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Workshop
Gauge Equivariant Neural Networks for 2+1D U(1) Gauge Theory Simulations in Hamiltonian Formulation
Di Luo · Shunyue Yuan · James Stokes · Bryan Clark
Poster
Tue 14:00 VaiPhy: a Variational Inference Based Algorithm for Phylogeny
Hazal Koptagel · Oskar Kviman · Harald Melin · Negar Safinianaini · Jens Lagergren
Poster
Wed 9:00 Gold-standard solutions to the Schrödinger equation using deep learning: How much physics do we need?
Leon Gerard · Michael Scherbela · Philipp Marquetand · Philipp Grohs
Poster
Wed 9:00 Constrained Langevin Algorithms with L-mixing External Random Variables
Yuping Zheng · Andrew Lamperski
Poster
Thu 14:00 Rapidly Mixing Multiple-try Metropolis Algorithms for Model Selection Problems
Hyunwoong Chang · Changwoo Lee · Zhao Tang Luo · Huiyan Sang · Quan Zhou
Poster
Wed 9:00 Bayesian Clustering of Neural Spiking Activity Using a Mixture of Dynamic Poisson Factor Analyzers
Ganchao Wei · Ian H Stevenson · Xiaojing Wang
Poster
Wed 9:00 Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte Carlo
Ignacio Peis · Chao Ma · José Miguel Hernández-Lobato
Poster
Wed 14:00 Mining Multi-Label Samples from Single Positive Labels
Youngin Cho · Daejin Kim · MOHAMMAD AZAM KHAN · Jaegul Choo
Poster
Thu 9:00 MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models
Erdun Gao · Ignavier Ng · Mingming Gong · Li Shen · Wei Huang · Tongliang Liu · Kun Zhang · Howard Bondell