Grigorios Chrysos

46 papers A* 24B 1Journal 18Unranked 2
YearRankTypeTitle / Venue / Authors
2026 A* conf
Beyond Neuron-Level Sparsity: Achieving Faithful and Interpretable LLMs with Mixture of Decoders.
AAAI
Grigorios Chrysos
2026 J jnl
LJ-Bench: Ontology-Based Benchmark for U.S. Crime.
CoRR
Hung Yun Tseng, Wuzhen Li, Blerina Gkotse, Grigorios Chrysos
2026 J jnl
LJ-Bench: Ontology-Based Benchmark for U.S. Crime.
Trans. Mach. Learn. Res.
Hung Yun Tseng, Wuzhen Li, Blerina Gkotse, Grigorios Chrysos
2025 A* conf
Certified Robustness Under Bounded Levenshtein Distance.
ICLR
Elías Abad-Rocamora, Grigorios Chrysos, Volkan Cevher
2025 A* conf
Everything Everywhere All at Once: LLMs can In-Context Learn Multiple Tasks in Superposition.
ICML
Zheyang Xiong, Ziyang Cai, John Cooper, Albert Ge, Vasilis Papageorgiou, Zack Sifakis, Angeliki Giannou, Ziqian Lin, Liu Yang, Saurabh Agarwal, Grigorios Chrysos, Samet Oymak, Kangwook Lee, Dimitris Papailiopoulos
2025 J jnl
Single-pass Detection of Jailbreaking Input in Large Language Models.
Trans. Mach. Learn. Res.
Leyla Naz Candogan, Yongtao Wu, Elías Abad-Rocamora, Grigorios Chrysos, Volkan Cevher
2024 B conf
Architecture Design: From Neural Networks to Foundation Models.
DSAA
Grigorios Chrysos
2024 A* conf
Efficient local linearity regularization to overcome catastrophic overfitting.
ICLR
Elías Abad-Rocamora, Fanghui Liu, Grigorios Chrysos, Pablo M. Olmos, Volkan Cevher
2024 A* conf
Generalization of Scaled Deep ResNets in the Mean-Field Regime.
ICLR
Yihang Chen, Fanghui Liu, Yiping Lu, Grigorios Chrysos, Volkan Cevher
2024 A* conf
Going beyond Compositions, DDPMs Can Produce Zero-Shot Interpolations.
ICML
Justin Deschenaux, Igor Krawczuk, Grigorios Chrysos, Volkan Cevher
2024 J jnl
Going beyond compositional generalization, DDPMs can produce zero-shot interpolation.
CoRR
Justin Deschenaux, Igor Krawczuk, Grigorios Chrysos, Volkan Cevher
2024 A* conf
Learning to Remove Cuts in Integer Linear Programming.
ICML
Pol Puigdemont, Stratis Skoulakis, Grigorios Chrysos, Volkan Cevher
2024 J jnl
Learning to Remove Cuts in Integer Linear Programming.
CoRR
Pol Puigdemont, Stratis Skoulakis, Grigorios Chrysos, Volkan Cevher
2024 A* conf
Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization.
NeurIPS
James Oldfield, Markos Georgopoulos, Grigorios Chrysos, Christos Tzelepis, Yannis Panagakis, Mihalis Nicolaou, Jiankang Deng, Ioannis Patras
2024 A* conf
Multilinear Operator Networks.
ICLR
Yixin Cheng, Grigorios Chrysos, Markos Georgopoulos, Volkan Cevher
2024 J jnl
PNeRV: A Polynomial Neural Representation for Videos.
Trans. Mach. Learn. Res.
Sonam Gupta, Snehal Singh Tomar, Grigorios Chrysos, Sukhendu Das, Ambasamudram Narayanan Rajagopalan
2024 A* conf
REST: Efficient and Accelerated EEG Seizure Analysis through Residual State Updates.
ICML
Arshia Afzal, Grigorios Chrysos, Volkan Cevher, Mahsa Shoaran
2024 J jnl
REST: Efficient and Accelerated EEG Seizure Analysis through Residual State Updates.
CoRR
Arshia Afzal, Grigorios Chrysos, Volkan Cevher, Mahsa Shoaran
2024 A* conf
Revisiting Character-level Adversarial Attacks for Language Models.
ICML
Elías Abad-Rocamora, Yongtao Wu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher
2024 A* conf
Robust NAS under adversarial training: benchmark, theory, and beyond.
ICLR
Yongtao Wu, Fanghui Liu, Carl-Johann Simon-Gabriel, Grigorios Chrysos, Volkan Cevher
2024 J jnl
The Last Mile to Supervised Performance: Semi-Supervised Domain Adaptation for Semantic Segmentation.
CoRR
Daniel Morales-Brotons, Grigorios Chrysos, Stratis Tzoumas, Volkan Cevher
2023 A* conf
Benign Overfitting in Deep Neural Networks under Lazy Training.
ICML
Zhenyu Zhu, Fanghui Liu, Grigorios Chrysos, Francesco Locatello, Volkan Cevher
2023 J jnl
Federated Learning under Covariate Shifts with Generalization Guarantees.
CoRR
Ali Ramezani-Kebrya, Fanghui Liu, Thomas Pethick, Grigorios Chrysos, Volkan Cevher
2023 J jnl
Federated Learning under Covariate Shifts with Generalization Guarantees.
