Microsoft Research-Cambridge University Machine Learning Initiative

A Foundation Model for the Earth System

Cristian Bodnar, Wessel Bruinsma, Ana Lucic, Megan Stanley, Anna Allen, Johannes Brandstetter, Patrick Garvan, Maik Riechert, Jonathan Weyn, Haiyu Dong, Anna Vaughan, Jayesh Gupta, Kit Thambiratnam, Alex Archibald, Chun-Chieh Wu, Elizabeth Heider, Max Welling, Richard Turner, Paris Perdikaris

Nature | May 2025, 第 641 卷: pp. 1180-1187

Publication Publication 视频 下载 项目

Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks

Samyadeep Basu, Megan Stanley, John Bronskill, Soheil Feizi, Daniela Massiceti

2023 International Conference on Learning Representations | May 2023

Publication 项目

NP-Match: When Neural Processes meet Semi-Supervised Learning

Jianfeng Wang, Thomas Lukasiewicz, Xiaolin Hu, Daniela Massiceti, Vladimir Pavlovic, Alexandros Neophytou

ICML 2022 | July 2022

Publication 项目 项目

Memory Efficient Meta-Learning with Large Images

John Bronskill, Daniela Massiceti, Massimiliano Patacchiola, Katja Hofmann, Richard Turner

NeurIPS 2021 | December 2021

Publication Github 项目

ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition

Daniela Massiceti, Luisa Zintgraf, John Bronskill, Lida Theodorou, Matthew Tobias Harris, Ed Cutrell, Cecily Morrison, Katja Hofmann, Simone Stumpf

ICCV 2021 | October 2021

Publication Github 项目 项目

DIVINE: Diverse Influential Training Points for Data Visualization and Model Refinement

Umang Bhatt, Isabel Chien, Muhammad Bilal Zafar, Adrian Weller

July 2021

Publication

Results and Insights from Diagnostic Questions: The NeurIPS 2020 Education Challenge

Zichao Wang, Angus Lamb, Evgeny Saveliev, Yordan Zaykov, Pashmina Cameron, Jose Miguel Hernandez-Lobato, Richard E. Turner, Richard G. Baraniuk, Simon Peyton Jones, Craig Barton, Simon Woodhead, Cheng Zhang

NeurIPS Competition | April 2021

To appear in PMLR proceeding of NeurIPS competition

Preprint 项目

A Foundation Model for the Earth System

Cristian Bodnar, Wessel Bruinsma, Ana Lucic, Megan Stanley, Anna Allen, Johannes Brandstetter, Patrick Garvan, Maik Riechert, Jonathan Weyn, Haiyu Dong, Anna Vaughan, Jayesh Gupta, Kit Thambiratnam, Alex Archibald, Chun-Chieh Wu, Elizabeth Heider, Max Welling, Richard Turner, Paris Perdikaris

Nature | May 2025, 第 641 卷: pp. 1180-1187

Publication Publication 视频 下载 项目

Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks

Samyadeep Basu, Megan Stanley, John Bronskill, Soheil Feizi, Daniela Massiceti

2023 International Conference on Learning Representations | May 2023

Publication 项目

NP-Match: When Neural Processes meet Semi-Supervised Learning

Jianfeng Wang, Thomas Lukasiewicz, Xiaolin Hu, Daniela Massiceti, Vladimir Pavlovic, Alexandros Neophytou

ICML 2022 | July 2022

Publication 项目 项目

Memory Efficient Meta-Learning with Large Images

John Bronskill, Daniela Massiceti, Massimiliano Patacchiola, Katja Hofmann, Richard Turner

NeurIPS 2021 | December 2021

Publication Github 项目

ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition

Daniela Massiceti, Luisa Zintgraf, John Bronskill, Lida Theodorou, Matthew Tobias Harris, Ed Cutrell, Cecily Morrison, Katja Hofmann, Simone Stumpf

ICCV 2021 | October 2021

Publication Github 项目 项目

DIVINE: Diverse Influential Training Points for Data Visualization and Model Refinement

