Multi scale mirror connection based encoder decoder network for text localization. - Kalpita Dutta; Malyaban Bal; Arpita Basak; Swarnendu Ghosh; Nibaran Das; Mahantapas Kundu; Mita Nasipuri (Pattern Recognit. Lett., 2020)

Cyber-Neuro RT: Real-time Neuromorphic Cybersecurity. - Wyler Zahm; Tyler Stern; Malyaban Bal; Abhronil Sengupta; Aswin Jose; Suhas Chelian; Srini Vasan (BICA*AI, 2022)

Sequence Learning Using Equilibrium Propagation. - Malyaban Bal; Abhronil Sengupta (IJCAI, 2023)

Delving Deeper Into Astromorphic Transformers. - Md Zesun Ahmed Mia; Malyaban Bal; Abhronil Sengupta (CoRR, 2023)

SpikingBERT: Distilling BERT to Train Spiking Language Models Using Implicit Differentiation. - Malyaban Bal; Abhronil Sengupta (AAAI, 2024)

Exploring Extreme Quantization in Spiking Language Models. - Malyaban Bal; Yi Jiang; Abhronil Sengupta (ICONS, 2024)

Scaling SNNs Trained Using Equilibrium Propagation to Convolutional Architectures. - Jiaqi Lin; Malyaban Bal; Abhronil Sengupta (ICONS, 2024)

Equilibrium-Based Learning Dynamics in Spiking Architectures. - Malyaban Bal; Abhronil Sengupta (ISCAS, 2024)

Rethinking Spiking Neural Networks as State Space Models. - Malyaban Bal; Abhronil Sengupta (CoRR, 2024)

P-Spikessm: Harnessing Probabilistic Spiking State Space Models for Long-Range Dependency Tasks. - Malyaban Bal; Abhronil Sengupta (ICLR, 2025)

Benchmarking Spiking Neural Network Learning Methods With Varying Locality. - Jiaqi Lin; Sen Lu; Malyaban Bal; Abhronil Sengupta (IEEE Access, 2025)

Neuromorphic Cybersecurity with Semi-supervised Lifelong Learning. - Md Zesun Ahmed Mia; Malyaban Bal; Sen Lu; George M. Nishibuchi; Suhas Chelian; Srini Vasan; Abhronil Sengupta (CoRR, 2025)

Scalable Equilibrium Propagation via Intermediate Error Signals for Deep Convolutional CRNNs. - Jiaqi Lin; Malyaban Bal; Abhronil Sengupta (CoRR, 2025)

Spatio-Temporal Pruning for Compressed Spiking Large Language Models. - Yi Jiang; Malyaban Bal; Brian Matejek; Susmit Jha; Adam D. Cobb; Abhronil Sengupta (CoRR, 2025)