Robuta

With the increasing number of satellite altimeters in orbit, the effective resolution of merged multiple satellite altimetry data can be improved. We implement...

Continual learning aims to allow models to learn new tasks without forgetting what has been learned before. This work introduces Elastic Variational Continual...

04/08/21 - Financial markets are a complex dynamical system. The complexity comes from the interaction between a market and its participants,...

Abstract page for arXiv paper 2409.07749: Contrasting Statistical Phase Estimation with the Variational Quantum Eigensolver in the era of Early Fault Tolerant...

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Clarendon Pr - 1980 - Low prices on new and used copies of books. 30 days return policy

This work considers industrial process monitoring using a variational autoencoder (VAE). As a powerful deep generative model, the variational autoencoder and...

This paper provides a comprehensive analysis of variational inference in latent variable models for survival analysis, emphasizing the distinctive challenges...

In order to effectively extract the frequency characteristics of an underwater acoustic signal under sensor measurement, a fusion frequency feature extraction...

10/16/20 - The learning and evaluation of energy-based latent variable models (EBLVMs) without any structural assumptions are highly challeng...

Variational Auto Encoder(2)

Abstract page for arXiv paper 2112.00402: Existence of variational solutions to nonlocal evolution equations via convex minimization

Abstract page for arXiv paper 2208.04554: Hierarchical Residual Learning Based Vector Quantized Variational Autoencoder for Image Reconstruction and Generation

Accurate prediction of landslide displacement is an effective way to reduce the risk of landslide disaster.

10/20/16 - Markov state models (MSMs) and Master equation models are popular approaches to approximate molecular kinetics, equilibria, metast...

Abstract page for arXiv paper 2509.11190: Investigating the Lottery Ticket Hypothesis for Variational Quantum Circuits

May 12, 2024 - Propose a hierarchical VAE model and utterance drop regularization to mitigate posterior collapse problem - *[NAACL 2018](http://naacl.org/naacl-hlt-2018/)*...

[ICLR 2023 (Spotlight)] Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation - Wang-ML-Lab/VDI

Inverse medium scattering solvers generally reconstruct a single solution without an associated measure of uncertainty. This is true both for the classical...

Abstract page for arXiv paper 1401.1022: On Using Control Variates with Stochastic Approximation for Variational Bayes and its Connection to Stochastic Linear...

In this poster, a new anomaly detection method is developed to reject documents that don't comply with a given template

A comprehensive book reviewing generative AI including clear mathematical derivations and intuitive illustrations.

Budhaditya Deb, Peter Bailey, Milad Shokouhi. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational...

Abstract page for arXiv paper 2003.07084: A mean value formula for the variational $p$-Laplacian

Mixture Models, Efficient Learning, and Applications

This paper attempts to provide an overview of current approaches for solving inverse problems in imaging using variational methods and machine learning. A...

Iulian Vlad Serban, Alexander Ororbia II, Joelle Pineau, Aaron Courville. Proceedings of the 2nd Workshop on Structured Prediction for Natural Language...

Discover the effective and simple Variational Homotopy Perturbation Method for solving nonlinear Riccati differential equations. Achieve fast convergence and...

Sponsor: Defense Advanced Research Projects Agency. The primary goal is to develop a Bayesian Neural Network (BNN) with an integrated Variational Inference...

Abstract page for arXiv paper 2310.13138: LHC Hadronic Jet Generation Using Convolutional Variational Autoencoders with Normalizing Flows

The U.S. Department of Energy's Office of Scientific and Technical Information

02/22/20 - Generative flows are promising tractable models for density modeling that define probabilistic distributions with invertible trans...

Abstract page for arXiv paper 2210.06484: Fast gradient estimation for variational quantum algorithms

The Variational Protocol is bringing retail and institutional derivatives trading on-chain.