ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables.

Huibin Shen Sebastian Pineda Arango Pedro Mercado Shubham Kapoor Abdul Fatir Ansari Lorenzo Stella Huibin Shen Hugo Senetaire Ali Caner Türkmen Oleksandr Shchur Danielle C. Maddix Michael Bohlke-Schneider Bernie Wang 0001 Syama Sundar Rangapuram ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables. 2242-2250 2025 AISTATS https://proceedings.mlr.press/v258/arango25a.html conf/aistats/2025 db/conf/aistats/aistats2025.html#ArangoMKASSSTSMBWR25 streams/conf/aistats Sigrid Passano Hellan Huibin Shen Francois-Xavier Aubet David Salinas Aaron Klein Obeying the Order: Introducing Ordered Transfer Hyperparameter Optimization. AutoML 2025 14/1-29 conf/automl/2025 https://proceedings.mlr.press/v293/hellan25a.html db/conf/automl/automl2025.html#HellanSASK25 streams/conf/automl

Sebastian Pineda-Arango Pedro Mercado Shubham Kapoor Abdul Fatir Ansari Lorenzo Stella Huibin Shen Hugo Senetaire Caner Turkmen Oleksandr Shchur Danielle C. Maddix Michael Bohlke-Schneider Yuyang Wang 0001 Syama Sundar Rangapuram ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables. 2025 March abs/2503.12107 CoRR https://doi.org/10.48550/arXiv.2503.12107 db/journals/corr/corr2503.html#abs-2503-12107 streams/journals/corr

Abdul Fatir Ansari Oleksandr Shchur Jaris Küken Andreas Auer Boran Han Pedro Mercado Syama Sundar Rangapuram Huibin Shen Lorenzo Stella Xiyuan Zhang Mononito Goswami Shubham Kapoor Danielle C. Maddix Pablo Guerron Tony Hu Junming Yin Nick Erickson Prateek Mutalik Desai Hao Wang 0014 Huzefa Rangwala George Karypis Yuyang Wang 0001 Michael Bohlke-Schneider Chronos-2: From Univariate to Universal Forecasting. 2025 October abs/2510.15821 CoRR https://doi.org/10.48550/arXiv.2510.15821 db/journals/corr/corr2510.html#abs-2510-15821 streams/journals/corr

Abdul Fatir Ansari Lorenzo Stella Ali Caner Türkmen Xiyuan Zhang Pedro Mercado Huibin Shen Oleksandr Shchur Syama Sundar Rangapuram Sebastian Pineda-Arango Shubham Kapoor Jasper Zschiegner Danielle C. Maddix Hao Wang 0014 Michael W. Mahoney Kari Torkkola Andrew Gordon Wilson Michael Bohlke-Schneider Bernie Wang 0001 Chronos: Learning the Language of Time Series. 2024 2024 Trans. Mach. Learn. Res. https://openreview.net/forum?id=gerNCVqqtR db/journals/tmlr/tmlr2024.html#AnsariSTZMSSRPK24

Abdul Fatir Ansari Lorenzo Stella Ali Caner Türkmen Xiyuan Zhang Pedro Mercado Huibin Shen Oleksandr Shchur Syama Sundar Rangapuram Sebastian Pineda-Arango Shubham Kapoor Jasper Zschiegner Danielle C. Maddix Michael W. Mahoney Kari Torkkola Andrew Gordon Wilson Michael Bohlke-Schneider Yuyang Wang 0001 Chronos: Learning the Language of Time Series. 2024 abs/2403.07815 CoRR https://doi.org/10.48550/arXiv.2403.07815 db/journals/corr/corr2403.html#abs-2403-07815

Oleksandr Shchur Ali Caner Türkmen Nick Erickson Huibin Shen Alexander Shirkov Tony Hu Bernie Wang 0001 AutoGluon-TimeSeries: AutoML for Probabilistic Time Series Forecasting. 9/1-21 2023 AutoML https://proceedings.mlr.press/v224/shchur23a.html conf/automl/2023 db/conf/automl/automl2023.html#ShchurTESSH023

Mike Van Ness Huibin Shen Hao Wang 0014 Xiaoyong Jin Danielle C. Maddix Karthick Gopalswamy Cross-Frequency Time Series Meta-Forecasting. 2023 abs/2302.02077 CoRR https://doi.org/10.48550/arXiv.2302.02077 db/journals/corr/corr2302.html#abs-2302-02077

Sigrid Passano Hellan Huibin Shen François-Xavier Aubet David Salinas Aaron Klein Obeying the Order: Introducing Ordered Transfer Hyperparameter Optimisation. 2023 abs/2306.16916 CoRR https://doi.org/10.48550/arXiv.2306.16916 db/journals/corr/corr2306.html#abs-2306-16916

