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Learning Machines seminars – jan-may 2022

Archive Learning Machines Seminars January 2022

May

2022-05-19: Technical language supervision.

Speaker: Marcus Liwicki, Fredrik Sandin, and Karl Ekström, Luleå Technical university

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2022-05-12: On uncertainty in machine learning

Speaker: TFredrik Lindsten, Linköpings university

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

Speaker: Fredrik Carlsson, RISE Research Institutes of Sweden.

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April

2022-04-28:  Formulating flexible probabilistic models.

Speaker: 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. 

Speaker: 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

Speaker: KyungHyun Cho,  New York University 

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March

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

Speaker: Martin Trimmel, Lund University

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

Speaker: Lovisa Hagström, Chalmers

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

Speaker: Magnus Röding, RISE

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

Speaker: Megan Stanley, Microsoft Research Cambridge

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February

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

Speaker: Dan Stowell

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

Speaker: Jerk Rönnols, RISE

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

Speaker: Josephine Sullivan, KTH

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Januari

2022-01-27 AI and Climate change

Speaker: Aleksis Pirinen, RISE

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

Speaker: Jon Nordby, at Soundsensing

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

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

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