Erik Henning Thiede

According to our database, Erik Henning Thiede authored at least 7 papers between 2015 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Group-Equivariant Neural Networks with Fusion Diagrams.

Zimu Li, Han Zheng, Erik H. Thiede, Junyu Liu, Risi Kondor

CoRR, 2022

2021

Error Bounds for Dynamical Spectral Estimation.

Robert J. Webber, Erik H. Thiede, Douglas Dow, Aaron R. Dinner, Jonathan Weare

SIAM J. Math. Data Sci., 2021

Autobahn: Automorphism-based Graph Neural Nets.

Erik H. Thiede, Wenda Zhou, Risi Kondor

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Stratification as a General Variance Reduction Method for Markov Chain Monte Carlo.

Aaron R. Dinner, Erik H. Thiede, Brian Van Koten, Jonathan Weare

SIAM/ASA J. Uncertain. Quantification, 2020

A community-powered search of machine learning strategy space to find NMR property prediction models.

Lars A. Bratholm, Will Gerrard, Brandon M. Anderson, Shaojie Bai, Sunghwan Choi, Lam Dang, Pavel Hanchar, Addison Howard, Guillaume Huard, Sanghoon Kim, J. Zico Kolter, Risi Kondor, Mordechai Kornbluth, Youhan Lee, Youngsoo Lee, Jonathan P. Mailoa, Thanh Tu Nguyen, Milos Popovic, Goran Rakocevic, Walter Reade, Wonho Song, Luka Stojanovic, Erik H. Thiede, Nebojsa Tijanic, Andres Torrubia, Devin Willmott, Craig P. Butts, David R. Glowacki, Kaggle participants

CoRR, 2020

The general theory of permutation equivarant neural networks and higher order graph variational encoders.

Erik Henning Thiede, Truong-Son Hy, Risi Kondor

CoRR, 2020

2015

Sharp Entrywise Perturbation Bounds for Markov Chains.

Erik H. Thiede, Brian Van Koten, Jonathan Weare

SIAM J. Matrix Anal. Appl., 2015