Philipp Berens

Orcid: 0000-0002-0199-4727

According to our database1, Philipp Berens authored at least 45 papers between 2007 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Estimating Causal Effects with Double Machine Learning - A Method Evaluation.
CoRR, 2024

Disentangling representations of retinal images with generative models.
CoRR, 2024

Self-supervised Visualisation of Medical Image Datasets.
CoRR, 2024

Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators for Ordinary Differential Equations.
CoRR, 2024

A computational approach to visual ecology with deep reinforcement learning.
CoRR, 2024

Most discriminative stimuli for functional cell type identification.
CoRR, 2024

2023
Generating Realistic Counterfactuals for Retinal Fundus and OCT Images using Diffusion Models.
CoRR, 2023

Persistent homology for high-dimensional data based on spectral methods.
CoRR, 2023

Deep Hypothesis Tests Detect Clinically Relevant Subgroup Shifts in Medical Images.
CoRR, 2023

AI for Science: An Emerging Agenda.
CoRR, 2023

Sparse Activations for Interpretable Disease Grading.
Proceedings of the Medical Imaging with Deep Learning, 2023

Unsupervised visualization of image datasets using contrastive learning.
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

Attraction-Repulsion Spectrum in Neighbor Embeddings.
J. Mach. Learn. Res., 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

Two-dimensional visualization of large document libraries using t-SNE.
Proceedings of the Topological, 2022

Efficient identification of informative features in simulation-based inference.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Hidden in Plain Sight: Subgroup Shifts Escape OOD Detection.
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

Sparse Visual Counterfactual Explanations in Image Space.
Proceedings of the Pattern Recognition, 2022

2021
Estimating smooth and sparse neural receptive fields with a flexible spline basis.
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

Interpretable Gender Classification from Retinal Fundus Images Using BagNets.
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

MorphoPy: A python package for feature extraction of neural morphologies.
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

Bayesian hypothesis testing and experimental design for two-photon imaging data.
PLoS Comput. Biol., 2019

Heavy-Tailed Kernels Reveal a Finer Cluster Structure in t-SNE Visualisations.
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
Signatures of criticality arise from random subsampling in simple population models.
PLoS Comput. Biol., 2017

2016
The functional diversity of retinal ganglion cells in the mouse.
Nat., 2016

2011
Statistical Analysis of Multi-Cell Recordings: Linking Population Coding Models to Experimental Data.
Frontiers Comput. Neurosci., 2011

2009
Generating Spike Trains with Specified Correlation Coefficients.
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

Neurometric function analysis of population codes.
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
Near-Maximum Entropy Models for Binary Neural Representations of Natural Images.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007


  Loading...