Learning machines seminars – previous seminars

2025

May

2025-05-22: John Martinsson, RISE and Lund University
Efficient and precise annotation of local structures in data

2025-05-15: Peter Dueben, European Centre for Medium-Range Weather Forecasts
The digital revolution of Earth system modelling

2025-05-08: Ghjulia Sialelli, ETH Zurich
SatML for large-scale above-ground biomass estimation

April

2025-04-10: Beici Liang, Epidemic sound
Protecting music copyrights with MIR and AI

2025-04-03: Abdul Shaamala, Queensland University of Technology
Optimising green infrastructure for climate-resilient cities

March

2025-03-27: María J. Molina, University of Maryland
Machine learning for Earth system prediction and predictability

2025-03-20: Oriol Nieto, Adobe
GenAI for sound design

2025-03-13: Sherrie Wang, MIT
Reliable conclusions from remote sensing maps

2025-03-06: Atakan Aral, University of Vienna
Edge AI and IoT-Driven Water Quality Monitoring

February

2025-02-20: Abdulhakim Abdi, Lund University
Tech-informed nature conservation - are we there yet?

2025-02-06: Benjamin Cretois, Norwegian Institute for Nature Research
Leveraging AI for Large-Scale Acoustic Biodiversity Monitoring: Insights from TABMON

January

2025-01-30: Amal Nammouchi, Karlstad University and AfriClimate AI
Leveraging AI for Climate Resilience in Africa

2025-01-23: Newton Mwai Kinyanjui, Chalmers University of Technology
Improving treatment personalization with structures in sequential decision making

2025-01-16: Oscar Täckström, Sana Labs
From Enterprise Search to Intelligent Agents

2024

November

2024-11-28: Alireza Taheri Dehkordi, Lund University
Estimation of water quality parameters using remote sensing data and machine learning models

2024-11-21: Alp Kucukelbir, Columbia University
Artificial Intelligence for Climate Change Mitigation

2024-11-07: Joel Oskarsson, Linköping University
Frontiers in machine learning for weather forecasting

October

2024-10-24: Ankit Kariryaa, University of Copenhagen
Deep Learning for digital twins of individual trees

2024-10-17:  Matthias Obst, University of Gothenburg
Digital Twins & observation systems for monitoring marine biodiversity and change

2024-10-03: Jakob Ambsdorf, University of Copenhagen
Medical image analysis with limited labels

September

2024-09-26: Charlie Fieseler, University of Vienna
How to build a brain

2024-09-19 Mélisande Teng, MILA and Universite de Montreal
Species distribution modeling using remote sensing and citizen science data

2024-09-05: Smita Chakraborty, RISE
AI-SAXS: – Decoding Structural Complexity with Intelligent Scattering Analysis

May

2024-05-30: Jonas Hentati Sundberg, Swedish University of Agricultural Sciences
Sensors and AI in seabird research and monitoring

2024-05-23: Shruti Nath, University of Oxford and Climate Analytics
Monthly climate model emulators: lightweight tools for agile exploration of future climate uncertainties. 

2024-05-16: Mikolaj Czerkawski, European Space Agency
Geographical Guidance in the Era of Large-Scale Earth Observation Data and AI

April

2024-04-18: Tobias Andermann, Uppsala University
Spatial biodiversity modeling with remote sensing and AI

2024-04-11: Alouette van Hove, University of Oslo
Guiding drones by information gain

2024-04-04: Karsten Kreis, NVIDIA Toronto AI Lab (16:00)
Visual Generative AI with Diffusion Models – From Static Pixels to Video, 3D and 4D Synthesis

March

2024-03-28: Yonghao Xu, Linköping University
Machine learning for remote sensing

2024-03-21: Fredrik Gustafsson, Karolinska Institutet
How reliable is your regression model’s uncertainty under real-world distribution shifts?

2024-03-14: Santiago Martinez Balvanera, University College London
Data-driven bat monitoring: leveraging machine learning for effective solutions

February

2024-02-22: Alexander Mathis, EPFL
Measuring behavior and modeling the brain with machine learning

January

2024-01-25: Joakim Lindblad, Uppsala University
Trustworthy AI-based decision support in cancer diagnostics

2024-01-18: Serge Belongie, University of Copenhagen
Challenges in Fine-Grained Image Analysis

2023

December

2023-12-07: Stefan Bauer, TU Munich
Neural causal models

November

2023-11-30: Ben Weinstein, University of Florida
General Models for Airborne Wildlife Detection

2023-11-23: Alisa Devlic, Sony AI
Superhuman racing AI through deep reinforcement learning

2023-11-16: Jonas Hellgren, RISE
Reinforcement learning - theory and applications

2023-11-09: Nataša Sladoje, Uppsala University
Automated alignment of multimodal images: To (deep) learn – or not?

2023-11-02: Priya L. Donti, MIT and Climate Change AI
Optimization-in-the-loop ML for energy and climate

October

2023-10-19: Valentin De Bortoli, Google Deepmind
Diffusion Schrödinger Bridge Matching

2023-10-05: Klaus-Robert Müller, TU Berlin
Machine Learning and AI for the Sciences — Towards Understanding

September

2023-09-28: Johan Östman, AI Sweden
The reality of federated learning: from life sciences to finance and beyond

2023-09-21: Nico Lang, University of Copenhagen
Global vegetation monitoring with probabilistic deep learning

2023-09-14: Virginia Smith, CMU
Evaluating Large-Scale Learning Systems

2023-09-07: Adam Breitholtz, Chalmers University of Technology
Unsupervised domain adaptation by learning using privileged information

August

2023-08-31: Zahra Taghiyar Renan, Halmstad University
From domain adaptation to federated learning

May

2023-05-25: Puzhao Zhang, KTH
Remote Sensing for Wildfire using Deep Learning

2023-05-11: Jonathan Sauder, École polytechnique fédérale de Lausanne (EPFL)
Unsupervised 3D Mapping from Video

2023-05-04: Ida Arvidsson, Lund University
Applications of AI in Medical Image Analysis

April

2023-04-27: Pontus Stenetorp, University College London (UCL)
LLMs and Future of NLP

2023-04-20: Rico Sennrich, University of Zurich
Knowledge Transfer Across Languages and Modalities

2023-04-13: Elijah Cole, Caltech
Learning from real-world data

March

2023-03-23: Gabrielle Flood, Lund University
Motion Maps with Statistical Deformations

2023-03-16: Stefanos Georganos, Karlstad University/KTH
Filling the gaps: AI and Earth Observation

2023-03-09: Shay Cohen, University of Edinburgh
Summarization with Latent Structure, Context Factors and Quantitative Precision

February

2023-02-23: Alexander Ilin, Aalto University
Hierarchical Imitation Learning with Vector Quantized Models

2023-02-09: Joakim Nivre, Erik Ylipää, and Olof Mogren, RISE
ChatGPT and other large language models 

2023-02-02: Vincent Szolnoky, Chalmers
Model Gradient Similarity

January

2023-01-26: Lena Voita, FAIR
Interpretability in NLP

2023-01-19: Giulia Fanti, Carnegie Mellon University
Communication Complexity of Federated Learning

2023-01-12: Mark D. Plumbley, University of Surrey: AI for Sound
AI for Sound

 Archive 2022