Konstantin Schürholt
5 papers · 2021–2024 · 2 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
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🗺️
Taxonomy Completionist
(14)
Venues
Top co-authors
Research topics
Deep Learning
(5)
Machine Learning
(5)
Core Methods
(4)
Artificial Intelligence
(3)
Architectures
(3)
Core AI
(2)
Learning Types · Deep Learning
(2)
Application Areas
(1)
Learning Paradigms · Artificial Intelligence
(1)
Learning Paradigms · Machine Learning
(1)
Learning Types · Machine Learning
(1)
Models
(1)
Optimization & Theory
(1)
Techniques
(1)
Keywords
representation learning
(2)
model zoo
(2)
neural network weight
(2)
generative model
(1)
state-of-the-art performance
(1)
weight space
(1)
hyperparameters
(1)
model diagnosis
(1)
hyperparameter prediction
(1)
knowledge aggregation
(1)
resnet architecture
(1)
hyper-representations
(1)
neural network
(1)
failure mode
(1)
insufficient data
(1)
sequential processing
(1)
actionable insight
(1)
model characteristic prediction
(1)
generative capabilities
(1)
model characteristic
(1)
Papers
MD tree: a model-diagnostic tree grown on loss landscape
ICML 2024
Towards Scalable and Versatile Weight Space Learning
ICML 2024
Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights
NeurIPS 2022
Model Zoos: A Dataset of Diverse Populations of Neural Network Models
NeurIPS 2022
Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction
NeurIPS 2021