Forough Habibollahi · Moein Khajehnejad · Amitesh Gaurav · Brett J. Kagan
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Workshop
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Towards Learned Simulators for Cell Migration
Koen Minartz · Yoeri Poels · Vlado Menkovski
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Poster
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Tue 9:00
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A composable machine-learning approach for steady-state simulations on high-resolution grids
Rishikesh Ranade · Chris Hill · Lalit Ghule · Jay Pathak
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Poster
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Wed 9:00
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Learning Modular Simulations for Homogeneous Systems
Jayesh Gupta · Sai Vemprala · Ashish Kapoor
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Workshop
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Learning Similarity Metrics for Volumetric Simulations with Multiscale CNNs
Georg Kohl · Liwei Chen · Nils Thuerey
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Workshop
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Simulation-Based Parallel Training
Lucas Meyer · Alejandro Ribes · Bruno Raffin
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Workshop
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Multiresolution Mesh Networks For Learning Dynamical Fluid Simulations
Bach Nguyen · Truong Son Hy · Long Tran-Thanh · Risi Kondor
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