About me
I am a Ph.D. student in Computer Science at the Robotics and Perception Group (RPG), supervised by Professor Davide Scaramuzza, and an Associated Researcher at the ETH AI Center. My primary research interests are in sequence modeling and machine learning fundamentals. This theoretical work directly informs the development of efficient neural network architectures, with practical applications such as neuromorphic (event-based) vision systems. I am also interested in dynamical systems, theoretical computer science, and applied mathematics, particularly where these fields intersect with computational and mathematical challenges. If you would like to discuss my work or explore potential collaborations, please feel free to contact me or check my recent papers in the Publications tab.
Before joining RPG, I obtained my Master's degree in Computer Science from the Faculty of Technical Sciences in Novi Sad, Serbia. During my master's studies, I completed an internship at the University of Cambridge, supervised by Professor Pietro Liò.
Recent News
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Feb. 6, 2025
My work on Limitations of Deep Learning appeared in QuantaMagazine! Article is available here.
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Jan. 22, 2025
"Limits of Deep Learning: Sequence Modeling through the Lens of Complexity Theory" has been accepted at ICLR 2025 (this year in Singapore)!
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Aug. 1, 2024
I gave a 1.5-hour talk on "Limits of Deep Learning: Sequence Modeling through the Lens of Complexity Theory" at Cohere for AI. Details here.
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Apr. 11, 2024
I gave a 1-hour talk on "State Space Models for Event Cameras - New perspectives and directions" at KTH Royal Institute of Technology, organised by Prof. Jörg Conradt. Details here.
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Mar. 8, 2024
I gave a 1-hour talk on "State Space Models for Event Cameras" at Stochastic Finance Group led by Prof. Josef Teichmann. Details here.
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Feb. 26, 2024
"State Space Models for Event Cameras" has been accepted at CVPR 2024 in Seattle!