Max Horn
12 papers · 2019–2024 · 7 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint πΊοΈ Taxonomy Completionist (25) π£ Hot Topic Early Bird
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Research topics
Machine Learning
(11)
Deep Learning
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Core Methods
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Learning Types Β· Machine Learning
(6)
Artificial Intelligence
(5)
Architectures
(5)
Computer Vision
(3)
Analysis
(3)
Core AI
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(2)
Learning Paradigms
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Optimization & Theory
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Learning Types Β· Deep Learning
(1)
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Keywords
self-supervised learning
(3)
slot attention
(3)
topological data analysis
(2)
persistent homology
(2)
object-centric learning
(2)
representation learning
(2)
time series classification
(2)
neural network
(2)
unsupervised learning
(2)
graph classification
(1)
model architecture
(1)
attention mechanism
(1)
object localization
(1)
transfer learning
(1)
object detection
(1)
domain generalization
(1)
algebraic topology
(1)
model calibration
(1)
gaussian process
(1)
out-of-distribution generalization
(1)
Papers
Adaptive Slot Attention: Object Discovery with Dynamic Slot Number
CVPR 2024
Bridging the Gap to Real-World Object-Centric Learning
ICLR 2023
Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning
CLeaR 2023
Object-Centric Multiple Object Tracking
ICCV 2023
Unsupervised Open-Vocabulary Object Localization in Videos
ICCV 2023
Assaying Out-Of-Distribution Generalization in Transfer Learning
NeurIPS 2022
Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions
ICLR 2022
Topological Graph Neural Networks
ICLR 2022
Set Functions for Time Series
ICML 2020
Topological Autoencoders
ICML 2020
Early Recognition of Sepsis with Gaussian Process Temporal Convolutional Networks and Dynamic Time Warping
MLHC 2019
Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology
ICLR 2019