Gal Mishne
18 papers · 2019–2026 · 7 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (6) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (6) 🐝 Cross-Pollinator (12)
🏃
Academic Marathon
(6)
🧭
Keyword Pioneer
🏆
Grand Slam
🗃️
Keyword Collector
(58)
💎
Century Club
(17)
🔥
Unstoppable
(5)
⚡
Prolific Year
(5)
Conferences
ICML (7)
NIPS (4)
AISTATS (2)
ICLR (2)
AAAI (1)
ICCV (1)
JMLR (1)
Top co-authors
Keywords
manifold learning
(4)
representation learning
(4)
graph laplacian
(2)
dimensionality reduction
(2)
graph generation
(1)
variational inference
(1)
spectral clustering
(1)
graph partitioning
(1)
feature selection
(1)
graph learning
(1)
graph embedding
(1)
group sparsity
(1)
behavior analysis
(1)
multi-scale analysis
(1)
hierarchical representation
(1)
procrustes analysis
(1)
pose estimation
(1)
matrix completion
(1)
temporal modeling
(1)
semi-supervised learning
(1)
Papers
Unsupervised Feature Selection Through Group Discovery
AAAI 2026
Elucidating Flow Matching ODE Dynamics via Data Geometry and Denoisers
ICML 2025
RnGCam: High-speed video from rolling & global shutter measurements
ICCV 2025
Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy
ICLR 2025
Comparing Graph Transformers via Positional Encodings
ICML 2024
Learning Cartesian Product Graphs with Laplacian Constraints
AISTATS 2024
Contextual Feature Selection with Conditional Stochastic Gates
ICML 2024
Continuous Partitioning for Graph-Based Semi-Supervised Learning
NIPS 2024
SiBBlInGS: Similarity-driven Building-Block Inference using Graphs across States
ICML 2024
Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning
ICML 2023
Implicit Graphon Neural Representation
AISTATS 2023
The Numerical Stability of Hyperbolic Representation Learning
ICML 2023
DiSC: Differential Spectral Clustering of Features
NIPS 2022
Learning Disentangled Behavior Embeddings
NIPS 2021
LDLE: Low Distortion Local Eigenmaps
JMLR 2021
Online Adversarial Purification based on Self-supervised Learning
ICLR 2021
Co-manifold learning with missing data
ICML 2019
Visualizing the PHATE of Neural Networks
NIPS 2019