Ankur Arjun Mali

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 47

Top Topics

Image Compression

Distributed Representations

Top Venues

Publications

John Stogin, Ankur Arjun Mali, C. Lee Giles
A provably stable neural network Turing Machine with finite precision and time. Inf. Sci. 658 (2024)
Alexander Ororbia, Ankur Arjun Mali, Adam Kohan, Beren Millidge, Tommaso Salvatori
A Review of Neuroscience-Inspired Machine Learning. CoRR (2024)
Hitesh Vaidya, Travis Desell, Ankur Arjun Mali, Alexander Ororbia
Neuro-mimetic Task-free Unsupervised Online Learning with Continual Self-Organizing Maps. CoRR (2024)
Alexander Ororbia, Ankur Arjun Mali
Convolutional Neural Generative Coding: Scaling Predictive Coding to Natural Images. CogSci (2023)
Ankur Arjun Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles
On the Tensor Representation and Algebraic Homomorphism of the Neural State Turing Machine. CoRR (2023)
Alexander G. Ororbia II, Ankur Arjun Mali, Daniel Kifer, C. Lee Giles
Backpropagation-Free Deep Learning with Recursive Local Representation Alignment. AAAI (2023)
Ankur Arjun Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles
On the Computational Complexity and Formal Hierarchy of Second Order Recurrent Neural Networks. CoRR (2023)
Alexander Ororbia, Ankur Arjun Mali
Active Predictive Coding: Brain-Inspired Reinforcement Learning for Sparse Reward Robotic Control Problems. ICRA (2023)
Alexander Ororbia, Ankur Arjun Mali
The Predictive Forward-Forward Algorithm. CoRR (2023)
Alexander Ororbia, Ankur Arjun Mali
The Predictive Forward-Forward Algorithm. CogSci (2023)
Timothy Zee, Alexander Ororbia, Ankur Arjun Mali, Ifeoma Nwogu
A Robust Backpropagation-Free Framework for Images. Trans. Mach. Learn. Res. 2023 (2023)
Tommaso Salvatori, Ankur Arjun Mali, Christopher L. Buckley, Thomas Lukasiewicz, Rajesh P. N. Rao, Karl J. Friston, Alexander Ororbia
Brain-Inspired Computational Intelligence via Predictive Coding. CoRR (2023)
Ankur Arjun Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles
An Empirical Analysis of Recurrent Learning Algorithms In Neural Lossy Image Compression Systems. CoRR (2022)
Ankur Arjun Mali, Alexander G. Ororbia II, Daniel Kifer, C. Lee Giles
Neural JPEG: End-to-End Image Compression Leveraging a Standard JPEG Encoder-Decoder. DCC (2022)
Alexander Ororbia, Ankur Arjun Mali
Active Predicting Coding: Brain-Inspired Reinforcement Learning for Sparse Reward Robotic Control Problems. CoRR (2022)
Timothy Zee, Alexander G. Ororbia II, Ankur Arjun Mali, Ifeoma Nwogu
A Robust Backpropagation-Free Framework for Images. CoRR (2022)
Alexander Ororbia, Ankur Arjun Mali, C. Lee Giles, Daniel Kifer
Lifelong Neural Predictive Coding: Learning Cumulatively Online without Forgetting. NeurIPS (2022)
Ankur Arjun Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles
Neural JPEG: End-to-End Image Compression Leveraging a Standard JPEG Encoder-Decoder. CoRR (2022)
Alexander G. Ororbia II, Ankur Arjun Mali
Backprop-Free Reinforcement Learning with Active Neural Generative Coding. AAAI (2022)
Alexander Ororbia, Ankur Arjun Mali
Convolutional Neural Generative Coding: Scaling Predictive Coding to Natural Images. CoRR (2022)
Ankur Arjun Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles
Recognizing and Verifying Mathematical Equations using Multiplicative Differential Neural Units. CoRR (2021)
Alexander Ororbia, Ankur Arjun Mali
Backprop-Free Reinforcement Learning with Active Neural Generative Coding. CoRR (2021)
Ankur Arjun Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles
Recognizing Long Grammatical Sequences using Recurrent Networks Augmented with an External Differentiable Stack. ICGI (2021)
Ankur Arjun Mali, Alexander Ororbia, Daniel Kifer, C. Lee Giles
