Richard Gao

21 papers A* 4B 1Journal 15
YearRankTypeTitle / Venue / Authors
2025 J jnl
sbi reloaded: a toolkit for simulation-based inference workflows.
J. Open Source Softw.
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
2024 J jnl
A Practical Guide to Sample-based Statistical Distances for Evaluating Generative Models in Science.
Trans. Mach. Learn. Res.
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
2024 J jnl
A Practical Guide to Statistical Distances for Evaluating Generative Models in Science.
CoRR
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
2024 A* conf
GLDL: Graph Label Distribution Learning.
AAAI
Yufei Jin, Richard Gao, Yi He, Xingquan Zhu
2024 J jnl
Generating realistic neurophysiological time series with denoising diffusion probabilistic models.
Patterns
Julius Vetter, Jakob H. Macke, Richard Gao
2024 A* conf
Latent Diffusion for Neural Spiking Data.
NeurIPS
Jaivardhan Kapoor, Auguste Schulz, Julius Vetter, Felix Pei, Richard Gao, Jakob H. Macke
2024 J jnl
Latent Diffusion for Neural Spiking Data.
CoRR
Jaivardhan Kapoor, Auguste Schulz, Julius Vetter, Felix Pei, Richard Gao, Jakob H. Macke
2024 J jnl
Neural timescales from a computational perspective.
CoRR
Roxana Zeraati, Anna Levina, Jakob H. Macke, Richard Gao
2024 A* conf
Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation.
NeurIPS
Julius Vetter, Guy Moss, Cornelius Schröder, Richard Gao, Jakob H. Macke
2024 J jnl
Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation.
CoRR
Julius Vetter, Guy Moss, Cornelius Schröder, Richard Gao, Jakob H. Macke
2024 J jnl
sbi reloaded: a toolkit for simulation-based inference workflows.
CoRR
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
2023 A* conf
Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation.
NeurIPS
Richard Gao, Michael Deistler, Jakob H. Macke
2023 J jnl
Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation.
CoRR
Richard Gao, Michael Deistler, Jakob H. Macke
2023 J jnl
Simulation-based inference for efficient identification of generative models in computational connectomics.
PLoS Comput. Biol.
Jan Boelts, Philipp Harth, Richard Gao, Daniel Udvary, Felipe Yáñez, Daniel Baum, Hans-Christian Hege, Marcel Oberländer, Jakob H. Macke
2021 J jnl
SoK: Vehicle Orientation Representations for Deep Rotation Estimation.
CoRR
Huahong Tu, Siyuan Peng, Vladimir Leung, Richard Gao
2021 J jnl
Systematic benchmarking of HTTPS third party copy on 100Gbps links using XRootD.
CoRR
Edgar Fajardo Hernandez, Aashay Arora, Diego Davila, Richard Gao, Frank Würthwein, Brian Bockelman
2020 — —
Bridging cognition and neurobiology with large-scale cortical dynamics and multimodal brain data
Richard Gao
2020 J jnl
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.
Rafael E. Núñez, Michael Allen, Richard Gao, Carson Miller Rigoli, Josephine Relaford-Doyle, Arturs Semenuks
2019 J jnl
NeuroDSP: A package for neural digital signal processing.
J. Open Source Softw.
Scott Cole, Thomas Donoghue, Richard Gao, Bradley Voytek
2017 B conf
Automated Generation of Cognitive Ontology via Web Text-Mining.
CogSci
Richard Gao, Thomas Donoghue, Bradley Voytek
2017 J jnl
Inferring synaptic excitation/inhibition balance from field potentials.
NeuroImage
Richard Gao, Erik J. Peterson, Bradley Voytek