4 papers
Generalization Limits of In-Context Operator Networks for Higher-Order Partial Differential Equations
Jamie Mahowald, Tan Bui-Thanh
We investigate the generalization capabilities of In-Context Operator Networks (ICONs), a new class of operator networks that build on the principles of in-context learning, for hi…
Efficient Analysis of the Distilled Neural Tangent Kernel
Jamie Mahowald, Brian Bell, Alex Ho +1
Neural tangent kernel (NTK) methods are computationally limited by the need to evaluate large Jacobians across many data points. Existing approaches reduce this cost primarily thro…
Retrieval-Augmented Search for Large-Scale Map Collections with ColPali
Jamie Mahowald, Benjamin Charles Germain Lee
Multimodal approaches have shown great promise for searching and navigating digital collections held by libraries, archives, and museums. In this paper, we introduce map-RAS: a ret…
Integrating Visual and Textual Inputs for Searching Large-Scale Map Collections with CLIP
Jamie Mahowald, Benjamin Charles Germain Lee
Despite the prevalence and historical importance of maps in digital collections, current methods of navigating and exploring map collections are largely restricted to catalog recor…