Publications

For list of all up to date publications please visit my Scholar Page

  • A. Ororbia, A. Mali, C. L. Giles, & D. Kifer (2020). Continual Learning of Recurrent Neural Networks by Locally Aligning Distributed Representations. IEEE Transactions on Neural Networks and Learning Systems, 1-12.

  • Ankur Arjun Mali, Alexander G. Ororbia II, & C. Lee Giles (2021). A Neural State Pushdown Automata. IEEE Trans. Artif. Intell., 1(3), 193–205.

  • Alexander Ororbia, Ankur Mali, Daniel Kifer, & C. Lee Giles (2022). Lifelong Neural Predictive Coding: Sparsity Yields Less Forgetting. Advances in neural information processing systems, 35.

  • Sudeep D. Thepade, Krishnasagar Subhedarpage, Ankur Mali*, & Tushar S. Vaidya (2013). Performance Gain of Content Based Video Retrieval Technique using Intermediate Block Truncation Coding on Different Color Spaces. 2013 International Conference on Communication and Signal Processing, 1017-1020.

  • Thepade, S., Subhedarpage, K., Mali*, ., & Vaidya, T. (2013). Performance Augmentation of Video Retrieval using Even-Odd Videos with Multilevel Block Truncation Coding. International Journal of Computer Applications, 64(9).

  • Thepade, S., Mali, ., & Subhedarpage*, K. (2014). Content Based Video Retrieval using Thepade’s Ternary Block Truncation Coding and Thepade’s Sorted Ternary Block Truncation Coding with Various Color Spaces. International Journal of Emerging Technologies in Computational and Applied Sciences, 8(6), 462–466.

  • A. Gopalakrishnan, A. Mali, D. Kifer, L. Giles, & A. G. Ororbia (2019). A Neural Temporal Model for Human Motion Prediction. In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 12108-12117).

  • Ororbia, A., Mali, A., Kelly, M., & Reitter, D. (2019 ). Like a Baby: Visually Situated Neural Language Acquisition. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (pp. 5127–5136).

  • Alexander G. Ororbia II, & Ankur Mali (2019). Biologically Motivated Algorithms for Propagating Local Target Representations. In The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, The Thirty-First Innovative Applications of Artificial Intelligence Conference, IAAI 2019, The Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, Honolulu, Hawaii, USA, January 27 - February 1, 2019 (pp. 4651–4658). AAAI Press.

  • A. G. Ororbia, A. Mali, J. Wu, S. O’Connell, W. Dreese, D. Miller, & C. L. Giles (2019). Learned Neural Iterative Decoding for Lossy Image Compression Systems. In 2019 Data Compression Conference (DCC) (pp. 3-12).

  • Thepade, S., Subhedarpage, K., Mali*, ., & Vaidya, T. (2013). Color Content Based Video Retrieval using Block Truncation Coding with Different Color Spaces. International Journal of Computer Applications, 64(3).

  • Thepade, S., Subhedarpage, K., & Mali, . (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. In Advances in Computing, Communications and Informatics , 2013 International Conference on (pp. 962–966).

  • A. Mali, A. G. Ororbia, & C. L. Giles (2020). The Sibling Neural Estimator: Improving Iterative Image Decoding with Gradient Communication. In 2020 Data Compression Conference (DCC) (pp. 23-32).

  • Ankur Arjun Mali, Alexander G. Ororbia II, Daniel Kifer, & C. Lee Giles (2021). Recognizing and Verifying Mathematical Equations using Multiplicative Differential Neural Units. In Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021 (pp. 5006–5015). AAAI Press.

  • Mali, A., Ororbia, A., Kifer, D., & Giles, L. (2021). Recognizing Long Grammatical Sequences using Recurrent Networks Augmented with an External Differentiable Stack. In Proceedings of the Fifteenth International Conference on Grammatical Inference (pp. 130–153). PMLR.

  • Mali, A., Ororbia, A., Kifer, D., & Giles, L. (2021). Investigating Backpropagation Alternatives when Learning to Dynamically Count with Recurrent Neural Networks. In Proceedings of the Fifteenth International Conference on Grammatical Inference (pp. 154–175). PMLR.

  • Ankur Mali, Alexander Ororbia, Daniel Kifer, & C. L. Giles (2021). An Empirical Analysis of Recurrent Learning Algorithms in Neural Lossy Image Compression Systems. 2021 Data Compression Conference (DCC), 356-356.

  • Rao, S., Kumar, V., Kifer, D., Giles, C., & Mali, A. (2021). OmniLayout: Room Layout Reconstruction From Indoor Spherical Panoramas. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (pp. 3706-3715).

  • Ororbia, A., & Mali, A. (2022). Backprop-free reinforcement learning with active neural generative coding. In Proceedings of the AAAI Conference on Artificial Intelligence (pp. 29–37).

  • Mali, A., Ororbia, A., Kifer, D., & Giles, C. (2022). Neural JPEG: End-to-End Image Compression Leveraging a Standard JPEG Encoder-Decoder. In 2022 Data Compression Conference (DCC) (pp. 471-471).