Mathias Berglund
6 papers · 2015–2025 · 3 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (24) π Conference Polyglot Β· Bronze
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Topic Pioneer
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Mega-Team Β· Squad
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Keyword Pioneer
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Trend Setter
Venues
Top co-authors
Research topics
Deep Learning
(5)
Machine Learning
(4)
Learning Types Β· Machine Learning
(4)
Architectures
(3)
Learning Types Β· Deep Learning
(3)
Artificial Intelligence
(2)
Computer Vision
(2)
Analysis
(2)
Reinforcement Learning
(1)
Applications
(1)
Core AI
(1)
Core Methods
(1)
Learning Paradigms
(1)
Models
(1)
Optimization & Theory
(1)
Keywords
unsupervised learning
(3)
sample efficiency
(2)
semi-supervised learning
(2)
image segmentation
(1)
benchmark evaluation
(1)
feature learning
(1)
neural network training
(1)
probabilistic modeling
(1)
bayesian inference
(1)
hyperparameter optimization
(1)
gradient-based optimization
(1)
time series
(1)
trajectory optimization
(1)
model-based reinforcement learning
(1)
amortized inference
(1)
generative model
(1)
denoising autoencoder
(1)
missing data imputation
(1)
recurrent neural network
(1)
deep neural network
(1)
Papers
MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains
NAACL 2025
Regularizing Trajectory Optimization with Denoising Autoencoders
NeurIPS 2019
Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters
ICML 2016
Tagger: Deep Unsupervised Perceptual Grouping
NeurIPS 2016
Bidirectional Recurrent Neural Networks as Generative Models
NeurIPS 2015
Semi-supervised Learning with Ladder Networks
NeurIPS 2015