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thumbnail image for post: Investigating Compositional Reasoning in Time Series Foundation Models

Investigating Compositional Reasoning in Time Series Foundation Models

Event Category:
PhD Speaking Qualifier
Speaker:
Willa Potosnak
Event Time:
Thursday, April 3rd - 4:00 PM
thumbnail image for post: Learning from Animal and Human Videos

Learning from Animal and Human Videos

Event Category:
MSR Thesis Defense
Speaker:
Ryan Aponte
Event Time:
Friday, April 4th - 8:30 AM
thumbnail image for post: Learning Efficient 3D Generation

Learning Efficient 3D Generation

Event Category:
PhD Speaking Qualifier
Speaker:
Hanzhe Hu
Event Time:
Friday, April 4th - 10:00 AM

Innovative Algorithm Enhances Robot Tracking for High-Precision Manipulation Tasks

Robots with human-level dexterity have the potential to revolutionize object manipulation and reconstruction tasks, but achieving this level of dexterity comes with challenges, particularly when it comes to robots handling a wide variety of low-texture objects with high precision.  To address th...

Howie Choset Elected AAAS Fellow

Howie Choset, Kavčić-Moura Professor of Computer Science at the Carnegie Mellon University Robotics Institute has been elected as a 2024 fellow of the American Association for the Advancement of Science (AAAS), the world’s largest general scientific society and publisher of the Science family of...

RI Ph.D. Wins Three Minute Thesis Competition, Earns Jane Street Fellowship

Vivian Shen, Robotics Institute Ph.D. student, emerged as the champion of the Carnegie Mellon University Three Minute Thesis competition (3MT). The internationally recognized competition, hosted by Carnegie Mellon Libraries, challenges Ph.D. students from across the university to present their thesi...
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Investigating Compositional Reasoning in Time Series Foundation Models

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Upcoming

April
3
Thu
PhD Speaking Qualifier
Willa Potosnak
Robotics Institute,
Carnegie Mellon University
Investigating Compositional Reasoning in Time Series Foundation Models
April
4
Fri
MSR Thesis Defense
Ryan Aponte
Robotics Institute,
Carnegie Mellon University
Learning from Animal and Human Videos
April
4
Fri
PhD Speaking Qualifier
Hanzhe Hu
Robotics Institute,
Carnegie Mellon University
Learning Efficient 3D Generation
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