Jonas Fischer
9 papers · 2021–2026 · 7 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (20) 🏆 Grand Slam
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Topic Evolution
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Unstoppable · Bronze
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The Questioner
(3)
Top co-authors
Research topics
Machine Learning
(8)
Artificial Intelligence
(7)
Core AI · Artificial Intelligence
(6)
Deep Learning
(4)
Core Methods
(4)
Techniques
(4)
Learning Types · Machine Learning
(3)
Application Areas
(2)
Optimization & Theory
(2)
Computer Vision
(1)
Healthcare & Medicine
(1)
Natural Language Processing
(1)
Core AI · Computer Vision
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Keywords
pattern discovery
(2)
minimum description length
(2)
neural network pruning
(2)
prompt engineering
(1)
model interpretability
(1)
distributed learning
(1)
network architecture
(1)
privacy preservation
(1)
neural network interpretability
(1)
model aggregation
(1)
classification error
(1)
structural learning
(1)
interpretable machine learning
(1)
domain knowledge
(1)
lottery ticket hypothesis
(1)
model comparison
(1)
foundation model
(1)
zero-shot model
(1)
feature visualization
(1)
federated learning
(1)
Papers
Detecting Latin in Historical Books with Large Language Models: A Multimodal Benchmark
EACL 2026
VITAL: More Understandable Feature Visualization through Distribution Alignment and Relevant Information Flow
ICCV 2025
What’s the Difference? Supporting Users in Identifying the Effects of Prompt and Model Changes Through Token Patterns
ACL 2025
Finding Interpretable Class-Specific Patterns through Efficient Neural Search
AAAI 2024
Pruning neural network models for gene regulatory dynamics using data and domain knowledge
NeurIPS 2024
Federated Learning from Small Datasets
ICLR 2023
Label-Descriptive Patterns and Their Application to Characterizing Classification Errors
ICML 2022
Plant 'n' Seek: Can You Find the Winning Ticket?
ICLR 2022
What’s in the Box? Exploring the Inner Life of Neural Networks with Robust Rules
ICML 2021