Gating creates slow modes and controls phase-space complexity in GRUs and LSTMs. - Tankut Can; Kamesh Krishnamurthy; David J. Schwab (MSML, 2020)

Theory of gating in recurrent neural networks. - Kamesh Krishnamurthy; Tankut Can; David J. Schwab (CoRR, 2020)

Flatter, faster: scaling momentum for optimal speedup of SGD. - Aditya Cowsik; Tankut Can; Paolo Glorioso (CoRR, 2022)

Trainability, Expressivity and Interpretability in Gated Neural ODEs. - Timothy Doyeon Kim; Tankut Can; Kamesh Krishnamurthy (ICML, 2023)

Using large language models to study human memory for meaningful narratives. - Antonios Georgiou; Tankut Can; Mikhail Katkov; Misha Tsodyks (CoRR, 2023)

Random Tree Model of Meaningful Memory. - Weishun Zhong; Tankut Can; Antonis Georgiou; Ilya Shnayderman; Mikhail Katkov; Misha Tsodyks (CoRR, 2024)

Statistical Mechanics of Semantic Compression. - Tankut Can (CoRR, 2025)