Strategies for Development of a Distributed Framework for Computational Sciences - Vladimir Berezovsky; Alexander Popov (CoRR, 2011)

Improving Word Sense Disambiguation with Linguistic Knowledge from a Sense Annotated Treebank. - Kiril Ivanov Simov; Alexander Popov; Petya Osenova (RANLP, 2015)

Autonomous 3D Reconstruction Using a MAV. - Alexander Popov; Dimitris Zermas; Nikolaos Papanikolopoulos (CoRR, 2015)

Deep Learning Architecture for Part-of-Speech Tagging with Word and Suffix Embeddings. - Alexander Popov (AIMSA, 2016)

Using Context Information for Knowledge-Based Word Sense Disambiguation. - Kiril Ivanov Simov; Petya Osenova; Alexander Popov (AIMSA, 2016)

Towards Semantic-based Hybrid Machine Translation between Bulgarian and English. - Kiril Ivanov Simov; Petya Osenova; Alexander Popov (SedMT@NAACL-HLT, 2016)

The Role of the WordNet Relations in the Knowledge-based Word Sense Disambiguation Task. - Kiril Simov; Alexander Popov; Petya Osenova (GWC, 2016)

Comparison of Word Embeddings from Different Knowledge Graphs. - Kiril Ivanov Simov; Petya Osenova; Alexander Popov (LDK, 2017)

Echo State Network for Word Sense Disambiguation. - Petia D. Koprinkova-Hristova; Alexander Popov; Kiril Ivanov Simov; Petya Osenova (AIMSA, 2018)

Lexical Modeling for Natural Language Processing. - Alexander Popov (CLARIN Annual Conference, 2018)

Grammatical Role Embeddings for Enhancements of Relation Density in the Princeton WordNet. - Kiril Simov; Alexander Popov; Iliana Simova; Petya Osenova (GWC, 2018)

Echo State vs. LSTM Networks for Word Sense Disambiguation. - Alexander Popov; Petia D. Koprinkova-Hristova; Kiril Simov; Petya Osenova (ICANN (Workshop), 2019)

Word Embeddings Improvement via Echo State Networks. - Kiril Ivanov Simov; Petia D. Koprinkova-Hristova; Alexander Popov; Petya Osenova (INISTA, 2019)

Graph Embeddings for Frame Identification. - Alexander Popov; Jennifer Sikos (RANLP, 2019)

Know Your Graph. State-of-the-Art Knowledge-Based WSD. - Alexander Popov; Kiril Simov; Petya Osenova (RANLP, 2019)

MVLidarNet: Real-Time Multi-Class Scene Understanding for Autonomous Driving Using Multiple Views. - Ke Chen; Ryan Oldja; Nikolai Smolyanskiy; Stan Birchfield; Alexander Popov; David Wehr; Ibrahim Eden; Joachim Pehserl (IROS, 2020)

Reconstructing NER Corpora: a Case Study on Bulgarian. - Iva Marinova; Laska Laskova; Petya Osenova; Kiril Simov; Alexander Popov (LREC, 2020)

Implementing an End-to-End Treebank-Informed Pipeline for Bulgarian. - Alexander Popov; Petya Osenova; Kiril Simov (TLT, 2020)

The Search for μ+ → e+γ with 10-14 Sensitivity: The Upgrade of the MEG Experiment. - Alessandro M. Baldini; Vladimir Baranov; Michele Biasotti; Gianluigi Boca; Paolo Walter Cattaneo; Gianluca Cavoto; Fabrizio Cei; Marco Chiappini; Gianluigi Chiarello; Alessandro Corvaglia; Federica Cuna; Giovanni Dal Maso; et al. (Symmetry, 2021)

NVRadarNet: Real-Time Radar Obstacle and Free Space Detection for Autonomous Driving. - Alexander Popov; Patrik Gebhardt; Ke Chen; Ryan Oldja; Heeseok Lee; Shane Murray; Ruchi Bhargava; Nikolai Smolyanskiy (CoRR, 2022)

Global inference of the structural connectivity of white matter fiber bundles using deep learning approaches and microstructural prior knowledge. (Inférence globale de la connectivité structurelle des faisceaux de substance blanche en utilisant des approches d'apprentissage profond et d'a priori microstructurels). - Alexander Popov (2022)

NVRadarNet: Real-Time Radar Obstacle and Free Space Detection for Autonomous Driving. - Alexander Popov; Patrik Gebhardt; Ke Chen; Ryan Oldja (ICRA, 2023)

A Reservoir Computing Approach to Word Sense Disambiguation. - Kiril Simov; Petia D. Koprinkova-Hristova; Alexander Popov; Petya Osenova (Cogn. Comput., 2023)

Warm-Start Variational Quantum Policy Iteration. - Nico Meyer; Jakob Murauer; Alexander Popov; Christian Ufrecht; Axel Plinge; Christopher Mutschler; Daniel D. Scherer (QCE, 2024)

An encryption algorithm using a generalization of the Markovski algorithm and a system of orthogonal operations based on T-quasigroups. - Nadeghda Malyutina; Alexander Popov; Victor Shcherbacov (CoRR, 2024)

Mitigating Covariate Shift in Imitation Learning for Autonomous Vehicles Using Latent Space Generative World Models. - Alexander Popov; Alperen Degirmenci; David Wehr; Shashank Hegde; Ryan Oldja; Alexey Kamenev; Bertrand Douillard; David Nistér; Urs Muller; Ruchi Bhargava; Stan Birchfield; Nikolai Smolyanskiy (CoRR, 2024)

Probabilistic Galois theory in function fields. - Alexei Entin; Alexander Popov (Finite Fields Their Appl., 2024)

Special aspects of using Big Data in the learning process. - Olga Agatova; Alexander Popov; Suad Abdalkareem Alwaely (Interact. Learn. Environ., 2024)

Data Scaling Laws for End-to-End Autonomous Driving. - Alexander Naumann; Xunjiang Gu; Tolga Dimlioglu; Mariusz Bojarski; Alperen Degirmenci; Alexander Popov; Devansh Bisla; Marco Pavone 001; Urs Muller; Boris Ivanovic (CVPR Workshops, 2025)