Shaping History: Advanced Machine Learning Techniques for the Analysis and Dating of Cuneiform Tablets over Three Millennia

6 June 2024

Papers citing "Shaping History: Advanced Machine Learning Techniques for the Analysis and Dating of Cuneiform Tablets over Three Millennia"

30 / 30 papers shown

Title
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 270 30,123 0 01 Mar 2022
Deep learning classification of large-scale point clouds: A case study on cuneiform tablets Frederik Hagelskjaer 3DV 3DPC 31 7 0 22 Feb 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 410 15,486 0 20 Dec 2021
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models Alex Nichol Prafulla Dhariwal Aditya A. Ramesh Pranav Shyam Pamela Mishkin Bob McGrew Ilya Sutskever Mark Chen 334 3,600 0 20 Dec 2021
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs Zhisheng Xiao Karsten Kreis Arash Vahdat DiffM 95 551 0 15 Dec 2021
Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods Zohaib Salahuddin Henry C. Woodruff A. Chatterjee Philippe Lambin 65 316 0 01 Nov 2021
Cascaded Diffusion Models for High Fidelity Image Generation Jonathan Ho Chitwan Saharia William Chan David J. Fleet Mohammad Norouzi Tim Salimans 151 1,220 0 30 May 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 213 7,831 0 11 May 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 329 3,675 0 18 Feb 2021
Using StyleGAN for Visual Interpretability of Deep Learning Models on Medical Images K. Schutte O. Moindrot P. Hérent Jean-Baptiste Schiratti S. Jégou FAtt MedIm 114 61 0 19 Jan 2021
StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation Zongze Wu Dani Lischinski Eli Shechtman DRL 91 483 0 25 Nov 2020
Learning identifiable and interpretable latent models of high-dimensional neural activity using pi-VAE Ding Zhou Xue-Xin Wei DRL 231 81 0 09 Nov 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 255 7,356 0 06 Oct 2020
Metrics for Multi-Class Classification: an Overview Margherita Grandini Enrico Bagli Giorgio Visani VLM 33 921 0 13 Aug 2020
An Explainable Machine Learning Model for Early Detection of Parkinson's Disease using LIME on DaTscan Imagery Pavan Rajkumar Magesh Richard Delwin Myloth Rijo Jackson Tom FAtt 37 192 0 01 Aug 2020
VAE-LIME: Deep Generative Model Based Approach for Local Data-Driven Model Interpretability Applied to the Ironmaking Industry C. Schockaert Vadim Macher A. Schmitz 30 18 0 15 Jul 2020
NVAE: A Deep Hierarchical Variational Autoencoder Arash Vahdat Jan Kautz BDL 69 910 0 08 Jul 2020
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 116 6,266 0 22 Oct 2019
explAIner: A Visual Analytics Framework for Interactive and Explainable Machine Learning Thilo Spinner U. Schlegel H. Schäfer Mennatallah El-Assady HAI 59 237 0 29 Jul 2019
Explainable Anatomical Shape Analysis through Deep Hierarchical Generative Models C. Biffi Juan J. Cerrolaza G. Tarroni Wenjia Bai A. de Marvao ... Jinming Duan S. Prasad S. Cook D. O’Regan Daniel Rueckert MedIm 35 46 0 28 Jun 2019
Global and Local Interpretability for Cardiac MRI Classification J. Clough Ilkay Oksuz Esther Puyol-Antón B. Ruijsink A. King Julia A. Schnabel 58 60 0 14 Jun 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 563 10,555 0 12 Dec 2018
Towards a Definition of Disentangled Representations I. Higgins David Amos David Pfau S. Racanière Loic Matthey Danilo Jimenez Rezende Alexander Lerchner OCL DRL 95 479 0 05 Dec 2018
Application of generative autoencoder in de novo molecular design T. Blaschke Marcus Olivecrona Ola Engkvist J. Bajorath Hongming Chen AI4CE 99 344 0 21 Nov 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.1K 21,906 0 22 May 2017
Interpretable Explanations of Black Boxes by Meaningful Perturbation Ruth C. Fong Andrea Vedaldi FAtt AAML 74 1,519 0 11 Apr 2017
XGBoost: A Scalable Tree Boosting System Tianqi Chen Carlos Guestrin 790 38,735 0 09 Mar 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 16,976 0 16 Feb 2016
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 293 6,931 0 12 Mar 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 274 19,049 0 20 Dec 2014