2021 TRIPODS Winter School & Workshop on Graph Learning and Deep Learning This event aims to bring together experts in machine learning, statistical inference and learning on graphs, and optimization to share basic principles, recent research results, and practical ideas, on the foundations of graph and deep learning. A series of tutorials
Video presentation from KHIPU 2019: the first ever Artificial Intelligence meeting held in Latin America
The first ever meeting in Latin America held on Artificial Intelligence took place in Montevideo, Uruguay in November 2019. To view a video overview of the conference please click here.
Yannis Kevrekidis named to National Academy of Engineering
Johns Hopkins chemical and biomolecular engineer Yannis Kevrekidis has been named to the National Academy of Engineering, a career distinction that recognizes the most accomplished engineers in the world. He is among 87 new members and 18 international members selected for the honor this year. Established in 1964, the NAE is made up of
MINDS awarded NSF-Simons Foundation’s Research Collaborations on the Mathematical and Scientific Foundations of Deep Learning (MoDL)
The $10 million, five-year award titled “Collaborative Research: Transferable, Hierarchical, Expressive, Optimal, Robust, and Interpretable NETworks (THEORINET)” will support René and his team in developing a mathematical, statistical and computational framework that will explain the success of current deep network architectures, understand its pitfalls, and guide the design of novel architectures
Prof. Rama Chellappa named this year’s recipient of IEEE’s Jack S. Kirby Signal Processing Medal
Congratulations to Prof. Rama Chellappa for being named this year’s recipient of IEEE’s Jack S. Kirby Signal Processing Medal “for contributions to image and video processing, especially applications to face recognition.” The awards this year were presented in the form of short online videos honoring each recipient and their contributions. Please click
Professor Vladimir Braverman has 5 papers accepted to the International Conference on Machine Learning
A list with links to the accepted papers that will be presented at ICML 2020 follows: Schatten Norms in Matrix Streams: Hello Sparsity, Goodbye Dimension Coresets for Clustering in Graphs of Bounded Treewidth On the Noisy Gradient Descent that Generalizes as SGD FetchSGD: Communication-Efficient Federated Learning with Sketching Obtaining Adjustable Regularization
Carey Priebe awarded an IMS Fellowship
Carey Priebe, professor in the Department of Applied Mathematics and Statistics, has been elected as a Fellow of the Institute of Mathematical Statistics, a recognition of his outstanding research and leadership in the field of statistics. Carey’s research focuses on computational statistics, kernel and mixture estimates, statistical pattern recognition, dimensionality reduction,
Artificial intelligence pioneer Rama Chellappa named Bloomberg Distinguished Professor
Hub staff report / Published April 3 Back in the 1980s, when the study of artificial intelligence was branching out into exciting new realms, Rama Chellappa organized a national conference focused on two emerging niches: computer vision and pattern recognition. The event, he recalls, drew a modest crowd. Last year the same conference brought together more than 6,000
René Vidal elected to the AIMBE College of Fellows
René Vidal, the Herschel L. Seder Professor in the Department of Biomedical Engineering, has been elected to the American Institute for Medical and Biological Engineering’s College of Fellows. AIMBE Fellows are considered the most distinguished and accomplished leaders in the fields of medical and biological engineering, and are chosen for making
Ilya Shpitser receives NSF CAREER Award
Ilya Shpitser, John C. Malone Assistant Professor in the Department of Computer Science, is a recipient of the National Science Foundation’s Early CAREER Award, which recognizes early stage scholars with high levels of promise and excellence. Ilya’s five-year CAREER award will support his project, “Robust Causal and Statistical Inference in High