A finite rate of innovation approach for the estimation of a stream of decaying exponentials. - Benjamín Béjar; Gavin Mischler (ACSSC, 2020)

mvlearn: Multiview Machine Learning in Python. - Ronan Perry; Gavin Mischler; Richard Guo; Theo Lee; Alexander Chang; Arman Koul; Cameron Franz; Joshua T. Vogelstein (CoRR, 2020)

mvlearn: Multiview Machine Learning in Python. - Ronan Perry; Gavin Mischler; Richard Guo; Theo Lee; Alexander Chang; Arman Koul; Cameron Franz; Hugo Richard; Iain Carmichael; Pierre Ablin; Alexandre Gramfort; Joshua T. Vogelstein (J. Mach. Learn. Res., 2021)

StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models. - Yinghao Aaron Li; Cong Han; Vinay S. Raghavan; Gavin Mischler; Nima Mesgarani (NeurIPS, 2023)

Deep neural networks effectively model neural adaptation to changing background noise and suggest nonlinear noise filtering methods in auditory cortex. - Gavin Mischler; Menoua Keshishian; Stephan Bickel; Ashesh D. Mehta; Nima Mesgarani (NeuroImage, 2023)

naplib-python: Neural acoustic data processing and analysis tools in python. - Gavin Mischler; Vinay S. Raghavan; Menoua Keshishian; Nima Mesgarani (Softw. Impacts, 2023)

Contextual feature extraction hierarchies converge in large language models and the brain. - Gavin Mischler; Yinghao Aaron Li; Stephan Bickel; Ashesh D. Mehta; Nima Mesgarani (Nat. Mac. Intell., 2024)

Neuro2Semantic: A Transfer Learning Framework for Semantic Reconstruction of Continuous Language from Human Intracranial EEG. - Siavash Shams; Richard J. Antonello; Gavin Mischler; Stephan Bickel; Ashesh D. Mehta; Nima Mesgarani (CoRR, 2025)