Memento
Random matrix methods for high-dimensional machine learning models
Start date: 26.01.2024 17:15
Speaker: Antoine Philippe Michel BODIN Location: BC 420 Category: Thesis defenses Target audience: General public
Fast and Future: Towards Efficient Forecasting in Video Semantic Segmentation
Start date: 02.02.2024 15:00
Speaker: Evann Pierre Guy COURDIER Location: BC 410 , Online Category: Thesis defenses Target audience: General public
Aggregating Spatial and Photometric Context for Photometric Stereo
Start date: 02.02.2024 16:30
Speaker: David HONZÁTKO Location: BC 420 , Online Category: Thesis defenses Target audience: General public
Optimization Algorithms for Decentralized, Distributed and Collaborative Machine Learning
Start date: 16.02.2024 16:30
Speaker: Anastasiia KOLOSKOVA Location: BC 420 Category: Thesis defenses Target audience: General public
Understanding and Enhancing Digital Wellbeing Dimensions: Empirical Studies on Smartphone Usage Patterns and Recommendations of Micro-Informative Content
Start date: 07.03.2024 17:00
Speaker: Rania ISLAMBOULI Location: CM 1 5 Category: Thesis defenses Target audience: General public
To Infinity, and Beyond (Coverage)
Start date: 08.03.2024 15:00
Speaker: Ahmad HAZIMEH Location: BC 420 Category: Thesis defenses Target audience: General public
Formal Foundations of Capture Tracking
Start date: 11.03.2024 17:00
Speaker: Aleksander Slawomir BORUCH-GRUSZECKI Location: BC 420 , Online Category: Thesis defenses Target audience: General public
Automated Formal Verification of Software Network Functions
Start date: 21.03.2024 17:00
Speaker: Solal Vincenzo PIRELLI Location: BC 420 , Online Category: Thesis defenses Target audience: General public
Extensions of Peer Prediction Incentive Mechanisms
Start date: 08.04.2024 11:00
Speaker: Adam Julian RICHARDSON Location: INF 219 Category: Thesis defenses Target audience: General public
Scalable constrained optimization
Start date: 18.04.2024 16:00
Speaker: Maria-Luiza VLADAREAN Location: BC 420 , Online Category: Thesis defenses Target audience: General public
