Tankut Can

According to our database, Tankut Can authored at least 5 papers between 2020 and 2023.

Collaborative distances:

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

2023

Using large language models to study human memory for meaningful narratives.

Antonios Georgiou, Tankut Can, Mikhail Katkov, Misha Tsodyks

CoRR, 2023

Trainability, Expressivity and Interpretability in Gated Neural ODEs.

Timothy Doyeon Kim, Tankut Can, Kamesh Krishnamurthy

Proceedings of the International Conference on Machine Learning, 2023

2022

Flatter, faster: scaling momentum for optimal speedup of SGD.

Aditya Cowsik, Tankut Can, Paolo Glorioso

CoRR, 2022

2020

Theory of gating in recurrent neural networks.

Kamesh Krishnamurthy, Tankut Can, David J. Schwab

CoRR, 2020

Gating creates slow modes and controls phase-space complexity in GRUs and LSTMs.

Tankut Can, Kamesh Krishnamurthy, David J. Schwab

Proceedings of Mathematical and Scientific Machine Learning, 2020