https://openreview.net/forum?id=TtBvLYO23E&referrer=%5Bthe%20profile%20of%20Zhihao%20Ding%5D(%2Fprofile%3Fid%3D~Zhihao_Ding2)
Equivariant Graph Neural Networks (EGNNs) have demonstrated significant success in modeling microscale systems, including those in chemistry, biology and...
linear timeefficientequivarianttransformerscalable
https://openreview.net/forum?id=It69GYOep0&referrer=%5Bthe%20profile%20of%20Peilin%20Zhong%5D(%2Fprofile%3Fid%3D~Peilin_Zhong1)
$k$-anonymity is a widely-used privacy-preserving concept that ensures each record in a dataset is indistinguishable from at least $k-1$ other records. In this...
linear timemassively parallelk anonymitynearlyalgorithms
https://www.timeanddate.com/worldclock/fixedtime.html?msg=ESWN+Careers+Beyond+Academia%3A+Non-Linear+Career+Pathways+Event+Part+1&iso=20241118T1745&p1=1440&ah=1&am=30
Event Time Announcer shows time for ESWN Careers Beyond Academia: Non-Linear Career Pathways Event Part 1 in locations all over the world. In UTC it happens on...
event timeannouncereswncareersbeyond
https://observer.com/2026/02/interview-artist-oscar-murillo-kurimanzutto-exhibition/
Bringing together 15 years of work, his show at kurimanzutto resists chronology in favor of a nonlinear understanding of history and memory.
body of workoscar murillobuildingresists
https://www.mdpi.com/1424-8220/22/22/8873
This paper presents a simple and straightforward design of a discrete-time fractional-order odd-harmonics repetitive controller (RC). Unlike general RC...
designfractionalorderoddharmonics
https://deepai.org/publication/finite-time-error-bounds-for-linear-stochastic-approximation-and-td-learning
02/03/19 - We consider the dynamics of a linear stochastic approximation algorithm driven by Markovian noise, and derive finite-time bounds o...
stochastic approximationfinitetimeerrorbounds
https://deepai.org/publication/clustering-mixture-models-in-almost-linear-time-via-list-decodable-mean-estimation
06/16/21 - We study the problem of list-decodable mean estimation, where an adversary can corrupt a majority of the dataset. Specifically, we...
mixture modelslinear timeclusteringalmostvia