Abstract: The emergence of powerful, ever more universal models such as ChatGPT, and stable Diffusion, made generative modeling (GM) undoubtedly a focal point for modern…
Abstract: Large language models (LLMs) have soared in popularity in recent years, thanks to their ability to generate well-formed natural language answers for a myriad…
Abstract: Epigenetic aging clocks play a pivotal role in estimating an individual's biological age through the examination of DNA methylation patterns at numerous CpG (Cytosine-phosphate-Guanine)…
Abstract: Balancing performance and safety are crucial to deploying autonomous vehicles in multi-agent environments. In particular, autonomous racing is a domain that penalizes safe but…
Abstract: Massive scale has been a recent winning recipe in natural language processing and AI, with extreme-scale language models like GPT-4 receiving most attention. This…
Abstract: Understanding causal relationships is one of the most important goals of modern science. So far, the causal inference literature has focused almost exclusively on…
Abstract: When robots are to be deployed over long time scales, optimality should take a backseat to “survivability”, i.e., it is more important that the…
Abstract: This keynote serves as a call for awareness to understand and normalize the exceptional digital and STEAM literacy practices within Black families and youth.…
Abstract: Recent advances in computing and measurement technologies have led to an explosion in the amount of data with network structures in a variety of…
Abstract: Acoustic imaging leverages sound to form visual products with applications including biomedical ultrasound and sonar. In particular, synthetic aperture sonar (SAS) has been developed…
Abstract: Generative (gen) AI, including large language models (LLMs) and text-to-image (T2I) models, has exploded in popularity over the past couple of years. It is…
Abstract: Estimating dynamic treatment effects is essential across various disciplines, offering nuanced insights into the time-dependent causal impact of interventions. However, this estimation presents challenges…