Ankur Mali
Orcid: 0000-0001-5813-3584Affiliations:
- University of South Florida, Bellini College of Artificial Intelligence, Cybersecurity and Computing, Tampa, FL, USA
- Pennsylvania State University, University Park, PA, USA (PhD 2022)
According to our database1,
Ankur Mali authored at least 59 papers
between 2013 and 2026.
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Bibliography
2026
A Human-in-the-Loop Framework for Efficient Prompt Selection in Microscopy Vision-Language Models.
CoRR, May, 2026
Curvature-Weighted Capacity Allocation: A Minimum Description Length Framework for Layer-Adaptive Large Language Model Optimization.
CoRR, March, 2026
2025
Integral Signatures of Activation Functions: A 9-Dimensional Taxonomy and Stability Theory for Deep Learning.
CoRR, October, 2025
CoRR, September, 2025
CoRR, August, 2025
Investigating Pedagogical Teacher and Student LLM Agents: Genetic Adaptation Meets Retrieval Augmented Generation Across Learning Style.
CoRR, May, 2025
CoRR, May, 2025
Proceedings of the IEEE International Conference on Smart Computing, 2025
Proceedings of The 19th International Conference on Neurosymbolic Learning and Reasoning (NeSy 2025), 2025
Bridging Neural and Symbolic Computation: A Learnability Study of RNNs on Counter and Dyck Languages.
Proceedings of The 19th International Conference on Neurosymbolic Learning and Reasoning (NeSy 2025), 2025
Investigating Pedagogical Teacher and Student LLM Agents: Genetic Adaptation Meets Retrieval-Augmented Generation Across Learning Styles.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
2024
Inf. Sci., February, 2024
CoRR, 2024
Exploring Learnability in Memory-Augmented Recurrent Neural Networks: Precision, Stability, and Empirical Insights.
CoRR, 2024
Precision, Stability, and Generalization: A Comprehensive Assessment of RNNs learnability capability for Classifying Counter and Dyck Languages.
CoRR, 2024
Unlearning or Concealment? A Critical Analysis and Evaluation Metrics for Unlearning in Diffusion Models.
CoRR, 2024
Neuro-mimetic Task-free Unsupervised Online Learning with Continual Self-Organizing Maps.
CoRR, 2024
Stable and Robust Deep Learning By Hyperbolic Tangent Exponential Linear Unit (TeLU).
CoRR, 2024
Stability Analysis of Various Symbolic Rule Extraction Methods from Recurrent Neural Network.
CoRR, 2024
Proceedings of the First International Workshop on Logical Foundations of Neuro-Symbolic AI (LNSAI 2024) co-located with the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024), 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 45th Annual Meeting of the Cognitive Science Society, 2023
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Like a bilingual baby: The advantage of visually grounding a bilingual language model.
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
2013
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.
Proceedings of the International Conference on Advances in Computing, 2013