Alexander Ororbia | DeepAI

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∙ 08/15/2023

Brain-Inspired Computational Intelligence via Predictive Coding

Artificial intelligence (AI) is rapidly becoming one of the key technolo...

0 Tommaso Salvatori, et al. ∙

∙ 05/11/2023

Backpropagation-Free 4D Continuous Ant-Based Neural Topology Search

Continuous Ant-based Topology Search (CANTS) is a previously introduced ...

0 AbdElRahman ElSaid, et al. ∙

∙ 03/30/2023

Learning Spiking Neural Systems with the Event-Driven Forward-Forward Process

We develop a novel credit assignment algorithm for information processin...

0 Alexander Ororbia, et al. ∙

∙ 02/20/2023

Online Evolutionary Neural Architecture Search for Multivariate Non-Stationary Time Series Forecasting

Time series forecasting (TSF) is one of the most important tasks in data...

0 Zimeng Lyu, et al. ∙

∙ 01/04/2023

The Predictive Forward-Forward Algorithm

We propose the predictive forward-forward (PFF) algorithm for conducting...

0 Alexander Ororbia, et al. ∙

∙ 11/22/2022

Convolutional Neural Generative Coding: Scaling Predictive Coding to Natural Images

In this work, we develop convolutional neural generative coding (Conv-NG...

0 Alexander Ororbia, et al. ∙

∙ 11/16/2022

A Neural Active Inference Model of Perceptual-Motor Learning

The active inference framework (AIF) is a promising new computational fr...

0 Zhizhuo Yang, et al. ∙

∙ 09/19/2022

Active Predicting Coding: Brain-Inspired Reinforcement Learning for Sparse Reward Robotic Control Problems

In this article, we propose a backpropagation-free approach to robotic c...

0 Alexander Ororbia, et al. ∙

∙ 03/31/2022

CogNGen: Constructing the Kernel of a Hyperdimensional Predictive Processing Cognitive Architecture

We present a new cognitive architecture that combines two neurobiologica...

0 Alexander Ororbia, et al. ∙

∙ 01/27/2022

Neural JPEG: End-to-End Image Compression Leveraging a Standard JPEG Encoder-Decoder

Recent advances in deep learning have led to superhuman performance acro...

0 Ankur Mali, et al. ∙

∙ 01/27/2022

An Empirical Analysis of Recurrent Learning Algorithms In Neural Lossy Image Compression Systems

Recent advances in deep learning have resulted in image compression algo...

0 Ankur Mali, et al. ∙

∙ 12/09/2021

Reducing Catastrophic Forgetting in Self Organizing Maps with Internally-Induced Generative Replay

A lifelong learning agent is able to continually learn from potentially ...

0 Hitesh Vaidya, et al. ∙

∙ 09/10/2021

FBERT: A Neural Transformer for Identifying Offensive Content

Transformer-based models such as BERT, XLNET, and XLM-R have achieved st...

0 Diptanu Sarkar, et al. ∙

∙ 05/15/2021

Towards a Predictive Processing Implementation of the Common Model of Cognition

In this article, we present a cognitive architecture that is built from ...

0 Alexander Ororbia, et al. ∙

∙ 04/07/2021

Recognizing and Verifying Mathematical Equations using Multiplicative Differential Neural Units

Automated mathematical reasoning is a challenging problem that requires ...

0 Ankur Mali, et al. ∙

∙ 12/07/2020

The Neural Coding Framework for Learning Generative Models

Neural generative models can be used to learn complex probability distri...

0 Alexander Ororbia, et al. ∙

∙ 11/21/2020

Continuous Ant-Based Neural Topology Search

This work introduces a novel, nature-inspired neural architecture search...

0 AbdElRahman ElSaid, et al. ∙

∙ 02/10/2020

Reducing the Computational Burden of Deep Learning with Recursive Local Representation Alignment

Training deep neural networks on large-scale datasets requires significa...

1 Alexander Ororbia, et al. ∙

∙ 09/07/2019

The Neural State Pushdown Automata

In order to learn complex grammars, recurrent neural networks (RNNs) req...

1 Ankur Mali, et al. ∙

∙ 08/23/2019

Spiking Neural Predictive Coding for Continual Learning from Data Streams

For energy-efficient computation in specialized neuromorphic hardware, w...

0 Alexander Ororbia, et al. ∙

∙ 05/25/2019

Lifelong Neural Predictive Coding: Sparsity Yields Less Forgetting when Learning Cumulatively

In lifelong learning systems, especially those based on artificial neura...

7 Alexander Ororbia, et al. ∙

∙ 02/06/2019

Investigating Recurrent Neural Network Memory Structures using Neuro-Evolution

This paper presents a new algorithm, Evolutionary eXploration of Augment...

0 Alexander Ororbia, et al. ∙

∙ 02/06/2019

Investigating RNN Memory using Neuro-Evolution: Investigating Recurrent Neural Network Memory Structures using Neuro-Evolution

This paper presents a new algorithm, Evolutionary eXploration of Augment...

0 Alexander Ororbia, et al. ∙

∙ 10/17/2018

Online Learning of Recurrent Neural Architectures by Locally Aligning Distributed Representations

Temporal models based on recurrent neural networks have proven to be qui...

8 Alexander Ororbia, et al. ∙

∙ 10/17/2018

Continual Learning of Recurrent Neural Networks by Locally Aligning Distributed Representations

Temporal models based on recurrent neural networks have proven to be qui...

0 Alexander Ororbia, et al. ∙

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