On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

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3 results for “auto-decoder”

Auto-decoding Graphscs.LG

Auto-decoder synthesizes graphs from latent codes.

problem Creating new graph structures from specified distributions.

method Generative model learns latent codes from empirical distribution. Self-attention identifies likely connectivity patterns. Graph-based normalizing flows sample latent codes.

result Model outperforms state of the art by 1.5x in accuracy and 2x in speed.

graph synthesis auto-decoder latent codes graph-based normalizing flows empirical distribution

2020-06-04abs ↗pdf ↗

MADS: Modulated Auto-Decoding SIREN for time series imputationstat.ML

MADS improves time series imputation performance across real-world datasets.

problem Time series imputation challenges due to variability in data types.

method MADS uses SIRENs for high-fidelity signal reconstruction and a hypernetwork for generalization.

result MADS outperforms state-of-the-art methods on real-world datasets.

time series imputation deep learning SIREN auto-decoding neural networks

2023-07-03abs ↗pdf ↗

Variational Auto-Decoder: A Method for Neural Generative Modeling from Incomplete Datacs.LG

Learning a generative model from partial data (data with missingness) is a challenging area of machine learning research. We study a specific implementation of the Auto-Encoding Variational Bayes (AEVB) algorithm, named in this paper as a Variational Auto-Decoder (VAD). VAD is a generic framework which uses Variational…

2019-03-03abs ↗pdf ↗