Richard Gao

According to our database, Richard Gao authored at least 17 papers between 2017 and 2025.

Collaborative distances:

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

2025

sbi reloaded: a toolkit for simulation-based inference workflows.

Jan Boelts, Michael Deistler, Manuel Glöckler, Álvaro Tejero-Cantero, Jan-Matthis Lueckmann, Guy Moss, Peter Steinbach, Thomas Moreau, Fabio Muratore, Julia Linhart, Conor Durkan, Julius Vetter, Benjamin Kurt Miller, Maternus Herold, Abolfazl Ziaeemehr, Matthijs Pals, Theo Gruner, Sebastian Bischoff, Nastya Krouglova, Richard Gao, Janne K. Lappalainen, Bálint Mucsányi, Felix Pei, Auguste Schulz, Zinovia Stefanidi, Pedro Rodrigues, Cornelius Schröder, Faried Abu Zaid, Jonas Beck, Jaivardhan Kapoor, David S. Greenberg, Pedro J. Gonçalves, Jakob H. Macke

J. Open Source Softw., May, 2025

2024

A Practical Guide to Sample-based Statistical Distances for Evaluating Generative Models in Science.

Sebastian Bischoff, Alana Darcher, Michael Deistler, Richard Gao, Franziska Gerken, Manuel Glöckler, Lisa Haxel, Jaivardhan Kapoor, Janne K. Lappalainen, Jakob H. Macke, Guy Moss, Matthijs Pals, Felix Pei, Rachel Rapp, A Erdem Sagtekin, Cornelius Schröder, Auguste Schulz, Zinovia Stefanidi, Shoji Toyota, Linda Ulmer, Julius Vetter

Trans. Mach. Learn. Res., 2024

Generating realistic neurophysiological time series with denoising diffusion probabilistic models.

Julius Vetter, Jakob H. Macke, Richard Gao

Patterns, 2024

Neural timescales from a computational perspective.

Roxana Zeraati, Anna Levina, Jakob H. Macke, Richard Gao

CoRR, 2024

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

Sebastian Bischoff, Alana Darcher, Michael Deistler, Richard Gao, Franziska Gerken, Manuel Glöckler, Lisa Haxel, Jaivardhan Kapoor, Janne K. Lappalainen, Jakob H. Macke, Guy Moss, Matthijs Pals, Felix Pei, Rachel Rapp, A Erdem Sagtekin, Cornelius Schröder, Auguste Schulz, Zinovia Stefanidi, Shoji Toyota, Linda Ulmer, Julius Vetter

CoRR, 2024

Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation.

Julius Vetter, Guy Moss, Cornelius Schröder, Richard Gao, Jakob H. Macke

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Latent Diffusion for Neural Spiking Data.

Jaivardhan Kapoor, Auguste Schulz, Julius Vetter, Felix Pei, Richard Gao, Jakob H. Macke

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

GLDL: Graph Label Distribution Learning.

Yufei Jin, Richard Gao, Yi He, Xingquan Zhu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Simulation-based inference for efficient identification of generative models in computational connectomics.

Jan Boelts, Philipp Harth, Richard Gao, Daniel Udvary, Felipe Yáñez, Daniel Baum, Hans-Christian Hege, Marcel Oberländer, Jakob H. Macke

PLoS Comput. Biol., 2023

Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation.

Richard Gao, Michael Deistler, Jakob H. Macke

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.

Huahong Tu, Siyuan Peng, Vladimir Leung, Richard Gao

CoRR, 2021

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

Edgar Fajardo Hernandez, Aashay Arora, Diego Davila, Richard Gao, Frank Würthwein, Brian Bockelman

CoRR, 2021

2020

Bridging cognition and neurobiology with large-scale cortical dynamics and multimodal brain data

Richard Gao

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?".

Rafael E. Núñez, Michael Allen, Richard Gao, Carson Miller Rigoli, Josephine Relaford-Doyle, Arturs Semenuks

Top. Cogn. Sci., 2020

2019

NeuroDSP: A package for neural digital signal processing.

Scott Cole, Thomas Donoghue, Richard Gao, Bradley Voytek

J. Open Source Softw., 2019

2017

Inferring synaptic excitation/inhibition balance from field potentials.

Richard Gao, Erik J. Peterson, Bradley Voytek

NeuroImage, 2017

Automated Generation of Cognitive Ontology via Web Text-Mining.

Richard Gao, Thomas Donoghue, Bradley Voytek

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017