Fabian Falck
8 papers · 2021–2025 · 4 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (18) π£ Hot Topic Early Bird π₯ Unstoppable Β· Bronze
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Research topics
Machine Learning
(5)
Deep Learning
(4)
Architectures
(4)
Artificial Intelligence
(3)
Core AI
(3)
Core Methods
(3)
Models
(3)
Optimization & Theory
(2)
Computer Science
(1)
Computer Vision
(1)
Natural Language Processing
(1)
Application Areas
(1)
Applications
(1)
Bayesian & Probabilistic
(1)
Generation
(1)
Keywords
large language model
(2)
u-net architecture
(2)
image segmentation
(1)
reasoning
(1)
bayesian inference
(1)
medical imaging
(1)
multimodal learning
(1)
latent variable
(1)
wavelet transform
(1)
in-context learning
(1)
diffusion process
(1)
wavelet basis
(1)
state space model
(1)
diffusion model
(1)
transfer learning
(1)
disentangled representation
(1)
high-dimensional data
(1)
recurrent neural network
(1)
partial differential equation
(1)
causal inference
(1)
Papers
Implicit Language Models are RNNs: Balancing Parallelization and Expressivity
ICML 2025
RE-IMAGINE: Symbolic Benchmark Synthesis for Reasoning Evaluation
ICML 2025
Is In-Context Learning in Large Language Models Bayesian? A Martingale Perspective
ICML 2024
MAIRA at RRG24: A specialised large multimodal model for radiology report generation
ACL 2024
A Unified Framework for U-Net Design and Analysis
NeurIPS 2023
A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs
NeurIPS 2022
Neural score matching for high-dimensional causal inference
AISTATS 2022
Multi-Facet Clustering Variational Autoencoders
NeurIPS 2021