Enhancing the Utilization of Gas Engine Module Exhaust Heat by Two-stage Chillers for Combined Electricity, Heat and Refrigeration. - Mykola Radchenko; Roman Radchenko; Oleksiy Ostapenko; Anatoliy Zubarev; Artem Hrych (ICSAI, 2018)

Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning. - Oleksiy Ostapenko; Mihai Marian Puscas; Tassilo Klein; Patrick Jähnichen; Moin Nabi (CVPR, 2019)

Prune Your Neurons Blindly: Neural Network Compression through Structured Class-blind Pruning. - Abdullah Salama; Oleksiy Ostapenko; Tassilo Klein; Moin Nabi (ICASSP, 2019)

Self-Paced Adversarial Training for Multimodal Few-Shot Learning. - Frederik Pahde; Oleksiy Ostapenko; Patrick Jähnichen; Tassilo Klein; Moin Nabi (WACV, 2019)

Pruning at a Glance: Global Neural Pruning for Model Compression. - Abdullah Salama; Oleksiy Ostapenko; Tassilo Klein; Moin Nabi (CoRR, 2019)

Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual Learning. - Massimo Caccia; Pau Rodríguez; Oleksiy Ostapenko; Fabrice Normandin; Min Lin; Lucas Page-Caccia; Issam Hadj Laradji; Irina Rish; Alexandre Lacoste; David Vázquez 001; Laurent Charlin (NeurIPS, 2020)

Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning. - Massimo Caccia; Pau Rodríguez; Oleksiy Ostapenko; Fabrice Normandin; Min Lin; Lucas Caccia; Issam H. Laradji; Irina Rish; Alexandre Lacoste; David Vázquez 001; Laurent Charlin (CoRR, 2020)

Continual Learning via Local Module Composition. - Oleksiy Ostapenko; Pau Rodríguez; Massimo Caccia; Laurent Charlin (NeurIPS, 2021)

Sequoia: A Software Framework to Unify Continual Learning Research. - Fabrice Normandin; Florian Golemo; Oleksiy Ostapenko; Pau Rodríguez; Matthew D. Riemer; Julio Hurtado; Khimya Khetarpal; Dominic Zhao; Ryan Lindeborg; Timothée Lesort; Laurent Charlin; Irina Rish; et al. (CoRR, 2021)

Continual Learning with Foundation Models: An Empirical Study of Latent Replay. - Oleksiy Ostapenko; Timothée Lesort; Pau Rodríguez; Md Rifat Arefin; Arthur Douillard; Irina Rish; Laurent Charlin (CoLLAs, 2022)

Foundational Models for Continual Learning: An Empirical Study of Latent Replay. - Oleksiy Ostapenko; Timothée Lesort; Pau Rodríguez; Md Rifat Arefin; Arthur Douillard; Irina Rish; Laurent Charlin (CoRR, 2022)

Scaling the Number of Tasks in Continual Learning. - Timothée Lesort; Oleksiy Ostapenko; Diganta Misra; Md Rifat Arefin; Pau Rodríguez; Laurent Charlin; Irina Rish (CoRR, 2022)

From IID to the Independent Mechanisms assumption in continual learning. - Oleksiy Ostapenko; Pau Rodríguez; Alexandre Lacoste; Laurent Charlin (AAAI Bridge Program, 2023)

Challenging Common Assumptions about Catastrophic Forgetting and Knowledge Accumulation. - Timothée Lesort; Oleksiy Ostapenko; Pau Rodríguez; Diganta Misra; Md Rifat Arefin; Laurent Charlin; Irina Rish (CoLLAs, 2023)

Guiding Language Model Reasoning with Planning Tokens. - Xinyi Wang 003; Lucas Caccia; Oleksiy Ostapenko; Xingdi Yuan; Alessandro Sordoni (CoRR, 2023)

Towards Modular LLMs by Building and Reusing a Library of LoRAs. - Oleksiy Ostapenko; Zhan Su 002; Edoardo M. Ponti; Laurent Charlin; Nicolas Le Roux; Lucas Caccia; Alessandro Sordoni (ICML, 2024)

Towards Modular LLMs by Building and Reusing a Library of LoRAs. - Oleksiy Ostapenko; Zhan Su 002; Edoardo Maria Ponti; Laurent Charlin; Nicolas Le Roux; Matheus Pereira; Lucas Caccia; Alessandro Sordoni (CoRR, 2024)

Exploring Sparse Adapters for Scalable Merging of Parameter Efficient Experts. - Samin Yeasar Arnob; Zhan Su 002; Minseon Kim; Oleksiy Ostapenko; Riyasat Ohib; Esra'a Saleh; Doina Precup; Lucas Caccia; Alessandro Sordoni (CoRR, 2025)

Using Scaling Laws for Data Source Utility Estimation in Domain-Specific Pre-Training. - Oleksiy Ostapenko; Charles Guille-Escuret; Luke Kumar; Max Tian; Denis Kocetkov; Gopeshh Subbaraj; Raymond Li; Joel Lamy-Poirier; Sébastien Paquet; Torsten Scholak (CoRR, 2025)

Apriel-Nemotron-15B-Thinker. - Shruthan Radhakrishna; Soham Parikh; Gopal Sarda; Anil Turkkan; Quaizar Vohra; Raymond Li; Dhruv Jhamb; Kelechi Ogueji; Aanjaneya Shukla; Oluwanifemi Bamgbose; Toby Liang; Luke Kumar; et al. (CoRR, 2025)