Event Content - (L)

First Letter

5 (1) | A (34) | B (16) | C (24) | D (29) | E (29) | F (9) | G (4) | H (7) | I (20) | K (7) | L (17) | M (21) | N (16) | O (13) | P (23) | R (19) | S (24) | T (33) | U (2) | V (7) | W (6) | Z (1) | Β (1)

	Nov 11, 12:00 - 13:00, Langevin Monte Carlo as an optimization algorithm (B9 L2 H1 R2322), Adil Salim, Postdoctoral Research Fellow, Computer Science	Langevin Monte Carlo, machine learning, optimization, Graduate Seminar
	Feb 4, 13:00 - 14:00, Large-scale Text and Data Integration for Cancer Genomics Research (B19 L3 H2), Prof. D, Rebholz-Schuhmann (University Cologne, Germany)	cancer research, data mining, genomics, semantic technologies, text mining, Seminar
	Feb 23, 15:00 - 16:30, Large-Scale Visualization of Scientific Data (KAUST), Markus Hadwiger, Professor, Computer Science	data visualisation, Public Colloquium
	Aug 31, 12:00 - 13:00, Large-Scale Visualization of Scientific Data: Volume Data and Flow Fields - 2020-08-31 (KAUST), Markus Hadwiger, Professor, Computer Science	Graduate Seminar
	Aug 30, 12:00 - 13:00, Large-Scale Visualization of Scientific Data: Volume Data and Flow Fields - 2021-08-30 (B9 R2322 H1), Markus Hadwiger, Professor, Computer Science	Graduate Seminar
	Apr 17, 17:30 - 18:30, Latent Space Manipulation of GANs for Seamless Image Compositing (B5 L5 R5220), Anna Fruehstueck, Ph.D., Computer Science	Generative Adversarial Networks, image synthesis, texture synthesis, PhD Dissertation Defense
	Apr 1, 11:30 - 12:30, Learned Imaging Systems (B9 L2 H2), Wolfgang Heidrich, Professor, Computer Science	Graduate Seminar
	Feb 26, 12:00 - 13:00, Learned Optics — Improving Computational Imaging Systems through Deep Learning and Optimization (B9 L2 H2), Wolfgang Heidrich, Professor, Computer Science	Learned Optics, Graduate Seminar
	Oct 7, 12:00 - 13:00, Learning for Visual Data Synthesis and Analysis (B9 L2 H1 R2322), Dr. Timo Ropinski, Professor, Visual Computing, Ulm University, Germany	Deep learning, estimation and segmentation, Monte carlo methods, visual data analysis, visual data synthesis, Graduate Seminar
	Sep 14, 11:30 - 12:30, Learning from Scholarly Attributed Graphs for Scientific Discovery (KAUST), Uchenna Akujuobi, Ph.D., Computer Science	PhD Dissertation Defense
	Nov 12, 15:00 - 16:30, Learning Sequential Modeling Algorithms for Motion Forecasting, Reinforcement Learning, and Vision-Language Understanding (B1 L4 R4214), Deyao Zhu, Ph.D. Student, Computer Science	PhD Dissertation Defense
	Feb 26, 11:30 - 12:30, Learning with Longitudinal Electronic Health Record Data (B9 L2 H2), Ricardo Henao, Associate Professor (former), Bioengineering	Graduate Seminar
	Apr 5, 14:00 - 16:00, Learning-Based Approaches for Next-Generation Intelligent Networks (KAUST), Liang Zhang, Ph.D. Student, Electrical and Computer Engineering	communication network problems, communication networks, PhD Dissertation Defense
	Nov 11, 12:00 - 13:00, Lessons Learned In Building Trustworthy Systems with Trusted Execution Environments (B9 L3 R3223), Valerio Schiavoni, Scientific Coordinator and Lecturer, Centre of Competence for Complex Systems and Big Data, University of Neuchâtel	Seminar
	Feb 7, 15:00 - 16:00, Leveraging Readily Available Data for Low Resource Natural Language Processing (KAUST), Derry Wijaya, Assistant Professor, Computer Science, Boston University	Natural Language Processing, Seminar
	Feb 13, 12:00 - 13:00, Local flex markets from theory to practice: the UK landscape and international experiences (B1 L4 R4214), Jason Avramidis, Director of Innovation and International Flexibility Markets for OakTree Power, UK	Seminar
	Feb 22, 12:00 - 13:00, Look Here! Guiding Attention in Complex Visualizations (KAUST), Manuela Waldner, Assistant Professor at the Research Unit of Computer Graphics of the Institute of Visual Computing and Human-Centered Technology at TU Wien, Austria	Graduate Seminar