Adam Uri Yaari — accepted AI-conference papers

2024

Brain Treebank: Large-scale intracranial recordings from naturalistic language stimuli

Christopher Wang, Adam Uri Yaari, Aaditya K Singh, Vighnesh Subramaniam, Dana Rosenfarb, Jan DeWitt +7

NeurIPS 2024oral

We present the Brain Treebank, a large-scale dataset of electrophysiological neural responses, recorded from intracranial probes while 10 subjects watched one or more Hollywood movies. Subjects watched on average 2.6 Hollywood movies, for an average viewing time of 4.3 hours, and a total of 43 hours…

Cited by 3 Source ↗PDF ↗Scholar ↗

2023

BrainBERT: Self-supervised representation learning for intracranial recordings

Christopher Wang, Vighnesh Subramaniam, Adam Uri Yaari, Gabriel Kreiman, Boris Katz, Ignacio Cases +1

ICLR 2023poster

We create a reusable Transformer, BrainBERT, for intracranial recordings bringing modern representation learning approaches to neuroscience. Much like in NLP and speech recognition, this Transformer enables classifying complex concepts, i.e., decoding neural data, with higher accuracy and with much…

Cited by 39 Source ↗PDF ↗code ↗Scholar ↗

2021

Multi-resolution modeling of a discrete stochastic process identifies causes of cancer

Adam Uri Yaari, Maxwell Sherman, Oliver Clarke Priebe, Po-Ru Loh, Boris Katz, Andrei Barbu +1

ICLR 2021poster

Detection of cancer-causing mutations within the vast and mostly unexplored human genome is a major challenge. Doing so requires modeling the background mutation rate, a highly non-stationary stochastic process, across regions of interest varying in size from one to millions of positions. Here, we p…

Cited by 3 Source ↗PDF ↗Scholar ↗