Evgenii Nikishin

16 papers A* 7Journal 9

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Forgetting Transformer: Softmax Attention with a Forget Gate. ICLR Zhixuan Lin, Evgenii Nikishin, Xu Owen He, Aaron C. Courville
2025	J	`jnl`	Forgetting Transformer: Softmax Attention with a Forget Gate. CoRR Zhixuan Lin, Evgenii Nikishin, Xu Owen He, Aaron C. Courville
2025	J	`jnl`	Maxwell's Demon at Work: Efficient Pruning by Leveraging Saturation of Neurons. Trans. Mach. Learn. Res. Simon Dufort-Labbé, Pierluca D'Oro, Evgenii Nikishin, Irina Rish, Pierre-Luc Bacon, Razvan Pascanu, Aristide Baratin
2024	J	`jnl`	Maxwell's Demon at Work: Efficient Pruning by Leveraging Saturation of Neurons. CoRR Simon Dufort-Labbé, Pierluca D'Oro, Evgenii Nikishin, Razvan Pascanu, Pierre-Luc Bacon, Aristide Baratin
2024	A*	`conf`	The Curse of Diversity in Ensemble-Based Exploration. ICLR Zhixuan Lin, Pierluca D'Oro, Evgenii Nikishin, Aaron C. Courville
2024	J	`jnl`	The Curse of Diversity in Ensemble-Based Exploration. CoRR Zhixuan Lin, Pierluca D'Oro, Evgenii Nikishin, Aaron C. Courville
2023	A*	`conf`	Deep Reinforcement Learning with Plasticity Injection. NeurIPS Evgenii Nikishin, Junhyuk Oh, Georg Ostrovski, Clare Lyle, Razvan Pascanu, Will Dabney, André Barreto
2023	J	`jnl`	Deep Reinforcement Learning with Plasticity Injection. CoRR Evgenii Nikishin, Junhyuk Oh, Georg Ostrovski, Clare Lyle, Razvan Pascanu, Will Dabney, André Barreto
2023	A*	`conf`	Sample-Efficient Reinforcement Learning by Breaking the Replay Ratio Barrier. ICLR Pierluca D'Oro, Max Schwarzer, Evgenii Nikishin, Pierre-Luc Bacon, Marc G. Bellemare, Aaron C. Courville
2023	A*	`conf`	Understanding Plasticity in Neural Networks. ICML Clare Lyle, Zeyu Zheng, Evgenii Nikishin, Bernardo Ávila Pires, Razvan Pascanu, Will Dabney
2023	J	`jnl`	Understanding plasticity in neural networks. CoRR Clare Lyle, Zeyu Zheng, Evgenii Nikishin, Bernardo Ávila Pires, Razvan Pascanu, Will Dabney
2022	A*	`conf`	Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation. AAAI Evgenii Nikishin, Romina Abachi, Rishabh Agarwal, Pierre-Luc Bacon
2022	A*	`conf`	The Primacy Bias in Deep Reinforcement Learning. ICML Evgenii Nikishin, Max Schwarzer, Pierluca D'Oro, Pierre-Luc Bacon, Aaron C. Courville
2022	J	`jnl`	The Primacy Bias in Deep Reinforcement Learning. CoRR Evgenii Nikishin, Max Schwarzer, Pierluca D'Oro, Pierre-Luc Bacon, Aaron C. Courville
2021	J	`jnl`	Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation. CoRR Evgenii Nikishin, Romina Abachi, Rishabh Agarwal, Pierre-Luc Bacon
2021	J	`jnl`	Quantifying and Understanding Adversarial Examples in Discrete Input Spaces. CoRR Volodymyr Kuleshov, Evgenii Nikishin, Shantanu Thakoor, Tingfung Lau, Stefano Ermon