Florian Yger
12 papers · 2015–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (10) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (6) π Cross-Pollinator (14)
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Hot Topic Early Bird
π§
Keyword Pioneer
π
Conference Polyglot
(6)
π
Keyword Champion
(3)
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Trend Setter
π₯
Unstoppable
(9)
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Century Club
(12)
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Keyword Collector
(54)
Conferences
ACML (5)
ICML (2)
NIPS (2)
AAAI (1)
AISTATS (1)
UAI (1)
Top co-authors
Research topics
Keywords
transfer learning
(3)
symmetric positive definite matrix
(3)
principal component analysis
(2)
dimensionality reduction
(2)
noisy signal
(2)
covariance matrix
(2)
riemannian geometry
(2)
eeg signal
(2)
function approximation
(1)
bregman divergence
(1)
adversarial robustness
(1)
maximum likelihood
(1)
likelihood maximization
(1)
mallows model
(1)
convolutional neural network
(1)
brain-computer interface
(1)
adversarial attack
(1)
riemannian manifold
(1)
multitask learning
(1)
mean squared error
(1)
Papers
Wrapped Gaussian on the manifold of Symmetric Positive Definite Matrices
ICML 2025
Mediated Uncoupled Learning and Validation with Bregman Divergences: Loss Family with Maximal Generality
AISTATS 2023
Multi-winner approval voting goes epistemic
UAI 2022
Truth-Tracking via Approval Voting: Size Matters
AAAI 2022
Mediated Uncoupled Learning: Learning Functions without Direct Input-output Correspondences
ICML 2021
Geodesically-convex optimization for averaging partially observed covariance matrices
ACML 2020
Theoretical evidence for adversarial robustness through randomization
NIPS 2019
Uplift Modeling from Separate Labels
NIPS 2018
Recognizing Art Style Automatically in Painting with Deep Learning
ACML 2017
Geometry-aware stationary subspace analysis
ACML 2016
Multitask Principal Component Analysis
ACML 2016
Geometry-Aware Principal Component Analysis for Symmetric Positive Definite Matrices
ACML 2015