A. Mali

发表

Lifelong Neural Predictive Coding: Learning Cumulatively Online without Forgetting

C. L. Giles, Daniel Kifer, Alexander Ororbia, 2019, NeurIPS.

Provably Stable Interpretable Encodings of Context Free Grammars in RNNs with a Differentiable Stack

C. L. Giles, J. Stogin, A. Mali, 2020, ArXiv.

A provably stable neural network Turing Machine

C. L. Giles, J. Stogin, A. Mali, 2020, 2006.03651.

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

Alexander Ororbia, A. Mali, 2022, ArXiv.

A Robust Backpropagation-Free Framework for Images

Alexander Ororbia, Ifeoma Nwogu, A. Mali, 2022, ArXiv.

Convolutional Neural Generative Coding: Scaling Predictive Coding to Natural Images

Alexander Ororbia, A. Mali, 2022, ArXiv.

The Predictive Forward-Forward Algorithm

Alexander Ororbia, A. Mali, 2023, ArXiv.

Continual Learning of Recurrent Neural Networks by Locally Aligning Distributed Representations

Daniel Kifer, C. Lee Giles, Alexander Ororbia, 2018, IEEE Transactions on Neural Networks and Learning Systems.

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

Daniel Kifer, C. Lee Giles, Alexander Ororbia, 2019, ArXiv.

Biologically Motivated Algorithms for Propagating Local Target Representations pdf

Alexander Ororbia, Ankur Mali, Alexander Ororbia, 2018, AAAI.

Online Learning of Recurrent Neural Architectures by Locally Aligning Distributed Representations pdf

Daniel Kifer, C. Lee Giles, Alexander Ororbia, 2018, ArXiv.

Conducting Credit Assignment by Aligning Local Representations pdf

Daniel Kifer, C. Lee Giles, Alexander Ororbia, 2018, 1803.01834.

Investigating Backpropagation Alternatives when Learning to Dynamically Count with Recurrent Neural Networks

C. L. Giles, Daniel Kifer, Jane Chandlee, 2021, ICGI.

The Neural State Pushdown Automata pdf

C. Lee Giles, Alexander Ororbia, Ankur Mali, 2019, ArXiv.

Recognizing Long Grammatical Sequences Using Recurrent Networks Augmented With An External Differentiable Stack pdf

Daniel Kifer, C. L. Giles, C. Lee Giles, 2020, ICGI.

Backprop-Free Reinforcement Learning with Active Neural Generative Coding pdf

Alexander Ororbia, Ankur Mali, Alexander Ororbia, 2021, AAAI.

A Neural Temporal Model for Human Motion Prediction

C. Lee Giles, Alexander Ororbia, Ankur Mali, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Like a Baby: Visually Situated Neural Language Acquisition

David Reitter, Alexander G. Ororbia, Ankur Mali, 2018, ACL.

Visually Grounded, Situated Learning in Neural Models pdf

David Reitter, Alexander Ororbia, Ankur Mali, 2018, ArXiv.

OmniLayout: Room Layout Reconstruction from Indoor Spherical Panoramas

Daniel Kifer, C. Lee Giles, Ankur Mali, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

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

C. Lee Giles, Daniel Kifer, Alexander Ororbia, 2022, 2022 Data Compression Conference (DCC).

Recognizing and Verifying Mathematical Equations using Multiplicative Differential Neural Units pdf

Daniel Kifer, C. L. Giles, Alexander Ororbia, 2021, AAAI.

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

Daniel Kifer, C. L. Giles, Alexander Ororbia, 2020, ArXiv.

Large-Scale Gradient-Free Deep Learning with Recursive Local Representation Alignment.

Daniel Kifer, C. L. Giles, Alexander Ororbia, 2020 .

Performance rise in Content Based Video retrieval using multi-level Thepade's sorted ternary Block Truncation Coding with intermediate block videos and even-odd videos

Sudeep D. Thepade, Ankur A. Mali, Krishnasagar. S. Subhedarpage, 2013, 2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

Learned Neural Iterative Decoding for Lossy Image Compression Systems

Jian Wu, C. Lee Giles, David J. Miller, 2018, 2019 Data Compression Conference (DCC).

Learned Iterative Decoding for Lossy Image Compression Systems pdf

Jian Wu, C. Lee Giles, David J. Miller, 2018, ArXiv.

Using a physics-informed neural network and fault zone acoustic monitoring to predict lab earthquakes

Daniel Kifer, C. Marone, J. Rivière, 2023, Nature communications.

The Predictive Forward-Forward Algorithm

Alexander Ororbia, A. Mali, 2023, CogSci.

Like a bilingual baby: The advantage of visually grounding a bilingual language model

M. Kelly, A. Mali, Zixin Tang, 2022, ArXiv.

Convolutional Neural Generative Coding: Scaling Predictive Coding to Natural Images

Alexander Ororbia, A. Mali, 2022, ArXiv.

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

C. L. Giles, Alexander Ororbia, Ankur Mali, 2021, 2021 Data Compression Conference (DCC).

Brain-Inspired Computational Intelligence via Predictive Coding

Rajesh P. N. Rao, Thomas Lukasiewicz, C. Buckley, 2023, ArXiv.

Backpropagation-Free Deep Learning with Recursive Local Representation Alignment

C. L. Giles, Daniel Kifer, Alexander Ororbia, 2023, AAAI.

Color Content based Video Retrieval using Block Truncation Coding with Different Color Spaces

Sudeep D. Thepade, Krishnasagar S. Subhedarpage, Ankur A. Mali, 2013 .

Continual Learning of Recurrent Neural Networks by Locally Aligning Distributed Representations

C. Lee Giles, Daniel Kifer, Alexander Ororbia, 2018, IEEE Transactions on Neural Networks and Learning Systems.

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

Alexander Ororbia, A. Mali, 2023, 2023 IEEE International Conference on Robotics and Automation (ICRA).

On the Computational Complexity and Formal Hierarchy of Second Order Recurrent Neural Networks

Daniel Kifer, Alexander Ororbia, A. Mali, 2023, ArXiv.

On the Tensor Representation and Algebraic Homomorphism of the Neural State Turing Machine

Daniel Kifer, Alexander Ororbia, A. Mali, 2023, ArXiv.

A provably stable neural network Turing Machine with finite precision and time

J. Stogin, A. Mali, C. L. Giles, 2023, Inf. Sci..

A Review of Neuroscience-Inspired Machine Learning

Beren Millidge, Tommaso Salvatori, A. Mali, 2024, arXiv.org.

Neuro-mimetic Task-free Unsupervised Online Learning with Continual Self-Organizing Maps

Travis J. Desell, Alexander Ororbia, Hitesh U. Vaidya, 2024, 2402.12465.

A Neural State Pushdown Automata

A. Mali, C. Giles, Alexander G. Ororbia II, 2020, IEEE Transactions on Artificial Intelligence.