Learning 3-Manifold Triangulations

15 May 2024

Papers citing "Learning 3-Manifold Triangulations"

22 / 22 papers shown

Title
Rigor with Machine Learning from Field Theory to the Poincaré Conjecture Sergei Gukov James Halverson Fabian Ruehle AI4CE 67 16 0 20 Feb 2024
Metric Flows with Neural Networks James Halverson Fabian Ruehle 34 8 0 30 Oct 2023
Machine Learning Regularization for the Minimum Volume Formula of Toric Calabi-Yau 3-folds Eugene Choi Rak-Kyeong Seong 40 7 0 30 Oct 2023
Constructing and Machine Learning Calabi-Yau Five-folds R. Alawadhi Daniele Angella Andrea Leonardo T. Schettini Gherardini 53 6 0 24 Oct 2023
Machine Learning Clifford invariants of ADE Coxeter elements Siqi Chen Pierre-Philippe Dechant Yang-Hui He Elli Heyes Edward Hirst Dmitrii Riabchenko 64 6 0 29 Sep 2023
Unsupervised Machine Learning Techniques for Exploring Tropical Coamoeba, Brane Tilings and Seiberg Duality Rak-Kyeong Seong 24 8 0 11 Sep 2023
Large Language Models Michael R Douglas LLMAG LM&MA 135 625 0 11 Jul 2023
Bayesian Renormalization D. Berman Marc S. Klinger A. G. Stapleton 66 17 0 17 May 2023
Graph Neural Networks and 3-Dimensional Topology Pavel Putrov Song Jin Ri 43 4 0 10 May 2023
Searching for ribbons with machine learning Sergei Gukov James Halverson Ciprian Manolescu Fabian Ruehle 95 13 0 18 Apr 2023
GPT-4 Technical Report OpenAI OpenAI OpenAI Josh Achiam Steven Adler Sandhini Agarwal Lama Ahmad ... Shengjia Zhao Tianhao Zheng Juntang Zhuang William Zhuk Barret Zoph LLMAG MLLM 1.4K 14,313 0 15 Mar 2023
Cluster Algebras: Network Science and Machine Learning Pierre-Philippe Dechant Yang-Hui He Elli Heyes Edward Hirst 99 12 0 25 Mar 2022
A duality connecting neural network and cosmological dynamics Sven Krippendorf M. Spannowsky AI4CE 60 8 0 22 Feb 2022
Machine Learning Calabi-Yau Hypersurfaces D. Berman Yang-Hui He Edward Hirst 152 34 0 12 Dec 2021
Learning knot invariants across dimensions J. Craven M. Hughes Vishnu Jejjala Arjun Kar 129 18 0 30 Nov 2021
Neurons on Amoebae Jiakang Bao Yang-Hui He Edward Hirst 41 25 0 07 Jun 2021
Disentangling a Deep Learned Volume Formula J. Craven Vishnu Jejjala Arjun Kar 52 19 0 07 Dec 2020
Quiver Mutations, Seiberg Duality and Machine Learning Jiakang Bao S. Franco Yang-Hui He Edward Hirst Gregg Musiker Yan Xiao 140 40 0 18 Jun 2020
Machine-Learning Dessins dÉnfants: Explorations via Modular and Seiberg-Witten Curves Yang-Hui He Edward Hirst Toby Peterken 30 37 0 10 Apr 2020
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.7K 94,770 0 11 Oct 2018
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 692 131,526 0 12 Jun 2017
Deep-Learning the Landscape Yang-Hui He AI4CE 35 101 0 08 Jun 2017