Mohammad Vali
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    • Smol-GS: Compact Representations for Abstract 3D Gaussian Splatting
    • DiVeQ: Differentiable Vector Quantization Using the Reparameterization Trick
    • Self-Attention Decomposition for Training Free Diffusion Editing
    • Sparsely Supervised Diffusion
    • Privacy Disclosure of Similarity Rank in Speech and Language Processing
    • Unsupervised Panoptic Interpretation of Latent Spaces in GANs Using Space-Filling Vector Quantization
    • Compressing 3D Gaussian Splatting by Noise-Substituted Vector Quantization
    • Vector Quantization in Deep Neural Networks for Speech and Image Processing
    • Privacy PORCUPINE: Anonymization of Speaker Attributes Using Occurrence Normalization for Space-Filling Vector Quantization
    • Low-Complexity Real-Time Neural Network for Blind Bandwidth Extension of Wideband Speech
    • Interpretable Latent Space Using Space-Filling Curves for Phonetic Analysis in Voice Conversion
    • Privacy and Quality Improvements in Open Offices Using Multi-Device Speech Enhancement
    • Stochastic Optimization of Vector Quantization Methods in Application to Speech and Image Processing
    • Introduction to Speech Processing
    • NSVQ: Noise Substitution in Vector Quantization for Machine Learning
    • End-to-End Optimized Multi-Stage Vector Quantization of Spectral Envelopes for Speech and Audio Coding
    • Optimized watermarking technique using self-adaptive differential evolution based on redundant discrete wavelet transform and singular value decomposition
  • Recent Publications
    • DiVeQ: Differentiable Vector Quantization Using the Reparameterization Trick
    • Privacy Disclosure of Similarity Rank in Speech and Language Processing
    • Unsupervised Panoptic Interpretation of Latent Spaces in GANs Using Space-Filling Vector Quantization
    • Compressing 3D Gaussian Splatting by Noise-Substituted Vector Quantization
    • Vector Quantization in Deep Neural Networks for Speech and Image Processing
    • Privacy PORCUPINE: Anonymization of Speaker Attributes Using Occurrence Normalization for Space-Filling Vector Quantization
    • Low-Complexity Real-Time Neural Network for Blind Bandwidth Extension of Wideband Speech
    • Interpretable Latent Space Using Space-Filling Curves for Phonetic Analysis in Voice Conversion
    • Privacy and Quality Improvements in Open Offices Using Multi-Device Speech Enhancement
    • Stochastic Optimization of Vector Quantization Methods in Application to Speech and Image Processing
    • Introduction to Speech Processing
    • NSVQ: Noise Substitution in Vector Quantization for Machine Learning
    • End-to-End Optimized Multi-Stage Vector Quantization of Spectral Envelopes for Speech and Audio Coding
    • Optimized watermarking technique using self-adaptive differential evolution based on redundant discrete wavelet transform and singular value decomposition
  • Selected_pubs
    • DiVeQ: Differentiable Vector Quantization Using the Reparameterization Trick
    • Unsupervised Panoptic Interpretation of Latent Spaces in GANs Using Space-Filling Vector Quantization
    • Interpretable Latent Space Using Space-Filling Curves for Phonetic Analysis in Voice Conversion
    • NSVQ: Noise Substitution in Vector Quantization for Machine Learning
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DiVeQ: Differentiable Vector Quantization Using the Reparameterization Trick

Apr 25, 2026·
Mohammad Hassan Vali
,
Tom Bäckström
,
Arno Solin
· 0 min read
URL PyPI package PDF
Last updated on Apr 25, 2026
← Smol-GS: Compact Representations for Abstract 3D Gaussian Splatting May 10, 2026
Self-Attention Decomposition for Training Free Diffusion Editing Apr 21, 2026 →

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