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Ioannis Arapakis

Efficient and Effective Adaptation of Multimodal Foundation Models in Sequential Recommendation

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Nov 05, 2024
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Seeing Eye to AI: Human Alignment via Gaze-Based Response Rewards for Large Language Models

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Oct 02, 2024
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Diffusion Models for Tabular Data Imputation and Synthetic Data Generation

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Jul 02, 2024
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Protein pathways as a catalyst to directed evolution of the topology of artificial neural networks

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Jun 07, 2024
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IISAN: Efficiently Adapting Multimodal Representation for Sequential Recommendation with Decoupled PEFT

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Apr 11, 2024
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Reinforcement Learning-based Recommender Systems with Large Language Models for State Reward and Action Modeling

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Mar 25, 2024
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Awareness in robotics: An early perspective from the viewpoint of the EIC Pathfinder Challenge "Awareness Inside''

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Feb 14, 2024
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P4L: Privacy Preserving Peer-to-Peer Learning for Infrastructureless Setups

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Feb 26, 2023
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Supervised Advantage Actor-Critic for Recommender Systems

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Nov 05, 2021
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Choosing the Best of Both Worlds: Diverse and Novel Recommendations through Multi-Objective Reinforcement Learning

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Oct 28, 2021
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