Despite decades of research, we still do not know how the brain integrates the many features of an object into a coherent whole, or whether artificial systems perform similar binding. […]
As a major powerhorse for generative AI, diffusion models have demonstrated great successes in Euclidean spaces, such as for generating images and videos. This talk, on the other hand, will […]
The mechanical behavior of fiber network materials is characterized by large deformations before failure and a strain-stiffening stress-strain response. In this thesis, this is investigated using discrete simulations at the […]
Many of the robustness properties that are required for real-world applications of AI would be realized by a model that has understood the world. But it is unclear how to […]
This is a hybrid event with in-person attendance in Levine 307 and virtual attendance via Zoom. ABSTRACT Marine robots have undergone significant growth, driven by recent advances in artificial intelligence, […]
Suspensions of filamentous materials, or filamentous suspensions, represent a unique class of complex fluids in which the interplay between particle anisotropy and filament interactions – both intra- and inter-filament associations –gives […]
The development of automated experimental facilities and the growing trend of experimental data digitization brought enormous opportunities for radically advancing laboratories. As many laboratory research tasks involve predicting and understanding […]
Zoom link: https://upenn.zoom.us/j/98220304722 This talk reviews a theory of the functions learned by neural networks with Rectified Linear Unit (ReLU) activations. At its core is the observation that deep ReLU […]
In nature, thin sheets bend, fold, and curve to create functional three-dimensional forms—from insect wings to leaves and flower petals. Over the past decades, such behavior has inspired engineered systems […]
This event will be in-person ONLY in Wu and Chen Auditorium. ABSTRACT Recent advancements in large multimodal models have led to the emergence of remarkable generalist capabilities in digital domains, […]
The world is nonlinear and linked. In this talk, I will present the origin of the small-gain theory and show that it serves as an important systematic tool for addressing […]
Riccati equations are ubiquitous in systems/control theory and are frequently solved by the methods of continuous optimization. In some cases, it is known that solutions can be obtained quickly and […]