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ORCIDErik Henning Thiede
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2020 – today
- 2022
[i5]Zimu Li, Han Zheng, Erik H. Thiede, Junyu Liu, Risi Kondor:
Group-Equivariant Neural Networks with Fusion Diagrams. CoRR abs/2211.07482 (2022)- 2021
- [j3]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): 225-252 (2021) - [c1]Erik H. Thiede, Wenda Zhou, Risi Kondor:
Autobahn: Automorphism-based Graph Neural Nets. NeurIPS 2021: 29922-29934 - [i4]Erik Henning Thiede, Wenda Zhou, Risi Kondor:
Autobahn: Automorphism-based Graph Neural Nets. CoRR abs/2103.01710 (2021) - 2020
- [j2]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): 1139-1188 (2020) - [i3]Erik Henning Thiede, Truong-Son Hy, Risi Kondor:
The general theory of permutation equivarant neural networks and higher order graph variational encoders. CoRR abs/2004.03990 (2020) - [i2]Robert J. Webber, Erik H. Thiede, Douglas Dow, Aaron R. Dinner, Jonathan Weare:
Error bounds for dynamical spectral estimation. CoRR abs/2005.02248 (2020) - [i1]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 abs/2008.05994 (2020)
2010 – 2019
- 2015
- [j1]Erik H. Thiede, Brian Van Koten, Jonathan Weare:
Sharp Entrywise Perturbation Bounds for Markov Chains. SIAM J. Matrix Anal. Appl. 36(3): 917-941 (2015)
Coauthor Index
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