Publications

Cohort 2024 - 2026

• L. Đoković and A. Lin. XFeat Revisited: Reproducibility and Evaluation of a Lightweight Image Matcher. Transactions on Machine Learning Research (TMLR), 2026. Reproducibility Certification. Selected for presentation at the MLRC Reproducibility Track, NeurIPS 2026.
• J.E. Hernandez, M. Díaz Lupone, Ž. Emeršič, V. Štruc, P. Peer, D.Tomašević. PIU: Proximity-guided Identity Unlearning in ID-Conditioned Diffusion Models. IJCB 2026.
• G. Masdemont, J. Legendre, G. T. Papadakis. Far-field heat transfer and monochromatic thermal currents in a cylindrical nonreciprocal cavity. Phys. Rev. Res. 8 (023293) 2026
• Najeh Alhalawani, Lorenzo Cirillo, Irene Amerini, A comprehensive evaluation framework and efficient regularization strategy for adversarial robustness of deepfake detectors under closed and open set scenarios, Computer Vision and Image Understanding, Volume 271, 2026, 104899, ISSN 1077-3142.
• Rotter, J., Benazet i Montobbio, P. & Hernández-Leo, D. (2026). Access Timing as Scaffolding: A Reinforcement Learning Approach to GenAI in Education. 
• A. Bilal, M. A. Mohsin, M. Umer, A. Subhan, H. Rizwan, A. Mohsin, D. F. Hougen. What If We Allocate Test-Time Compute Adaptively?. Forty-third International Conference on Machine Learning (ICML), 2026.
• Benazet i Montobbio, P., Rotter, J., & Hernández-Leo, D. (2026). Experiential Versus Instructional Approaches for Eliciting Metacognitive Awareness in AI-Assisted Learning: A Short-Term Longitudinal Study. 
• D. Atri, P. Krishna, D. B. Dhuri, J. Lee, G. Krishnan, M. D. Smith. Methane on Mars? Insights from EMM/EMIRS and MGS/TES. Lunar and Planetary Institute Contributions 3090 (Abstract 1588), March 2025
• M. A. Mohsin, M. Umer, A. Bilal, Z. Memon, M. I. Qadir, S. Bhattacharya, H. Rizwan, A. R. Gorle, M. Z. Kazmi, A. Subhan, M. U. Rafique, Z. He, P. Mehta, M. A. Jamshed, J. M. Cioffi. On the Fundamental Limits of LLMs at Scale. 
• G. Krishnan, J. Drabek, K. Ganguli, C. Guedes. Closing the Loop on Speech-to-Music Translation: Automatically Generating Synthetic Percussive Sequences on the Mridangam from Konnakol. SALMA Workshop, co-located with IEEE ICASSP 2025, April 2025
• G. Krishnan, K. Ganguli, C. Guedes. Investigating Temporal Convolutional Networks for Automated Stroke Transcription in the Mridangam. Workshop on Indian Music Analysis and Generative Applications (WIMAGA), co-located with IEEE ICASSP 2025, April 2025
• Rotter, J., & Bailkoski, W. (2025). AI Adoption in NGOs: A Systematic Literature Review. 
• L. Đoković, M. Robnik-Šikonja. Sarcasm detection in a less-resourced language. In Proceedings of Slovenian Conference on Artificial Intelligence (SCAI), Oct. 2024.

Cohort 2023-2025

• A. Gheorghiu., T. Alkanat., and A. Pandharipande., Graph transformers for automotive radar clutter and target classification at the edge. ICASSP 2026.
• A. Gheorghiu., T. Alkanat., and A. Pandharipande., Lightweight graph transformers for clutter and target classification in automotive radar. IEEE Sensors Journal, Vol.26, No.6. (2026)
• BP Ribeiro, JF Pucer. FlowCast: Advancing Precipitation Nowcasting with Conditional Flow Matching. ICLR 2026
• L. Lumburovska, P. J. Ferreira Moreira, J. Bogojeska. Recovering Progression Beyond the Identity Shortcut: A Schrödinger Bridge Framework for Longitudinal Brain-MRI. MICCAI 2026 Workshop DGM4MICCAI.
• A. Gheorghiu., I. Tăiatu., D. Cercel., I. Marin., and F. Pop., Evaluating data augmentation techniques for coffee leaf disease classification, in Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, 2024.