Simulation-based Inference for Cardiovascular Models
This paper was accepted at the workshop Machine Learning and the Physical Sciences at NeurIPS 2023.
Over the past decades, hemodynamics simulators have steadily...
Unbalanced Low-Rank Optimal Transport Solvers
Two salient limitations have long hindered the relevance of optimal transport methods to machine learning. First, the computational cost of standard sample-based...
FastSR-NeRF: Improving NeRF Efficiency on Consumer Devices with A Simple Super-Resolution Pipeline
Super-resolution (SR) techniques have recently been proposed to upscale the outputs of neural radiance fields (NeRF) and generate high-quality images with enhanced inference...
Hybrid Model Learning for Cardiovascular Biomarkers Inference
This paper was accepted at the workshop Deep Generative Models for Health at NeurIPS 2023.
Cardiovascular diseases (CVDs) are a major global health concern,...
Personalization of CTC-based End-to-End Speech Recognition Using Pronunciation-Driven Subword Tokenization
Recent advances in deep learning and automatic speech recognition have boosted the accuracy of end-to-end speech recognition to a new level. However, recognition...
Advancing Speech Accessibility with Personal Voice
Advancing Speech Accessibility with Personal Voice
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Deploying Attention-Based Vision Transformers to Apple Neural Engine
Deploying Attention-Based Vision Transformers to Apple Neural Engine
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