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37 Results
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Workshop
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Accelerating Quantum Emitter Characterization with Latent Neural Ordinary Differential Equations Andrew Proppe · Kin Long Kelvin Lee · Weiwei Sun · Chantalle Krajewska · Oliver Tye · Moungi Bawendi |
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Workshop
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Survey: Adaptive Physics-informed Neural Networks Edgar Torres Rios · Mathias Niepert |
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Poster
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Fri 11:00 |
An Efficient High-dimensional Gradient Estimator for Stochastic Differential Equations Shengbo Wang · Jose Blanchet · Peter W Glynn |
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Workshop
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3D-PDR Orion dataset and NeuralPDR: Neural Ordinary Equations for Photodissociation regions Gijs Vermariën · Serena Viti · Rahul Ravichandran · Thomas Bisbas |
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Workshop
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SepONet: Efficient Large-Scale Physics-Informed Operator Learning Xinling Yu · Sean Hooten · Ziyue Liu · Yequan Zhao · Marco Fiorentino · Thomas Van Vaerenbergh · Zheng Zhang |
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Workshop
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The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning Ruben Ohana · Michael McCabe · Lucas Meyer · Rudy Morel · Fruzsina Agocs · Miguel Beneitez · Marsha Berger · Blakesly Burkhart · Stuart Dalziel · Drummond Fielding · Daniel Fortunato · Jared Goldberg · Keiya Hirashima · Yan-Fei Jiang · Rich Kerswell · Suryanarayana Maddu · Jonah Miller · Payel Mukhopadhyay · Stefan Nixon · Jeff Shen · Romain Watteaux · Bruno Régaldo-Saint Blancard · Liam Parker · Miles Cranmer · Shirley Ho |
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Poster
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Thu 11:00 |
NeuralFluid: Nueral Fluidic System Design and Control with Differentiable Simulation Yifei Li · Yuchen Sun · Pingchuan Ma · Eftychios Sifakis · Tao Du · Bo Zhu · Wojciech Matusik |
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Workshop
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Error-controlled interaction discovery in deep neural networks Winston Chen · Yifan Jiang · William Stafford Noble · Yang Lu |
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Workshop
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Neural Infalling Clouds: Increasing the Efficacy of Subgrid Models and Scientific Equation Discovery using Neural ODEs and Symbolic Regression Brent Tan |
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Poster
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Fri 16:30 |
A provable control of sensitivity of neural networks through a direct parameterization of the overall bi-Lipschitzness Yuri Kinoshita · Taro Toyoizumi |
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Poster
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Wed 16:30 |
Controlled maximal variability along with reliable performance in recurrent neural networks Chiara Mastrogiuseppe · Ruben Moreno Bote |
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Workshop
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A COMPARATIVE STUDY OF NEURAL ODE AND UNIVERSAL ODE MODELS IN SOLVING CHANDRASEKHAR’S WHITE DWARF EQUATION. Raymundo Vazquez Martinez · Raj Dandekar · Rajat Dandekar · Sreedath Panat |