Trung-TinNGUYEN

Bayesian-Synthetic-Likelihood

Code for the Bayesian Synthetic Likelihood paper by Price et al 2018 in the Journal of Computational and Graphical Statistics (volume 27, issue 1, pages 1-11)

blogdown

Create Blogs and Websites with R Markdown

bml-course

Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille

BNP-GLLiM

This repository contains functions that are used for the BNP-GLLiM model in the preprint: "Bayesian nonparametric mixtures of experts for inverse problems".

conan-fgw

Code repository for: Nguyen et al. (2024). Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks. In Proceedings of The 41st International Conference on Machine Learning, ICML 2024, Acceptance rate 27.5% over 9,473 submissions.

CRPE-GMoE

About Code repository for: Nguyen, H., Nguyen, T., Nguyen, K., & Ho, N. (2024). Towards Convergence Rates for Parameter Estimation in Gaussian-gated Mixture of Experts. In Proceedings of The 27th International Conference on Artificial Intelligence and Statistics, AISTATS 2024, Acceptance rate 27.6% over 1980 submissions.

CRPE-SGaME

Code repository for: Nguyen, H., Nguyen, T., & Ho, N. (2023). Demystifying Softmax Gating Function in Gaussian Mixture of Experts. NeurIPS 2023 Spotlight. The acceptance rate for spotlights and orals is 3.6%. Specifically, 67 orals and 378 spotlights were accepted out of 12343 submissions.

GLLiM-ABC

This repository contains all numerical experiments (R code) for "Summary statistics and discrepancy measures for approximate Bayesian computation via surrogate posteriors". Statistics and Computing, 2022

HyperRouter

Code for this paper "HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts via HyperNetwork". The 2023 Conference on Empirical Methods in Natural Language Processing. The acceptance rate for short papers is 14%. Specifically, out of 1041 submissions, 146 papers were accepted for the main conference.

NamsGLoME-Simulation

This repository contains all numerical experiments (R code) for "A non-asymptotic approach for model selection via penalization in high-dimensional mixture of experts models". Electronic Journal of Statistics, 2022

Trung-TinNGUYEN/CRPE-GMoE

About Code repository for: Nguyen, H., Nguyen, T., Nguyen, K., & Ho, N. (2024). Towards Convergence Rates for Parameter Estimation in Gaussian-gated Mixture of Experts. In Proceedings of The 27th International Conference on Artificial Intelligence and Statistics, AISTATS 2024, Acceptance rate 27.6% over 1980 submissions.

Trung-TinNGUYEN/GLLiM-ABC

This repository contains all numerical experiments (R code) for "Summary statistics and discrepancy measures for approximate Bayesian computation via surrogate posteriors". Statistics and Computing, 2022

Trung-TinNGUYEN/blogdown

Create Blogs and Websites with R Markdown

Trung-TinNGUYEN/bml-course

Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille

Trung-TinNGUYEN/BNP-GLLiM

This repository contains functions that are used for the BNP-GLLiM model in the preprint: "Bayesian nonparametric mixtures of experts for inverse problems".

Trung-TinNGUYEN/BSL

:exclamation: This is a read-only mirror of the CRAN R package repository. BSL — Bayesian Synthetic Likelihood

Trung-TinNGUYEN/conan-fgw

Code repository for: Nguyen et al. (2024). Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks. In Proceedings of The 41st International Conference on Machine Learning, ICML 2024, Acceptance rate 27.5% over 9,473 submissions.

Trung-TinNGUYEN/CRPE-SGaME

Code repository for: Nguyen, H., Nguyen, T., & Ho, N. (2023). Demystifying Softmax Gating Function in Gaussian Mixture of Experts. NeurIPS 2023 Spotlight. The acceptance rate for spotlights and orals is 3.6%. Specifically, 67 orals and 378 spotlights were accepted out of 12343 submissions.

Trung-TinNGUYEN/CVXR

An R modeling language for convex optimization problems.

Trung-TinNGUYEN/d2l-vn

Bản dịch cuốn sách "Dive into Deep Learning"

Trung-TinNGUYEN/HyperRouter

Code for this paper "HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts via HyperNetwork". The 2023 Conference on Empirical Methods in Natural Language Processing. The acceptance rate for short papers is 14%. Specifically, out of 1041 submissions, 146 papers were accepted for the main conference.

Trung-TinNGUYEN/NamsGLoME-Simulation

This repository contains all numerical experiments (R code) for "A non-asymptotic approach for model selection via penalization in high-dimensional mixture of experts models". Electronic Journal of Statistics, 2022

Trung-TinNGUYEN/RHLP

User-freindly and flexible algorithm for time series segmentation by a Regression model with a Hidden Logistic Process (RHLP).

Trung-TinNGUYEN/CRPE-GMoE0

Code repository for: Nguyen, H., Nguyen, T., Nguyen, K., & Ho, N. (2024). Towards Convergence Rates for Parameter Estimation in Gaussian-gated Mixture of Experts. In Proceedings of The 27th International Conference on Artificial Intelligence and Statistics, AISTATS 2024, Acceptance rate 27.6% over 1980 submissions.

Trung-TinNGUYEN/desktop

Fork of GitHub Desktop to support various Linux distributions

Trung-TinNGUYEN/dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens and Luca Antiga.

Trung-TinNGUYEN/examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Trung-TinNGUYEN/FLaMingos

Functional Latent datA Models for clusterING heterogeneOus curveS

Trung-TinNGUYEN/GLLiM-ABC-v0

Trung-TinNGUYEN/GMVAE-1

Implementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering

Trung-TinNGUYEN/google-research

Google AI Research

Trung-TinNGUYEN/MEteorits

Mixtures-of-ExperTs modEling for cOmplex and non-noRmal dIsTributionS

Trung-TinNGUYEN/meteoritsSim

Trung-TinNGUYEN/pytorch-Deep-Learning

Deep Learning (with PyTorch)

Trung-TinNGUYEN/pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

Trung-TinNGUYEN/SaMUraiS

StAtistical Models for the UnsupeRvised segmentAion of tIme-Series

Trung-TinNGUYEN/stat-learning

Notes and exercise attempts for "An Introduction to Statistical Learning"

Trung-TinNGUYEN/tabml_book

Trung-TinNGUYEN/texsupport.ims_cosponsored-ejs

LaTeX author support files for IMS co-sponsored journal EJS.

Trung-TinNGUYEN/Trung-TinNGUYEN.github.io