Gal Mishne
20 papers · 2019–2026 · 9 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
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πΊοΈ Taxonomy Completionist (36) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π Grand Slam
π
Grand Slam
ποΈ
Keyword Collector
(98)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Renaissance Researcher
(7)
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(15)
Core Methods
(13)
Deep Learning
(9)
Architectures
(6)
Mathematics & Optimization
(5)
Artificial Intelligence
(4)
Core AI
(4)
Learning Types Β· Deep Learning
(4)
Learning Types Β· Machine Learning
(4)
Mathematics
(4)
Data Science & Analytics
(3)
Models
(3)
Computer Vision
(2)
Application Areas
(2)
Methods
(2)
Keywords
representation learning
(5)
manifold learning
(4)
graph laplacian
(2)
feature selection
(2)
diffusion geometry
(2)
semi-supervised learning
(2)
dimensionality reduction
(2)
graph learning
(1)
domain adaptation
(1)
temporal modeling
(1)
variational inference
(1)
pose estimation
(1)
adversarial learning
(1)
graph generation
(1)
self-supervised learning
(1)
interpretability
(1)
spectral clustering
(1)
automatic speech recognition
(1)
group sparsity
(1)
metric learning
(1)
Papers
ALIGN: Adversarial Learning for Generalizable Speech Neuroprosthesis
UAI 2026
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
Word-Level Error Analysis in Decoding Systems: From Speech Recognition to Brain-Computer Interfaces
Interspeech 2025
Comparing Graph Transformers via Positional Encodings
ICML 2024
Contextual Feature Selection with Conditional Stochastic Gates
ICML 2024
Continuous Partitioning for Graph-Based Semi-Supervised Learning
NeurIPS 2024
Learning Cartesian Product Graphs with Laplacian Constraints
AISTATS 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
NeurIPS 2022
LDLE: Low Distortion Local Eigenmaps
JMLR 2021
Learning Disentangled Behavior Embeddings
NeurIPS 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
NeurIPS 2019