Evgenii Nikishin

According to our database, Evgenii Nikishin authored at least 10 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Maxwell's Demon at Work: Efficient Pruning by Leveraging Saturation of Neurons.

Simon Dufort-Labbé, Pierluca D'Oro, Evgenii Nikishin, Irina Rish, Pierre-Luc Bacon, Razvan Pascanu, Aristide Baratin

Trans. Mach. Learn. Res., 2025

Forgetting Transformer: Softmax Attention with a Forget Gate.

Zhixuan Lin, Evgenii Nikishin, Xu Owen He, Aaron C. Courville

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Maxwell's Demon at Work: Efficient Pruning by Leveraging Saturation of Neurons.

Simon Dufort-Labbé, Pierluca D'Oro, Evgenii Nikishin, Razvan Pascanu, Pierre-Luc Bacon, Aristide Baratin

CoRR, 2024

The Curse of Diversity in Ensemble-Based Exploration.

Zhixuan Lin, Pierluca D'Oro, Evgenii Nikishin, Aaron C. Courville

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Deep Reinforcement Learning with Plasticity Injection.

Evgenii Nikishin, Junhyuk Oh, Georg Ostrovski, Clare Lyle, Razvan Pascanu, Will Dabney, André Barreto

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Understanding Plasticity in Neural Networks.

Clare Lyle, Zeyu Zheng, Evgenii Nikishin, Bernardo Ávila Pires, Razvan Pascanu, Will Dabney

Proceedings of the International Conference on Machine Learning, 2023

Sample-Efficient Reinforcement Learning by Breaking the Replay Ratio Barrier.

Pierluca D'Oro, Max Schwarzer, Evgenii Nikishin, Pierre-Luc Bacon, Marc G. Bellemare, Aaron C. Courville

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

The Primacy Bias in Deep Reinforcement Learning.

Evgenii Nikishin, Max Schwarzer, Pierluca D'Oro, Pierre-Luc Bacon, Aaron C. Courville

Proceedings of the International Conference on Machine Learning, 2022

Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation.

Evgenii Nikishin, Romina Abachi, Rishabh Agarwal, Pierre-Luc Bacon

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Quantifying and Understanding Adversarial Examples in Discrete Input Spaces.

Volodymyr Kuleshov, Evgenii Nikishin, Shantanu Thakoor, Tingfung Lau, Stefano Ermon

CoRR, 2021