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Found 5 papers, 2 papers with code
Amortized Finite Element Analysis for Fast PDE-Constrained Optimization
Optimizing the parameters of partial differential equations (PDEs), i. e., PDE-constrained optimization (PDE-CO), allows us to model natural systems from observations or perform rational design of structures with complicated mechanical, thermal, or electromagnetic properties.
The Segmented iHMM: A Simple, Efficient Hierarchical Infinite HMM
We propose the segmented iHMM (siHMM), a hierarchical infinite hidden Markov model (iHMM) that supports a simple, efficient inference scheme.
Celeste: Variational inference for a generative model of astronomical images
We present a new, fully generative model of optical telescope image sets, along with a variational procedure for inference.
Graph-Sparse LDA: A Topic Model with Structured Sparsity
In our model, topics are summarized by a few latent concept-words from the underlying graph that explain the observed words.
Factorized Point Process Intensities: A Spatial Analysis of Professional Basketball
We develop a machine learning approach to represent and analyze the underlying spatial structure that governs shot selection among professional basketball players in the NBA.
