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ORCIDGavin Mischler
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Journal Articles
- 2023
[j3]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: 119819 (2023)- [j2]Gavin Mischler, Vinay S. Raghavan, Menoua Keshishian, Nima Mesgarani:
naplib-python: Neural acoustic data processing and analysis tools in python. Softw. Impacts 17: 100541 (2023) - 2021
- [j1]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: 109:1-109:7 (2021)
Conference and Workshop Papers
- 2023
- [c2]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 - 2020
- [c1]Benjamín Béjar, Gavin Mischler:
A finite rate of innovation approach for the estimation of a stream of decaying exponentials. ACSSC 2020: 1497-1501
Informal and Other Publications
- 2024
- [i3]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 abs/2401.17671 (2024) - 2023
- [i2]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 abs/2306.07691 (2023) - 2020
- [i1]Ronan Perry, Gavin Mischler, Richard Guo, Theo Lee, Alexander Chang, Arman Koul, Cameron Franz, Joshua T. Vogelstein:
mvlearn: Multiview Machine Learning in Python. CoRR abs/2005.11890 (2020)
Coauthor Index
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