Grigorios Chrysos
24 papers · 2020–2026 · 6 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+8 more ↓ Show less ↑
🌍 Conference Polyglot (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (5)
🌈
Renaissance Researcher
(6)
🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
🤝
Dynamic Duo
(18)
🏆
Grand Slam
⚡
Prolific Year
(9)
🔥
Unstoppable
(6)
💎
Century Club
(23)
Conferences
ICLR (7)
ICML (7)
NIPS (7)
AAAI (1)
ECCV (1)
ICCV (1)
Top co-authors
Keywords
neural tangent kernel
(5)
polynomial neural network
(2)
neural network robustness
(2)
generalization bound
(2)
neural architecture search
(1)
image-to-image translation
(1)
zero-shot learning
(1)
image super-resolution
(1)
global convergence
(1)
branch and bound
(1)
dynamic programming
(1)
generalization error
(1)
graph optimization
(1)
linear complexity
(1)
formal verification
(1)
recursive algorithm
(1)
generative model
(1)
convolutional neural network
(1)
deep neural network
(1)
tensor decomposition
(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
Generalization of Scaled Deep ResNets in the Mean-Field Regime
ICLR 2024
MIGS: Multi-Identity Gaussian Splatting via Tensor Decomposition
ECCV 2024
Multilinear Operator Networks
ICLR 2024
Robust NAS under adversarial training: benchmark, theory, and beyond
ICLR 2024
Efficient local linearity regularization to overcome catastrophic overfitting
ICLR 2024
Revisiting Character-level Adversarial Attacks for Language Models
ICML 2024
REST: Efficient and Accelerated EEG Seizure Analysis through Residual State Updates
ICML 2024
Going beyond Compositions, DDPMs Can Produce Zero-Shot Interpolations
ICML 2024
Learning to Remove Cuts in Integer Linear Programming
ICML 2024
Benign Overfitting in Deep Neural Networks under Lazy Training
ICML 2023
Maximum Independent Set: Self-Training through Dynamic Programming
NIPS 2023
On the Convergence of Encoder-only Shallow Transformers
NIPS 2023
Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study
NIPS 2022
Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization)
NIPS 2022
Controlling the Complexity and Lipschitz Constant improves Polynomial Nets
ICLR 2022
The Spectral Bias of Polynomial Neural Networks
ICLR 2022
Generalization Properties of NAS under Activation and Skip Connection Search
NIPS 2022
Sound and Complete Verification of Polynomial Networks
NIPS 2022
Conditional Generation Using Polynomial Expansions
NIPS 2021
Poly-NL: Linear Complexity Non-Local Layers With 3rd Order Polynomials
ICCV 2021
Multilinear Latent Conditioning for Generating Unseen Attribute Combinations
ICML 2020