Mathieu Carrière
11 papers · 2017–2024 · 5 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+6 more ↓ Show less ↑
🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (5) 🏃 Academic Marathon (7) 🐝 Cross-Pollinator (11)
🌍
Conference Polyglot
(5)
🏃
Academic Marathon
(7)
🐝
Cross-Pollinator
(11)
🧬
Topic Evolution
💎
Century Club
(11)
📈
Trend Setter
Conferences
ICML (4)
NIPS (4)
AISTATS (1)
IJCAI (1)
JMLR (1)
Top co-authors
Keywords
topological data analysis
(7)
persistent homology
(3)
topological optimization
(2)
gradient descent
(2)
persistence diagram
(2)
parameter tuning
(1)
point cloud
(1)
graph classification
(1)
data representation
(1)
statistical convergence
(1)
vector space
(1)
differentiable mapper
(1)
neural network layer
(1)
out-of-distribution detection
(1)
latent space
(1)
uncertainty quantification
(1)
persistence homology
(1)
stability guarantee
(1)
sliced wasserstein
(1)
representation learning
(1)
Papers
Differentiable Mapper for Topological Optimization of Data Representation
ICML 2024
Diffeomorphic interpolation for efficient persistence-based topological optimization
NIPS 2024
Differentiability and Optimization of Multiparameter Persistent Homology
ICML 2024
A Framework for Fast and Stable Representations of Multiparameter Persistent Homology Decompositions
NIPS 2023
Stable Vectorization of Multiparameter Persistent Homology using Signed Barcodes as Measures
NIPS 2023
Topological Uncertainty: Monitoring Trained Neural Networks through Persistence of Activation Graphs
IJCAI 2021
Optimizing persistent homology based functions
ICML 2021
Multiparameter Persistence Image for Topological Machine Learning
NIPS 2020
PersLay: A Neural Network Layer for Persistence Diagrams and New Graph Topological Signatures
AISTATS 2020
Statistical Analysis and Parameter Selection for Mapper
JMLR 2018
Sliced Wasserstein Kernel for Persistence Diagrams
ICML 2017