Colloquium Jacques Morgenstern

Statistical Learning Theory for Modern Machine Learning

Freedom of the press is under threat worldwide, and the quality of information that people have access to is dangerously degraded, under the joint threat of non-democratic governments and fake

Modern programming languages such as Java, Scala, and Rust are examples of concurrent higher-order imperative programming languages.

Recently, many societies seem to shift towards more polarization and volatility in opinions, for example in attitudes about immigration, climate policy, or the best policy response to Covid-19. A

Recently, many societies seem to shift towards more polarization and volatility in opinions, for example in attitudes about immigration, climate policy, or the best policy response to Covid-19. A

The history of computing tells us that computers can be made of almost anything: silicon, gears and levers, neurons, flowing water, interacting particles or even light. Although lithographically

Over the past decade, and particularly over the past five years, research at the interface of topology and neuroscience has grown remarkably fast. Topology has, for example, been successfully applied

Computer vision has made impressive gains through the use of deep learning models, trained with large-scale labeled data. However, labels require expertise and curation and are expensive to collect.

Runtime monitoring/verification is a lightweight technique that complements other verification methods in a multi-pronged approach towards ensuring software correctness. The technique poses novel

In recent years, concurrent Kleene algebra (CKA), an extension of Kleene Algebra (KA) that includes concurrent composition as a first-class citizen, has been proposed by Hoare et al. as a setting to

In 1960 Rudolph Kalman published what is arguably the first paper to develop a systematic, principled approach to the use of data to improve the predictive capability of mathematical models. As our

Data produced by the domain of life sciences in the next decade are expected to be highly challenging. In addition to scalability issues which are shared with other applications domains, data produced