Oleksiy Ostapenko

25 papers A* 4A 1Misc 1Journal 15Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Apriel-H1: Towards Efficient Enterprise Reasoning Models. CoRR Oleksiy Ostapenko, Luke Kumar, Raymond Li, Denis Kocetkov, Joel Lamy-Poirier, Shruthan Radhakrishna, Soham Parikh, Shambhavi Mishra, Sébastien Paquet, Srinivas Sunkara, Valérie Bécaert, Sathwik Tejaswi Madhusudhan, Torsten Scholak
2025	J	`jnl`	Apriel-Nemotron-15B-Thinker. CoRR Shruthan Radhakrishna, Soham Parikh, Gopal Sarda, Anil Turkkan, Quaizar Vohra, Raymond Li, Dhruv Jhamb, Kelechi Ogueji, Aanjaneya Shukla, Oluwanifemi Bamgbose, Toby Liang, Luke Kumar, Oleksiy Ostapenko, Shiva Krishna Reddy Malay, Aman Tiwari, Tara Bogavelli, Vikas Yadav, Jash Mehta, Saloni Mittal, Akshay Kalkunte, Pulkit Pattnaik, Khalil Slimi, Anirudh Sreeram, Jishnu Sethumadhavan Nair, Akintunde Oladipo, Shashank Maiya, Khyati Mahajan, Rishabh Maheshwary, Masoud Hashemi, Sai Rajeswar Mudumba, Sathwik Tejaswi Madhusudhan, Torsten Scholak, Sébastien Paquet, Sagar Davasam, Srinivas Sunkara
2025	J	`jnl`	Breaking the Bottleneck with DiffuApriel: High-Throughput Diffusion LMs with Mamba Backbone. CoRR Vaibhav Singh, Oleksiy Ostapenko, Pierre-André Noël, Torsten Scholak
2025	J	`jnl`	Exploring Sparse Adapters for Scalable Merging of Parameter Efficient Experts. CoRR Samin Yeasar Arnob, Zhan Su, Minseon Kim, Oleksiy Ostapenko, Riyasat Ohib, Esra'a Saleh, Doina Precup, Lucas Caccia, Alessandro Sordoni
2025	J	`jnl`	Using Scaling Laws for Data Source Utility Estimation in Domain-Specific Pre-Training. CoRR Oleksiy Ostapenko, Charles Guille-Escuret, Luke Kumar, Max Tian, Denis Kocetkov, Gopeshh Subbaraj, Raymond Li, Joel Lamy-Poirier, Sébastien Paquet, Torsten Scholak
2024	A*	`conf`	Towards Modular LLMs by Building and Reusing a Library of LoRAs. ICML Oleksiy Ostapenko, Zhan Su, Edoardo M. Ponti, Laurent Charlin, Nicolas Le Roux, Lucas Caccia, Alessandro Sordoni
2024	J	`jnl`	Towards Modular LLMs by Building and Reusing a Library of LoRAs. CoRR Oleksiy Ostapenko, Zhan Su, Edoardo Maria Ponti, Laurent Charlin, Nicolas Le Roux, Matheus Pereira, Lucas Caccia, Alessandro Sordoni
2023	—	`conf`	Challenging Common Assumptions about Catastrophic Forgetting and Knowledge Accumulation. CoLLAs Timothée Lesort, Oleksiy Ostapenko, Pau Rodríguez, Diganta Misra, Md Rifat Arefin, Laurent Charlin, Irina Rish
2023	—	`conf`	From IID to the Independent Mechanisms assumption in continual learning. AAAI Bridge Program Oleksiy Ostapenko, Pau Rodríguez, Alexandre Lacoste, Laurent Charlin
2023	J	`jnl`	Guiding Language Model Reasoning with Planning Tokens. CoRR Xinyi Wang, Lucas Caccia, Oleksiy Ostapenko, Xingdi Yuan, Alessandro Sordoni
2022	—	`conf`	Continual Learning with Foundation Models: An Empirical Study of Latent Replay. CoLLAs Oleksiy Ostapenko, Timothée Lesort, Pau Rodríguez, Md Rifat Arefin, Arthur Douillard, Irina Rish, Laurent Charlin
2022	J	`jnl`	Foundational Models for Continual Learning: An Empirical Study of Latent Replay. CoRR Oleksiy Ostapenko, Timothée Lesort, Pau Rodríguez, Md Rifat Arefin, Arthur Douillard, Irina Rish, Laurent Charlin
2022	J	`jnl`	Scaling the Number of Tasks in Continual Learning. CoRR Timothée Lesort, Oleksiy Ostapenko, Diganta Misra, Md Rifat Arefin, Pau Rodríguez, Laurent Charlin, Irina Rish
2021	A*	`conf`	Continual Learning via Local Module Composition. NeurIPS Oleksiy Ostapenko, Pau Rodríguez, Massimo Caccia, Laurent Charlin
2021	J	`jnl`	Continual Learning via Local Module Composition. CoRR Oleksiy Ostapenko, Pau Rodríguez, Massimo Caccia, Laurent Charlin
2021	J	`jnl`	Sequoia: A Software Framework to Unify Continual Learning Research. CoRR 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, Massimo Caccia
2020	A*	`conf`	Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual Learning. NeurIPS Massimo Caccia, Pau Rodríguez, Oleksiy Ostapenko, Fabrice Normandin, Min Lin, Lucas Page-Caccia, Issam Hadj Laradji, Irina Rish, Alexandre Lacoste, David Vázquez, Laurent Charlin
2020	J	`jnl`	Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning. CoRR Massimo Caccia, Pau Rodríguez, Oleksiy Ostapenko, Fabrice Normandin, Min Lin, Lucas Caccia, Issam H. Laradji, Irina Rish, Alexandre Lacoste, David Vázquez, Laurent Charlin
2019	A*	`conf`	Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning. CVPR Oleksiy Ostapenko, Mihai Marian Puscas, Tassilo Klein, Patrick Jähnichen, Moin Nabi
2019	J	`jnl`	Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning. CoRR Oleksiy Ostapenko, Mihai Marian Puscas, Tassilo Klein, Patrick Jähnichen, Moin Nabi
2019	Misc	`conf`	Prune Your Neurons Blindly: Neural Network Compression through Structured Class-blind Pruning. ICASSP Abdullah Salama, Oleksiy Ostapenko, Tassilo Klein, Moin Nabi
2019	J	`jnl`	Pruning at a Glance: Global Neural Pruning for Model Compression. CoRR Abdullah Salama, Oleksiy Ostapenko, Tassilo Klein, Moin Nabi
2019	A	`conf`	Self-Paced Adversarial Training for Multimodal Few-Shot Learning. WACV Frederik Pahde, Oleksiy Ostapenko, Patrick Jähnichen, Tassilo Klein, Moin Nabi
2018	—	`conf`	Enhancing the Utilization of Gas Engine Module Exhaust Heat by Two-stage Chillers for Combined Electricity, Heat and Refrigeration. ICSAI Mykola Radchenko, Roman Radchenko, Oleksiy Ostapenko, Anatoliy Zubarev, Artem Hrych
2018	J	`jnl`	Self Paced Adversarial Training for Multimodal Few-shot Learning. CoRR Frederik Pahde, Oleksiy Ostapenko, Patrick Jähnichen, Tassilo Klein, Moin Nabi