Guy Wolf
22 papers · 2018–2026 · 6 conferences · across top CS/AI conferences
Achievements
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๐ Cross-Pollinator (11) ๐ Academic Marathon (8) ๐ Interdisciplinary Bridge ๐ Conference Polyglot (6) ๐ Renaissance Researcher (7)
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Conference Polyglot
(6)
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Academic Marathon
(8)
๐บ๏ธ
Taxonomy Completionist
(32)
๐ฅ
Mega-Team
(34)
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Triple Crown
๐ฌ
Deep Specialist
(10)
โก
Prolific Year
(5)
๐ฅ
Unstoppable
(9)
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Century Club
(22)
๐๏ธ
Keyword Collector
(83)
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The Questioner
Conferences
NIPS (9)
ICML (6)
ICLR (3)
AISTATS (2)
CVPR (1)
WACV (1)
Top co-authors
Keywords
optimal transport
(4)
manifold learning
(4)
graph neural network
(4)
geometric scattering
(3)
unsupervised learning
(2)
message passing
(2)
geodesic distance
(2)
graph transformer
(2)
single-cell rna sequencing
(2)
representation learning
(2)
test-time adaptation
(1)
point cloud
(1)
batch normalization
(1)
trajectory modeling
(1)
semi-supervised learning
(1)
attention mechanism
(1)
graph construction
(1)
topological data analysis
(1)
graph classification
(1)
flow matching
(1)
Papers
Test Time Adaptation Using Adaptive Quantile Recalibration
WACV 2026
Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds
AISTATS 2025
AdaFisher: Adaptive Second Order Optimization via Fisher Information
ICLR 2025
Graph Positional and Structural Encoder
ICML 2024
ReactZyme: A Benchmark for Enzyme-Reaction Prediction
NIPS 2024
Simulation-Free Schrรถdinger Bridges via Score and Flow Matching
AISTATS 2024
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets
ICLR 2024
Harmony in Diversity: Merging Neural Networks with Canonical Correlation Analysis
ICML 2024
Neural FIM for learning Fisher information metrics from point cloud data
ICML 2023
Reliability of CKA as a Similarity Measure in Deep Learning
ICLR 2023
A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction
NIPS 2023
Parametric Scattering Networks
CVPR 2022
Recipe for a General, Powerful, Scalable Graph Transformer
NIPS 2022
Long Range Graph Benchmark
NIPS 2022
Can Hybrid Geometric Scattering Networks Help Solve the Maximum Clique Problem?
NIPS 2022
Manifold Interpolating Optimal-Transport Flows for Trajectory Inference
NIPS 2022
Diffusion Earth Moverโs Distance and Distribution Embeddings
ICML 2021
TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics
ICML 2020
Scattering GCN: Overcoming Oversmoothness in Graph Convolutional Networks
NIPS 2020
Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence
NIPS 2020
Geometric Scattering for Graph Data Analysis
ICML 2019
Geometry Based Data Generation
NIPS 2018