Parallel Algorithm for Run Length Encoding. - Nikolay Manchev (ITNG, 2006)

Target Propagation in Recurrent Neural Networks. - Nikolay Manchev; Michael W. Spratling (J. Mach. Learn. Res., 2020)

On the Biological Plausibility of Orthogonal Initialisation for Solving Gradient Instability in Deep Neural Networks. - Nikolay Manchev; Michael W. Spratling (ISCMI, 2022)

StreamMLOps: Operationalizing Online Learning for Big Data Streaming & Real-Time Applications. - Mariam Barry; Jacob Montiel; Albert Bifet; Sameer Wadkar; Nikolay Manchev; Max Halford; Raja Chiky; Saad El Jaouhari; Katherine B. Shakman; Joudi Al Fehaily; Fabrice Le Deit; Vinh-Thuy Tran; et al. (ICDE, 2023)

Learning multi-modal recurrent neural networks with target propagation. - Nikolay Manchev; Michael W. Spratling (Comput. Intell., 2024)

Can Local Representation Alignment RNNs Solve Temporal Tasks? - Nikolay Manchev; Luis C. García-Peraza-Herrera (CoRR, 2025)