Philipp Berens
22 papers · 2007–2026 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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๐บ๏ธ Taxonomy Completionist (47) ๐ Academic Marathon ยท Full ๐ Conference Polyglot ยท Silver ๐ Interdisciplinary Bridge ยท Silver ๐ฃ Hot Topic Early Bird
๐ฑ
Topic Pioneer
๐งฌ
Topic Evolution
๐
Keyword Trendsetter Combo
(3)
๐
Keyword Champion
๐งญ
Keyword Pioneer
๐
Triple Crown
๐ฅ
Unstoppable ยท Bronze
๐
Trend Setter
๐
Conference Pioneer
๐
Renaissance Researcher
(6)
๐๏ธ
Keyword Collector
(118)
โก
Prolific Year ยท Productive
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Century Club ยท Bronze
Top co-authors
Research topics
Machine Learning
(11)
Artificial Intelligence
(8)
Deep Learning
(6)
Mathematics & Optimization
(5)
Bayesian & Probabilistic
(5)
Core Methods
(5)
Optimization & Theory
(5)
Healthcare & Medicine
(4)
Interdisciplinary
(4)
Core AI
(4)
Mathematics
(4)
Science
(4)
Computer Vision
(3)
Clinical
(3)
Analysis
(2)
Keywords
neural population
(3)
maximum entropy models
(2)
cell type classification
(2)
parameter estimation
(2)
dimensionality reduction
(2)
fundus image
(2)
semi-supervised learning
(1)
adversarial learning
(1)
representation learning
(1)
domain adaptation
(1)
feature extraction
(1)
bayesian inference
(1)
statistical modeling
(1)
cluster analysis
(1)
maximum entropy
(1)
benchmark evaluation
(1)
gradient-based optimization
(1)
population coding
(1)
self-supervised learning
(1)
manifold learning
(1)
Papers
SoftCAM: Making black box models self-explainable for medical image analysis
MIDL 2026
Learning Disease State from Noisy Ordinal Disease Progression Labels
MICCAI 2025
Prototype-Guided and Lightweight Adapters for Inherent Interpretation and Generalisation in Federated Learning
MICCAI 2025
Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators for Ordinary Differential Equations
ICML 2024
Efficiently correcting patch-based segmentation errors to control image-level performance in retinal images
MIDL 2024
Interpretable-by-design Deep Survival Analysis for Disease Progression Modeling
MICCAI 2024
Leveraging Probabilistic Segmentation Models for Improved Glaucoma Diagnosis: A Clinical Pipeline Approach
MIDL 2024
Most discriminative stimuli for functional cell type clustering
ICLR 2024
Persistent Homology for High-dimensional Data Based on Spectral Methods
NeurIPS 2024
This actually looks like that: Proto-BagNets for local and global interpretability-by-design
MICCAI 2024
Sparse Activations for Interpretable Disease Grading
MIDL 2023
Unsupervised visualization of image datasets using contrastive learning
ICLR 2023
Attraction-Repulsion Spectrum in Neighbor Embeddings
JMLR 2022
Efficient identification of informative features in simulation-based inference
NeurIPS 2022
Hidden in Plain Sight: Subgroup Shifts Escape OOD Detection
MIDL 2022
MorphVAE: Generating Neural Morphologies from 3D-Walks using a Variational Autoencoder with Spherical Latent Space
ICML 2021
Removing Inter-Experimental Variability from Functional Data in Systems Neuroscience
NeurIPS 2021
System Identification with Biophysical Constraints: A Circuit Model of the Inner Retina
NeurIPS 2020
Approximate Bayesian Inference for a Mechanistic Model of Vesicle Release at a Ribbon Synapse
NeurIPS 2019
A joint maximum-entropy model for binary neural population patterns and continuous signals
NeurIPS 2009
Neurometric function analysis of population codes
NeurIPS 2009
Near-Maximum Entropy Models for Binary Neural Representations of Natural Images
NeurIPS 2007