Investigating Backpropagation Alternatives when Learning to Dynamically Count with Recurrent Neural Networks. ICGI (2021)
Shivansh Rao, Vikas Kumar, Daniel Kifer, C. Lee Giles, Ankur Arjun Mali
OmniLayout: Room Layout Reconstruction From Indoor Spherical Panoramas. CVPR Workshops (2021)
Shivansh Rao, Vikas Kumar, Daniel Kifer, C. Lee Giles, Ankur Arjun Mali
OmniLayout: Room Layout Reconstruction from Indoor Spherical Panoramas. CoRR (2021)
Ankur Arjun Mali, Alexander G. Ororbia II, Daniel Kifer, C. Lee Giles
Recognizing and Verifying Mathematical Equations using Multiplicative Differential Neural Units. AAAI (2021)
Ankur Arjun Mali, Alexander G. Ororbia II, Dan Kifer, C. Lee Giles
An Empirical Analysis of Recurrent Learning Algorithms in Neural Lossy Image Compression Systems. DCC (2021)
John Stogin, Ankur Arjun Mali, C. Lee Giles
Provably Stable Interpretable Encodings of Context Free Grammars in RNNs with a Differentiable Stack. CoRR (2020)
Ankur Arjun Mali, Alexander G. Ororbia II, C. Lee Giles
A Neural State Pushdown Automata. IEEE Trans. Artif. Intell. 1 (3) (2020)
Ankur Arjun Mali, Alexander G. Ororbia II, C. Lee Giles
The Sibling Neural Estimator: Improving Iterative Image Decoding with Gradient Communication. DCC (2020)
Alexander Ororbia, Ankur Arjun Mali, Daniel Kifer, C. Lee Giles
Reducing the Computational Burden of Deep Learning with Recursive Local Representation Alignment. CoRR (2020)
Alexander Ororbia, Ankur Arjun Mali, C. Lee Giles, Daniel Kifer
Continual Learning of Recurrent Neural Networks by Locally Aligning Distributed Representations. IEEE Trans. Neural Networks Learn. Syst. 31 (10) (2020)
Ankur Arjun Mali, Alexander Ororbia, Daniel Kifer, Clyde Lee Giles
Recognizing Long Grammatical Sequences Using Recurrent Networks Augmented With An External Differentiable Stack. CoRR (2020)
Ankur Arjun Mali, Alexander G. Ororbia II, Clyde Lee Giles
Sibling Neural Estimators: Improving Iterative Image Decoding with Gradient Communication. CoRR (2019)
Anand Gopalakrishnan, Ankur Arjun Mali, Dan Kifer, C. Lee Giles, Alexander G. Ororbia II
A Neural Temporal Model for Human Motion Prediction. CVPR (2019)
Alexander Ororbia, Ankur Arjun Mali, Daniel Kifer, C. Lee Giles
Lifelong Neural Predictive Coding: Sparsity Yields Less Forgetting when Learning Cumulatively. CoRR (2019)
Alexander G. Ororbia II, Ankur Arjun Mali
Biologically Motivated Algorithms for Propagating Local Target Representations. AAAI (2019)
Alexander G. Ororbia II, Ankur Arjun Mali, Jian Wu, Scott O'Connell, William Dreese, David J. Miller, C. Lee Giles
Learned Neural Iterative Decoding for Lossy Image Compression Systems. DCC (2019)
Alexander Ororbia, Ankur Arjun Mali, Matthew A. Kelly, David Reitter
Like a Baby: Visually Situated Neural Language Acquisition. ACL (1) (2019)
Ankur Arjun Mali, Alexander Ororbia, C. Lee Giles
The Neural State Pushdown Automata. CoRR (2019)
Alexander G. Ororbia II, Ankur Arjun Mali, Daniel Kifer, C. Lee Giles
Conducting Credit Assignment by Aligning Local Representations. CoRR (2018)
Alexander Ororbia, Ankur Arjun Mali, C. Lee Giles, Daniel Kifer
Online Learning of Recurrent Neural Architectures by Locally Aligning Distributed Representations. CoRR (2018)
Alexander G. Ororbia II, Ankur Arjun Mali
Biologically Motivated Algorithms for Propagating Local Target Representations. CoRR (2018)
Alexander G. Ororbia II, Ankur Arjun Mali, Jian Wu, Scott O'Connell, David J. Miller, C. Lee Giles
Learned Iterative Decoding for Lossy Image Compression Systems. CoRR (2018)
Alexander G. Ororbia II, Ankur Arjun Mali, Matthew A. Kelly, David Reitter
Visually Grounded, Situated Learning in Neural Models. CoRR (2018)
Anand Gopalakrishnan, Ankur Arjun Mali, Dan Kifer, C. Lee Giles, Alexander G. Ororbia II
A Neural Temporal Model for Human Motion Prediction. CoRR (2018)