Angelos Nalmpantis

According to our database, Angelos Nalmpantis authored at least 8 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A Behavioural and Representational Evaluation of Goal-Directedness in Language Model Agents.

Raghu Arghal, Fade Chen, Niall Dalton, Evgenii Kortukov, Calum McNamara, Angelos Nalmpantis, Moksh Nirvaan, Gabriele Sarti, Mario Giulianelli

CoRR, February, 2026

To Case or Not to Case: An Empirical Study in Learned Sparse Retrieval.

Emmanouil Georgios Lionis, Jia-Huei Ju, Angelos Nalmpantis, Casper Thuis, Sean MacAvaney, Andrew Yates

Proceedings of the Advances in Information Retrieval, 2026

2025

Explicit Bandwidth Learning for FOREX Trading Using Deep Reinforcement Learning.

Angelos Nalmpantis, Nikolaos Passalis, Anastasios Tefas

IEEE Signal Process. Lett., 2025

Hierarchical Multi-Positive Contrastive Learning for Patent Image Retrieval.

Kshitij Kavimandan, Angelos Nalmpantis, Emma Beauxis-Aussalet, Robert-Jan Sips

Proceedings of the 6th Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech 2025) co-located with the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2025), 2025

2023

Vision DiffMask: Faithful Interpretation of Vision Transformers With Differentiable Patch Masking.

Angelos Nalmpantis, Apostolos Panagiotopoulos, John Gkountouras, Konstantinos Papakostas, Wilker Aziz

Proceedings of the 2nd Explainable AI for Computer Vision Workshop, 2023

End-to-End Trainable Gaussian Filtering for Electrocardiogram Signal Classification Using Deep Learning.

Angelos Nalmpantis, Nikolaos Passalis, Anastasios Tefas

Proceedings of the 31st European Signal Processing Conference, 2023

2021

Deep adaptive group-based input normalization for financial trading.

Angelos Nalmpantis, Nikolaos Passalis, Avraam Tsantekidis, Anastasios Tefas

Pattern Recognit. Lett., 2021

Improving Deep Reinforcement Learning for Financial Trading Using Deep Adaptive Group-Based Normalization.

Angelos Nalmpantis, Nikolaos Passalis, Avraam Tsantekidis, Anastasios Tefas

Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021