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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

Anatomy of a Deepfake: Types of Attacks and Detection Evaluations

November 13, 2025

Speaker: Manuel Otero González. Abstract: This talk will explore the…

Mic-e-mouse and the new AI-based Ciber Attacks

November 6, 2025

Speaker: Juan Antonio Gordillo Gayo. Abstract: The vast amount of…

Calibration of Multiclass Classifiers: A Wee Tutorial.

October 30, 2025

Speaker: Daniel Ramos Castro. Abstract: Probabilistic predictions are vital for…

Titans: Learning to Memorize at Test Time

October 23, 2025

Speaker: Adrián Aranda Márquez. Abstract: This presentation provides an in-depth…

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

Anatomy of a Deepfake: Types of Attacks and Detection Evaluations

November 13, 2025

Mic-e-mouse and the new AI-based Ciber Attacks

November 6, 2025
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