Mehdi Azabou
11 papers · 2021–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Gold 🗺️ Taxonomy Completionist (26) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🌈 Renaissance Researcher (5)
🔥
Unstoppable · Bronze
💎
Century Club · Bronze
Venues
Top co-authors
Research topics
Deep Learning
(9)
Artificial Intelligence
(7)
Machine Learning
(7)
Architectures
(5)
Core AI
(4)
Core Methods
(4)
Learning Paradigms
(4)
Learning Types · Machine Learning
(4)
Interdisciplinary
(3)
Learning Types · Deep Learning
(3)
Science
(3)
Computer Vision
(2)
Models
(2)
Healthcare & Medicine
(1)
Mathematics & Optimization
(1)
Keywords
self-supervised learning
(6)
neural decoding
(4)
transformer architecture
(3)
multi-task learning
(3)
representation learning
(3)
transfer learning
(2)
neural activity
(2)
graph neural network
(2)
multi-task masking
(2)
graph representation learning
(1)
optimal transport
(1)
semi-supervised learning
(1)
neural population
(1)
behavior analysis
(1)
embedding
(1)
brain decoding
(1)
neural dynamics
(1)
message passing
(1)
brain-computer interface
(1)
few-shot learning
(1)
Papers
Multi-session, multi-task neural decoding from distinct cell-types and brain regions
ICLR 2025
Neural Encoding and Decoding at Scale
ICML 2025
Towards a "Universal Translator" for Neural Dynamics at Single-Cell, Single-Spike Resolution
NeurIPS 2024
A Unified, Scalable Framework for Neural Population Decoding
NeurIPS 2023
Half-Hop: A graph upsampling approach for slowing down message passing
ICML 2023
Relax, it doesn’t matter how you get there: A new self-supervised approach for multi-timescale behavior analysis
NeurIPS 2023
Large-Scale Representation Learning on Graphs via Bootstrapping
ICLR 2022
MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction
NeurIPS 2022
Seeing the forest and the tree: Building representations of both individual and collective dynamics with transformers
NeurIPS 2022
Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity
NeurIPS 2021
Making transport more robust and interpretable by moving data through a small number of anchor points
ICML 2021