Matko Bošnjak

Computer Science · Physical Sciences

16h-index8.8kcitations41works3.32yr avg
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Research Topics

Topic Modeling(13), Natural Language Processing Techniques(6), Neural Networks and Applications(6), Advanced Graph Neural Networks(6), Recommender Systems and Techniques(5)

Publications41 total

Detection and tracking of moving objects based on radar and camera fusion
FER Repository·2025Open Access
PaliGemma: A versatile 3B VLM for transfer
arXiv (Cornell University)·2024· 9 citedOpen Access
Improving fine-grained understanding in image-text pre-training
arXiv (Cornell University)·2024· 1 citedOpen Access
Multiple object tracking via multiple hypothesis method
FER Repository·2023
SemPPL: Predicting pseudo-labels for better contrastive representations
arXiv (Cornell University)·2023· 4 citedOpen Access
A Generalist Neural Algorithmic Learner
arXiv (Cornell University)·2022· 7 citedOpen Access
Making Sense of Raw Input (Extended Abstract)
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence·2022Open Access
Reasoning-Modulated Representations
arXiv (Cornell University)·2021· 1 citedOpen Access
Making sense of raw input
Artificial Intelligence·2021· 27 citedOpen Access
On Differentiable Interpreters
UCL Discovery (University College London)·2021
Formalising Concepts as Grounded Abstractions
arXiv (Cornell University)·2021Open Access
Differentiable Reasoning on Large Knowledge Bases and Natural Language
Proceedings of the AAAI Conference on Artificial Intelligence·2020· 71 citedOpen Access
Differentiable Reasoning on Large Knowledge Bases and Natural Language
Studies on the semantic web·2020· 12 cited
Differentiable Reasoning on Large Knowledge Bases and Natural Language
arXiv (Cornell University)·2019Open Access
Neural Variational Inference For Estimating Uncertainty in Knowledge\n Graph Embeddings
arXiv (Cornell University)·2019· 3 citedOpen Access
Neural Variational Inference For Estimating Uncertainty in Knowledge Graph Embeddings
arXiv (Cornell University)·2019· 2 citedOpen Access
COBRA: Data-Efficient Model-Based RL through Unsupervised Object Discovery and Curiosity-Driven Exploration
arXiv (Cornell University)·2019· 67 citedOpen Access
Scalable Neural Theorem Proving on Knowledge Bases and Natural Language
2018· 1 cited
Towards Neural Theorem Proving at Scale
arXiv (Cornell University)·2018· 16 citedOpen Access
SCAN: Learning Hierarchical Compositional Visual Concepts
UCL Discovery (University College London)·2018· 40 cited
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Frequent Co-authors

Tim Rocktäschel(13), Sebastian Riedel(13), Tomislav Šmuc(8), Pasquale Minervini(8), Alexander Lerchner(5), Nino Antulov-Fantulin(5), Edward Grefenstette(4), Dragan Gamberger(4), Charles Blundell(4), Fran Supek(3), Nives Škunca(3), Isabelle Augenstein(3), Löıc Matthey(3), Christopher Burgess(3), Lars Buesing(3), Miha Grćar(3), Razvan Pascanu(3), Panče Panov(2), Sašo Džeroski(2), Ben Eisner(2)