Enmao Diao

Taposh Banerjee

IEEE Access, 2024

ESC: Efficient Speech Coding with Cross-Scale Residual Vector Quantized Transformers.

[BibT_eX]

[DOI]

Yuzhe Gu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Efficient and Collaborative Methods for Distributed Machine Learning.

[BibT_eX]

[DOI]

PhD thesis, 2023

Robust Quickest Change Detection for Unnormalized Models.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Semi-Supervised Federated Learning for Keyword Spotting.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo Workshops, 2023

Pruning Deep Neural Networks from a Sparsity Perspective.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Score-based Quickest Change Detection for Unnormalized Models.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

A Theoretical Understanding of Neural Network Compression from Sparse Linear Approximation.

[BibT_eX]

[DOI]

CoRR, 2022

Score-Based Hypothesis Testing for Unnormalized Models.

[BibT_eX]

[DOI]

IEEE Access, 2022

SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training.

[BibT_eX]

[DOI]

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

GAL: Gradient Assisted Learning for Decentralized Multi-Organization Collaborations.

[BibT_eX]

[DOI]

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

A Physics-Informed Vector Quantized Autoencoder for Data Compression of Turbulent Flow.

[BibT_eX]

[DOI]

Mohammadreza Momenifar

Andrew D. Bragg

Proceedings of the Data Compression Conference, 2022

Multimodal Controller for Generative Models.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision and Machine Intelligence, 2022

Personalized Federated Recommender Systems with Private and Partially Federated AutoEncoders.

[BibT_eX]

[DOI]

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021

On Statistical Efficiency in Learning.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2021

Emulating Spatio-Temporal Realizations of Three-Dimensional Isotropic Turbulence via Deep Sequence Learning Models.

[BibT_eX]

[DOI]

Mohammadreza Momenifar

Andrew D. Bragg

CoRR, 2021

Privacy-Preserving Multi-Target Multi-Domain Recommender Systems with Assisted AutoEncoders.

[BibT_eX]

[DOI]

CoRR, 2021

SemiFL: Communication Efficient Semi-Supervised Federated Learning with Unlabeled Clients.

[BibT_eX]

[DOI]

CoRR, 2021

Gradient Assisted Learning.

[BibT_eX]

[DOI]

CoRR, 2021

HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Speech Emotion Recognition with Dual-Sequence LSTM Architecture.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Deep Clustering of Compressed Variational Embeddings.

[BibT_eX]

[DOI]

Proceedings of the Data Compression Conference, 2020

DRASIC: Distributed Recurrent Autoencoder for Scalable Image Compression.

[BibT_eX]

[DOI]

Proceedings of the Data Compression Conference, 2020

2019

Distributed Lossy Image Compression with Recurrent Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Restricted Recurrent Neural Networks.

[BibT_eX]

[DOI]