ABSTRACT: Shapley values and similar methods are widely used to explain the importance of features in model predictions. Clarity in the semantics of these feature importances is subtle, but crucial: […]
This is a hybrid event with in-person attendance in Levine 307 and virtual attendance on Zoom. ABSTRACT I’ll discuss reinforcement learning in two-player zero-sum games. Historically, this area has lacked […]
One of the most intriguing outcomes of casting our thinking about the world around us in mathematical terms is that phenomena that were thought to be quite distinct are instead […]
Recent development of computational fluid mechanics allows to simulate wide range of fluid mechanics problems, but it requires appropriate constitutive equations and rheological properties to represent behavior of complex fluid […]
Silicon has been the dominant material for electronic computing for decades and very likely will stay dominant for the foreseeable future. However, it is well-known that Moore’s law that propelled […]
Despite considerable advancements in recent years, legged robots still fall short in terms of agility when compared to their animal counterparts. This thesis takes a two pronged approach to creating […]
Molecular heterogeneity is emerging as a critical feature of multicellular life. While single-cell analyses have revealed the existence of cell-to-cell variation in the levels and activities of the molecules responsible for gene regulation, the source of such variation is still poorly understood. The Downing Lab […]
Abstract Remarkable advances in imaging, computation, and technology are rapidly moving us into an era where biomedical knowledge discovery is increasingly limited only by creativity. This has resulted in unprecedented opportunities to improve the […]
This is a hybrid event with in-person attendance in Wu and Chen and virtual attendance on Zoom. ABSTRACT Data-driven machine learning methods are making advances in many long-standing problems in […]
Stochastic geometry is a branch of probability theory that deals with the study of random spatial patterns. Random point patterns, termed point processes, are the most basic such objects that […]
This thesis explores advancements in three distinct domains: communications, privacy, and machine learning. Within the realm of communication, a comprehensive study is conducted on channel coding at low capacity, a […]
Structural design optimization has long played a crucial role in engineering, often with the goal of creating stiff and lightweight structures for aerospace and other applications. However, optimizing structures against […]