Minimum Description Length Recurrent Neural Networks

31 October 2021

Papers citing "Minimum Description Length Recurrent Neural Networks"

8 / 8 papers shown

Title
Chaotic Map based Compression Approach to Classification Harikrishnan Nellippallil Balakrishnan Anuja Vats N. Nagaraj Marius Pedersen 61 0 0 17 Feb 2025
Exploring Learnability in Memory-Augmented Recurrent Neural Networks: Precision, Stability, and Empirical Insights Shrabon Das Ankur Mali 22 0 0 04 Oct 2024
Precision, Stability, and Generalization: A Comprehensive Assessment of RNNs learnability capability for Classifying Counter and Dyck Languages Neisarg Dave Daniel Kifer L. Giles A. Mali 32 0 0 04 Oct 2024
Towards Interpretable Physical-Conceptual Catchment-Scale Hydrological Modeling using the Mass-Conserving-Perceptron Yuan-Heng Wang Hoshin V. Gupta AI4CE 35 3 0 25 Jan 2024
Minimum Description Length Hopfield Networks Matan Abudy Nur Lan Emmanuel Chemla Roni Katzir VLM 16 1 0 11 Nov 2023
The Quo Vadis of the Relationship between Language and Large Language Models Evelina Leivada Vittoria Dentella Elliot Murphy 38 3 0 17 Oct 2023
Benchmarking Neural Network Generalization for Grammar Induction Nur Lan Emmanuel Chemla Roni Katzir ELM 10 4 0 16 Aug 2023
How Do Neural Sequence Models Generalize? Local and Global Context Cues for Out-of-Distribution Prediction Anthony Bau Jacob Andreas 25 3 0 04 Nov 2021