Kilian Haefeli - Google Scholar

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	All	Since 2019
Citations	48	48
h-index	1	1
i10-index	1	1

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2022202320242 23 23

Co-authors

Karolis MartinkusSenior ML Scientist, Prescient Design, Genentech, RocheVerified email at roche.com
Nathanael PerraudinSwiss Data Science Center - EPFL and ETH ZürichVerified email at ethz.ch
Roger WattenhoferETH ZurichVerified email at ethz.ch
Caglar GulcehreAI Researcher, Prof at EPFL, Consultant@Google DeepMind, ex-Staff Research Scientist@Google DeepMindVerified email at google.com
Noah LinigerETH ZurichVerified email at ethz.ch

Kilian Haefeli

Kilian Haefeli

Other namesKilian Konstantin Haefeli

Verified email at student.ethz.ch

Graph Theory Deep Learning Diffusion Models


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Diffusion Models for Graphs Benefit From Discrete State Spaces KK Haefeli, K Martinkus, N Perraudin, R Wattenhofer The First Learning on Graphs Conference., 2022	48	2022
HiPPO-Prophecy: State-Space Models can Provably Learn Dynamical Systems in Context FA Joseph, K Haefeli, N Liniger, C Gulcehre arXiv preprint arXiv:2407.09375, 2024		2024
HiPPO-Prophecy: State-Space Models can Provably Learn Dynamical Systems in Context F Arangath Joseph, K Haefeli, N Liniger, C Gulcehre arXiv e-prints, arXiv: 2407.09375, 2024		2024
Diffusion Models for Graphs Benefit From Discrete State Spaces KK Haefeli, K Martinkus, N Perraudin, R Wattenhofer NeurIPS 2022 Workshop: New Frontiers in Graph Learning., 2022		2022

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