Oleksandr Shchur Ali Caner Türkmen Nick Erickson Huibin Shen Alexander Shirkov Tony Hu Yuyang Wang 0001 AutoGluon-TimeSeries: AutoML for Probabilistic Time Series Forecasting. 2023 abs/2308.05566 CoRR https://doi.org/10.48550/arXiv.2308.05566 db/journals/corr/corr2308.html#abs-2308-05566

Anastasia Makarova Huibin Shen Valerio Perrone Aaron Klein Jean Baptiste Faddoul Andreas Krause 0001 Matthias W. Seeger Cédric Archambeau Automatic Termination for Hyperparameter Optimization. 7/1-21 2022 AutoML https://proceedings.mlr.press/v188/makarova22a.html conf/automl/2022 db/conf/automl/automl2022.html#MakarovaSPKF0SA22 Valerio Perrone Huibin Shen Aida Zolic Iaroslav Shcherbatyi Amr Ahmed 0004 Tanya Bansal Michele Donini Fela Winkelmolen Rodolphe Jenatton Jean Baptiste Faddoul Barbara Pogorzelska Miroslav Miladinovic Krishnaram Kenthapadi Matthias W. Seeger Cédric Archambeau Amazon SageMaker Automatic Model Tuning: Scalable Gradient-Free Optimization. 3463-3471 2021 KDD https://doi.org/10.1145/3447548.3467098 conf/kdd/2021 db/conf/kdd/kdd2021.html#PerroneSZSABDWJ21

Anastasia Makarova Huibin Shen Valerio Perrone Aaron Klein Jean Baptiste Faddoul Andreas Krause 0001 Matthias W. Seeger Cédric Archambeau Overfitting in Bayesian Optimization: an empirical study and early-stopping solution. 2021 abs/2104.08166 CoRR https://arxiv.org/abs/2104.08166 db/journals/corr/corr2104.html#abs-2104-08166

David Salinas Huibin Shen Valerio Perrone A Quantile-based Approach for Hyperparameter Transfer Learning. 8438-8448 2020 ICML http://proceedings.mlr.press/v119/salinas20a.html conf/icml/2020 db/conf/icml/icml2020.html#SalinasSP20 Piali Das Nikita Ivkin Tanya Bansal Laurence Rouesnel Philip Gautier Zohar S. Karnin Leo Dirac Lakshmi Ramakrishnan Andre Perunicic Iaroslav Shcherbatyi Wilton Wu Aida Zolic Huibin Shen Amr Ahmed 0004 Fela Winkelmolen Miroslav Miladinovic Cédric Archambeau Alex Tang Bhaskar Dutt Patricia Grao Kumar Venkateswar Amazon SageMaker Autopilot: a white box AutoML solution at scale. 2:1-2:7 2020 DEEM@SIGMOD https://doi.org/10.1145/3399579.3399870 conf/sigmod/2020deem db/conf/sigmod/deem2020.html#DasIBRGKDRPSWZS20

Piali Das Valerio Perrone Nikita Ivkin Tanya Bansal Zohar S. Karnin Huibin Shen Iaroslav Shcherbatyi Yotam Elor Wilton Wu Aida Zolic Thibaut Liénart Alex Tang Amr Ahmed 0004 Jean Baptiste Faddoul Rodolphe Jenatton Fela Winkelmolen Philip Gautier Leo Dirac Andre Perunicic Miroslav Miladinovic Giovanni Zappella Cédric Archambeau Matthias W. Seeger Bhaskar Dutt Laurence Rouesnel Amazon SageMaker Autopilot: a white box AutoML solution at scale. 2020 abs/2012.08483 CoRR https://arxiv.org/abs/2012.08483 db/journals/corr/corr2012.html#abs-2012-08483

Valerio Perrone Huibin Shen Aida Zolic Iaroslav Shcherbatyi Amr Ahmed 0004 Tanya Bansal Michele Donini Fela Winkelmolen Rodolphe Jenatton Jean Baptiste Faddoul Barbara Pogorzelska Miroslav Miladinovic Krishnaram Kenthapadi Matthias W. Seeger Cédric Archambeau Amazon SageMaker Automatic Model Tuning: Scalable Black-box Optimization. 2020 abs/2012.08489 CoRR https://arxiv.org/abs/2012.08489 db/journals/corr/corr2012.html#abs-2012-08489

Valerio Perrone Huibin Shen Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning. 12751-12761 2019 NeurIPS https://proceedings.neurips.cc/paper/2019/hash/6ea3f1874b188558fafbab78e8c3a968-Abstract.html http://papers.nips.cc/paper/9438-learning-search-spaces-for-bayesian-optimization-another-view-of-hyperparameter-transfer-learning conf/nips/2019 db/conf/nips/nips2019.html#PerroneS19

Valerio Perrone Huibin Shen Matthias W. Seeger Cédric Archambeau Rodolphe Jenatton Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning. 2019 abs/1909.12552 CoRR http://arxiv.org/abs/1909.12552 db/journals/corr/corr1909.html#abs-1909-12552

