Grigorios Chrysos
24 papers · 2020–2026 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (35) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π Grand Slam
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Grand Slam
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Dynamic Duo
(18)
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Keyword Collector
(95)
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Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Renaissance Researcher
(5)
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Century Club Β· Bronze
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Research topics
Machine Learning
(18)
Deep Learning
(16)
Optimization & Theory Β· Machine Learning
(12)
Architectures
(9)
Artificial Intelligence
(4)
Computer Vision
(4)
Core AI
(4)
Learning Types
(4)
Techniques
(4)
Core Methods
(3)
Generation
(3)
Models
(3)
Optimization & Theory Β· Deep Learning
(3)
Mathematics & Optimization
(2)
Analysis
(2)
Keywords
neural tangent kernel
(7)
generalization bound
(3)
polynomial neural network
(3)
adversarial training
(3)
lipschitz constant
(2)
image generation
(2)
neural architecture search
(2)
polynomial network
(2)
graph neural network
(2)
neural network
(2)
neural network robustness
(2)
generative model
(2)
spectral bia
(2)
multiplicative interaction
(2)
transformer
(1)
face recognition
(1)
global convergence
(1)
kl divergence
(1)
adversarial robustness
(1)
in-context learning
(1)
Papers
Beyond Neuron-Level Sparsity: Achieving Faithful and Interpretable LLMs with Mixture of Decoders
AAAI 2026
Certified Robustness Under Bounded Levenshtein Distance
ICLR 2025
Everything Everywhere All at Once: LLMs can In-Context Learn Multiple Tasks in Superposition
ICML 2025
Efficient local linearity regularization to overcome catastrophic overfitting
ICLR 2024
Generalization of Scaled Deep ResNets in the Mean-Field Regime
ICLR 2024
Going beyond Compositions, DDPMs Can Produce Zero-Shot Interpolations
ICML 2024
Learning to Remove Cuts in Integer Linear Programming
ICML 2024
MIGS: Multi-Identity Gaussian Splatting via Tensor Decomposition
ECCV 2024
Multilinear Operator Networks
ICLR 2024
REST: Efficient and Accelerated EEG Seizure Analysis through Residual State Updates
ICML 2024
Revisiting Character-level Adversarial Attacks for Language Models
ICML 2024
Robust NAS under adversarial training: benchmark, theory, and beyond
ICLR 2024
Benign Overfitting in Deep Neural Networks under Lazy Training
ICML 2023
Maximum Independent Set: Self-Training through Dynamic Programming
NeurIPS 2023
On the Convergence of Encoder-only Shallow Transformers
NeurIPS 2023
Controlling the Complexity and Lipschitz Constant improves Polynomial Nets
ICLR 2022
Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study
NeurIPS 2022
Generalization Properties of NAS under Activation and Skip Connection Search
NeurIPS 2022
Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization)
NeurIPS 2022
Sound and Complete Verification of Polynomial Networks
NeurIPS 2022
The Spectral Bias of Polynomial Neural Networks
ICLR 2022
Conditional Generation Using Polynomial Expansions
NeurIPS 2021
Poly-NL: Linear Complexity Non-Local Layers With 3rd Order Polynomials
ICCV 2021
Multilinear Latent Conditioning for Generating Unseen Attribute Combinations
ICML 2020