Research & Publications

My published research work and a curated collection of influential papers in deep learning and computer vision.

My Publications

Google Scholar

Renewable energy management in smart home environment via forecast embedded scheduling based on Recurrent Trend Predictive Neural Network

O. Copur, et al.
2023
Applied Energy, 340Energy Systems

Novel neural network approach for renewable energy forecasting and scheduling in smart home environments.

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Engagement detection with multi-task training in e-learning environments

O. Copur, et al.
2021
ICIAPComputer Vision

Multi-task deep learning system for analyzing video data and assessing subject engagement during educational content.

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Publications I Find Interesting

Transformer-Squared: Self-adaptive LLMs

Qi Sun, Edoardo Cetinet al.
2025
arXivLarge Language Models

Novel framework for LLMs that can dynamically adapt to different tasks in real-time by selectively adjusting weight matrix components using reinforcement learning.

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Internet Explorer: Targeted Representation Learning on the Open Web

Alexander C. Li, Ellis Brownet al.
2023
arXivSelf-Supervised Learning

Dynamic approach that actively searches the internet and downloads relevant images to train small-scale ML models, moving beyond static datasets.

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DINOv3

Oriane Siméoni, Huy V. Voet al.
2025
arXivFoundation Models

Self-supervised learning approach for computer vision with Gram anchoring to address feature degradation, creating versatile visual foundation models.

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Perception Encoder: The best visual embeddings are not at the output of the network

Daniel Bolya, Po-Yao Huanget al.
2025
arXivVision Encoders

Novel vision encoder that produces strong embeddings from intermediate network layers through contrastive vision-language training, achieving SOTA results.

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RADIOv2.5: Improved Baselines for Agglomerative Vision Foundation Models

Greg Heinrich, Mike Ranzingeret al.
2024
arXivFoundation Models

Advanced techniques for training vision foundation models using multi-teacher distillation with solutions for resolution shifts and teacher imbalance.

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