Richard Gao

Orcid: 0000-0001-5916-6433

According to our database1, Richard Gao authored at least 15 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Generating realistic neurophysiological time series with denoising diffusion probabilistic models.
Patterns, 2024

Neural timescales from a computational perspective.
CoRR, 2024

Latent Diffusion for Neural Spiking Data.
CoRR, 2024

A Practical Guide to Statistical Distances for Evaluating Generative Models in Science.
CoRR, 2024

Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation.
CoRR, 2024

GLDL: Graph Label Distribution Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Simulation-based inference for efficient identification of generative models in computational connectomics.
PLoS Comput. Biol., 2023

Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021
SoK: Vehicle Orientation Representations for Deep Rotation Estimation.
CoRR, 2021

Systematic benchmarking of HTTPS third party copy on 100Gbps links using XRootD.
CoRR, 2021

2020
Bridging cognition and neurobiology with large-scale cortical dynamics and multimodal brain data
PhD thesis, 2020

For the Sciences They Are A-Changin': A Response to Commentaries on Núñez et al.'s (2019) "What Happened to Cognitive Science?".
Top. Cogn. Sci., 2020

2019
NeuroDSP: A package for neural digital signal processing.
J. Open Source Softw., 2019

2017
Inferring synaptic excitation/inhibition balance from field potentials.
NeuroImage, 2017

Automated Generation of Cognitive Ontology via Web Text-Mining.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017


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