One World Signal Processing Seminar Series

distributed, parallel, and cluster computing machine learning social and information networks

Audience:	Researchers in the discipline
Seminar series time:	Wednesday 09:00-10:00 in your time zone, UTC
Organizer:	Hoi-To Wai*
	*contact for this listing

Video archives of the talks are available at www.youtube.com/channel/UC4Z8_Hr0bVBnOLAHIDxjl8A

Upcoming talks

Past talks

Your time			Speaker	Title
Wed	Jun 15	08:00	Miguel Rodrigues	TBA
Wed	Jun 01	08:00	Maokun Li	TBA
Wed	May 18	08:00	Robert D. Nowak	Function Space Models in Deep Learning
Wed	May 04	09:00	Yonina Eldar	Model Based Deep Learning: Applications to Imaging and Communications
Wed	Apr 20	08:00	Xudong Chen	Physics-Assisted Deep Learning for Radar Imaging and Classification Problems
Wed	Dec 08	09:00	Pier Luigi Dragotti	New Sparse Sampling Methods: Time-based sampling and sampling along trajectories
Wed	Dec 01	09:00	Marco di Renzo	Reconfigurable Intelligent Surfaces for Wireless Communications
Tue	Nov 23	09:00	Christopher Studer	Low-Resolution to the Rescue of All-Digital Massive MIMO
Wed	Nov 17	09:00	Osvaldo Simeone	Channel Noise as Monte Carlo Sampling: Efficient Bayesian Distributed Learning in Wireless Systems
Wed	Nov 10	09:00	Deniz Gunduz	Beyond Transmitting Bits: Semantic and Goal-Oriented Communications
Wed	Nov 03	09:00	Angel Lozano	Line-of-sight MIMO: An Old Theory Up To New Tricks
Wed	Oct 27	08:00	Gitta Kutyniok	RadioUNets: Next Generation Radio Maps using Deep Learning
Wed	Oct 20	08:00	Liesbet Van der Perre	The quest for future connected environments: the potential of RadioWeaves technology
Wed	Oct 13	08:00	Thomas Schon	Deep probabilistic regression
Wed	Oct 06	08:00	Felix Krahmer	Unlimited Sampling from Theory to Practice
Wed	Sep 29	08:00	Robert Schober	Intelligent Reflecting Surfaces for Free-space Optical Communications
Wed	Sep 22	08:00	Visa Koivunen	Waveform design for integrated sensing and communications
Thu	Sep 16	08:00	Merouane Debbah	Rebuilding the Theoretical Foundations of Communications and Computing
Wed	Sep 08	14:00	Fernado Gama	Graph Neural Networks
Fri	Dec 18	02:00	Angelia Nedich	TBA
Fri	Dec 11	02:00	Gesualdo Scutari	Bringing Statistical Thinking in Distributed Optimization. Vignettes from statistical inference over Networks.
Fri	Dec 04	02:00	Nikos D. Sidiropoulos	Nonparametric Multivariate Density Estimation: A Low-Rank Characteristic Function Approach
Fri	Nov 20	02:00	Vagelis Papalexakis	TBA
Thu	Nov 12	02:00	Piya Pal	Understanding Trade-offs in Super-resolution Imaging with Spatiotemporal measurement
Fri	Oct 30	01:00	Waheed Bajwa	High-dimensional Regression and Dictionary Learning: Some Recent Advances for Tensor Data
Fri	Oct 23	01:00	Georgios B. Giannakis	Adaptive Diffusions for Scalable and Robust Learning over Graphs
Fri	Aug 28	02:00	Usman Khan	Decentralized stochastic non-convex optimization
Mon	Aug 24	07:30	David Gesbert	Learning to team play
Mon	Aug 17	02:00	Ji Liu	Communication Efficient Distributed Learning
Fri	Aug 07	07:30	Geert Leus	Learning Higher-Order Interactions with Graph Volterra Models
Fri	Jul 31	02:00	Wei Yu	Machine Learning for Massive MIMO Communications
Fri	Jul 24	07:30	Emil Bjornsoon	A programmable wireless world with reconfigurable intelligent surfaces
Fri	Jul 17	02:00	Santiago Segarra	Inferring Networks and Network Properties from Graph Dynamic Processes
Fri	Jul 03	02:00	Rui Zhang	Signal Processing and Optimization in UAV Communication and Trajectory Design
Fri	Jun 26	07:30	Joakim Jalden	Cell Detection by Functional Inverse Diffusion and Nonnegative Group Sparsity
Fri	Jun 19	02:00	Anna Scaglione	Modeling and learning social influence from opinion dynamics under attack

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