Michael Lindenbaum
9 papers · 2012–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (37) 🐣 Hot Topic Early Bird
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Renaissance Researcher
(5)
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Keyword Collector
(50)
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Trend Setter
Venues
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Research topics
Machine Learning
(6)
Core Methods
(6)
Mathematics & Optimization
(5)
Computer Vision
(4)
Deep Learning
(3)
Analysis
(3)
Learning Types · Machine Learning
(3)
Mathematics
(3)
Optimization
(3)
Optimization & Theory
(3)
Processing
(3)
Architectures
(2)
Data Science & Analytics
(1)
Knowledge & Reasoning
(1)
Learning Types · Deep Learning
(1)
Keywords
density estimation
(3)
kernel methods
(2)
high-dimensional distribution
(2)
metric learning
(2)
convex optimization
(2)
convolutional neural network
(2)
high-dimensional data
(2)
multi-scale analysis
(1)
deep learning
(1)
change detection
(1)
hierarchical clustering
(1)
image denoising
(1)
3d vision
(1)
reproducing kernel hilbert space
(1)
anomaly detection
(1)
distribution shift
(1)
graph embedding
(1)
point cloud
(1)
distribution testing
(1)
edge detection
(1)
Papers
Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding
CVPR 2025
Metric Convolutions: A Unifying Theory to Adaptive Image Convolutions
ICCV 2025
DPDist: Comparing Point Clouds Using Deep Point Cloud Distance
ECCV 2020
Enhancing Generic Segmentation With Learned Region Representations
CVPR 2020
Nesti-Net: Normal Estimation for Unstructured 3D Point Clouds Using Convolutional Neural Networks
CVPR 2019
Increasing CNN Robustness to Occlusions by Reducing Filter Support
ICCV 2017
Approximating Hierarchical MV-sets for Hierarchical Clustering
NeurIPS 2014
q-OCSVM: A q-Quantile Estimator for High-Dimensional Distributions
NeurIPS 2013
Learning High-Density Regions for a Generalized Kolmogorov-Smirnov Test in High-Dimensional Data
NeurIPS 2012