David Salinas Huibin Shen Valerio Perrone A Copula approach for hyperparameter transfer learning. 2019 abs/1909.13595 CoRR http://arxiv.org/abs/1909.13595 db/journals/corr/corr1909.html#abs-1909-13595

Huibin Shen Machine Learning for Small Molecule Identification. 2017 Aalto University, Helsinki, Finland https://aaltodoc.aalto.fi/handle/123456789/24783 https://www.base-search.net/Record/5c8cf78071c82a791d39293134e46470dce8d435aa0e7b911501ebe156f928f1 base-search.net (ftaaltouniv:oai:aaltodoc.aalto.fi:123456789/24783)

Emma Schymanski Christoph Ruttkies Martin Krauss Céline Brouard Tobias Kind Kai Dührkop Felicity Allen Arpana Vaniya Dries Verdegem Sebastian Böcker Juho Rousu Huibin Shen Hiroshi Tsugawa Tanvir Sajed Oliver Fiehn Bart Ghesquière Steffen Neumann Critical Assessment of Small Molecule Identification 2016: automated methods. 22:1-22:21 2017 9 J. Cheminformatics 1 https://doi.org/10.1186/s13321-017-0207-1 https://www.wikidata.org/entity/Q29052362 db/journals/jcheminf/jcheminf9.html#SchymanskiRKBKD17

Céline Brouard Huibin Shen Kai Dührkop Florence d'Alché-Buc Sebastian Böcker Juho Rousu Fast metabolite identification with Input Output Kernel Regression. 28-36 2016 32 Bioinform. 12 https://doi.org/10.1093/bioinformatics/btw246 https://www.wikidata.org/entity/Q39679889 db/journals/bioinformatics/bioinformatics32.html#BrouardSDdBR16

Huibin Shen Sándor Szedmák Céline Brouard Juho Rousu Soft Kernel Target Alignment for Two-Stage Multiple Kernel Learning. 427-441 2016 DS https://doi.org/10.1007/978-3-319-46307-0_27 conf/dis/2016 db/conf/dis/dis2016.html#ShenSBR16

Huibin Shen Kai Dührkop Sebastian Böcker Juho Rousu Metabolite identification through multiple kernel learning on fragmentation trees. 157-164 2014 30 Bioinform. 12 https://doi.org/10.1093/bioinformatics/btu275 https://www.wikidata.org/entity/Q40750458 db/journals/bioinformatics/bioinformatics30.html#ShenDBR14

Markus Heinonen Huibin Shen Nicola Zamboni Juho Rousu Metabolite identification and molecular fingerprint prediction through machine learning. 2333-2341 2012 28 Bioinform. 18 https://doi.org/10.1093/bioinformatics/bts437 https://www.wikidata.org/entity/Q34344462 db/journals/bioinformatics/bioinformatics28.html#HeinonenSZR12

Amr Ahmed 0004 Felicity Allen Abdul Fatir Ansari Cédric Archambeau Francois-Xavier AubetFrançois-Xavier Aubet Andreas Auer Tanya Bansal Sebastian Böcker Michael Bohlke-Schneider Céline Brouard Florence d'Alché-Buc Piali Das Prateek Mutalik Desai Leo Dirac Michele Donini Kai Dührkop Bhaskar Dutt Yotam Elor Nick Erickson Jean Baptiste Faddoul Oliver Fiehn Philip Gautier Bart Ghesquière Karthick Gopalswamy Mononito Goswami Patricia Grao Pablo Guerron Boran Han Markus Heinonen Sigrid Passano Hellan Tony Hu Nikita Ivkin Rodolphe Jenatton Xiaoyong Jin Shubham Kapoor Zohar S. Karnin George Karypis Krishnaram Kenthapadi Tobias Kind Aaron Klein Andreas Krause 0001 Martin Krauss Jaris Küken Thibaut Liénart Danielle C. Maddix Michael W. Mahoney Anastasia Makarova Pedro Mercado Miroslav Miladinovic Mike Van Ness Steffen Neumann Valerio Perrone Andre Perunicic Sebastian Pineda-ArangoSebastian Pineda Arango Barbara Pogorzelska Lakshmi Ramakrishnan Syama Sundar Rangapuram Huzefa Rangwala Laurence Rouesnel Juho Rousu Christoph Ruttkies Tanvir Sajed David Salinas Emma Schymanski Matthias W. Seeger Hugo Senetaire Iaroslav Shcherbatyi Oleksandr Shchur Alexander Shirkov Lorenzo Stella Sándor Szedmák Alex Tang Kari Torkkola Hiroshi Tsugawa Ali Caner TürkmenCaner Turkmen Arpana Vaniya Kumar Venkateswar Dries Verdegem Hao Wang 0014 Yuyang Wang 0001Bernie Wang 0001 Andrew Gordon Wilson Fela Winkelmolen Wilton Wu Junming Yin Nicola Zamboni Giovanni Zappella Xiyuan Zhang Aida Zolic Jasper Zschiegner