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Two-dimensional human pose estimation is a challenging task, where the goal is to localize key anatomical landmarks (e.g. elbows, knees, shoulders), given an image of a person in some pose. Current…
Date
May 4th, 2023 Speaker
Nobline Yoo, UG '23 (2272767) Department
Computer Science
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Algorithms make predictions about people constantly. The spread of
such prediction systems has raised concerns that machine learning
algorithms may exhibit problematic behavior, especially…
Date
March 20th, 2023 Speaker
MIchael P. Kim Department
Center forinformation Technology Policy Location
Computer Science 105
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Imagine trying to catch a ball. Combining the position of the ball now with where it was a moment ago allows you to make a prediction of where the ball will be, a crucial piece of information for a…
Date
April 27th, 2022 Speaker
Kamron Soldozy Department
Neuroscience
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Uncertainty Quantification for Machine Learning Models
Date
July 27th, 2021 Speaker
Laura Fang Department
Princeton Plasma Physics Lab
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Developing Machine Learning Potentials for CO2
Date
July 27th, 2021 Speaker
Reha Mathur Department
Department of Chemical and Biological Engineering
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It is now possible to utilize large genomics datasets to understand how mutations in our genetic code lead to disease, and in turn, create fine-tuned therapies. We leverage predictions from a deep…
Speaker
Briana Macedo Department
Computer Science
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Reindeer (Rangifer tarandus) are arctic large-bodied herbivores that have long-term population fluctuations. Although multiple underlying mechanisms might contribute to these fluctuations, the…
Speaker
Ingrid Koester, UG '21 Department
Ecology and Evolutionary Biology
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Track and field is a heavily statistics based sport as the objective nature of each event allows for simple comparisons of results. While these basic performance statistics have long been in use to…
Date
April 29th, 2020 Speaker
Ashley Willingham '20 Department
Operations Research and Financial Engineering
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With the increased prevalence of autism spectrum disorder (ASD) comes the challenge of identifying children at risk for ASD as early in life as possible so that they can benefit from early…
Date
April 29th, 2020 Speaker
Fleming Peck '20 Department
Neuroscience
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