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Day: June 18, 2024

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Stabilising Reinforcement Learning with Past Action-State Representation Learning

June 18, 2024June 25, 2024 audias

Speaker: Tamas Endrei. Abstract: Although deep reinforcement learning (DRL) deals with sequential decision-making problems, temporal information representation is absent from state-of-the-art actor-critic algorithms. The reliance on only the current timestep information causes instability in concurrent actions. Furthermore, the over-reliance on… Read More

AUDIAS Seminars

AUDIAS Seminars

Real-Time Room Acoustics Simulation Using Hybrid Wave-Based, Geometric, and Stochastic Models

July 24, 2026

Speaker: Maya Tia Kanani. Abstract: Real-time acoustic simulation remains a…

Semi-supervised sound event detection for AnuraSet using a mean teacher framework

July 22, 2026

Speaker: Vicente Jose Escarigo Miranda Abstract: Anuran vocalizations are valuable…

Prediction of HIF Binding Sites

July 17, 2026

Speaker: Elias Boudjella. Abstract: This presentation describes a deep learning…

Rigorous Forensic Automatic Speaker Recognition: Bayesian Decision Theory, Probabilistic Calibration and Case-Specific Validation

July 10, 2026

Speaker: Daniel Ramos. Abstract: The use of automatic speaker recognition…

About AUDIAS

AUDIAS is a solid research group addressing challenging problems in speech, audio and temporal signals from deep foundations in machine learning and signal processing.

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Highlights

Real-Time Room Acoustics Simulation Using Hybrid Wave-Based, Geometric, and Stochastic Models

July 24, 2026

Semi-supervised sound event detection for AnuraSet using a mean teacher framework

July 22, 2026
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