Hidden Flaws Behind Expert-Level Accuracy of GPT-4 Vision in Medicine

no code implementations • 16 Jan 2024 • Qiao Jin, Fangyuan Chen, Yiliang Zhou, Ziyang Xu, Justin M. Cheung, Robert Chen, Ronald M. Summers, Justin F. Rousseau, Peiyun Ni, Marc J Landsman, Sally L. Baxter, Subhi J. Al'Aref, Yijia Li, Michael F. Chiang, Yifan Peng, Zhiyong Lu

Recent studies indicate that Generative Pre-trained Transformer 4 with Vision (GPT-4V) outperforms human physicians in medical challenge tasks.

Image Comprehension Multimodal Reasoning

Robust Optimization for Non-Convex Objectives

no code implementations • NeurIPS 2017 • Robert Chen, Brendan Lucier, Yaron Singer, Vasilis Syrgkanis

We consider robust optimization problems, where the goal is to optimize in the worst case over a class of objective functions.

Bayesian Optimization General Classification

Causal Regularization

no code implementations • 8 Feb 2017 • Mohammad Taha Bahadori, Krzysztof Chalupka, Edward Choi, Robert Chen, Walter F. Stewart, Jimeng Sun

In application domains such as healthcare, we want accurate predictive models that are also causally interpretable.

Representation Learning

Sparse Hierarchical Tucker Factorization and its Application to Healthcare

no code implementations • 25 Oct 2016 • Ioakeim Perros, Robert Chen, Richard Vuduc, Jimeng Sun

It can also do so more accurately and in less time than the state-of-the-art: on a 12th order subset of the input data, Sparse H-Tucker is 18x more accurate and 7. 5x faster than a previously state-of-the-art method.

Guaranteed Scalable Learning of Latent Tree Models

no code implementations • 18 Jun 2014 • Furong Huang, Niranjan U. N., Ioakeim Perros, Robert Chen, Jimeng Sun, Anima Anandkumar

We present an integrated approach for structure and parameter estimation in latent tree graphical models.