Neural Network Model

Neural network models are computational systems inspired by the structure and function of the brain, aiming to solve complex problems through learning from data. Current research focuses on improving model interpretability (e.g., through decompilation and analysis of network weights), enhancing efficiency (e.g., via pruning and coded inference), and addressing challenges in data scarcity and security (e.g., through generative models and encrypted training). These advancements are driving progress in diverse fields, from astrophysics and materials science to finance and healthcare, by enabling more accurate predictions, efficient computations, and improved decision-making.

Papers

February 15, 2022

Memory via Temporal Delays in weightless Spiking Neural Network
Hananel Hazan, Simon Caby, Christopher Earl, Hava Siegelmann, Michael Levin
Neural Network Memory Trace Neural Network Model Single Neuron Level Spike Timing Dependent Plasticity Time Delay

February 9, 2022

A Neural Network Model of Continual Learning with Cognitive Control
Jacob Russin, Maryam Zolfaghar, Seongmin A. Park, Erie Boorman, Randall C. O'Reilly
LeArning Abstract Continual LEArning Catastrophic Forgetting Neural Network Model Cognitive Control

January 10, 2022

Predictions of Reynolds and Nusselt numbers in turbulent convection using machine-learning models
Shashwat Bhattacharya, Mahendra K Verma, Arnab Bhattacharya
Machine Learning Model Human Prediction Neural Network Model Linear Convection Numerical Result Reynolds Number

December 25, 2021

A Preliminary Study for Literary Rhyme Generation based on Neuronal Representation, Semantics and Shallow Parsing
Luis-Gil Moreno-Jiménez, Juan-Manuel Torres-Moreno, Roseli S. Wedemann
Neural Network Model Preliminary Study Semantics Surfaced Poetry Domain Computational Creativity Selective Knowledge Assimilation Shallow Parser

December 14, 2021

Multi-treatment Effect Estimation from Biomedical Data
Raquel Aoki, Yizhou Chen, Martin Ester
Neural Network Model Treatment Effect Multiple Outcome

December 9, 2021

Online Adaptation of Neural Network Models by Modified Extended Kalman Filter for Customizable and Transferable Driving Behavior Prediction
Letian Wang, Yeping Hu, Changliu Liu
Neural Network Model Extended Kalman Filter Online Adaptation Behavior Prediction Adaptive Kalman

December 2, 2021

November 30, 2021

Pixelated Butterfly: Simple and Efficient Sparse training for Neural Network Models
Tri Dao, Beidi Chen, Kaizhao Liang, Jiaming Yang, Zhao Song, Atri Rudra, Christopher Ré
Neural Network Model Sparse Model Sparse Training Sparse Matrix Sparse Mask Monarch Butterfly Butterfly Matrix

November 19, 2021

Lexicon-based Methods vs. BERT for Text Sentiment Analysis
Anastasia Kotelnikova, Danil Paschenko, Klavdiya Bochenina, Evgeny Kotelnikov
Sentiment Analysis Ticket BERT Neural Network Model Lexicon Based Sentiment Lexicon

November 3, 2021

Spatiotemporal Weather Data Predictions with Shortcut Recurrent-Convolutional Networks: A Solution for the Weather4cast challenge
Jussi Leinonen
Solution Path Direct Convolution Neural Network Model Spatio Temporal Forecasting Shortcut Feature Convolutional Recurrent Meteorological Satellite Recurrent Unit Weather4cast Challenge

Neural Network Model

Papers

Memory via Temporal Delays in weightless Spiking Neural Network

A Neural Network Model of Continual Learning with Cognitive Control

Predictions of Reynolds and Nusselt numbers in turbulent convection using machine-learning models

A Preliminary Study for Literary Rhyme Generation based on Neuronal Representation, Semantics and Shallow Parsing

Multi-treatment Effect Estimation from Biomedical Data

Online Adaptation of Neural Network Models by Modified Extended Kalman Filter for Customizable and Transferable Driving Behavior Prediction

Computing Class Hierarchies from Classifiers

Forex Trading Volatility Prediction using Neural Network Models

Pixelated Butterfly: Simple and Efficient Sparse training for Neural Network Models

Lexicon-based Methods vs. BERT for Text Sentiment Analysis

Spatiotemporal Weather Data Predictions with Shortcut Recurrent-Convolutional Networks: A Solution for the Weather4cast challenge