Tankut Can

11 papers A* 2Journal 8Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Semantic Chunking and the Entropy of Natural Language. CoRR Weishun Zhong, Doron Sivan, Tankut Can, Mikhail Katkov, Misha Tsodyks
2025	A*	`conf`	Flow-field inference from neural data using deep recurrent networks. ICML Timothy Doyeon Kim, Thomas Zhihao Luo, Tankut Can, Kamesh Krishnamurthy, Jonathan W. Pillow, Carlos D. Brody
2025	J	`jnl`	Statistical Mechanics of Semantic Compression. CoRR Tankut Can
2024	J	`jnl`	Random Tree Model of Meaningful Memory. CoRR Weishun Zhong, Tankut Can, Antonis Georgiou, Ilya Shnayderman, Mikhail Katkov, Misha Tsodyks
2023	A*	`conf`	Trainability, Expressivity and Interpretability in Gated Neural ODEs. ICML Timothy Doyeon Kim, Tankut Can, Kamesh Krishnamurthy
2023	J	`jnl`	Trainability, Expressivity and Interpretability in Gated Neural ODEs. CoRR Timothy Doyeon Kim, Tankut Can, Kamesh Krishnamurthy
2023	J	`jnl`	Using large language models to study human memory for meaningful narratives. CoRR Antonios Georgiou, Tankut Can, Mikhail Katkov, Misha Tsodyks
2022	J	`jnl`	Flatter, faster: scaling momentum for optimal speedup of SGD. CoRR Aditya Cowsik, Tankut Can, Paolo Glorioso
2020	—	`conf`	Gating creates slow modes and controls phase-space complexity in GRUs and LSTMs. MSML Tankut Can, Kamesh Krishnamurthy, David J. Schwab
2020	J	`jnl`	Gating creates slow modes and controls phase-space complexity in GRUs and LSTMs. CoRR Tankut Can, Kamesh Krishnamurthy, David J. Schwab
2020	J	`jnl`	Theory of gating in recurrent neural networks. CoRR Kamesh Krishnamurthy, Tankut Can, David J. Schwab