Yannis Panagakis
27 papers · 2013–2025 · 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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🗺️ Taxonomy Completionist (48) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Topic Evolution
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Dynamic Duo
(12)
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Keyword Champion
🚀
Conference Pioneer
🔥
Unstoppable · Bronze
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The Questioner
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Prolific Year · Productive
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Century Club · Bronze
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Keyword Collector
(125)
Top co-authors
Research topics
Machine Learning
(17)
Deep Learning
(15)
Computer Vision
(12)
Core Methods
(10)
Analysis
(7)
Models
(7)
Artificial Intelligence
(6)
Learning Types · Machine Learning
(6)
Optimization & Theory
(6)
Learning Types · Deep Learning
(5)
Architectures
(4)
Mathematics & Optimization
(3)
Core AI
(3)
Generation
(3)
Learning Paradigms
(3)
Keywords
generative adversarial network
(4)
tensor decomposition
(3)
generative model
(3)
representation learning
(2)
image generation
(2)
nuclear norm minimization
(2)
robust estimation
(2)
image editing
(2)
polynomial neural network
(2)
parameter efficiency
(2)
model compression
(2)
principal component analysis
(1)
3d reconstruction
(1)
matrix factorization
(1)
convex optimization
(1)
unsupervised learning
(1)
multi-task learning
(1)
energy minimization
(1)
metric learning
(1)
dimensionality reduction
(1)
Papers
Are Large Brainwave Foundation Models Capable Yet ? Insights from Fine-Tuning
ICML 2025
Synthetic Speech Source Tracing using Metric Learning
Interspeech 2025
Benchmarking Counterfactual Image Generation
NeurIPS 2024
Bridging Mini-Batch and Asymptotic Analysis in Contrastive Learning: From InfoNCE to Kernel-Based Losses
ICML 2024
Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization
NeurIPS 2024
Scale Equivariant Graph Metanetworks
NeurIPS 2024
PandA: Unsupervised Learning of Parts and Appearances in the Feature Maps of GANs
ICLR 2023
Parts of Speech–Grounded Subspaces in Vision-Language Models
NeurIPS 2023
Augmenting Deep Classifiers with Polynomial Neural Networks
ECCV 2022
Cluster-Guided Image Synthesis With Unconditional Models
CVPR 2022
Efficient Learning of Multiple NLP Tasks via Collective Weight Factorization on BERT
NAACL 2022
Conditional Generation Using Polynomial Expansions
NeurIPS 2021
Factorized Higher-Order CNNs With an Application to Spatio-Temporal Emotion Estimation
CVPR 2020
Multilinear Latent Conditioning for Generating Unseen Attribute Combinations
ICML 2020
P-nets: Deep Polynomial Neural Networks
CVPR 2020
TensorLy: Tensor Learning in Python
JMLR 2019
GAGAN: Geometry-Aware Generative Adversarial Networks
CVPR 2018
3D Face Morphable Models "In-The-Wild"
CVPR 2017
Learning the Multilinear Structure of Visual Data
CVPR 2017
Robust Joint and Individual Variance Explained
CVPR 2017
Robust Kronecker-Decomposable Component Analysis for Low-Rank Modeling
ICCV 2017
Side Information in Robust Principal Component Analysis: Algorithms and Applications
ICCV 2017
Automatic Construction Of Robust Spherical Harmonic Subspaces
CVPR 2015
Face Flow
ICCV 2015
Robust Statistical Face Frontalization
ICCV 2015
RAPS: Robust and Efficient Automatic Construction of Person-Specific Deformable Models
CVPR 2014
Robust Canonical Time Warping for the Alignment of Grossly Corrupted Sequences
CVPR 2013