Publications

Research published in top-tier venues

Conferences & Workshops

NeurIPS 2024

A Walsh Hadamard Derived Linear Vector Symbolic Architecture

Mohammad Mahmudul Alam, Alexander Oberle, Edward Raff, Stella Biderman, Tim Oates, James Holt

In 38th Annual Conference on Neural Information Processing Systems (NeurIPS), December 2024, Vancouver, Canada.

In 38th NeurIPS Workshop on NeuroAI: Fusing Neuroscience and AI for Intelligent Solutions Workshop, December 2024, Vancouver, Canada.

A Walsh Hadamard Derived Linear Vector Symbolic Architecture
CVPR 2024

Automated Virtual Product Placement and Assessment in Images using Diffusion Models

Mohammad Mahmudul Alam, Negin Sokhandan, Emmett Goodman

In 6th AI for Content Creation (AI4CC) workshop at CVPR, June 2024, Seattle WA, USA.

Automated Virtual Product Placement and Assessment in Images using Diffusion Models
AISTATS 2024

Holographic Global Convolutional Networks for Long-Range Prediction Tasks in Malware Detection

Mohammad Mahmudul Alam, Edward Raff, Stella Biderman, Tim Oates, James Holt

In 27th International Conference on Artificial Intelligence and Statistics (AISTATS), May 2024, Valencia, Spain.

In 38th Annual AAAI Workshop on Artificial Intelligence for Cyber Security (AICS), February 2024, Vancouver, Canada.

Holographic Global Convolutional Networks for Long-Range Prediction Tasks in Malware Detection
AAAI 2024

Towards Generalization in Subitizing with Neuro-Symbolic Loss using Holographic Reduced Representations

Mohammad Mahmudul Alam, Edward Raff, Tim Oates

In 38th AAAI Workshop on Neuro-Symbolic Learning and Reasoning in the Era of Large Language Models (NuCLeaR), February 2024, Vancouver, Canada.

Towards Generalization in Subitizing with Neuro-Symbolic Loss using Holographic Reduced Representations
NeurIPS 2023

DDxT: Deep Generative Transformer Models for Differential Diagnosis

Mohammad Mahmudul Alam, Edward Raff, Tim Oates, Cynthia Matuszek

In 37th NeurIPS Workshop on Deep Generative Models for Health, December 2023, New Orleans, LA, USA.

DDxT: Deep Generative Transformer Models for Differential Diagnosis
ICML 2023

Recasting Self-Attention with Holographic Reduced Representations

Mohammad Mahmudul Alam, Edward Raff, Stella Biderman, Tim Oates, James Holt

In 40th International Conference on Machine Learning (ICML), July 2023, Honolulu, HI, USA.

Recasting Self-Attention with Holographic Reduced Representations
ICML 2022

Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced Representations

Mohammad Mahmudul Alam, Edward Raff, Tim Oates, James Holt

In 39th International Conference on Machine Learning (ICML), July 2022, Baltimore, MD, USA.

Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced Representations
IEEE

Detection and Tracking of Fingertips for Geometric Transformation of Objects in Virtual Environment

Mohammad Mahmudul Alam, S. M. Mahbubur Rahman

In 16th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA), November 2019, Abu Dhabi, UAE.

Detection and Tracking of Fingertips for Geometric Transformation of Objects in Virtual Environment

Journals

Elsevier

Unified learning approach for egocentric hand gesture recognition and fingertip detection

Mohammad Mahmudul Alam, Mohammad Tariqul Islam, S. M. Mahbubur Rahman

Pattern Recognition, Elsevier Science Publishers, vol. 121, 2022.

Unified learning approach for egocentric hand gesture recognition and fingertip detection
Elsevier

Affine Transformation of Virtual 3D Object Using 2D Localization of Fingertips

Mohammad Mahmudul Alam, S. M. Mahbubur Rahman

Virtual Reality & Intelligent Hardware, Elsevier Science Publishers, vol. 2, no. 6, pp. 534-555, 2020.

Affine Transformation of Virtual 3D Object Using 2D Localization of Fingertips
IET

Machine Learning Approach of Automatic Identification and Counting of Blood Cells

Mohammad Mahmudul Alam, Mohammad Tariqul Islam

Healthcare Technology Letters, IET, vol. 6, no. 4, pp. 103-108, 2019.

Machine Learning Approach of Automatic Identification and Counting of Blood Cells