Philipp Berens
Orcid: 0000-0002-0199-4727
According to our database1,
Philipp Berens
authored at least 54 papers
between 2007 and 2024.
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Bibliography
2024
The art of seeing the elephant in the room: 2D embeddings of single-cell data do make sense.
PLoS Comput. Biol., 2024
Patterns, 2024
Distribution shift detection for the postmarket surveillance of medical AI algorithms: a retrospective simulation study.
npj Digit. Medicine, 2024
Benchmarking Retinal Blood Vessel Segmentation Models for Cross-Dataset and Cross-Disease Generalization.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
This Actually Looks Like that: Proto-BagNets for Local and Global Interpretability-by-Design.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators for Ordinary Differential Equations.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
Generating Realistic Counterfactuals for Retinal Fundus and OCT Images using Diffusion Models.
CoRR, 2023
CoRR, 2023
Proceedings of the Medical Imaging with Deep Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
Machine Learning for Science: Bridging Data-Driven and Mechanistic Modelling (Dagstuhl Seminar 22382).
Dagstuhl Reports, September, 2022
Correction to: Probabilistic solvers enable a straight-forward exploration of numerical uncertainty in neuroscience models.
J. Comput. Neurosci., August, 2022
Clinical validation of saliency maps for understanding deep neural networks in ophthalmology.
Medical Image Anal., 2022
Probabilistic solvers enable a straight-forward exploration of numerical uncertainty in neuroscience models.
J. Comput. Neurosci., 2022
Hierarchical mixtures of Gaussians for combined dimensionality reduction and clustering.
CoRR, 2022
Proceedings of the Topological, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022
Visual Explanations for the Detection of Diabetic Retinopathy from Retinal Fundus Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Pattern Recognition, 2022
2021
CoRR, 2021
Removing Inter-Experimental Variability from Functional Data in Systems Neuroscience.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
MorphVAE: Generating Neural Morphologies from 3D-Walks using a Variational Autoencoder with Spherical Latent Space.
Proceedings of the 38th International Conference on Machine Learning, 2021
2020
A Systematic Evaluation of Interneuron Morphology Representations for Cell Type Discrimination.
Neuroinformatics, 2020
Expert-validated estimation of diagnostic uncertainty for deep neural networks in diabetic retinopathy detection.
Medical Image Anal., 2020
J. Open Source Softw., 2020
A Unifying Perspective on Neighbor Embeddings along the Attraction-Repulsion Spectrum.
CoRR, 2020
Sparse Bottleneck Networks for Exploratory Analysis and Visualization of Neural Patch-seq Data.
CoRR, 2020
System Identification with Biophysical Constraints: A Circuit Model of the Inner Retina.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
2019
Correction: Bayesian hypothesis testing and experimental design for two-photon imaging data.
PLoS Comput. Biol., 2019
PLoS Comput. Biol., 2019
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
Approximate Bayesian Inference for a Mechanistic Model of Vesicle Release at a Ribbon Synapse.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
2018
Community-based benchmarking improves spike rate inference from two-photon calcium imaging data.
PLoS Comput. Biol., 2018
2017
PLoS Comput. Biol., 2017
2016
2011
Statistical Analysis of Multi-Cell Recordings: Linking Population Coding Models to Experimental Data.
Frontiers Comput. Neurosci., 2011
2009
Neural Comput., 2009
A joint maximum-entropy model for binary neural population patterns and continuous signals.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009
2007
Proceedings of the Advances in Neural Information Processing Systems 20, 2007