Matthew Reimherr
14 papers · 2019–2026 · 6 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+5 more ↓ Show less ↑
π£ Hot Topic Early Bird π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (18) π Interdisciplinary Bridge π Conference Polyglot (5)
π
Academic Marathon
(6)
π
Cross-Pollinator
(15)
π
Renaissance Researcher
(5)
π
Grand Slam
π
Century Club
(13)
Conferences
NIPS (6)
ICML (4)
AAAI (1)
AISTATS (1)
ICLR (1)
JMLR (1)
Top co-authors
Research topics
Keywords
differential privacy
(8)
exponential mechanism
(3)
riemannian manifold
(2)
functional data analysis
(2)
frechet mean
(2)
gradient mechanism
(2)
shape analysis
(1)
feature selection
(1)
manifold learning
(1)
hilbert space
(1)
nonparametric estimation
(1)
gaussian process
(1)
statistical estimation
(1)
stochastic process
(1)
matrix factorization
(1)
probability measure
(1)
markov chain monte carlo
(1)
riemannian geometry
(1)
time series anomaly detection
(1)
bayesian inference
(1)
Papers
Harnessing Vision-Language Models for Time Series Anomaly Detection
AAAI 2026
Gaussian Differentially Private Human Faces Under a Face Radial Curve Representation
ICLR 2025
M$^2$AD: Multi-Sensor Multi-System Anomaly Detection through Global Scoring and Calibrated Thresholding
AISTATS 2025
Smoothness Adaptive Hypothesis Transfer Learning
ICML 2024
On Hypothesis Transfer Learning of Functional Linear Models
ICML 2024
Pure Differential Privacy for Functional Summaries with a Laplace-like Process
JMLR 2024
Shape And Structure Preserving Differential Privacy
NIPS 2022
Differential Privacy Over Riemannian Manifolds
NIPS 2021
Exact Privacy Guarantees for Markov Chain Implementations of the Exponential Mechanism with Artificial Atoms
NIPS 2021
A Highly-Efficient Group Elastic Net Algorithm with an Application to Function-On-Scalar Regression
NIPS 2021
Benefits and Pitfalls of the Exponential Mechanism with Applications to Hilbert Spaces and Functional PCA
ICML 2019
Elliptical Perturbations for Differential Privacy
NIPS 2019
KNG: The K-Norm Gradient Mechanism
NIPS 2019
Formal Privacy for Functional Data with Gaussian Perturbations
ICML 2019