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Recent Submissions

  • Mobile Phone Accessibility Review 

    LaForce, Salimah; Bright, Dara; Garcia, Andrew (Georgia Institute of Technology, 2019-01)
    The Federal Communications Commission (FCC) has a statutory obligation to evaluate the impact of their regulations that implement the Twenty-First Century Communications and Video Accessibility Act (CVAA). Every two-years ...
  • Lighting the patient room of the future: Evaluating different lighting conditions from the patient perspective 

    DuBose, Jennifer R.; Davis, Robert G.; Campiglia, Gabrielle; Wilkerson, Andrea; Zimring, Craig M. (Georgia Institute of Technology, 2021)
    This study explores whether “future” lighting systems that provide greater control and opportunity for circadian synchronization are acceptable to participants in the role of patients.Tunable, dimmable light emitting ...
  • The Seeing Eye Robot: Developing a Human-Aware Artificial Collaborator 

    Mirksy, Reuth (2021-10-27)
    Automated care systems are becoming more tangible than ever: recent breakthroughs in robotics and machine learning can be used to address the need for automated care created by the increasing aging population. However, ...
  • Generalized Energy-Based Models 

    Gretton, Arthur (2021-10-13)
    Arthur Gretton will describe Generalized Energy Based Models (GEBM) for generative modeling. These models combine two trained components: a base distribution (generally an implicit model, as in a Generative Adversarial ...
  • Structured Prediction - Beyond Support Vector Machine and Cross Entropy 

    Bach, Francis (2021-09-29)
    Many classification tasks in machine learning lie beyond the classical binary and multi-class classification settings. In those tasks, the output elements are structured objects made of interdependent parts, such as sequences ...
  • Towards a Theory of Representation Learning for Reinforcement Learning 

    Agarwal, Alekh (2021-09-15)
    Provably sample-efficient reinforcement learning from rich observational inputs remains a key open challenge in research. While impressive recent advances have allowed the use of linear modelling while carrying out ...
  • Learning Locomotion: From Simulation to Real World 

    Tan, Jie (2021-09-01)
    Deep Reinforcement Learning (DRL) holds the promise of designing complex robotic controllers automatically. In this talk, I will discuss two different approaches to apply deep reinforcement learning to learn locomotion ...
  • Designing for Effective and Safe Multidisciplinary Primary Care Teamwork: Using the Time of COVID-19 as a Case Study 

    Lim, Lisa; Zimring, Craig M.; DuBose, Jennifer R.; Lee, Jaehoon; Stroebel, Robert J.; Matthews, Marc R. (2021-08)
    Effective medical teamwork can improve the effectiveness and experience of care for staff and patients, including safety. Healthcare organizations, and especially primary care clinics, have sought to improve medical teamwork ...
  • Backstage Staff Communication: The Effects of Different Levels of Visual Exposure to Patients 

    Lim, Lisa; Kanfer, Ruth; Stroebel, Robert J.; Zimring, Craig M. (2019-11-21)
    Objective: This article examines how visual exposure to patients predicts patient-related communication among staff members. Background: Communication among healthcare professionals private from patients, or backstage ...
  • The Representational Function of Clinic Design: Staff and Patient Perceptions of Teamwork 

    Lim, Lisa; Kanfer, Ruth; Stroebel, Robert J.; Zimring, Craig M. (2020-09-15)
    This study empirically investigates the relationships between visibility attributes and both patients’ and staff members’ teamwork experiences. Teamwork among healthcare professionals is critical for the safety and quality ...
  • Beyond Co-location: Visual Connections of Staff Workstations and Staff Communication in Primary Care Clinics 

    Lim, Lisa; Kanfer, Ruth; Stroebel, Robert J.; Zimring, Craig M. (2020-08)
    The importance of communication among healthcare providers has been long recognized, and many healthcare organizations are implementing team-based care, with emphasis on staff communication. While previous empirical studies ...
  • Generative models based on point processes for financial time series simulation 

    Wei, Qi (2021-04-07)
    In this seminar, I will talk about generative models based on point processes for financial time series simulation. Specifically, we focus on a recently developed state-dependent Hawkes (sdHawkes) process to model the limit ...
  • You can lead a horse to water...: Representing vs. Using Features in Neural NLP 

    Pavlick, Ellie (2021-03-24)
    A wave of recent work has sought to understand how pretrained language models work. Such analyses have resulted in two seemingly contradictory sets of results. On one hand, work based on "probing classifiers" generally ...
  • Compressed computation of good policies in large MDPs 

    Szepesvari, Csaba (2021-03-10)
    Markov decision processes (MDPs) is a minimalist framework to capture that many tasks require long-term plans and feedback due to noisy dynamics. Yet, as a result MDPs lack structure and as such planning and learning in ...
  • Learning Tree Models in Noise: Exact Asymptotics and Robust Algorithms 

    Tan, Vincent Y. F. (2021-02-10)
    We consider the classical problem of learning tree-structured graphical models but with the twist that the observations are corrupted in independent noise. For the case in which the noise is identically distributed, we ...
  • Interpretable latent space and inverse problem in deep generative models 

    Zhou, Bolei (2021-01-27)
    Recent progress in deep generative models such as Generative Adversarial Networks (GANs) has enabled synthesizing photo-realistic images, such as faces and scenes. However, it remains much less explored on what has been ...
  • Sound-Based Technologies and Strategies Used for Community Mobility by Adults with Vision Disability 

    Bruce, Carrie M.; Echt, Katherine (Georgia Institute of Technology, 2019)
    This investigation specifically examined adults’ self-reported use and usefulness of technologies (personal and public) and compensatory strategies for community mobility. The first study consisted of interviews with older ...
  • ML@GT Lab presents LAB LIGHTNING TALKS 2020 

    AlRegib, Ghassan; Chau, Duen Horng (Polo); Chava, Sudheer; Cohen, Morris; Davenport, Mark A.; Desai, Deven; Dovrolis, Constantine; Essa, Irfan A.; Gupta, Swati; Huo, Xiaoming; Kira, Zsolt; Li, Jing; Maguluri, Siva Theja; Pananjady, Ashwin; Prakash, B. Aditya; Riedl, Mark; Romberg, Justin K.; Xie, Yao; Zhang, Xiuwei (2020-12-04)
    Labs affiliated with the Machine Learning Center at Georgia Tech (ML@GT) will have the opportunity to share their research interests, work, and unique aspects of their lab in three minutes or less to interested graduate ...
  • Bringing Visual Memories to Life 

    Huang, Jia-Bin (2020-12-02)
    Photography allows us to capture and share memorable moments of our lives. However, 2D images appear flat due to the lack of depth perception and may suffer from poor imaging conditions such as taking photos through ...
  • Let’s Talk about Bias and Diversity in Data, Software, and Institutions 

    Deng, Tiffany; Desai, Deven; Gontijo Lopes, Raphael; Isbell, Charles L. (2020-11-20)
    Bias and lack of diversity have long been deep-rooted problems across industries. We discuss how these issues impact data, software, and institutions, and how we can improve moving forward. The panel will feature thought ...

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