Nat Dilokthanakul

Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders

Nat Dilokthanakul, Pedro A. M. Mediano, Marta Garnelo et al. · arXiv (Cornell University) · 2016 · 498 citations · Full text

Gaussian Mixture, Generative System, Engineering +13

MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification

Phairot Autthasan, Rattanaphon Chaisaen, Thapanun Sudhawiyangkul et al. · IEEE Transactions on Biomedical Engineering · 2021 · 163 citations · Full text

Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning

Nat Dilokthanakul, Christos Kaplanis, Nick Pawlowski et al. · IEEE Transactions on Neural Networks and Learning Systems · 2019 · 98 citations · Full text

Visual Goal Human-Robot Communication Framework With Few-Shot Learning: A Case Study in Robot Waiter System

Guntitat Sawadwuthikul, Tanyatep Tothong, Thanawat Lodkaew et al. · IEEE Transactions on Industrial Informatics · 2021 · 33 citations

Artificial Intelligence, Few-shot Learning, Multiple Instance Learning +27

Classifying Options for Deep Reinforcement Learning

Kai Arulkumaran, Nat Dilokthanakul, Murray Shanahan et al. · arXiv (Cornell University) · 2016 · 18 citations · Full text

Artificial Intelligence, Negative Transfer, Engineering +12