Trans. Mach. Learn. Res.
Ali Ramezani-Kebrya, Fanghui Liu, Thomas Pethick, Grigorios Chrysos, Volkan Cevher
2023 J jnl
Linear Complexity Self-Attention With $3{\mathrm{rd}}$3 rd Order Polynomials.
IEEE Trans. Pattern Anal. Mach. Intell.
Francesca Babiloni, Ioannis Marras, Jiankang Deng, Filippos Kokkinos, Matteo Maggioni, Grigorios Chrysos, Philip H. S. Torr, Stefanos Zafeiriou
2023 A* conf
Maximum Independent Set: Self-Training through Dynamic Programming.
NeurIPS
Lorenzo Brusca, Lars C. P. M. Quaedvlieg, Stratis Skoulakis, Grigorios Chrysos, Volkan Cevher
2023 A* conf
On the Convergence of Encoder-only Shallow Transformers.
NeurIPS
Yongtao Wu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher
2023 J jnl
Revisiting adversarial training for the worst-performing class.
Trans. Mach. Learn. Res.
Thomas Pethick, Grigorios Chrysos, Volkan Cevher
2022 A* conf
Controlling the Complexity and Lipschitz Constant improves Polynomial Nets.
ICLR
Zhenyu Zhu, Fabian Latorre, Grigorios Chrysos, Volkan Cevher
2022 A* conf
Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study.
NeurIPS
Yongtao Wu, Zhenyu Zhu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher
2022 A* conf
Generalization Properties of NAS under Activation and Skip Connection Search.
NeurIPS
Zhenyu Zhu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher
2022 — conf
MimicME: A Large Scale Diverse 4D Database for Facial Expression Analysis.
ECCV (8)
Athanasios Papaioannou, Baris Gecer, Shiyang Cheng, Grigorios Chrysos, Jiankang Deng, Eftychia Fotiadou, Christos Kampouris, Dimitrios Kollias, Stylianos Moschoglou, Kritaphat Songsri-in, Stylianos Ploumpis, George Trigeorgis, Panagiotis Tzirakis, Evangelos Ververas, Yuxiang Zhou, Allan Ponniah, Anastasios Roussos, Stefanos Zafeiriou
2022 A* conf
Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization).
NeurIPS
Zhenyu Zhu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher
2022 A* conf
Sound and Complete Verification of Polynomial Networks.
NeurIPS
Elías Abad-Rocamora, Mehmet Fatih Sahin, Fanghui Liu, Grigorios Chrysos, Volkan Cevher
2022 A* conf
The Spectral Bias of Polynomial Neural Networks.
ICLR
Moulik Choraria, Leello Tadesse Dadi, Grigorios Chrysos, Julien Mairal, Volkan Cevher
2022 J jnl
The Spectral Bias of Polynomial Neural Networks.
CoRR
Moulik Choraria, Leello Tadesse Dadi, Grigorios Chrysos, Julien Mairal, Volkan Cevher
2021 A* conf
Conditional Generation Using Polynomial Expansions.
NeurIPS
Grigorios Chrysos, Markos Georgopoulos, Yannis Panagakis
2021 A* conf
Poly-NL: Linear Complexity Non-local Layers With 3rd Order Polynomials.
ICCV
Francesca Babiloni, Ioannis Marras, Filippos Kokkinos, Jiankang Deng, Grigorios Chrysos, Stefanos Zafeiriou
2021 J jnl
Poly-NL: Linear Complexity Non-local Layers with Polynomials.
CoRR
Francesca Babiloni, Ioannis Marras, Filippos Kokkinos, Jiankang Deng, Grigorios Chrysos, Stefanos Zafeiriou
2020 J jnl
Deep Polynomial Neural Networks.
CoRR
Grigorios Chrysos, Stylianos Moschoglou, Giorgos Bouritsas, Jiankang Deng, Yannis Panagakis, Stefanos Zafeiriou
2020 A* conf
Multilinear Latent Conditioning for Generating Unseen Attribute Combinations.
ICML
Markos Georgopoulos, Grigorios Chrysos, Maja Pantic, Yannis Panagakis
2020 J jnl
Multilinear Latent Conditioning for Generating Unseen Attribute Combinations.
CoRR
Markos Georgopoulos, Grigorios Chrysos, Maja Pantic, Yannis Panagakis
2020 — —
Polynomial function approximation and its application to deep generative models.
Grigorios Chrysos
2019 J jnl
PolyGAN: High-Order Polynomial Generators.
CoRR
Grigorios Chrysos, Stylianos Moschoglou, Yannis Panagakis, Stefanos Zafeiriou
2019 J jnl
The Menpo Benchmark for Multi-pose 2D and 3D Facial Landmark Localisation and Tracking.
Int. J. Comput. Vis.
Jiankang Deng, Anastasios Roussos, Grigorios Chrysos, Evangelos Ververas, Irene Kotsia, Jie Shen, Stefanos Zafeiriou
2017 — conf
The Menpo Facial Landmark Localisation Challenge: A Step Towards the Solution.
CVPR Workshops
Stefanos Zafeiriou, George Trigeorgis, Grigorios Chrysos, Jiankang Deng, Jie Shen