Grigorios Chrysos

Carl-Johann Simon-Gabriel

Dimitris Samaras

CoRR, 2024

Robust NAS under adversarial training: benchmark, theory, and beyond.

[BibT_eX]

[DOI]

Yongtao Wu

Fanghui Liu

CoRR, 2024

Generalization of Scaled Deep ResNets in the Mean-Field Regime.

[BibT_eX]

[DOI]

CoRR, 2024

Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization.

[BibT_eX]

[DOI]

CoRR, 2024

Leveraging the Context through Multi-Round Interactions for Jailbreaking Attacks.

[BibT_eX]

[DOI]

CoRR, 2024

Multilinear Operator Networks.

[BibT_eX]

[DOI]

CoRR, 2024

Efficient local linearity regularization to overcome catastrophic overfitting.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Linear Complexity Self-Attention With $3{\mathrm{rd}}$3 rd Order Polynomials.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Revisiting adversarial training for the worst-performing class.

[BibT_eX]

[DOI]

Thomas Pethick

Trans. Mach. Learn. Res., 2023

Federated Learning under Covariate Shifts with Generalization Guarantees.

[BibT_eX]

[DOI]

CoRR, 2023

On the Convergence of Encoder-only Shallow Transformers.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Maximum Independent Set: Self-Training through Dynamic Programming.

[BibT_eX]

[DOI]

Lorenzo Brusca

Lars C. P. M. Quaedvlieg

Stratis Skoulakis

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Benign Overfitting in Deep Neural Networks under Lazy Training.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Regularization of polynomial networks for image recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Deep Polynomial Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Adversarial Audio Synthesis with Complex-valued Polynomial Networks.

[BibT_eX]

[DOI]

Yongtao Wu

CoRR, 2022

Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization).

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Generalization Properties of NAS under Activation and Skip Connection Search.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Sound and Complete Verification of Polynomial Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Controlling the Complexity and Lipschitz Constant improves Polynomial Nets.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

The Spectral Bias of Polynomial Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

MimicME: A Large Scale Diverse 4D Database for Facial Expression Analysis.

[BibT_eX]

[DOI]

Athanasios Papaioannou

Proceedings of the Computer Vision - ECCV 2022, 2022

Augmenting Deep Classifiers with Polynomial Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Cluster-guided Image Synthesis with Unconditional Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Tensor Methods in Computer Vision and Deep Learning.

[BibT_eX]

[DOI]

Proc. IEEE, 2021

Self-Supervised Neural Architecture Search for Imbalanced Datasets.

[BibT_eX]

[DOI]

Aleksandr Timofeev

CoRR, 2021

Poly-NL: Linear Complexity Non-local Layers with Polynomials.

[BibT_eX]

[DOI]

CoRR, 2021

Polynomial Networks in Deep Classifiers.

[BibT_eX]

[DOI]

CoRR, 2021

CoPE: Conditional image generation using Polynomial Expansions.

[BibT_eX]

[DOI]

CoRR, 2021

Conditional Generation Using Polynomial Expansions.

[BibT_eX]

[DOI]

Markos Georgopoulos

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Unsupervised Controllable Generation with Self-Training.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

Poly-NL: Linear Complexity Non-local Layers With 3rd Order Polynomials.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Polynomial function approximation and its application to deep generative models.

[BibT_eX]

[DOI]

PhD thesis, 2020

NAPS: Non-adversarial polynomial synthesis.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2020

RoCGAN: Robust Conditional GAN.

[BibT_eX]

[DOI]

Jean Kossaifi

Int. J. Comput. Vis., 2020

Π-nets: Deep Polynomial Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Reconstructing the Noise Manifold for Image Denoising.

[BibT_eX]

[DOI]

CoRR, 2020

Multilinear Latent Conditioning for Generating Unseen Attribute Combinations.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Reconstructing the Noise Variance Manifold for Image Denoising.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

P-nets: Deep Polynomial Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

The Menpo Benchmark for Multi-pose 2D and 3D Facial Landmark Localisation and Tracking.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2019

Motion Deblurring of Faces.

[BibT_eX]

[DOI]

Paolo Favaro

Int. J. Comput. Vis., 2019

PolyGAN: High-Order Polynomial Generators.

[BibT_eX]

[DOI]

CoRR, 2019

Robust Conditional Generative Adversarial Networks.

[BibT_eX]

[DOI]

Jean Kossaifi

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

IPST: Incremental Pictorial Structures for Model-Free Tracking of Deformable Objects.

[BibT_eX]

[DOI]

Epameinondas Antonakos

IEEE Trans. Image Process., 2018

PD<sup>2</sup>T: Person-Specific Detection, Deformable Tracking.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2018

A Comprehensive Performance Evaluation of Deformable Face Tracking "In-the-Wild".

[BibT_eX]

[DOI]

Epameinondas Antonakos

Patrick Snape

Akshay Asthana

Int. J. Comput. Vis., 2018

Visual Data Augmentation through Learning.

[BibT_eX]

[DOI]

CoRR, 2018

2017

The 3D Menpo Facial Landmark Tracking Challenge.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

The Menpo Facial Landmark Localisation Challenge: A Step Towards the Solution.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Deep Face Deblurring.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2015

The First Facial Landmark Tracking in-the-Wild Challenge: Benchmark and Results.

[BibT_eX]

[DOI]

Georgios Tzimiropoulos

Maja Pantic

Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

Offline Deformable Face Tracking in Arbitrary Videos.

[BibT_eX]

[DOI]

Grigoris G. Chrysos

Epameinondas Antonakos

Patrick Snape

Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

Surface Based Object Detection in RGBD Images.

[BibT_eX]

[DOI]

Siddhartha Chandra