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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...
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01/04/2023
The Predictive Forward-Forward Algorithm
We propose the predictive forward-forward (PFF) algorithm for conducting...
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11/22/2022
Convolutional Neural Generative Coding: Scaling Predictive Coding to Natural Images
In this work, we develop convolutional neural generative coding (Conv-NG...
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10/11/2022
Like a bilingual baby: The advantage of visually grounding a bilingual language model
Unlike most neural language models, humans learn language in a rich, mul...
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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...
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06/03/2022
A Robust Backpropagation-Free Framework for Images
While current deep learning algorithms have been successful for a wide v...
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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...
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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...
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04/19/2021
OmniLayout: Room Layout Reconstruction from Indoor Spherical Panoramas
Given a single RGB panorama, the goal of 3D layout reconstruction is to ...
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04/07/2021
Recognizing and Verifying Mathematical Equations using Multiplicative Differential Neural Units
Automated mathematical reasoning is a challenging problem that requires ...
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06/05/2020
Provably Stable Interpretable Encodings of Context Free Grammars in RNNs with a Differentiable Stack
Given a collection of strings belonging to a context free grammar (CFG) ...
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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...
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11/20/2019
Sibling Neural Estimators: Improving Iterative Image Decoding with Gradient Communication
For lossy image compression, we develop a neural-based system which lear...
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09/07/2019
The Neural State Pushdown Automata
In order to learn complex grammars, recurrent neural networks (RNNs) req...
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05/25/2019
Lifelong Neural Predictive Coding: Sparsity Yields Less Forgetting when Learning Cumulatively
In lifelong learning systems, especially those based on artificial neura...
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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...
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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...
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09/09/2018
A Neural Temporal Model for Human Motion Prediction
We propose novel neural temporal models for short-term motion prediction...
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05/29/2018
Visually Grounded, Situated Learning in Neural Models
The theory of situated cognition postulates that language is inseparable...
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05/26/2018
Biologically Motivated Algorithms for Propagating Local Target Representations
Finding biologically plausible alternatives to back-propagation of error...
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03/15/2018
Learned Iterative Decoding for Lossy Image Compression Systems
For lossy image compression systems, we develop an algorithm called iter...
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03/05/2018