Umang Bhatt, Isabel Chien, Muhammad Bilal Zafar, Adrian Weller

July 2021

Publication

Results and Insights from Diagnostic Questions: The NeurIPS 2020 Education Challenge

Zichao Wang, Angus Lamb, Evgeny Saveliev, Yordan Zaykov, Pashmina Cameron, Jose Miguel Hernandez-Lobato, Richard E. Turner, Richard G. Baraniuk, Simon Peyton Jones, Craig Barton, Simon Woodhead, Cheng Zhang

NeurIPS Competition | April 2021

To appear in PMLR proceeding of NeurIPS competition

Preprint 项目

Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks

Samyadeep Basu, Megan Stanley, John Bronskill, Soheil Feizi, Daniela Massiceti

2023 International Conference on Learning Representations | May 2023

Publication 项目

NP-Match: When Neural Processes meet Semi-Supervised Learning

Jianfeng Wang, Thomas Lukasiewicz, Xiaolin Hu, Daniela Massiceti, Vladimir Pavlovic, Alexandros Neophytou

ICML 2022 | July 2022

Publication 项目 项目

ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition

Daniela Massiceti, Luisa Zintgraf, John Bronskill, Lida Theodorou, Matthew Tobias Harris, Ed Cutrell, Cecily Morrison, Katja Hofmann, Simone Stumpf

ICCV 2021 | October 2021

Publication Github 项目 项目

ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition

Daniela Massiceti, Luisa Zintgraf, John Bronskill, Lida Theodorou, Matthew Tobias Harris, Ed Cutrell, Cecily Morrison, Katja Hofmann, Simone Stumpf

ICCV 2021 | October 2021

Publication Github 项目 项目

A Foundation Model for the Earth System

Cristian Bodnar, Wessel Bruinsma, Ana Lucic, Megan Stanley, Anna Allen, Johannes Brandstetter, Patrick Garvan, Maik Riechert, Jonathan Weyn, Haiyu Dong, Anna Vaughan, Jayesh Gupta, Kit Thambiratnam, Alex Archibald, Chun-Chieh Wu, Elizabeth Heider, Max Welling, Richard Turner, Paris Perdikaris

Nature | May 2025, 第 641 卷: pp. 1180-1187

Publication Publication 视频 下载 项目

Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks

Samyadeep Basu, Megan Stanley, John Bronskill, Soheil Feizi, Daniela Massiceti

2023 International Conference on Learning Representations | May 2023

Publication 项目

NP-Match: When Neural Processes meet Semi-Supervised Learning

Jianfeng Wang, Thomas Lukasiewicz, Xiaolin Hu, Daniela Massiceti, Vladimir Pavlovic, Alexandros Neophytou

ICML 2022 | July 2022

Publication 项目 项目

Memory Efficient Meta-Learning with Large Images

John Bronskill, Daniela Massiceti, Massimiliano Patacchiola, Katja Hofmann, Richard Turner

NeurIPS 2021 | December 2021

Publication Github 项目

ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition

Daniela Massiceti, Luisa Zintgraf, John Bronskill, Lida Theodorou, Matthew Tobias Harris, Ed Cutrell, Cecily Morrison, Katja Hofmann, Simone Stumpf

ICCV 2021 | October 2021

Publication Github 项目 项目

Results and Insights from Diagnostic Questions: The NeurIPS 2020 Education Challenge

Zichao Wang, Angus Lamb, Evgeny Saveliev, Yordan Zaykov, Pashmina Cameron, Jose Miguel Hernandez-Lobato, Richard E. Turner, Richard G. Baraniuk, Simon Peyton Jones, Craig Barton, Simon Woodhead, Cheng Zhang

NeurIPS Competition | April 2021

To appear in PMLR proceeding of NeurIPS competition

Preprint 项目

DIVINE: Diverse Influential Training Points for Data Visualization and Model Refinement

Umang Bhatt, Isabel Chien, Muhammad Bilal Zafar, Adrian Weller

July 2021

Publication