The Right Livelihood International Conference is a four-week global conference exploring how education can strengthen democracy, collective intelligence, and just futures. Bringing together Right Livelihood Laureates, students, faculty, and community partners […]
Presenter: Dr. Xun Tang, Stanford University Description: This talk covers an efficient numerical approach for compressing a high-dimensional discrete distribution function into a non-negative tensor train (NTT) format. The two settings we consider are variational inference and density estimation, whereby one has access to either the unnormalized analytic formula of the distribution or the samples […]
Presenter: Snigdha Panigrahi, Associate Professor, Department of Statistics, University of Michigan Description:Agglomerative hierarchical clustering is one of the most widely used approaches for exploring how observations in a dataset relate to each other. However, its greedy nature makes it highly sensitive to small perturbations in the data, often producing different clustering results and making it […]
Presenter Chenyu You, Stony Brook University Abstract In the rapidly growing area of machine learning, there is profound promise in crafting intelligent, data-driven methods for diverse real-world applications. Yet, in safety-critical domains like healthcare, some fundamental challenges remain: (1) The insufficiency of raw biomedical data emphasizes the need for data-efficient and robust learning approaches. (2) […]
Presented by: Edward Wang Description: “What does it actually look like to invent something? In this talk, I trace the decade-long journey of turning a smartphone into a blood pressure monitor, from Seismo, which used smartphone accelerometers to measure pulse transit time, to BPClip, a dollar clip that brought calibration-free oscillometry to the fingertip, to VibroBP, which […]
Presenter: Riddhiman Bhattacharya, Postdoc, UCSC Description: We propose an active learning approach for dynamic fair resource allocation problems. In contrast to prior work that assumes full feedback from all agents on their allocations, we focus on scenarios where feedback is available only from a carefully select subset of agents at each epoch of the online […]
Presenter: Marcos Calegari Andrade, Assistant Professor, Chemistry and Biochemistry, UC Santa Cruz Description: In this talk, I will demonstrate how neural networks can represent the high-dimensional potential energy surfaces of many-body systems. By achieving the accuracy of first-principles quantum calculations at a fraction of the computational cost, these models enable atomistic simulations of condensed matter […]
Presenter: Philipp Haller, KTH Royal Institute of Technology Abstract: Distributed programming is notoriously difficult. Not only are distributed systems concurrent, they pose additional challenges including data consistency and fault tolerance. At the same time, the share of software systems that are necessarily distributed systems is growing rapidly. As a result, too many software developers are […]
Presenter: Guan’ao Yan, Assistant Professor, Michigan State University Description: Single-cell and spatial transcriptomics technologies now let us map cellular diversity and tissue organization at high resolution, but the computational methods built to analyze these data are difficult to evaluate in a rigorous, reproducible way. Two key barriers are the lack of realistic synthetic data with […]
Presenter: Anil Damle, Associate Professor, Cornell University Description: The column subset selection problem is a classical topic in numerical linear algebra, with renewed interest driven by applications in computational quantum chemistry, integral equations, model reduction, and model compression in machine learning. This talk surveys recent advances that clarify how structural properties of a matrix influence […]
Presenter: Chris Jay Hoofnagle, Frederik Zuiderveen Borgesius, Lothar Determann, Pieter T.J. Wolters Abstract: The European Union has enacted a comprehensive cybersecurity framework (the “Framework”) that imposes far-reaching obligations on developers of standalone software and connected products. This Article describes the European legislative approach before turning to a description of the Framework. Anchored by the Cyber […]
Friday, May 15, 1:00-4:00 PM (PDT) McHenry Library | Information Commons South on the Main Floor We are delighted to invite you to the 22nd Annual Graduate Research Symposium! This event celebrates and highlights the work of UCSC graduate students in all academic divisions. Any enrolled graduate student is welcome to present either a poster, […]
Presenter: Peng Ding, Associate Professor, UC Berkeley Description: I will present some recent results on unifying regression-based and design-based causal inference in time-series experiments and crossover experiments. Part I: Time-series experiments, also called switchback experiments or N-of-1 trials, play increasingly important roles in modern applications in medical and industrial areas. Under the potential outcomes framework, […]
Presenter: Laura Waller, UC Berkeley Abstract: Computational imaging jointly designs hardware and algorithms to push beyond the classical limits of imaging, enabling measurement of new quantities (e.g. 3D, phase, and super-resolution) with simple, inexpensive hardware. These approaches have already transformed consumer photography; our goal is to achieve a similar transformation in scientific microscopy. In this […]