PhD Speaking Qualifier
Calendar of Events
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1 event,
PhD Speaking Qualifier
Kensuke Nakamura
Robot Safety Beyond Collision-Avoidance
Abstract: It is common to equate robot safety with “collision avoidance”, but in unstructured open-world environments, a robot’s representation of safety should be much more nuanced. For example, the household manipulator should understand that pouring coffee too fast will cause the liquid to overflow or pulling a mug too quickly from a cupboard will cause [...]
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PhD Speaking Qualifier
Willa Potosnak
Investigating Compositional Reasoning in Time Series Foundation Models
Abstract: Large pre-trained time series foundation models (TSFMs) have demonstrated promising zero-shot performance across a wide range of domains. However, a question remains: Do TSFMs succeed solely by memorizing training patterns, or do they possess the ability to reason? While reasoning is a topic of great interest in the study of Large Language Models (LLMs), [...]
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PhD Speaking Qualifier
Hanzhe Hu
Learning Efficient 3D Generation
Abstract: Recent advances in 3D generation have enabled the synthesis of multi-view images using large-scale pre-trained 2D diffusion models. However, these methods typically require dozens of forward passes, resulting in significant computational overhead. In this talk, we introduce Turbo3D, an ultra-fast text-to-3D system that generates high-quality Gaussian Splatting assets in under one second. Turbo3D features a [...]