Outreach
Media Coverage
- Eksperter har udregnet Chat GPT’s elregning, Børsen, (Danish newspaper), July 2023. (link)
- Der Energiehunger der KIs, Süddeutsche Zeitung (German newspaper), April 2023 (link) (pdf)
- Taming AI models to minimize their impact on climate, June 2023, (link) (pdf)
- These simple changes can make AI research much more energy efficient, MIT Technology Review (2022) (link)
- Insect wingbeats will help quantify biodiversity, UCPH Press Release (2022) (link)
- Algorithm reveals the mysterious foraging habits of narwhals, UCPH Press Release (2021) (link)
Students develop tool to predict the carbon footprint of algorithms, UCPH Press Release (2020) (link)
- Columns for The Hindu
- Building an image classifier for sorting images, The Hindu (2022) (link)
Select Invited Talks
- 2023
- “Representation Learning with Graph Neural Networks”, Invited Talk at 3rd GraphNeT Workshop, Bornholm, Denmark, 2023 (slides)
- “Representation learning in Medical Image Analysis”, Invited Talk at Chalmers University, Sweden, 2023
- “On the Carbon Footprint of Deep Learning”, Invited Talk at Chalmers University, Sweden, 2023
- “Resource Efficient ML: A Carbon Footprint view of Deep Learning”, Invited Talk at IT University, Denmark, 2023
- “Carbon Footprint of Deep Learning”, Invited Talk at the ROS AI Workgroup (Online), 2023
- “Resource Efficient ML: A Carbon Footprint view of Deep Learning”, Invited Talk at SINTEF, Oslo, Norway, 2023
- “Graph Neural Networks: From Spectral Graph Processing to Self-Attention and Beyond”, Invited Talk in the Seminar on AI Meets Complex Knowledge Structures, Oslo, Norway, 2023
- 2022
- “Quantum Tensor Networks for Medical Image Analysis”, Guest Lecture at MSc course on Medical Image Analysis, UCPH, 2022
- “Behavioural Analysis with Big Data and Deep Learning”, Guest Lecture at PhD course on Animal Models of Disease, UCPH, 2022
- “Identifying Partial Mouse Brain Microscopy Images from the Allen Reference Atlas Using a Contrastively Learned Semantic Space”, Oral Presentation at Workshop on Biomedical Image Registration, 2022 (video)
- “Machine Learning for Biomedical Image Analysis”, Guest Lecture at Center for Advanced Bioimaging Summer School, 2022
- “Quantum Tensor Networks for Medical Image Analysis”, Centre for the Mathematics of Quantum Theory, University of Copenhagen, Denmark
- 2021
- “Deep Learning for Medical Image Analysis”, Guest Lecture, Jönköping University, Sweden
- “Exploring Sustainability of ML/AI, With Carbontracker as an example”, 50 year celebration event of Dept. of Computerscience, UCPH, Denmark
- “ML for Chemistry”, Datascience for Chemistry PhD course, University of Copenhagen, Denmark
- “Graph Neural Networks”, DIKU/DTU/AAU Summer School on Geometric Deep Learning, Vejle, Denmark (slides) (video)
- ``Graph refinement based airway extraction”, University of Iowa (virtual)
- ``Carbon footprint driven deep learning model selection for medical imaging”, MIDL 2021, (video)
- ``Segmenting two-dimensional structures with strided tensor networks”, IPMI 2021, (video)
- “Quantum Tensor Networks for Medical Image Analysis”, Frederich-Alexander University, Erlangen-Nuremberg, Germany (virtual) (slides) (video)
- “Quantum Tensor Networks for Medical Image Analysis”, Weill Cornell Medicine and Cornell-IthacaUniversity, USA (virtual)
- 2020
- “Extraction of Airways from volumetric data”, Radboud University Medical Center, The Netherlands, (slides)
- “Uncertainty quantification in medical image segmentation using normalizing flows”, International workshop on Machine Learning in Medical Imaging, (MLMI 2020), (video)
- “Tensor networks for medical image classification”, International conference of Medical Imaging with Deep Learning (MIDL 2020), (slides) (video)
- “Machine learning for Medical Image Analysis”, Alumni Talk @ BMS Institute of Technology. Also at SIT, Tumkur (video)
- “Inclusive AI”, Free Software Movement - Karnataka
- 2019
- “Cell Imaging and Analysis using Machine Learning”, Summer School in Advanced Live Cell Imaging, UCPH
- “Features for Image Analysis”, Danish Meteorological Institute (slides)
- “Graph Refinement based Airway Extraction using Mean-Field and Graph Neural Networks”, Department of Computer Science, Aalto University School of Science (slides)
- 2018
- 2017
- 2016
- 2015
- “Bayesian tracking of multiple point targets Using Expectation Maximization”, MSc defence, Chalmers University (slides)