Seminars

The increasing availability of human trajectory and social data, fueled by GPS and social networks, presents a unique opportunity for scientific discovery.

Gemini 1.5 has shown that large-scale foundational models are able to process information across millions of tokens of context.

As a form of computer graphics, vector graphics represents visual content based directly on geometric shapes (via command lines and arguments), and is widely used in scientific and artistic applications, including architecture, surveying, 3D rendering, typography, and graphic design.

We define the notion of a classical commitment scheme to quantum states, which allows a quantum prover to compute a classical commitment to a quantum state, and later open each qubit of the state in either the standard or the Hadamard basis. Our notion is a strengthening of the measurement protocol from Mahadev (STOC 2018).

Protein representation learning (PRL) is crucial for understanding structure-function relationships, yet current sequence- and graph-based methods fail to capture the hierarchical organization inherent in protein structures.

Abstract not available

Abstract not available

In both federated learning (FL) and large language model (LLMs) optimization, a central challenge is effective learning under constraints, ranging from data heterogeneity and personalization to limited communication and black-box access.

*Abstract*
Stay Tuned.

*Bio*