Polyglot introduces a unified diffusion model for multilingual speech-driven facial animation that jointly conditions on language via transcript embeddings and personal style via reference sequences without requiring explicit labels.
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A parametric multi-objective Bayesian optimizer amortizes optimization across continuous task spaces by alternating generative solution sampling and acquisition-driven search to enable direct prediction for unseen problems without re-evaluations.
A data-derived baseline using feature effects on binary outcomes provides a model-agnostic way to check if machine learning explanations align with the underlying data structure.
citing papers explorer
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Polyglot: Multilingual Style Preserving Speech-Driven Facial Animation
Polyglot introduces a unified diffusion model for multilingual speech-driven facial animation that jointly conditions on language via transcript embeddings and personal style via reference sequences without requiring explicit labels.
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Amortized Multi-Objective Optimization Across Tasks with Generative Solution Modeling
A parametric multi-objective Bayesian optimizer amortizes optimization across continuous task spaces by alternating generative solution sampling and acquisition-driven search to enable direct prediction for unseen problems without re-evaluations.
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Does the Model Say What the Data Says? A Simple Heuristic for Model Data Alignment
A data-derived baseline using feature effects on binary outcomes provides a model-agnostic way to check if machine learning explanations align with the underlying data structure.