30 Results

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