Jean Kossaifi

CoRR, 2024

Equivariant Graph Neural Operator for Modeling 3D Dynamics.

[BibT_eX]

[DOI]

Jure Leskovec

Stefano Ermon

CoRR, 2024

2023

Quantum Goemans-Williamson Algorithm with the Hadamard Test and Approximate Amplitude Constraints.

[BibT_eX]

[DOI]

Quantum, July, 2023

Multi-Grid Tensorized Fourier Neural Operator for High-Resolution PDEs.

[BibT_eX]

[DOI]

Nikola B. Kovachki

CoRR, 2023

Neural Operators for Accelerating Scientific Simulations and Design.

[BibT_eX]

[DOI]

Nikola B. Kovachki

Zongyi Li

Miguel Liu-Schiaffini

CoRR, 2023

Speeding up Fourier Neural Operators via Mixed Precision.

[BibT_eX]

[DOI]

CoRR, 2023

Score-based Diffusion Models in Function Space.

[BibT_eX]

[DOI]

CoRR, 2023

Geometry-Informed Neural Operator for Large-Scale 3D PDEs.

[BibT_eX]

[DOI]

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

2022

HEAT: Hardware-Efficient Automatic Tensor Decomposition for Transformer Compression.

[BibT_eX]

[DOI]

CoRR, 2022

Augmenting Deep Classifiers with Polynomial Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Tensor Methods in Computer Vision and Deep Learning.

[BibT_eX]

[DOI]

Proc. IEEE, 2021

SEWA DB: A Rich Database for Audio-Visual Emotion and Sentiment Research in the Wild.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Estimation of continuous valence and arousal levels from faces in naturalistic conditions.

[BibT_eX]

[DOI]

Antoine Toisoul

Nat. Mach. Intell., 2021

Tensor Dropout for Robust Learning.

[BibT_eX]

[DOI]

Arinbjörn Kolbeinsson

Yannis Panagakis

Ioanna Tzoulaki

Paul M. Matthews

IEEE J. Sel. Top. Signal Process., 2021

Reinforcement Learning in Factored Action Spaces using Tensor Decompositions.

[BibT_eX]

[DOI]

CoRR, 2021

AugMax: Adversarial Composition of Random Augmentations for Robust Training.

[BibT_eX]

[DOI]

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

Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Defensive Tensorization.

[BibT_eX]

[DOI]

Timothy M. Hospedales

Nicholas D. Lane

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Tensor Regression Networks.

[BibT_eX]

[DOI]

Zachary C. Lipton

Arinbjörn Kolbeinsson

Aran Khanna

Tommaso Furlanello

J. Mach. Learn. Res., 2020

RoCGAN: Robust Conditional GAN.

[BibT_eX]

[DOI]

Grigorios G. Chrysos

Stefanos Zafeiriou

Int. J. Comput. Vis., 2020

Convolutional Tensor-Train LSTM for Spatio-Temporal Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Speech-Driven Facial Animation Using Polynomial Fusion of Features.

[BibT_eX]

[DOI]

Triantafyllos Kefalas

Konstantinos Vougioukas

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Toward fast and accurate human pose estimation via soft-gated skip connections.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE International Conference on Automatic Face and Gesture Recognition, 2020

Factorized Higher-Order CNNs With an Application to Spatio-Temporal Emotion Estimation.

[BibT_eX]

[DOI]

Timothy M. Hospedales

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

Incremental Multi-Domain Learning with Network Latent Tensor Factorization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

TensorLy: Tensor Learning in Python.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2019

Disentangling Geometry and Appearance with Regularised Geometry-Aware Generative Adversarial Networks.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2019

Spectral Learning on Matrices and Tensors.

[BibT_eX]

[DOI]

Found. Trends Mach. Learn., 2019

Efficient N-Dimensional Convolutions via Higher-Order Factorization.

[BibT_eX]

[DOI]

CoRR, 2019

Matrix and tensor decompositions for training binary neural networks.

[BibT_eX]

[DOI]

CoRR, 2019

Improved training of binary networks for human pose estimation and image recognition.

[BibT_eX]

[DOI]

CoRR, 2019

Stochastically Rank-Regularized Tensor Regression Networks.

[BibT_eX]

[DOI]

Arinbjörn Kolbeinsson

CoRR, 2019

SEWA DB: A Rich Database for Audio-Visual Emotion and Sentiment Research in the Wild.

[BibT_eX]

[DOI]

CoRR, 2019

Robust Conditional Generative Adversarial Networks.

[BibT_eX]

[DOI]

Grigorios G. Chrysos

Stefanos Zafeiriou

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

Valence and Arousal Estimation In-The-Wild with Tensor Methods.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE International Conference on Automatic Face & Gesture Recognition, 2019

T-Net: Parametrizing Fully Convolutional Nets With a Single High-Order Tensor.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Machine learning methods for face modelling and analysis in-the-wild.

[BibT_eX]

[DOI]

PhD thesis, 2018

Stochastic Activation Pruning for Robust Adversarial Defense.

[BibT_eX]

[DOI]

Guneet S. Dhillon

Proceedings of the 6th International Conference on Learning Representations, 2018

GAGAN: Geometry-Aware Generative Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Fast and Exact Newton and Bidirectional Fitting of Active Appearance Models.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2017

AFEW-VA database for valence and arousal estimation in-the-wild.

[BibT_eX]

[DOI]

Sinisa Todorovic

Image Vis. Comput., 2017

Tensor Regression Networks.

[BibT_eX]

[DOI]

CoRR, 2017

Tensor Contraction Layers for Parsimonious Deep Nets.

[BibT_eX]

[DOI]

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

2016

TensorLy: Tensor Learning in Python.

[BibT_eX]

[DOI]

Yannis Panagakis

CoRR, 2016

2015

Fast and exact bi-directional fitting of active appearance models.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

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

[BibT_eX]

[DOI]

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

2014

Machine learning for neuroimaging with scikit-learn.

[BibT_eX]

[DOI]

Frontiers Neuroinformatics, 2014

Fast Newton active appearance models.

[BibT_eX]

[DOI]