Gavin Mischler

According to our database, Gavin Mischler authored at least 7 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Contextual Feature Extraction Hierarchies Converge in Large Language Models and the Brain.

Gavin Mischler, Yinghao Aaron Li, Stephan Bickel, Ashesh D. Mehta, Nima Mesgarani

CoRR, 2024

2023

naplib-python: Neural acoustic data processing and analysis tools in python.

Gavin Mischler, Vinay S. Raghavan, Menoua Keshishian, Nima Mesgarani

Softw. Impacts, September, 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

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

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

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

A finite rate of innovation approach for the estimation of a stream of decaying exponentials.

Benjamín Béjar, Gavin Mischler

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020