Maja Rudolph
9 papers · 2016–2024 · 4 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π Conference Polyglot Β· Bronze πΊοΈ Taxonomy Completionist (22)
π
Keyword Champion
(2)
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Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(9)
Deep Learning
(6)
Core Methods
(5)
Learning Types Β· Machine Learning
(5)
Architectures
(3)
Computer Vision
(2)
Analysis
(2)
Learning Types Β· Deep Learning
(2)
Optimization & Theory
(2)
Artificial Intelligence
(1)
Data Science & Analytics
(1)
Natural Language Processing
(1)
Application Areas
(1)
Bayesian & Probabilistic
(1)
Core AI
(1)
Keywords
anomaly detection
(4)
representation learning
(3)
self-supervised learning
(2)
time series
(2)
word embedding
(2)
transformation learning
(2)
exponential family embedding
(2)
probabilistic modeling
(1)
deep learning
(1)
semi-supervised learning
(1)
batch normalization
(1)
dimension reduction
(1)
generalized linear model
(1)
kalman filter
(1)
zero-shot learning
(1)
diffusion model
(1)
generative model
(1)
hierarchical modeling
(1)
labeling budget
(1)
exponential family
(1)
Papers
Efficient Integrators for Diffusion Generative Models
ICLR 2024
Deep Anomaly Detection under Labeling Budget Constraints
ICML 2023
Zero-Shot Anomaly Detection via Batch Normalization
NeurIPS 2023
Latent Outlier Exposure for Anomaly Detection with Contaminated Data
ICML 2022
Modeling Irregular Time Series with Continuous Recurrent Units
ICML 2022
Raising the Bar in Graph-level Anomaly Detection
IJCAI 2022
Neural Transformation Learning for Deep Anomaly Detection Beyond Images
ICML 2021
Structured Embedding Models for Grouped Data
NeurIPS 2017
Exponential Family Embeddings
NeurIPS 2016