Bryan Chiang
AI/ML researcher and developer at Google DeepMind and Stanford University
Network
9.4K connectionsNetwork
9.4K connectionsSummary
Work
Education
Projects
Writing
Gemini: A Family of Highly Capable Multimodal Models
December 1, 2023A research paper detailing the architecture, capabilities, and evaluations of the Gemini family of multimodal models, highlighting their performance across various domains including image, audio, video, and text.
Zero Knowledge Canon, part 1 & 2
September 1, 2022A publication related to zero-knowledge cryptography, likely an overview or compilation of resources, contributed to while at a16z Crypto.
Decentralized Speed: Advances in Zero Knowledge Proofs
April 1, 2022An article or paper exploring advancements in zero-knowledge proofs within decentralized systems, published or contributed to during his time at Andreessen Horowitz Crypto.
Planes of Depth (Monocular Depth Estimation and Feature Tracking)
February 1, 2022Course notes for CS231A at Stanford University, focusing on monocular depth estimation and feature tracking, co-authored by Bryan Chiang.
07 Representation Learning
February 1, 2022Course notes for CS231A at Stanford University, providing an overview of states and representations in the context of representation learning.
Analyzing Gaze Patterns in an Emotion Recognition Task and Toward continuous social phenotyping: analyzing gaze patterns in an emotion...
January 1, 2022Research contributing to the understanding of social phenotyping through the analysis of gaze patterns during emotion recognition tasks.
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