Guy Wolf
22 papers · 2018–2026 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+11 more ↓ Show less ↑
🗺️ Taxonomy Completionist (37) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
👥
Mega-Team · Squad
🧬
Topic Evolution
👑
Triple Crown
🏆
Keyword Champion
(2)
🔬
Deep Specialist
(11)
🌈
Renaissance Researcher
(5)
🔥
Unstoppable · Bronze
❓
The Questioner
⚡
Prolific Year · Productive
💎
Century Club · Bronze
🗃️
Keyword Collector
(105)
Top co-authors
Research topics
Machine Learning
(18)
Deep Learning
(15)
Core Methods
(15)
Architectures
(8)
Mathematics & Optimization
(6)
Artificial Intelligence
(5)
Optimization
(5)
Optimization & Theory
(5)
Models
(4)
Techniques
(4)
Core AI
(3)
Learning Types · Deep Learning
(3)
Interdisciplinary
(2)
Learning Paradigms
(2)
Learning Types · Machine Learning
(2)
Keywords
manifold learning
(5)
optimal transport
(4)
graph neural network
(4)
single-cell rna sequencing
(4)
representation learning
(3)
geometric scattering
(3)
neural network
(3)
graph transformer
(2)
geodesic distance
(2)
structural encoding
(2)
positional encoding
(2)
message passing
(2)
unsupervised learning
(2)
trajectory inference
(2)
batch normalization
(1)
attention mechanism
(1)
semi-supervised learning
(1)
graph classification
(1)
feature alignment
(1)
domain adaptation
(1)
Papers
Test Time Adaptation Using Adaptive Quantile Recalibration
WACV 2026
AdaFisher: Adaptive Second Order Optimization via Fisher Information
ICLR 2025
Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds
AISTATS 2025
Graph Positional and Structural Encoder
ICML 2024
Harmony in Diversity: Merging Neural Networks with Canonical Correlation Analysis
ICML 2024
ReactZyme: A Benchmark for Enzyme-Reaction Prediction
NeurIPS 2024
Simulation-Free Schrödinger Bridges via Score and Flow Matching
AISTATS 2024
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets
ICLR 2024
A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction
NeurIPS 2023
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
Can Hybrid Geometric Scattering Networks Help Solve the Maximum Clique Problem?
NeurIPS 2022
Long Range Graph Benchmark
NeurIPS 2022
Manifold Interpolating Optimal-Transport Flows for Trajectory Inference
NeurIPS 2022
Parametric Scattering Networks
CVPR 2022
Recipe for a General, Powerful, Scalable Graph Transformer
NeurIPS 2022
Diffusion Earth Mover’s Distance and Distribution Embeddings
ICML 2021
Scattering GCN: Overcoming Oversmoothness in Graph Convolutional Networks
NeurIPS 2020
TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics
ICML 2020
Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence
NeurIPS 2020
Geometric Scattering for Graph Data Analysis
ICML 2019
Geometry Based Data Generation
NeurIPS 2018