Publications

Mohammad Hassan Vali, Tom Bäckström, Arno Solin (2025). DiVeQ: Differentiable Vector Quantization Using the Reparameterization Trick. arXiv preprint.

Tom Bäckström, Mohammad Hassan Vali, My Nguyen, Silas Rech (2025). Privacy Disclosure of Similarity Rank in Speech and Language Processing. arXiv preprint.

Mohammad Hassan Vali, Tom Bäckström (2025). Unsupervised Panoptic Interpretation of Latent Spaces in GANs Using Space-Filling Vector Quantization. Transactions on Machine Learning Research (TMLR).

Haishan Wang, Mohammad Hassan Vali, Arno Solin (2025). Compressing 3D Gaussian Splatting by Noise-Substituted Vector Quantization. Proceedings of Scandinavian Conference on Image Analysis (SCIA).

Mohammad Hassan Vali (2025). Vector Quantization in Deep Neural Networks for Speech and Image Processing. Ph.D. Thesis, Aalto University.

Mohammad Hassan Vali, Tom Bäckström (2024). Privacy PORCUPINE: Anonymization of Speaker Attributes Using Occurrence Normalization for Space-Filling Vector Quantization. Proceedings of Interspeech.

Esteban Gómez, Mohammad Hassan Vali, Tom Bäckström (2023). Low-Complexity Real-Time Neural Network for Blind Bandwidth Extension of Wideband Speech. Proceedings of the European Signal Processing Conference (EUSIPCO).

Mohammad Hassan Vali, Tom Bäckström (2023). Interpretable Latent Space Using Space-Filling Curves for Phonetic Analysis in Voice Conversion. Proceedings of Interspeech.

Silas Rech, Mohammad Hassan Vali, Tom Bäckström (2023). Privacy and Quality Improvements in Open Offices Using Multi-Device Speech Enhancement. Proceedings of 3rd Symposium on Security and Privacy in Speech Communication.

Mohammad Hassan Vali, Tom Bäckström (2023). Stochastic Optimization of Vector Quantization Methods in Application to Speech and Image Processing. Proceedings of International Conference on Acoustics, Speech, and Signal Processing (ICASSP).