Erik H. Thiede

Publication Activity (10 Years)

Years Active: 2015-2022
Publications (10 Years): 7

Top Topics

Wavelet Synopses

Spectral Estimation

Top Venues

SIAM/ASA J. Uncertain. Quantification

SIAM J. Math. Data Sci.

SIAM J. Matrix Anal. Appl.

Publications

Zimu Li, Han Zheng, Erik H. Thiede, Junyu Liu, Risi Kondor
Group-Equivariant Neural Networks with Fusion Diagrams. CoRR (2022)
Erik H. Thiede, Wenda Zhou, Risi Kondor
Autobahn: Automorphism-based Graph Neural Nets. NeurIPS (2021)
Robert J. Webber, Erik H. Thiede, Douglas Dow, Aaron R. Dinner, Jonathan Weare
Error Bounds for Dynamical Spectral Estimation. SIAM J. Math. Data Sci. 3 (1) (2021)
Robert J. Webber, Erik H. Thiede, Douglas Dow, Aaron R. Dinner, Jonathan Weare
Error bounds for dynamical spectral estimation. CoRR (2020)
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
A community-powered search of machine learning strategy space to find NMR property prediction models. CoRR (2020)
Aaron R. Dinner, Erik H. Thiede, Brian Van Koten, Jonathan Weare
Stratification as a General Variance Reduction Method for Markov Chain Monte Carlo. SIAM/ASA J. Uncertain. Quantification 8 (3) (2020)
Erik H. Thiede, Brian Van Koten, Jonathan Weare
Sharp Entrywise Perturbation Bounds for Markov Chains. SIAM J. Matrix Anal. Appl. 36 (3) (2015)