Learning Machines Seminars

Weekly presentations on current topics in machine learning research. Meet people and listen to AI experts at RISE as well as invited speakers from academia and industry.

Due to Covid-19, the seminar series is currently completely virtual. Join our video presentations at Zoom, on Thursdays at 15. We hope that the situation will be under control as soon as possible so that we can resume our seminars at our premises in Stockholm and Gothenburg, where we always combine our seminars with coffee and cinnamon rolls!

Connect with Zoom at this link: https://rise.zoom.us/j/208117140

Upcoming seminars:

• 2021-09-23: Nishat Mowla, RISE. The role of AI/ML for the cybersecurity evolution: A brief review and challenges ahead.
• 2021-09-30: Anders Holst, RISE & KTH. Title TBA.
• 2021-10-14: Alan Said, University of Gothenburg. What we talk about when we talk about recommender systems. A brief and biased overview.
• 2021-10-21: Nikunj Saunshi, Princeton University, Theory for self-supervised learning and language models
• 2021-10-28: Maria Bånkestad, RISE & Uppsala University. Variational inference overview talk.
• 2021-11-11: Per Krueger, RISE, and Diarmuid Corcoran, Ericsson. Title TBA.
• 2021-12-09: Arman Rahbar, Chalmers University of Technology. Title TBA.

Previous seminars:

All recorded seminars have also been put into a YouTube playlist

• 2021-09-16: Learning Machines Flash Talks: 5 ML papers by 5 speakers in 5² minutes.
• 2021-09-09: Björn Gambäck, RISE&NTNU. Hate speech in social media.
• 2021-06-10: Debabrota Basu, Inria: SENTINEL: Quantifying Composite Uncertainty and Its Application in Risk-sensitive Reinforcement Learning (YouTube)
• 2021-05-27: Alireza Salehi, RISE: Biochemical Analysis and Metabolomics study of Biofluids: Combination of Omics data and Patients information
• 2021-05-20: Divya Grover, Chalmers University of Technology: Sample Efficient Bayesian Reinforcement Learning (YouTube)
• 2021-05-06: Rajkumar Saini, Luleå University of Technology: Electroencephalography (EEG) in various applications
• 2021-04-22: Aleksis Pirinen, Lund University, Intro to Policy-Based RL and Applications in Computer Vision (YouTube)
• 2021-04-29: Ariel Ekgren, RISE: (Art from the weights), CLIP: Connecting text and images (YouTube)
• 2021-04-15: Rami Mochaourab, RISE: Robust explanations for private support vector machines (YouTube)
• 2021-04-08: Easter break: No seminar this week
• 2021-04-01: Han Wang, RISE: Federated Learning for IoT Security (slides)
• 2021-03-25: Learning Machines Flash Talks
• 2021-03-18: Daniel F. Perez-Ramirez, RISE: Introduction and recent advances on graph representation learning (YouTube)
• 2021-03-11: Maria Bånkestad, RISE/Uppsala University: Geometric deep learning with graph neural networks (YouTube) (slides)
• 2021-02-25: Sepideh Pashami, RISE/Halmstad University: Causal-Aware Machine Learning (YouTube)
• 2021-02-11: Jesper Derehag, Ericsson: Machine learning in practice – the engineering perspective (YouTube)
• 2021-02-04: Olof Görnerup, RISE: Evolution in natural and artificial systems
• 2021-01-28: Marinos Koutsomichalis, Technological University of Cyprus: Non-solutionist and Post-optimal approaches to AI Research
• 2021-01-21: Learning Machines Flash Talks

2020 seminars:

• 2020-12-10: Zekarias Tilahun, KTH: Dynamic Embeddings for Interaction Prediction (YouTube)
• 2020-12-03: Learning Machines Flash Talks
• 2020-11-26: Rickard Brännvall, RISE: Machine learning with homomorphic encryption
• 2020-11-19: Edvin Listo Zec, RISE: Promises and challenges of federated learning (YouTube) (slides)
• 2020-11-12: Erik Ylipää, RISE: Unsquared Transformers (YouTube)
• 2020-11-05: Olof Mogren, RISE: Uncertainty in deep learning (YouTube) + (Slides)  
• 2020-10-22: Fredrik Carlsson, RISE: State of the art Sentence Embeddings with Contrastive Tension (YouTube)
• 2020-10-15: Leon René Sütfeld, RISE: Deep Reinforcement Learning: Applications in Traffic Light Control