diff --git a/courses/swuv.md b/courses/swuv.md index 79362fdd7b7f0ca3b80eda2949d49135f586397c..d2ea3bd3855adee9bb65de912603def7e718b485 100644 --- a/courses/swuv.md +++ b/courses/swuv.md @@ -58,7 +58,7 @@ If we need to do it via zoom, we will use the following room: | | | | (moved to June 26th) | | 12. 06. 2024 | Wenwen Wang | Choose Your Colour: Tree Interpolation for Quantified Formulas in SMT || | | Ilias Anwari | The Eye in Extended Reality: A Survey on Gaze Interaction and Eye Tracking in Head-worn Extended Reality || -| | Moiz Riaz | A Proof-Producing Compiler for Blockchain Applications | +| | Moiz Riaz | A Proof-Producing Compiler for Blockchain Applications | (moved to July 3rd) | 19. 06. 2024 | Priyanka Singh | Large Language Models as Knowledge Bases? / Find The Gap: Knowledge Base Reasoning For Visual Question Answering || | | Malika Tillaeva | Caminati, Isabelle Formalisation of Original Representation Theorems | | | Muqaddas Ramzan | Now It Compiles!: Certified Automatic Repair of Uncompilable Protocols | @@ -68,9 +68,11 @@ If we need to do it via zoom, we will use the following room: | 03. 07. 2024 | Annick Faal | Differential Evolution Algorithm Based on DBSCAN-FR Clustering Method || | | Marius Lin | Can Large Language Models be too big? | | | Md Redwan Hossain | An Experimental Pipeline for Automated Reasoning in Natural Language | +| | Moiz Riaz | A Proof-Producing Compiler for Blockchain Applications | (moved from June 12th) | 10. 07. 2024 | Ali Kodera | TBA | (research) | | | Shamseldin Elkhatib | TBA | (research) | | | Vatsal Bambhania | DeepOnto: A Python Package for Ontology Engineering with Deep Learning || +| | Shokoofeh Kheirdastan | Explainable convolutional neural networks for assessing head and neck cancer histopathology. || | 17. 07. 2024 | David Meier | Evasiveness Through Binary Decision Diagrams (Jesús Aransay, Laureano Lambán, and Julio Rubio) | | | | Johannes Hoang | GeoGebra Discovery / Automated reasoning tools in GeoGebra Discovery | | | | Bhupali Chakraborty | Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks |