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2020 – today
- 2024
[j5]Julius Vetter
, Jakob H. Macke, Richard Gao:
Generating realistic neurophysiological time series with denoising diffusion probabilistic models. Patterns 5(10): 101047 (2024)- [c3]Yufei Jin, Richard Gao, Yi He, Xingquan Zhu:
GLDL: Graph Label Distribution Learning. AAAI 2024: 12965-12974 - [i7]Julius Vetter, Guy Moss, Cornelius Schröder, Richard Gao, Jakob H. Macke:
Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation. CoRR abs/2402.07808 (2024) - [i6]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:
A Practical Guide to Statistical Distances for Evaluating Generative Models in Science. CoRR abs/2403.12636 (2024) - [i5]Jaivardhan Kapoor, Auguste Schulz, Julius Vetter, Felix Pei, Richard Gao, Jakob H. Macke:
Latent Diffusion for Neural Spiking Data. CoRR abs/2407.08751 (2024) - [i4]Roxana Zeraati, Anna Levina, Jakob H. Macke, Richard Gao:
Neural timescales from a computational perspective. CoRR abs/2409.02684 (2024) - 2023
- [j4]Jan Boelts, Philipp Harth, Richard Gao, Daniel Udvary, Felipe Yáñez, Daniel Baum, Hans-Christian Hege, Marcel Oberländer, Jakob H. Macke:
Simulation-based inference for efficient identification of generative models in computational connectomics. PLoS Comput. Biol. 19(9) (2023) - [c2]Richard Gao, Michael Deistler, Jakob H. Macke:
Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation. NeurIPS 2023 - [i3]Richard Gao, Michael Deistler, Jakob H. Macke:
Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation. CoRR abs/2305.15208 (2023) - 2021
- [i2]Edgar Fajardo Hernandez, Aashay Arora, Diego Davila, Richard Gao, Frank Würthwein, Brian Bockelman:
Systematic benchmarking of HTTPS third party copy on 100Gbps links using XRootD. CoRR abs/2103.12116 (2021) - [i1]Huahong Tu, Siyuan Peng, Vladimir Leung, Richard Gao:
SoK: Vehicle Orientation Representations for Deep Rotation Estimation. CoRR abs/2112.04421 (2021) - 2020
- [b1]Richard Gao:
Bridging cognition and neurobiology with large-scale cortical dynamics and multimodal brain data. University of California, San Diego, USA, 2020 - [j3]Rafael E. Núñez, Michael Allen, Richard Gao, Carson Miller Rigoli, Josephine Relaford-Doyle, Arturs Semenuks:
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. 12(3): 790-803 (2020)
2010 – 2019
- 2019
- [j2]Scott Cole, Thomas Donoghue, Richard Gao, Bradley Voytek:
NeuroDSP: A package for neural digital signal processing. J. Open Source Softw. 4(36): 1272 (2019) - 2017
- [j1]Richard Gao, Erik J. Peterson, Bradley Voytek:
Inferring synaptic excitation/inhibition balance from field potentials. NeuroImage 158: 70-78 (2017) - [c1]Richard Gao, Thomas Donoghue, Bradley Voytek:
Automated Generation of Cognitive Ontology via Web Text-Mining. CogSci 2017
Coauthor Index
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last updated on 2024-10-23 20:32 CEST by the dblp team
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