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Learning Machines seminars – arkiv 2022

Arkiv Learning Machines seminarier 2022. Alla seminarier är på engelska.

December

(Klicka på seminarietiteln för mer information och video)

2022-12-08: William Lidberg, Swedish University of Agricultural Sciences

Geographical intelligence

2022-12-01: Sara Beery, MIT

Auto Arborist: Towards Mapping Urban Forests Across North America.

November

(Klicka på seminarietiteln för mer information och video)

2022-11-24: Viktor Larsson, Lunds tekniska högskola. 

Mapping and Localization for AR

2022-11-10: Frederik Kratzert, Google

Long Short-Term Memory networks (LSTMs) for rainfall-runoff modeling

 

Oktober

2022-10-27: Modeling and controlling turbulent flows through deep learning

Talare: Ricardo Vinuesa, KTH Royal Institute of Technology

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2022-10-20: Compositional, structured, and interpretable models

Talare:  Hedvig Kjellström, KTH

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2022-10-13: Zero-waste machine learning.

Talare: Tomasz Trzciński,  Warsaw University of Technology

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September

2022-09-29: Translations as semantic mirrors – Representation learning with multilingual data.

Talare: Jörg Tiedermann, University of Helsinki

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2022-09-08: SoundStream: an end-to-end neural audio codec.

Talare: Neil Zeghidour, Google Brain Paris

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2022-09-01: Horses, pain and temporal information: Learning video features in low-data and fine-grained action recognition.

Talare: Sofia Broomé, KTH

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Juni

2022-06-02: Improving retrievals of clouds and precipitation using machine learning.

Talare: Simon Pfreundschuh, Chalmers tekniska högskola

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Maj

2022-05-19: Technical language supervision.

Talare: Marcus Liwicki, Fredrik Sandin, and Karl Ekström, Luleå tekniska universitet

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2022-05-12: On uncertainty in machine learning

Talare: Fredrik Lindsten, Linköpings universitet

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2022-05-05: Fine-grained controllable text generation using non-residual prompting

Talare: Fredrik Carlsson, RISE Research Institutes of Sweden.

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April

2022-04-28:  Formulating flexible probabilistic models.

Talare: Thomas Schön, Uppsala universitet

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2022-04-21:  Stream temperature forecasts using process-guided deep learning and data assimilation in support of management decisions. 

Talare: Jake Zwart, U.S. Geological Survey

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2022-04-07: Characterizing and addressing the issue of oversmoothing in neural autoregressive sequence modeling

Talare: . KyungHyun Cho,  New York University 

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Mars

2022-03-31: Linear Regions of Deep Neural Networks.

Talare: Martin Trimmel, Lunds universitet

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2022-03-24: The issue with understanding language from text alone: an overview and potential solutions

Talare: Lovisa Hagström, Chalmers

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2022-03-17: Microstructures and mass transport in porous materials - combining physics, statistics, and machine learning.

Talare: Magnus Röding, RISE

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2022-03-10: Molecular Property Prediction Using Few-Shot Learning Techniques.

Talare: Megan Stanley, Microsoft Research Cambridge

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Februari

2022-02-24: Deep models of animal listening perceptual tasks

Talare: Dan Stowell

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2022-02-10 Machine learning for experimental chemical and physical analysis.

Talare: Jerk Rönnols, RISE

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2022-02-03: Zero-shot learning: Harnessing text descriptions to learn unseen visual classes. 

Talare: Josephine Sullivan, KTH

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Januari

2022-01-27 AI and Climate change

Talare: Aleksis Pirinen, RISE

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2022-01-20 Monitoring noise, machinery, and processes using sound and machine learning.

Talare: Jon Nordby, Soundsensing

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2022-01-13 Head in the clouds? Why decision making is hard

Talare: Andrew Jesson, PhD student at University of Oxford. 

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