Ankur Arjun Mali
Orcid: 0000-0001-5813-3584
According to our database1,
Ankur Arjun Mali
authored at least 35 papers
between 2018 and 2024.
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Bibliography
2024
Inf. Sci., February, 2024
Neuro-mimetic Task-free Unsupervised Online Learning with Continual Self-Organizing Maps.
CoRR, 2024
2023
On the Computational Complexity and Formal Hierarchy of Second Order Recurrent Neural Networks.
CoRR, 2023
On the Tensor Representation and Algebraic Homomorphism of the Neural State Turing Machine.
CoRR, 2023
Active Predictive Coding: Brain-Inspired Reinforcement Learning for Sparse Reward Robotic Control Problems.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
CoRR, 2022
Active Predicting Coding: Brain-Inspired Reinforcement Learning for Sparse Reward Robotic Control Problems.
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Neural JPEG: End-to-End Image Compression Leveraging a Standard JPEG Encoder-Decoder.
Proceedings of the Data Compression Conference, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Investigating Backpropagation Alternatives when Learning to Dynamically Count with Recurrent Neural Networks.
Proceedings of the 15th International Conference on Grammatical Inference, 2021
Recognizing Long Grammatical Sequences using Recurrent Networks Augmented with an External Differentiable Stack.
Proceedings of the 15th International Conference on Grammatical Inference, 2021
An Empirical Analysis of Recurrent Learning Algorithms in Neural Lossy Image Compression Systems.
Proceedings of the 31st Data Compression Conference, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021
Recognizing and Verifying Mathematical Equations using Multiplicative Differential Neural Units.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Continual Learning of Recurrent Neural Networks by Locally Aligning Distributed Representations.
IEEE Trans. Neural Networks Learn. Syst., 2020
Provably Stable Interpretable Encodings of Context Free Grammars in RNNs with a Differentiable Stack.
CoRR, 2020
Reducing the Computational Burden of Deep Learning with Recursive Local Representation Alignment.
CoRR, 2020
The Sibling Neural Estimator: Improving Iterative Image Decoding with Gradient Communication.
Proceedings of the Data Compression Conference, 2020
2019
Sibling Neural Estimators: Improving Iterative Image Decoding with Gradient Communication.
CoRR, 2019
Lifelong Neural Predictive Coding: Sparsity Yields Less Forgetting when Learning Cumulatively.
CoRR, 2019
Proceedings of the Data Compression Conference, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Online Learning of Recurrent Neural Architectures by Locally Aligning Distributed Representations.
CoRR, 2018