Yannis Panagakis
26 papers · 2013–2025 · 8 conferences · across top CS/AI conferences
Achievements
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Keyword Pioneer
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Hot Topic Early Bird
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Academic Marathon
(12)
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Dynamic Duo
(12)
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Topic Evolution
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Conference Pioneer
β‘
Prolific Year
(5)
π
Trend Setter
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Keyword Collector
(106)
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The Questioner
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Century Club
(26)
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Unstoppable
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Conferences
CVPR (10)
NIPS (5)
ICCV (4)
ICML (3)
ECCV (1)
ICLR (1)
JMLR (1)
NAACL (1)
Top co-authors
Keywords
generative model
(3)
tensor decomposition
(3)
generative adversarial network
(3)
representation learning
(2)
image generation
(2)
robust estimation
(2)
parameter efficiency
(2)
model compression
(2)
nuclear norm minimization
(2)
polynomial neural network
(2)
3d reconstruction
(1)
matrix factorization
(1)
unsupervised clustering
(1)
subspace learning
(1)
principal component analysis
(1)
unsupervised learning
(1)
convex optimization
(1)
dimensionality reduction
(1)
image-to-image translation
(1)
image editing
(1)
Papers
Are Large Brainwave Foundation Models Capable Yet ? Insights from Fine-Tuning
ICML 2025
Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization
NIPS 2024
Bridging Mini-Batch and Asymptotic Analysis in Contrastive Learning: From InfoNCE to Kernel-Based Losses
ICML 2024
Benchmarking Counterfactual Image Generation
NIPS 2024
Scale Equivariant Graph Metanetworks
NIPS 2024
Parts of SpeechβGrounded Subspaces in Vision-Language Models
NIPS 2023
PandA: Unsupervised Learning of Parts and Appearances in the Feature Maps of GANs
ICLR 2023
Augmenting Deep Classifiers with Polynomial Neural Networks
ECCV 2022
Efficient Learning of Multiple NLP Tasks via Collective Weight Factorization on BERT
NAACL 2022
Cluster-Guided Image Synthesis With Unconditional Models
CVPR 2022
Conditional Generation Using Polynomial Expansions
NIPS 2021
Multilinear Latent Conditioning for Generating Unseen Attribute Combinations
ICML 2020
Factorized Higher-Order CNNs With an Application to Spatio-Temporal Emotion Estimation
CVPR 2020
P-nets: Deep Polynomial Neural Networks
CVPR 2020
TensorLy: Tensor Learning in Python
JMLR 2019
GAGAN: Geometry-Aware Generative Adversarial Networks
CVPR 2018
Robust Kronecker-Decomposable Component Analysis for Low-Rank Modeling
ICCV 2017
Robust Joint and Individual Variance Explained
CVPR 2017
Learning the Multilinear Structure of Visual Data
CVPR 2017
Side Information in Robust Principal Component Analysis: Algorithms and Applications
ICCV 2017
3D Face Morphable Models "In-The-Wild"
CVPR 2017
Robust Statistical Face Frontalization
ICCV 2015
Automatic Construction Of Robust Spherical Harmonic Subspaces
CVPR 2015
Face Flow
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