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Weichi Yao
Observed name:
Yao, Weichi
Institution:
University of Michigan
Observed institutions:
University of Michigan,
Simons Foundation,
Max Planck Institute for Astronomy,
Flatiron Institute,
New York University,
Columbia University
show all 6
ORCID:
0000-0002-3412-5317
Observed ORCID:
0000-0002-3412-5317
OpenAlex ID:
A5047961069
YASS: Yet Another Spike Sorter
2017
·
JinHyung Lee
, David Carlson
, et al.
·
bioRxiv (Cold Spring Harbor Laboratory)
·
58
PDF
Scalars are universal: Equivariant machine learning, structured like classical physics
2021
·
Villar, Soledad
, Hogg, David W.
, et al.
·
arXiv (Cornell University)
·
32
PDF
Ensemble methods for survival function estimation with time-varying covariates
2022
·
Weichi Yao
, Halina Frydman
, et al.
·
Statistical Methods in Medical Research
·
26
Experimental performance of graph neural networks on random instances of max-cut
2019
·
Weichi Yao
, Afonso S. Bandeira
, et al.
·
22
PDF
An ensemble method for interval-censored time-to-event data
2019
·
Weichi Yao
, Halina Frydman
, et al.
·
Biostatistics
·
21
PDF
Dynamic estimation with random forests for discrete‐time survival data
2021
·
Hoora Moradian
, Weichi Yao
, et al.
·
Canadian Journal of Statistics
·
13
PDF
Dimensionless machine learning: Imposing exact units equivariance
2022
·
Villar, Soledad
, Yao, Weichi
, et al.
·
arXiv (Cornell University)
·
12
PDF
Towards fully covariant machine learning
2023
·
Villar, Soledad
, Hogg, David W.
, et al.
·
arXiv (Cornell University)
·
8
PDF
LTRCforests: Ensemble Methods for Survival Data with Time-Varying Covariates
2020
·
Weichi Yao
, Halina Frydman
, et al.
·
6
Ensemble Methods for Survival Data with Time-Varying Covariates
2020
·
Weichi Yao
, Halina Frydman
, et al.
·
arXiv (Cornell University)
·
6
Ensemble methods for survival function estimation with time-varying covariates
2020
·
Yao, Weichi
, Frydman, Halina
, et al.
·
arXiv (Cornell University)
·
3
PDF
A simple equivariant machine learning method for dynamics based on scalars
2021
·
Yao, Weichi
, Storey-Fisher, Kate
, et al.
·
arXiv (Cornell University)
·
2
PDF
ICcforest: An Ensemble Method for Interval-Censored Survival Data
2019
·
Weichi Yao
, Halina Frydman
, et al.
·
1
PDF
PG-EviKal Manuscript Study Data/Results v1.0.0 (ArXiv Preprint)
2026
·
Cameron Gruich
, Weichi Yao
, et al.
·
Zenodo (CERN European Organization for Nuclear Research)
Goal-Oriented Influence-Maximizing Data Acquisition for Learning and Optimization
2026
·
Yao, Weichi
, Dumitrascu, Bianca
, et al.
·
arXiv (Cornell University)
PDF
Scalars are universal: Gauge-equivariant machine learning, structured like classical physics
2021
·
Soledad Villar
, David W. Hogg
, et al.
·
arXiv (Cornell University)
Ensemble Methods for Survival Data with Time-Varying Covariates [R package LTRCforests version 0.5.5]
2021
·
Weichi Yao
, Halina Frydman
, et al.
An Ensemble Method for Interval-Censored Survival Data [R package ICcforest version 0.5.1]
2020
·
Weichi Yao
, Halina Frydman
, et al.
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Works count:
20
Citation count:
210
H-index:
8
I10-index:
7
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