GenFormer: A Deep-Learning-Based Approach for Generating Multivariate Stochastic Processes

3 February 2024

Papers citing "GenFormer: A Deep-Learning-Based Approach for Generating Multivariate Stochastic Processes"

7 / 7 papers shown

Title
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 282 42,038 0 03 Dec 2019
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting Shiyang Li Xiaoyong Jin Yao Xuan Xiyou Zhou Wenhu Chen Yu Wang Xifeng Yan AI4TS 56 1,404 0 29 Jun 2019
A Tutorial on Bayesian Optimization P. Frazier GP 83 1,770 0 08 Jul 2018
Comparative Study of CNN and RNN for Natural Language Processing Wenpeng Yin Katharina Kann Mo Yu Hinrich Schütze 57 984 0 07 Feb 2017
Layer Normalization Jimmy Lei Ba J. Kiros Geoffrey E. Hinton 283 10,412 0 21 Jul 2016
Sequence to Sequence Learning with Neural Networks Ilya Sutskever Oriol Vinyals Quoc V. Le AIMat 295 20,491 0 10 Sep 2014
Neural Machine Translation by Jointly Learning to Align and Translate Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio AIMat 395 27,205 0 01 Sep 2014