ABSTRACT: An important goal of the field sensorimotor robot learning is to do away with cumbersome expertise-intensive task specification, so that general-purpose robots of the future might learn large numbers […]
ABSTRACT: Many regression and classification procedures fit a function f(x;w) of predictor variables x to data 〖{x_i,y_i}〗_1^N based on some loss criterion L(y,f(x;w)). Often, regularization is applied to improve accuracy […]
ABSTRACT: The training data that modern machine learning models ingest has a major impact on these models’ performance (as well as failures). Yet, this impact tends to be neither fully […]
PRESENTATION ABSTRACT: In this new era of deep learning, the emergent algorithmic reasoning capabilities of Transformer models have led to significant advancements in natural language processing, program synthesis, and theorem […]
Abstract: Scientific discoveries, fueled by data collected during the course of care, are promising to radically change how we think about health, disease, prevention and treatment. However, the very systems […]
ABSTRACTION IN LANGUAGES AND SYSTEMS Laureate symposium honoring Barbara Liskov, recipient of the 2023 Benjamin Franklin Medal in Computer and Cognitive Science Featuring: Barbara Liskov, Ph.D., Laureate […]
PRESENTATION ABSTRACT: Neurosymbolic programming (NSP) is an emerging area of computing that bridges the fields of deep learning and program synthesis. Like in classical machine learning, the goal here is to […]
Celebrate Penn Engineering's 2023 Doctoral Graduates. Additional information is available on the Penn Engineering Commencement website.
Celebrate the Penn Engineering 2023 Master's Graduates. Additional information is available on the Penn Engineering Commencement website.
