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ORCIDOleksiy Ostapenko
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2020 – today
- 2026
[i16]Oleksiy Ostapenko, Raymond Li, Torsten Scholak, Alireza Mousavi-Hosseini, Aman Tiwari, Denis Kocetkov, Joel Lamy-Poirier, Kelechi Ogueji, Nanda H. Krishna, Rafael Pardinas, Sathwik Tejaswi Madhusudhan, Shruthan Radhakrishna, Srinivas Sunkara, Valérie Bécaert:
Super Apriel: One Checkpoint, Many Speeds. CoRR abs/2604.19877 (2026)- 2025
- [i15]Samin Yeasar Arnob, Zhan Su, Minseon Kim, Oleksiy Ostapenko, Riyasat Ohib, Esra'a Saleh, Doina Precup, Lucas Caccia, Alessandro Sordoni:
Exploring Sparse Adapters for Scalable Merging of Parameter Efficient Experts. CoRR abs/2507.07140 (2025) - [i14]Oleksiy Ostapenko, Charles Guille-Escuret, Luke Kumar, Max Tian, Denis Kocetkov, Gopeshh Subbaraj, Raymond Li, Joel Lamy-Poirier, Sébastien Paquet, Torsten Scholak:
Using Scaling Laws for Data Source Utility Estimation in Domain-Specific Pre-Training. CoRR abs/2507.22250 (2025) - [i13]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:
Apriel-Nemotron-15B-Thinker. CoRR abs/2508.10948 (2025) - [i12]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:
Apriel-H1: Towards Efficient Enterprise Reasoning Models. CoRR abs/2511.02651 (2025) - [i11]Vaibhav Singh, Oleksiy Ostapenko, Pierre-André Noël, Torsten Scholak:
Breaking the Bottleneck with DiffuApriel: High-Throughput Diffusion LMs with Mamba Backbone. CoRR abs/2511.15927 (2025) - 2024
- [c10]Oleksiy Ostapenko, Zhan Su, Edoardo M. Ponti, Laurent Charlin, Nicolas Le Roux, Lucas Caccia, Alessandro Sordoni:
Towards Modular LLMs by Building and Reusing a Library of LoRAs. ICML 2024: 38885-38904 - [i10]Oleksiy Ostapenko, Zhan Su, Edoardo Maria Ponti, Laurent Charlin, Nicolas Le Roux, Matheus Pereira, Lucas Caccia, Alessandro Sordoni:
Towards Modular LLMs by Building and Reusing a Library of LoRAs. CoRR abs/2405.11157 (2024) - 2023
- [c9]Oleksiy Ostapenko, Pau Rodríguez, Alexandre Lacoste, Laurent Charlin:
From IID to the Independent Mechanisms assumption in continual learning. AAAI Bridge Program 2023: 25-29 - [c8]Timothée Lesort, Oleksiy Ostapenko, Pau Rodríguez, Diganta Misra, Md Rifat Arefin, Laurent Charlin, Irina Rish:
Challenging Common Assumptions about Catastrophic Forgetting and Knowledge Accumulation. CoLLAs 2023: 43-65 - [i9]Xinyi Wang, Lucas Caccia, Oleksiy Ostapenko, Xingdi Yuan, Alessandro Sordoni:
Guiding Language Model Reasoning with Planning Tokens. CoRR abs/2310.05707 (2023) - 2022
- [c7]Oleksiy Ostapenko, Timothée Lesort, Pau Rodríguez, Md Rifat Arefin, Arthur Douillard, Irina Rish, Laurent Charlin:
Continual Learning with Foundation Models: An Empirical Study of Latent Replay. CoLLAs 2022: 60-91 - [i8]Oleksiy Ostapenko, Timothée Lesort, Pau Rodríguez, Md Rifat Arefin, Arthur Douillard, Irina Rish, Laurent Charlin:
Foundational Models for Continual Learning: An Empirical Study of Latent Replay. CoRR abs/2205.00329 (2022) - [i7]Timothée Lesort, Oleksiy Ostapenko, Diganta Misra, Md Rifat Arefin, Pau Rodríguez, Laurent Charlin, Irina Rish:
Scaling the Number of Tasks in Continual Learning. CoRR abs/2207.04543 (2022) - 2021
- [c6]Oleksiy Ostapenko, Pau Rodríguez, Massimo Caccia, Laurent Charlin:
Continual Learning via Local Module Composition. NeurIPS 2021: 30298-30312 - [i6]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:
Sequoia: A Software Framework to Unify Continual Learning Research. CoRR abs/2108.01005 (2021) - [i5]Oleksiy Ostapenko, Pau Rodríguez, Massimo Caccia, Laurent Charlin:
Continual Learning via Local Module Composition. CoRR abs/2111.07736 (2021) - 2020
- [c5]Massimo Caccia, Pau Rodríguez, Oleksiy Ostapenko, Fabrice Normandin, Min Lin, Lucas Page-Caccia, Issam Hadj Laradji, Irina Rish, Alexandre Lacoste, David Vázquez, Laurent Charlin:
Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual Learning. NeurIPS 2020 - [i4]Massimo Caccia, Pau Rodríguez, Oleksiy Ostapenko, Fabrice Normandin, Min Lin, Lucas Caccia, Issam H. Laradji, Irina Rish, Alexandre Lacoste, David Vázquez, Laurent Charlin:
Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning. CoRR abs/2003.05856 (2020)
2010 – 2019
- 2019
- [c4]Oleksiy Ostapenko, Mihai Marian Puscas, Tassilo Klein
, Patrick Jähnichen, Moin Nabi:
Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning. CVPR 2019: 11321-11329 - [c3]Abdullah Salama, Oleksiy Ostapenko, Tassilo Klein, Moin Nabi:
Prune Your Neurons Blindly: Neural Network Compression through Structured Class-blind Pruning. ICASSP 2019: 2802-2806 - [c2]Frederik Pahde, Oleksiy Ostapenko, Patrick Jähnichen, Tassilo Klein, Moin Nabi:
Self-Paced Adversarial Training for Multimodal Few-Shot Learning. WACV 2019: 218-226 - [i3]Oleksiy Ostapenko, Mihai Marian Puscas, Tassilo Klein, Patrick Jähnichen, Moin Nabi:
Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning. CoRR abs/1904.03137 (2019) - [i2]Abdullah Salama, Oleksiy Ostapenko, Tassilo Klein, Moin Nabi:
Pruning at a Glance: Global Neural Pruning for Model Compression. CoRR abs/1912.00200 (2019) - 2018
- [c1]Mykola Radchenko, Roman Radchenko, Oleksiy Ostapenko, Anatoliy Zubarev, Artem Hrych:
Enhancing the Utilization of Gas Engine Module Exhaust Heat by Two-stage Chillers for Combined Electricity, Heat and Refrigeration. ICSAI 2018: 240-244 - [i1]Frederik Pahde, Oleksiy Ostapenko, Patrick Jähnichen, Tassilo Klein, Moin Nabi:
Self Paced Adversarial Training for Multimodal Few-shot Learning. CoRR abs/1811.09192 (2018)
Coauthor Index
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