Mohammad Mahmudul Alam is a Ph.D. candidate in Computer Science at the University of Maryland, Baltimore County (UMBC). His ongoing research involves neuro-symbolic representations and their applications to deep learning. He is currently working as Graduate Research Assistant (GRA) in the Cognition, Robotics, and Learning (CORAL) lab at UMBC where he is advised by Professor Dr. Tim Oates and Dr. Edward Raff. He has completed his B.Sc. in Electrical and Electronic Engineering (EEE) from the Bangladesh University of Engineering and Technology (BUET).
Hrrformer⚡paper has been accepted in 40th ICML
A python library developed for neuro-symbolic computations such as binding and unbinding of vector symbolic architecture known as Holographic Reduced Representations supports PyTorch, TensorFlow, Jax, and Flax.
Paper accepted titled "Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced Representations" in 39th International Conference on Machine Learning (ICML), July 2022, Baltimore, MD, USA.
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