Gavin Mischler

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 8

Top Topics

Data Processing

Language Modelling

Recurrent Neural Network Model

Top Venues

J. Mach. Learn. Res.

Publications

Gavin Mischler, Yinghao Aaron Li, Stephan Bickel, Ashesh D. Mehta, Nima Mesgarani
Contextual Feature Extraction Hierarchies Converge in Large Language Models and the Brain. CoRR (2024)
Yinghao Aaron Li, Cong Han, Vinay S. Raghavan, Gavin Mischler, Nima Mesgarani
StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models. NeurIPS (2023)
Gavin Mischler, Vinay S. Raghavan, Menoua Keshishian, Nima Mesgarani
naplib-python: Neural acoustic data processing and analysis tools in python. Softw. Impacts 17 (2023)
Gavin Mischler, Menoua Keshishian, Stephan Bickel, Ashesh D. Mehta, Nima Mesgarani
Deep neural networks effectively model neural adaptation to changing background noise and suggest nonlinear noise filtering methods in auditory cortex. NeuroImage 266 (2023)
Yinghao Aaron Li, Cong Han, Vinay S. Raghavan, Gavin Mischler, Nima Mesgarani
StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models. CoRR (2023)
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
mvlearn: Multiview Machine Learning in Python. J. Mach. Learn. Res. 22 (2021)
Ronan Perry, Gavin Mischler, Richard Guo, Theo Lee, Alexander Chang, Arman Koul, Cameron Franz, Joshua T. Vogelstein
mvlearn: Multiview Machine Learning in Python. CoRR (2020)
Benjamín Béjar, Gavin Mischler
A finite rate of innovation approach for the estimation of a stream of decaying exponentials. ACSSC (2020)