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Workshop
Neural Network-based Real-Time Parameter Estimation in Electrochemical Sensors with Unknown Confounding Factors
Sarthak Jariwala
Poster
Thu 9:00 Physics-Informed Implicit Representations of Equilibrium Network Flows
Kevin D. Smith · Francesco Seccamonte · Ananthram Swami · Francesco Bullo
Poster
Wed 14:00 Unsupervised Image-to-Image Translation with Density Changing Regularization
Shaoan Xie · Qirong Ho · Kun Zhang
Poster
Thu 14:00 Intrinsic dimensionality estimation using Normalizing Flows
Christian Horvat · Jean-Pascal Pfister
Poster
Wed 9:00 Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks
Agustinus Kristiadi · Runa Eschenhagen · Philipp Hennig
Poster
Thu 14:00 Using Embeddings for Causal Estimation of Peer Influence in Social Networks
Irina Cristali · Victor Veitch
Workshop
Aboveground carbon biomass estimate with Physics-informed deep network
Juan Nathaniel · · Campbell Watson · Gabrielle Nyirjesy · Conrad Albrecht
Poster
Thu 9:00 Toward Equation of Motion for Deep Neural Networks: Continuous-time Gradient Descent and Discretization Error Analysis
Taiki Miyagawa
Workshop
Invertible Neural Networks for Graph Prediction
Chen Xu · Xiuyuan Cheng · Yao Xie
Workshop
Using Sum-Product Networks to estimate neural population stutcture in the brain
Koosha Khalvati · Samantha Johnson · Stefan Mihalas · Michael Buice
Workshop
Transfer Learning with Physics-Informed Neural Networks for Efficient Simulation of Branched Flows
Raphael Pellegrin · Blake Bullwinkel · Marios Mattheakis · Pavlos Protopapas
Poster
Wasserstein Iterative Networks for Barycenter Estimation
Alexander Korotin · Vage Egiazarian · Lingxiao Li · Evgeny Burnaev