activity
20202022
most citedAdaLead: A simple and robust adaptive greedy search algorithm for sequence design

39 citations · 75 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2022

SunCast: Solar Irradiance Nowcasting from Geosynchronous Satellite Data

Dhileeban Kumaresan, Richard Wang, Ernesto Martinez +4

When cloud layers cover photovoltaic (PV) panels, the amount of power the panels produce fluctuates rapidly. Therefore, to maintain enough energy on a power grid to match demand, u…

eess.IV2021★ 27 cited

MedAug: Contrastive learning leveraging patient metadata improves representations for chest X-ray interpretation

Yen Nhi Truong Vu, Richard Wang, Niranjan Balachandar +3

Self-supervised contrastive learning between pairs of multiple views of the same image has been shown to successfully leverage unlabeled data to produce meaningful visual represent…

cs.LG2020★ 1 cited

Adversarial Attacks on Binary Image Recognition Systems

Eric Balkanski, Harrison Chase, Kojin Oshiba +3

We initiate the study of adversarial attacks on models for binary (i.e. black and white) image classification. Although there has been a great deal of work on attacking models for…

cs.LG2020★ 39 cited

AdaLead: A simple and robust adaptive greedy search algorithm for sequence design

Sam Sinai, Richard Wang, Alexander Whatley +3

Efficient design of biological sequences will have a great impact across many industrial and healthcare domains. However, discovering improved sequences requires solving a difficul…

cs.CL2020★ 8 cited

Adversarial NLI for Factual Correctness in Text Summarisation Models

Mario Barrantes, Benedikt Herudek, Richard Wang

We apply the Adversarial NLI dataset to train the NLI model and show that the model has the potential to enhance factual correctness in abstract summarization. We follow the work o…