Deep Inverse Design for High-Level Synthesis

11 July 2024

Papers citing "Deep Inverse Design for High-Level Synthesis"

20 / 20 papers shown

Title
AutoHLS: Learning to Accelerate Design Space Exploration for HLS Designs Md Rubel Ahmed T. Koike-Akino K. Parsons Ye Wang AI4CE 42 1 0 15 Mar 2024
A Transformer-based Diffusion Probabilistic Model for Heart Rate and Blood Pressure Forecasting in Intensive Care Unit Ping Chang Huayu Li S. Quan Shuyang Lu Shu-Fen Wung Janet Roveda Ao Li DiffM 54 20 0 16 Jan 2023
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Tengjiao Wang Ming-Hsuan Yang DiffM MedIm 333 1,382 0 02 Sep 2022
Unsupervised Learning for Combinatorial Optimization with Principled Objective Relaxation Haoyu Wang Nan Wu Hang Yang Cong Hao Pan Li 58 30 0 13 Jul 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 262 30,123 0 01 Mar 2022
CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation Y. Tashiro Jiaming Song Yang Song Stefano Ermon BDL DiffM 45 539 0 07 Jul 2021
How Attentive are Graph Attention Networks? Shaked Brody Uri Alon Eran Yahav GNN 94 1,071 0 30 May 2021
DiffWave: A Versatile Diffusion Model for Audio Synthesis Zhifeng Kong Ming-Yu Liu Jiaji Huang Kexin Zhao Bryan Catanzaro DiffM BDL 136 1,456 0 21 Sep 2020
Training Generative Adversarial Networks with Limited Data Tero Karras M. Aittala Janne Hellsten S. Laine J. Lehtinen Timo Aila GAN 141 1,884 0 11 Jun 2020
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 449 42,393 0 03 Dec 2019
Optuna: A Next-generation Hyperparameter Optimization Framework Takuya Akiba Shotaro Sano Toshihiko Yanase Takeru Ohta Masanori Koyama 657 5,786 0 25 Jul 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 220 4,336 0 06 Mar 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 750 8,517 0 03 Jan 2019
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 466 20,124 0 30 Oct 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 682 131,414 0 12 Jun 2017
Towards Principled Methods for Training Generative Adversarial Networks Martín Arjovsky M. Nault GAN 79 2,105 0 17 Jan 2017
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 182 2,530 0 02 Nov 2016
Tutorial on Variational Autoencoders Carl Doersch BDL DRL 96 1,743 0 19 Jun 2016
XGBoost: A Scalable Tree Boosting System Tianqi Chen Carlos Guestrin 782 38,735 0 09 Mar 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 258 4,787 0 04 Jan 2016