Philipp Berens
22 papers · 2007–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (11) π Renaissance Researcher (5) π Interdisciplinary Bridge π Conference Polyglot (6)
π
Academic Marathon
(18)
πΊοΈ
Taxonomy Completionist
(11)
π§
Keyword Pioneer
π
Triple Crown
π±
Topic Pioneer
π
Keyword Champion
π₯
Unstoppable
(7)
π
Conference Pioneer
ποΈ
Keyword Collector
(85)
β‘
Prolific Year
(7)
π
Century Club
(21)
π
Trend Setter
Conferences
NIPS (8)
MIDL (5)
MICCAI (4)
ICLR (2)
ICML (2)
JMLR (1)
Top co-authors
Keywords
neural population
(3)
maximum entropy models
(2)
representation learning
(1)
adversarial learning
(1)
semi-supervised learning
(1)
adversarial optimization
(1)
maximum entropy
(1)
population coding
(1)
domain adaptation
(1)
feature extraction
(1)
bayesian inference
(1)
statistical modeling
(1)
cluster analysis
(1)
parameter estimation
(1)
feature selection
(1)
manifold learning
(1)
knowledge distillation
(1)
data visualization
(1)
topological data analysis
(1)
benchmark evaluation
(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
Persistent Homology for High-dimensional Data Based on Spectral Methods
NIPS 2024
Most discriminative stimuli for functional cell type clustering
ICLR 2024
Interpretable-by-design Deep Survival Analysis for Disease Progression Modeling
MICCAI 2024
This actually looks like that: Proto-BagNets for local and global interpretability-by-design
MICCAI 2024
Efficiently correcting patch-based segmentation errors to control image-level performance in retinal images
MIDL 2024
Leveraging Probabilistic Segmentation Models for Improved Glaucoma Diagnosis: A Clinical Pipeline Approach
MIDL 2024
Sparse Activations for Interpretable Disease Grading
MIDL 2023
Unsupervised visualization of image datasets using contrastive learning
ICLR 2023
Efficient identification of informative features in simulation-based inference
NIPS 2022
Hidden in Plain Sight: Subgroup Shifts Escape OOD Detection
MIDL 2022
Attraction-Repulsion Spectrum in Neighbor Embeddings
JMLR 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
NIPS 2021
System Identification with Biophysical Constraints: A Circuit Model of the Inner Retina
NIPS 2020
Approximate Bayesian Inference for a Mechanistic Model of Vesicle Release at a Ribbon Synapse
NIPS 2019
A joint maximum-entropy model for binary neural population patterns and continuous signals
NIPS 2009
Neurometric function analysis of population codes
NIPS 2009
Near-Maximum Entropy Models for Binary Neural Representations of Natural Images
NIPS 2007