Bio
Doctoral Student
Email: [email protected]
About me
I am Asen Nachkov, a doctoral student at the Institute for Computer Science, Artificial Intelligence and Technology, Sofia University from October 2022, working in the broad field of computer vision. I am supervised by Prof. Luc Van Gool.
My main interests lie in computer vision and reinforcement learning. I am also interested in brain-inspired deep learning architectures and practical applications of ML to the real world.
Education
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Imperial College London, October 2020 – October 2021 MSc in Computing (AI & ML), Distinction
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Bocconi University, September 2017 – June 2020 BSc in Economics, Management, and Computer Science, 110/110 cum laude
Relevant Work Experience
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Amplify Analytix, Sofia, January 2022 – September 2022 Data Scientist
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Third Eye Intelligence, London, August 2020 – December 2021 ML Engineer
Publications
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Bag of Policies for Distributional Deep Exploration Asen Nachkov, Luchen Li, Giulia Luise, Filippo Valdettaro & A. Aldo Faisal
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Diffusion-Based Particle-DETR for BEV Perception Asen Nachkov, Martin Danelljan, Danda Pani Paudel, Luc Van Gool
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Ternary-type Opacity and Hybrid Odometry for RGB-only NeRF-SLAM Junru Lin, Asen Nachkov, Songyou Peng, Luc Van Gool, Danda Pani Paudel
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Autonomous Vehicle Controllers From End-to-End Differentiable Simulation Asen Nachkov, Danda Pani Paudel, Luc Van Gool
Publications
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Unlocking Efficient Vehicle Dynamics Modeling via Analytic World Models
2026 · AAAI Conference on Artificial Intelligence (AAAI 2026)
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Autonomous Vehicle Path Planning by Searching With Differentiable Simulation
2026 · AAAI Conference on Artificial Intelligence (AAAI 2026)
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Autonomous Vehicle Controllers From End-to-End Differentiable Simulation
2025 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025)
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Autonomous Vehicle Controllers From End-to-End Differentiable Simulation
2025 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025)
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Diffusion-Based Particle-DETR for BEV Perception
2025 · Winter Conference on Applications of Computer Vision (WACV 2025)
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Ternary-type Opacity and Hybrid Odometry for RGB-only NeRF-SLAM
2024 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024)
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Ternary-Type Opacity and Hybrid Odometry for RGB NeRF-SLAM
2024 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024)