Mariya Hendriksen
Scholar

Mariya Hendriksen

Google Scholar ID: QYN_2acAAAAJ
University of Oxford
Artificial IntelligenceVision and LanguageAI for Neuroscience
Citations & Impact
All-time
Citations
221
 
H-index
9
 
i10-index
9
 
Publications
16
 
Co-authors
17
list available
Resume (English only)
Academic Achievements
  • - Presented 'Human-VLM Collaboration for Evaluating World Models' at CMU as a Spotlight
  • - Presented 'Image-Seeking Intent Prediction for Cross-Device Product Search' at RecSys Gen AI for E-commerce 2025 as an Oral
  • - Paper 'Benchmark Granularity and Model Robustness for Image-Text Retrieval' accepted at SIGIR 2025
  • - Paper 'Demonstrating and Reducing Shortcuts in Vision-Language Representation Learning' accepted at TMLR
  • - Paper 'Multimodal Learned Sparse Retrieval with Probabilistic Expansion Control' accepted at ECIR 2024
  • - Paper 'Scene-centric vs. Object-centric Image-Text Cross-modal Retrieval: A Reproducibility Study' accepted at ECIR 2023
Research Experience
  • - Research Fellow at the University of Oxford, working with Philip Torr and ʻŌiwi Parker Jones
  • - Interned at Microsoft Research (Cambridge), Gemini team
  • - Interned at Bloomberg AI, London, Question Answering team
  • - Interned at Amazon Alexa
  • - Interned at LIIR, KU Leuven
  • - Interned at ETH Zurich
Education
  • - PhD in Artificial Intelligence, University of Amsterdam, advised by Maarten de Rijke and Paul Groth
  • - MSc in AI, KU Leuven
  • - BSc in Computational Linguistics, Novosibirsk State University
Background
  • Research interests: multimodal machine learning for applications in neuroscience. Committed to fostering diverse and inclusive research communities.
Miscellany
  • Organizes the WiML Mentorship Program; served as the General Chair for the WiML at ICML 2025; mentored through the Inclusive AI initiative