Grégoire Montavon
14 papers · 2010–2025 · 6 conferences · across top CS/AI conferences
Achievements
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🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🗺️ Taxonomy Completionist (12) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (6)
🧭
Keyword Pioneer
🐣
Hot Topic Early Bird
🌈
Renaissance Researcher
(6)
🌟
Keyword Trendsetter Combo
(6)
🤝
Dynamic Duo
(13)
🏆
Keyword Champion
(2)
🌱
Topic Pioneer
💎
Century Club
(14)
🗃️
Keyword Collector
(62)
📈
Trend Setter
Conferences
NIPS (4)
ICML (3)
JMLR (3)
CVPR (2)
AISTATS (1)
MICCAI (1)
Top co-authors
Keywords
layer-wise relevance propagation
(5)
representation learning
(3)
graph neural network
(3)
neural network
(3)
image classification
(2)
feature attribution
(2)
deep network
(2)
generative model
(2)
invariant representation
(2)
feature representation
(1)
max-product algorithm
(1)
gaussian kernel
(1)
layer-wise analysis
(1)
abstract representations
(1)
graph representation
(1)
kullback-leibler divergence
(1)
atomization energy prediction
(1)
message passing
(1)
graph-like molecular data
(1)
quantum mechanical energies
(1)
Papers
MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification
MICCAI 2025
MambaLRP: Explaining Selective State Space Sequence Models
NIPS 2024
Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations
CVPR 2023
Relevant Walk Search for Explaining Graph Neural Networks
ICML 2023
XAI for Transformers: Better Explanations through Conservative Propagation
ICML 2022
Efficient Computation of Higher-Order Subgraph Attribution via Message Passing
ICML 2022
iNNvestigate Neural Networks!
JMLR 2019
The LRP Toolbox for Artificial Neural Networks
JMLR 2016
Analyzing Classifiers: Fisher Vectors and Deep Neural Networks
CVPR 2016
Wasserstein Training of Restricted Boltzmann Machines
NIPS 2016
Deep Boltzmann Machines as Feed-Forward Hierarchies
AISTATS 2012
Learning Invariant Representations of Molecules for Atomization Energy Prediction
NIPS 2012
Kernel Analysis of Deep Networks
JMLR 2011
Layer-wise analysis of deep networks with Gaussian kernels
NIPS 2010