Dino Sejdinović - Publications, H-index & Citations

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Dino Sejdinović

adelaide university

26H-index

198Paper Count

4.6KCitation Count

Published Papers 26

Publication Date

CloudViT: exploring cloud type classification with vision transformers in global satellite data

Atmospheric Chemistry and Physics

IF5.1

2026-04-22

OAAI

Julien Lenhardt; Johannes Quaas; Dino Sejdinovic; Daniel Klocke

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All Models Are Miscalibrated, But Some Less So: Comparing Calibration with Conditional Mean Operators

AI 2025: ADVANCES IN ARTIFICIAL INTELLIGENCE, PT I

IF0

2026-01-01

PREAI

Moskvichev, Peter; Sejdinovic, Dino

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Marine cloud base height retrieval from MODIS cloud properties using machine learning

ATMOSPHERIC MEASUREMENT TECHNIQUES

IF3.3

2024-09-26

OAAI

Lenhardt, Julien; Quaas, Johannes; Sejdinovic, Dino

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Cross-architecture tuning of silicon and SiGe-based quantum devices using machine learning

SCIENTIFIC REPORTS

IF3.9

2024-07-27

OAAI

Severin, B.; Lennon, D. T.; Camenzind, L. C.; Vigneau, F.; Fedele, F.; Jirovec, D.; Ballabio, A.; Chrastina, D.; Isella, G.; de Kruijf, M.; Carballido, M. J.; Svab, S.; Kuhlmann, A. V.; Geyer, S.; Froning, F. N. M.; Moon, H.; Osborne, M. A.; Sejdinovic, D.; Katsaros, G.; Zumbuehl, D. M.; Briggs, G. A. D.; Ares, N.

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Bridging the Reality Gap in Quantum Devices with Physics-Aware Machine Learning

PHYSICAL REVIEW X

IF15.7

2024-01-04

OAAI

Craig, D. L.; Moon, H.; Fedele, F.; Lennon, D. T.; van Straaten, B.; Vigneau, F.; Camenzind, L. C.; Zumbuehl, D. M.; Briggs, G. A. D.; Osborne, M. A.; Sejdinovic, D.; Ares, N.

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Kernel dependence regularizers and Gaussian processes with applications to algorithmic fairness

PATTERN RECOGNITION

IF7.6

2022-12-01

OAAI

Li, Zhu; Perez-Suay, Adrian; Camps-Valls, Gustau; Sejdinovic, Dino

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Benign Overfitting and Noisy Features

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

IF3

2022-09-07

OAAI

Li, Zhu; Su, Weijie J.; Sejdinovic, Dino

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Physics-aware nonparametric regression models for Earth data analysis

ENVIRONMENTAL RESEARCH LETTERS

IF5.6

2022-05-04

OAAI

Cortes-Andres, Jordi; Camps-Valls, Gustau; Sippel, Sebastian; Szekely, Eniko; Sejdinovic, Dino; Diaz, Emiliano; Perez-Suay, Adrian; Li, Zhu; Mahecha, Miguel; Reichstein, Markus

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Unrepresentative big surveys significantly overestimated US vaccine uptake

NATURE

IF48.5

2021-12-08

135

OAAI

Bradley, Valerie C.; Kuriwaki, Shiro; Isakov, Michael; Sejdinovic, Dino; Meng, Xiao-Li; Flaxman, Seth

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Large scale tensor regression using kernels and variational inference

MACHINE LEARNING

IF2.9

2021-11-09

OAAI

Hu, Robert; Nicholls, Geoff K.; Sejdinovic, Dino

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A Kernel Log-Rank Test of Independence for Right-Censored Data

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

IF3

2021-09-13

OAAI

Fernandez, Tamara; Gretton, Arthur; Rindt, David; Sejdinovic, Dino

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Deep reinforcement learning for efficient measurement of quantum devices

NPJ QUANTUM INFORMATION

IF8.3

2021-06-18

OAAI

Nguyen, V.; Orbell, S. B.; Lennon, D. T.; Moon, H.; Vigneau, F.; Camenzind, L. C.; Yu, L.; Zumbuhl, D. M.; Briggs, G. A. D.; Osborne, M. A.; Sejdinovic, D.; Ares, N.

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Kernel-Based Graph Learning From Smooth Signals: A Functional Viewpoint

IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS

IF4.9

2021-01-01

OAAI

Pu, Xingyue; Chau, Siu Lun; Dong, Xiaowen; Sejdinovic, Dino

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The Role of Digital Technologies in Responding to the Grand Challenges of the Natural Environment: The Windermere Accord

PATTERNS

IF7.4

2021-01-01

OAAI

Blair, Gordon S.; Bassett, Richard; Bastin, Lucy; Beevers, Lindsay; Borrajo, Maribel Isabel; Brown, Mike; Dance, Sarah L.; Dionescu, Ada; Edwards, Liz; Ferrario, Maria Angela; Fraser, Rob; Fraser, Harriet; Gardner, Simon; Henrys, Peter; Hey, Tony; Homann, Stuart; Huijbers, Chantal; Hutchison, James; Jonathan, Phil; Lamb, Rob; Laurie, Sophie; Leeson, Amber; Leslie, David; McMillan, Malcolm; Nundloll, Vatsala; Oyebamiji, Oluwole; Phillipson, Jordan; Pope, Vicky; Prudden, Rachel; Reis, Stefan; Salama, Maria; Samreen, Faiza; Sejdinovic, Dino; Simm, Will; Street, Roger; Thornton, Lauren; Towe, Ross; Vande Hey, Joshua; Vieno, Massimo; Waller, Joanne; Watkins, John

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Machine learning enables completely automatic tuning of a quantum device faster than human experts

NATURE COMMUNICATIONS

IF15.7

2020-08-19

OAAI

Moon, H.; Lennon, D. T.; Kirkpatrick, J.; van Esbroeck, N. M.; Camenzind, L. C.; Yu, Liuqi; Vigneau, F.; Zumbuehl, D. M.; Briggs, G. A. D.; Osborne, M. A.; Sejdinovic, D.; Laird, E. A.; Ares, N.

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Detecting and quantifying causal associations in large nonlinear time series datasets

SCIENCE ADVANCES

IF12.5

2019-11-01

469

OAAI

Runge, Jakob; Nowack, Peer; Kretschmer, Marlene; Flaxman, Seth; Sejdinovic, Dino

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A perspective on Gaussian processes for Earth observation

NATIONAL SCIENCE REVIEW

IF17.1