Recursive Neural Network

Recursive neural networks (RvNNs) process data hierarchically, mirroring human cognitive processes like language understanding and visual perception. Current research focuses on improving RvNN architectures, exploring connections with transformer networks, and applying them to diverse tasks such as option pricing, image representation, and grammar induction. These advancements are driving progress in areas like algorithmic learning, improving the efficiency and accuracy of complex data processing, and enabling more sophisticated AI systems capable of handling hierarchical structures.

Papers

September 11, 2024

Learning Efficient Recursive Numeral Systems via Reinforcement Learning
Jonathan D. Thomas, Andrea Silvi, Devdatt Dubhashi, Emil Carlsson, Moa Johansson
Reinforcement Learning Recursive Algorithm Recursive Neural Network Numeral System

September 3, 2024

On the Design Space Between Transformers and Recursive Neural Nets
Jishnu Ray Chowdhury, Cornelia Caragea
Transformer Megatron Decepticons Design Space Recursive Neural Network Transformer Based Structure Structural Inductive Bias

August 26, 2024

MLP, XGBoost, KAN, TDNN, and LSTM-GRU Hybrid RNN with Attention for SPX and NDX European Call Option Pricing
Boris Ter-Avanesov, Homayoon Beigi
Recurrent Neural Network XGBoost Model Multi Layer Perceptron Option Pricing Time Delay Neural Network Recursive Neural Network

June 6, 2024

ReFiNe: Recursive Field Networks for Cross-modal Multi-scene Representation
Sergey Zakharov, Katherine Liu, Adrien Gaidon, Rares Ambrus
Feature Fusion Shape Representation G ReFine Cross Modal Representation Learning Shape Latent Recursive Neural Network

April 9, 2024

A singular Riemannian Geometry Approach to Deep Neural Networks III. Piecewise Differentiable Layers and Random Walks on $n$-dimensional Classes
Alessandro Benfenati, Alessio Marta
Neural Network Deep Neural Network Random Walk Riemannian Geometry Differentiable Neural Riemannian Geometry Approach Recursive Neural Network Differentiable Activation Function

May 31, 2023

Beam Tree Recursive Cells
Jishnu Ray Chowdhury, Cornelia Caragea
Recursive Neural Network Beam Tree

January 31, 2023

Recursive Neural Networks with Bottlenecks Diagnose (Non-)Compositionality
Verna Dankers, Ivan Titov
Natural Language Natural Language Task Recursive Neural Network Bottleneck Analysis Tree LSTMs

January 25, 2023

Recursive deep learning framework for forecasting the decadal world economic outlook
Tianyi Wang, Rodney Beard, John Hawkins, Rohitash Chandra
Recursive Neural Network Decadal Temperature Prediction

November 22, 2022

A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms
Danimir T. Doncevic, Alexander Mitsos, Yue Guo, Qianxiao Li, Felix Dietrich, Manuel Dahmen, Ioannis G. Kevrekidis
Recurrent Neural Network Meta Learning Architecture Design Iterative Algorithm Recursive Neural Network Runge Kutta

July 26, 2022

An Automated News Bias Classifier Using Caenorhabditis Elegans Inspired Recursive Feedback Network Architecture
Agastya Sridharan, Natarajan S
Political Bias Medium Bias Subtle Bias Recursive Neural Network Neural Mesh Caenorhabditis Elegans

June 16, 2022

Recursive Neural Programs: Variational Learning of Image Grammars and Part-Whole Hierarchies
Ares Fisher, Rajesh P. N. Rao
Part Whole Hierarchy Structured Representation Variational Learning Recursive Neural Network Graph Grammar

June 4, 2022

Recursive Deformable Image Registration Network with Mutual Attention
Jian-Qing Zheng, Ziyang Wang, Baoru Huang, Ngee Han Lim, Tonia Vincent, Bartlomiej W. Papiez
Receptive Field Deformable Image Registration Recursive Neural Network Multiple Registration Output

March 1, 2022

Fast-R2D2: A Pretrained Recursive Neural Network based on Pruned CKY for Grammar Induction and Text Representation
Xiang Hu, Haitao Mi, Liang Li, Gerard de Melo
Large Language Model Edge Pruning Text Representation Grammar Induction Recursive Neural Network Tree Encoder Recursive Transformer

January 28, 2022

ReGAE: Graph autoencoder based on recursive neural networks
Adam Małkowski, Jakub Grzechociński, Paweł Wawrzyński
Jina Embeddings Large Graph Graph AutoEncoder Graph Autoencoders Recursive Neural Network

November 23, 2021

ReGroup: Recursive Neural Networks for Hierarchical Grouping of Vector Graphic Primitives
Sumit Chaturvedi, Michal Lukáč, Siddhartha Chaudhuri
Pixel Level Recursive Neural Network Perceptual Grouping Gestalt Theory Grouping Network Graphic Primitive Hierarchical Grouping

Recursive Neural Network

Papers

Learning Efficient Recursive Numeral Systems via Reinforcement Learning

On the Design Space Between Transformers and Recursive Neural Nets

MLP, XGBoost, KAN, TDNN, and LSTM-GRU Hybrid RNN with Attention for SPX and NDX European Call Option Pricing

ReFiNe: Recursive Field Networks for Cross-modal Multi-scene Representation

A singular Riemannian Geometry Approach to Deep Neural Networks III. Piecewise Differentiable Layers and Random Walks on $n$-dimensional Classes

Beam Tree Recursive Cells

Recursive Neural Networks with Bottlenecks Diagnose (Non-)Compositionality

Recursive deep learning framework for forecasting the decadal world economic outlook

A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms

An Automated News Bias Classifier Using Caenorhabditis Elegans Inspired Recursive Feedback Network Architecture

Recursive Neural Programs: Variational Learning of Image Grammars and Part-Whole Hierarchies

Recursive Deformable Image Registration Network with Mutual Attention

Fast-R2D2: A Pretrained Recursive Neural Network based on Pruned CKY for Grammar Induction and Text Representation

ReGAE: Graph autoencoder based on recursive neural networks

ReGroup: Recursive Neural Networks for Hierarchical Grouping of Vector Graphic Primitives