Helge Pfeiffer will give a talk about his work on On the Energy Consumption of Various Versions of CPython. Details below. SPEAKER Helge Pfeiffer, Prof., ITU. TITLE On the Energy Consumption[…]
Esther Hahyeon Kim will give a talk about her work on Compositional control synthesis for water management system. Details below. SPEAKER Esther Hahyeon Kim, PhD Fellow, AAU. TITLE Compositional control synthesis[…]
Marco Carbone will give a talk about his work on A Probabilistic Choreography Language for PRISM. Details below. SPEAKER Marco Carbone, Prof., ITU. TITLE A Probabilistic Choreography Language for PRISM ABSTRACT[…]
Mossa Merhi Reimert will give a talk about his work on ExtendR: Seamless integration of R & Rust. Details below. SPEAKER Mossa Merhi Reimert, PhD Fellow. TITLE ExtendR: Seamless integration of[…]
Daniel Varro will give a talk about his work on Automated Graph Generation for the Assurance of Software-intensive Cyber-Physical Systems. Details below. SPEAKER Daniel Varro, Prof., MCGill. TITLE Automated Graph Generation[…]
Rasmus Rønneberg will give a talk about his work on Exact and Efficient Bayesian Inference for Privacy Risk Quantification. Details below. SPEAKER Rasmus C. Rønneberg, PhD fellow, KIT. TITLE Exact and[…]
Adrian Hoff will give a talk about his work on Preparing Software Re-Engineering via Freehand Sketches in Virtual Reality. SPEAKER Adrian Hoff, PhD fellow, ITU. TITLE Preparing Software Re-Engineering via Freehand[…]
Luiza Ribeiro Marnet will give a talk about her work on Vision-Based Classification for Underwater Safety-Critical Applications: A Predictive Uncertainty Study. This is a dry run for a PhD thesis proposal
Isabella Harries Magnusdóttir, Kristian Berlin Jensen, and Lukas Lykkeskov Hjelmstrand will give a talk about their work on A Study of the Effect of Differential Privacy on Bias. This is a[…]
Mohsen Ghaffari will give a talk about his work on Symbolic Reinforcement Learning. Details below. SPEAKER Mohsen Ghaffari, PhD fellow, ITU. TITLE Symbolic Reinforcement Learning ABSTRACT Reinforcement learning is a type[…]