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Workshop
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Variational Graph Auto-Encoders for Heterogeneous Information Network
Abhishek Dalvi · Ayan Acharya · Jing Gao · Vasant Honavar
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Affinity Workshop
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Under-Counted Tensor Completion with Neural Network-based Side Information Learner
Shahana Ibrahim · Xiao Fu · Rebecca Hutchinson · Eugene Seo
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Workshop
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Physics-informed neural networks for modeling rate- and temperature-dependent plasticity
Rajat Arora · Pratik Kakkar · Amit Chakraborty · Biswadip Dey
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Poster
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Tue 9:00
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Accelerated Training of Physics-Informed Neural Networks (PINNs) using Meshless Discretizations
Ramansh Sharma · Varun Shankar
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Poster
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Self-supervised Heterogeneous Graph Pre-training Based on Structural Clustering
Yaming Yang · Ziyu Guan · Zhe Wang · Wei Zhao · Cai Xu · Weigang Lu · Jianbin Huang
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Poster
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Thu 9:00
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Physics-Informed Implicit Representations of Equilibrium Network Flows
Kevin D. Smith · Francesco Seccamonte · Ananthram Swami · Francesco Bullo
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Workshop
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Aboveground carbon biomass estimate with Physics-informed deep network
Juan Nathaniel · · Campbell Watson · Gabrielle Nyirjesy · Conrad Albrecht
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Workshop
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Evaluating Error Bound for Physics-Informed Neural Networks on Linear Dynamical Systems
Shuheng Liu · Xiyue Huang · Pavlos Protopapas
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Workshop
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Physics-Informed Neural Networks as Solvers for the Time-Dependent Schrödinger Equation
Karan Shah · Patrick Stiller · Nico Hoffmann · Attila Cangi
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Workshop
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Dynamic weights enabled Physics-Informed Neural Network for simulating the mobility of Engineered Nano Particles in a contaminated aquifer
Shikhar Nilabh
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Workshop
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Clustering Behaviour of Physics-Informed Neural Networks: Inverse Modeling of An Idealized Ice Shelf
Yunona Iwasaki · Ching-Yao Lai
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Workshop
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Separable PINN: Mitigating the Curse of Dimensionality in Physics-Informed Neural Networks
Junwoo Cho · Seungtae Nam · Hyunmo Yang · Seok-Bae Yun · Youngjoon Hong · Eunbyung Park
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