Monetary Policy plays a crucial role in modern economies by supporting price, financial and economic stability. Its efficacy, however, exhibits variation both over time and across space leading to partially unpredictable and inconsistent outcomes. This thesis shows that the variation in the efficacy of monetary policy crucially relates to the...
The goal of this thesis is to prove that topological restriction homology, TR, is locally even in the quasi-syntomic topology in characteristic p. This local evenness was already known for the other main trace theories, but is more subtle for TR.
We consider data-driven approaches for universal texture modeling via generative adversarial networks and inversion methods. We investigate the properties of the learned representation spaces and demonstrate that a strong link between texture analysis and synthesis is the key to successful texture modeling. First, we visit the problem of texture synthesis...
Previous studies have documented a systematic discrepancy between probabilistic seismic hazard maps and historical records of shaking (Stein et al., 2015; Brooks et al., 2016, 2017, 2018, 2019; Salditch et al., 2020; Salditch, 2021). In almost every case, shaking predicted by the hazard map is higher than that historically observed....
This dissertation includes the score and companion essay to the musical work, Untitled (March). In the composition, I endeavor to create a listening situation offering a mutually negotiated environment of quietude that challenges a listener's preconceptions of intentionality and perception by blurring the boundaries between instrumental performance, field recordings, and the...
Due to their widespread applicability, graphs and networks appear in various contexts. The increasing scale of graphs encountered in the real-world requires the developmentof efficient algorithms that run reasonably fast and produce close to optimal solutions.
The main focus of this thesis is the development of fast graph algorithms for...
Machine learning-based techniques have shown great promises in perception, prediction, planning, and general decision-making for improving task performance of autonomous driving. Connectivity technology has also presented great potentials in improving the safety and efficiency of transportation systems by providing information beyond the perception and prediction capabilities of individual vehicles. However,...
Our sense of smell, or olfaction, is one of our most evolutionarily ancient senses. In vertebrates, olfaction plays a crucial role in many functions, such as detecting and evaluating food, avoiding predators, regulating appetite, spatial navigation, and selecting mating partners. In addition, the olfactory system is highly dynamic and exhibits...
Findings in both humans and animal models have associated the hippocampal theta oscillation with hippocampal memory function. In animal models, previous research supports that the theta oscillation contributes to memory via phase-dependent changes in hippocampal network connectivity, wherein memory encoding versus retrieval are optimized at different phases of the theta...
This essay investigates the question under which conditions ASMR is suitable for the concert space. What can be done to ensure that those sensitive to ASMR experience the desired effect? The text compares the sounds used to induce the physiological response called ASMR to those of “Musique Concrète (Instrumentale)” by...