Chrysos, Grigorios

36 publications

ICLR 2025 Certified Robustness Under Bounded Levenshtein Distance Elias Abad Rocamora, Grigorios Chrysos, Volkan Cevher

ICML 2025 Everything Everywhere All at Once: LLMs Can In-Context Learn Multiple Tasks in Superposition 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

TMLR 2025 Single-Pass Detection of Jailbreaking Input in Large Language Models Leyla Naz Candogan, Yongtao Wu, Elias Abad Rocamora, Grigorios Chrysos, Volkan Cevher

NeurIPS 2025 Towards Interpretability Without Sacrifice: Faithful Dense Layer Decomposition with Mixture of Decoders James Oldfield, Shawn Im, Sharon Li, Mihalis Nicolaou, Ioannis Patras, Grigorios Chrysos

ICMLW 2024 Certified Robustness in NLP Under Bounded Levenshtein Distance Elias Abad Rocamora, Grigorios Chrysos, Volkan Cevher

ICLRW 2024 Character-Level Robustness Should Be Revisited Elias Abad Rocamora, Yongtao Wu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher

ICMLW 2024 Demonstrations in In-Context Learning for LLMs with Large Label Space Zhan Li, Fanghui Liu, Volkan Cevher, Grigorios Chrysos

ICLR 2024 Efficient Local Linearity Regularization to Overcome Catastrophic Overfitting Elias Abad Rocamora, Fanghui Liu, Grigorios Chrysos, Pablo M. Olmos, Volkan Cevher

ICLR 2024 Generalization of Scaled Deep ResNets in the Mean-Field Regime Yihang Chen, Fanghui Liu, Yiping Lu, Grigorios Chrysos, Volkan Cevher

ICML 2024 Going Beyond Compositions, DDPMs Can Produce Zero-Shot Interpolations Justin Deschenaux, Igor Krawczuk, Grigorios Chrysos, Volkan Cevher

ICML 2024 Learning to Remove Cuts in Integer Linear Programming Pol Puigdemont, Stratis Skoulakis, Grigorios Chrysos, Volkan Cevher

ICLRW 2024 Leveraging Context in Jailbreaking Attacks Yixin Cheng, Markos Georgopoulos, Volkan Cevher, Grigorios Chrysos

ECCV 2024 MIGS: Multi-Identity Gaussian Splatting via Tensor Decomposition Aggelina Chatziagapi, Grigorios Chrysos, Dimitris Samaras

ICLR 2024 Multilinear Operator Networks Yixin Cheng, Grigorios Chrysos, Markos Georgopoulos, Volkan Cevher

TMLR 2024 PNeRV: A Polynomial Neural Representation for Videos Sonam Gupta, Snehal Singh Tomar, Grigorios Chrysos, Sukhendu Das, Rajagopalan N Ambasamduram

ICML 2024 REST: Efficient and Accelerated EEG Seizure Analysis Through Residual State Updates Arshia Afzal, Grigorios Chrysos, Volkan Cevher, Mahsa Shoaran

ICML 2024 Revisiting Character-Level Adversarial Attacks for Language Models Elias Abad Rocamora, Yongtao Wu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher

ICLR 2024 Robust NAS Under Adversarial Training: Benchmark, Theory, and Beyond Yongtao Wu, Fanghui Liu, Carl-Johann Simon-Gabriel, Grigorios Chrysos, Volkan Cevher

ICLRW 2024 Single-Pass Detection of Jailbreaking Input in Large Language Models Leyla Naz Candogan, Yongtao Wu, Elias Abad Rocamora, Grigorios Chrysos, Volkan Cevher

ICLRW 2024 Tucker Decomposition for Interpretable Neural Ordinary Differential Equations Dimitrios Halatsis, Grigorios Chrysos, Joao Pereira, Michael Alummoottil

ICML 2023 Benign Overfitting in Deep Neural Networks Under Lazy Training Zhenyu Zhu, Fanghui Liu, Grigorios Chrysos, Francesco Locatello, Volkan Cevher

TMLR 2023 Federated Learning Under Covariate Shifts with Generalization Guarantees Ali Ramezani-Kebrya, Fanghui Liu, Thomas Pethick, Grigorios Chrysos, Volkan Cevher

NeurIPSW 2023 Generalization Guarantees of Deep ResNets in the Mean-Field Regime Yihang Chen, Fanghui Liu, Yiping Lu, Grigorios Chrysos, Volkan Cevher

NeurIPS 2023 Maximum Independent Set: Self-Training Through Dynamic Programming Lorenzo Brusca, Lars C.P.M. Quaedvlieg, Stratis Skoulakis, Grigorios Chrysos, Volkan Cevher

NeurIPS 2023 On the Convergence of Encoder-Only Shallow Transformers Yongtao Wu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher

TMLR 2023 Revisiting Adversarial Training for the Worst-Performing Class Thomas Pethick, Grigorios Chrysos, Volkan Cevher

ICLR 2022 Controlling the Complexity and Lipschitz Constant Improves Polynomial Nets Zhenyu Zhu, Fabian Latorre, Grigorios Chrysos, Volkan Cevher

NeurIPS 2022 Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: A Polynomial Net Study Yongtao Wu, Zhenyu Zhu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher

NeurIPS 2022 Generalization Properties of NAS Under Activation and Skip Connection Search Zhenyu Zhu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher

NeurIPS 2022 Robustness in Deep Learning: The Good (width), the Bad (depth), and the Ugly (initialization) Zhenyu Zhu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher

NeurIPS 2022 Sound and Complete Verification of Polynomial Networks Elias Abad Rocamora, Mehmet Fatih Sahin, Fanghui Liu, Grigorios Chrysos, Volkan Cevher

ICLR 2022 The Spectral Bias of Polynomial Neural Networks Moulik Choraria, Leello Tadesse Dadi, Grigorios Chrysos, Julien Mairal, Volkan Cevher

NeurIPS 2021 Conditional Generation Using Polynomial Expansions Grigorios Chrysos, Markos Georgopoulos, Yannis Panagakis

ICCV 2021 Poly-NL: Linear Complexity Non-Local Layers with 3rd Order Polynomials Francesca Babiloni, Ioannis Marras, Filippos Kokkinos, Jiankang Deng, Grigorios Chrysos, Stefanos Zafeiriou

ICML 2020 Multilinear Latent Conditioning for Generating Unseen Attribute Combinations Markos Georgopoulos, Grigorios Chrysos, Maja Pantic, Yannis Panagakis

CVPRW 2017 The Menpo Facial Landmark Localisation Challenge: A Step Towards the Solution Stefanos Zafeiriou, George Trigeorgis, Grigorios Chrysos, Jiankang Deng, Jie Shen