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With the rapid development of large-scale and complex generative AI models, there is a there is a demand for new tools to explain the inner workings and behavior of such systems. While various visual…
Date
May 4th, 2023 Speaker
Adam Kelch, UG '24 (2262505) Department
Computer Science
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Innovation and related research initiatives will continue to be an important ingredient to the future success of the country as a driver of economic growth, national security, and the health and…
Date
November 3rd, 2022 Speaker
Latane Brackett, Arturo Dominguez, Treena Arinzeh, Chad Womack, Judith Sheft Department
Princeton Innovation
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Using Neural Networks to Solve Heterogeneous Agent Macroeconomic Models Mentor: Prof. Johnathan Payne, Economics
Date
July 25th, 2022 Speaker
Adam Rebei Department
Office of Undergraduate Research
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Current reinforcement learning (RL) models still have difficulty generalizing to novel, but related, tasks. They are also often composed of deep neural networks which carry out computations that do…
Date
April 27th, 2022 Speaker
Albert Lin Department
Computer Science
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Heliconius butterflies, a genus of butterfly that lives in South America, exhibit Mullerian mimicry, a type of mimicry in which toxic unrelated species evolve to share warning signals to teach and…
Date
April 27th, 2022 Speaker
Yael Stochel Department
Computer Science, Environmental Studies
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Learning 3D representations of objects is a task at the heart of computer vision, robotic manipulation, scene understanding, medicine, and content generation. Implicit neural representations which…
Date
April 27th, 2022 Speaker
Gene Chou Department
Computer Science
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