Index Catalog // ScholarsArchive@OSU

Semantic embodied navigation : developing agents that navigate from language and vision

Creator:: Krantz, Jacob
Abstract:: Autonomous robotic agents are on their way to becoming in-home personal assistants, construction assistants, and warehouse workers. The degree of autonomy of such systems is reflected by the manner in which we specify goals to them; the abstraction of low-level commands to high-level goals goes hand-in-hand with increased autonomy. In...
Resource Type:: Dissertation

SocioEconomicMag Meets a Platform for SES-Diverse College Students: A Case Study

Creator:: Agarwal, Puja
Abstract:: Emerging research shows that individual differences in how people use technology sometimes cluster by socioeconomic status (SES) and that when technology is not socioeconomically inclusive, low-SES individuals may abandon it. To understand how to improve technology’s SES-inclusivity, we present a multi-phase case study on SocioEconomicMag (SESMag), an emerging inspection method...
Resource Type:: Masters Thesis

Designing Diversity and Inclusion Processes and Tools for Sustainable Open Source

Creator:: Guizani, Mariam
Abstract:: Over time, Open Source Software (OSS) has become indispensable in the creation and upkeep of software products, serving as the fundamental building block for widely used solutions in our daily lives, including applications that enable communication, entertainment, and productivity. A sustainable OSS ecosystem is one that attracts and retains a...
Resource Type:: Dissertation

Mood-dynamic playlist : interpolating a path of emotions using a KNN algorithm

Creator:: Gaur, Shaurya
Abstract:: Users curate music playlists based on emotion to focus or relax, so streaming services often create playlists of songs to aid this process. Prior research focuses on generating playlists of a single mood or genre, although a few studies work to construct automatic playlists that transition between the genres of...
Resource Type:: Honors College Thesis

Characterizing and Addressing Dataset Shift with Deep Learning

Creator:: Olson, Matthew L.
Abstract:: This dissertation delves into understanding, characterizing, and addressing dataset shift in deep learning, a pervasive issue for deployed machine learning systems. Integral aspects of the problem are examined: We start with the use of counterfactual explanations in order to characterize the behavior of deep reinforcement learning agents in visual input...
Resource Type:: Dissertation

Graph Imitation Learning for Optimal Joint Beamforming and Antenna Selection

Creator:: Shrestha, Sagar
Abstract:: Transmit beamforming is an important technique employed to improve efficiency and signal quality in wireless communication systems by steering signals towards their in- tended users. It often arises jointly with the antenna selection problem due to various reasons, such as limited number of radio frequency (RF) chains and energy/resource effi-...
Resource Type:: Masters Thesis
Full Text:: received by user m can be expressed as follows: ym(t) = h H mwmsm(t)︸︷︷︸ signal + ∑ ℓ̸=m hHmwℓsℓ(t

Efficient Comparative Sequence Analysis Algorithms for RNA Conserved Structure and Region Detection

Creator:: Li, Sizhen
Abstract:: RNAs play important roles in multiple cellular processes, and many of their functions rely on folding to specific structures. To maintain their functions, secondary structures of RNA homologs are conserved across evolution. These conserved structures provide critical targets for diagnostics and therapeutics. Thus, there is a need for developing fast...
Resource Type:: Dissertation
Full Text:: my further study. I would like to acknowledge Professor David H. Mathews from University of

Convergence Analysis Framework for Fixed-Point Algorithms in Machine Learning and Signal Processing

Creator:: Vu, Trung
Abstract:: Iterative algorithms are simple yet efficient in solving large-scale optimization problems in practice. With a surge in the amount of data in past decades, these methods have become increasingly important in many application areas including matrix/tensor recovery, deep learning, data mining, and reinforcement learning. To optimize or improve iterative algorithms,...
Resource Type:: Dissertation
Full Text:: , region of conver- 17 F ig u re 1. 4: A n ov er v ie w of th is d is se rt at io n . T h e re se

Elucidating Computational Narratives to Facilitate Code Comprehension

Creator:: Chattopadhyay, Souti
Abstract:: Programming is integrated across the workflow of multiple domains where end-user programmers, those who need to program as a means to an end, regularly need to code. In the modern setting of collaborative development, end-user programmers have to interpret the intentions behind existing code to contribute and build solutions to...
Resource Type:: Dissertation

On Avoiding Power-Seeking by Artificial Intelligence

Creator:: Turner, Alexander M.
Abstract:: We do not know how to align a very intelligent AI agent's behavior with human interests. I investigate whether—absent a full solution to this AI alignment problem—we can build smart {\ai} agents which have limited impact on the world, and which do not autonomously seek power. In this thesis, I...
Resource Type:: Dissertation

ScholarsArchive@OSU

Semantic embodied navigation : developing agents that navigate from language and vision

SocioEconomicMag Meets a Platform for SES-Diverse College Students: A Case Study

Designing Diversity and Inclusion Processes and Tools for Sustainable Open Source

Mood-dynamic playlist : interpolating a path of emotions using a KNN algorithm

Characterizing and Addressing Dataset Shift with Deep Learning

Graph Imitation Learning for Optimal Joint Beamforming and Antenna Selection

Efficient Comparative Sequence Analysis Algorithms for RNA Conserved Structure and Region Detection

Convergence Analysis Framework for Fixed-Point Algorithms in Machine Learning and Signal Processing

Elucidating Computational Narratives to Facilitate Code Comprehension

On Avoiding Power-Seeking by Artificial Intelligence

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