Learning Front-end Filter-bank Parameters using Convolutional Neural Networks for Abnormal Heart Sound Detection. - Ahmed Imtiaz Humayun; Shabnam Ghaffarzadegan; Zhe Feng 003; Taufiq Hasan (EMBC, 2018)

An Ensemble of Transfer, Semi-supervised and Supervised Learning Methods for Pathological Heart Sound Classification. - Ahmed Imtiaz Humayun; Md. Tauhiduzzaman Khan; Shabnam Ghaffarzadegan; Zhe Feng 003; Taufiq Hasan (INTERSPEECH, 2018)

Predictive Real-Time Beat Tracking from Music for Embedded Application. - Irfan Al-Hussaini; Ahmed Imtiaz Humayun; Samiul Alam; Shariful Islam Foysal; Abdullah Al Masud; Arafat Mahmud; Rakibul Islam Chowdhury; Nabil Ibtehaz; Sums Uz Zaman; Rakib Hyder; Sayeed Shafayet Chowdhury; Mohammad Ariful Haque (MIPR, 2018)

NumtaDB - Assembled Bengali Handwritten Digits. - Samiul Alam; Tahsin Reasat; Rashed Mohammad Doha; Ahmed Imtiaz Humayun (CoRR, 2018)

AI Learns to Recognize Bengali Handwritten Digits: Bengali.AI Computer Vision Challenge 2018. - Sharif Amit Kamran; Ahmed Imtiaz Humayun; Samiul Alam; Rashed Mohammad Doha; Manash Kumar Mandal; Tahsin Reasat; Fuad Rahman 001 (CoRR, 2018)

End-to-end Sleep Staging with Raw Single Channel EEG using Deep Residual ConvNets. - Ahmed Imtiaz Humayun; Asif Shahriyar Sushmit; Taufiq Hasan; Mohammed Imamul Hassan Bhuiyan (BHI, 2019)

X-Ray Image Compression Using Convolutional Recurrent Neural Networks. - Asif Shahriyar Sushmit; Shakib Uz Zaman; Ahmed Imtiaz Humayun; Taufiq Hasan; Mohammed Imamul Hassan Bhuiyan (BHI, 2019)

Multi-label Classification of Common Bengali Handwritten Graphemes: Dataset and Challenge. - Samiul Alam; Tahsin Reasat; Asif Shahriyar Sushmit; Sadi Mohammad Siddiquee; Fuad Rahman 001; Mahady Hasan; Ahmed Imtiaz Humayun (CoRR, 2020)

Towards Domain Invariant Heart Sound Abnormality Detection Using Learnable Filterbanks. - Ahmed Imtiaz Humayun; Shabnam Ghaffarzadegan; Md. Istiaq Ansari; Zhe Feng 003; Taufiq Hasan (IEEE J. Biomed. Health Informatics, 2020)

Detection of Junctional Ectopic Tachycardia by Central Venous Pressure. - Xin Tan; Yanwan Dai; Ahmed Imtiaz Humayun; Haoze Chen; Genevera I. Allen; Parag N. Jain (AIME, 2021)

Wearing A Mask: Compressed Representations of Variable-Length Sequences Using Recurrent Neural Tangent Kernels. - Sina Alemohammad; Hossein Babaei; Randall Balestriero; Matt Y. Cheung; Ahmed Imtiaz Humayun; Daniel LeJeune; Naiming Liu; Lorenzo Luzi; Jasper Tan; Zichao Wang 001; Richard G. Baraniuk (ICASSP, 2021)

A Large Multi-target Dataset of Common Bengali Handwritten Graphemes. - Samiul Alam; Tahsin Reasat; Asif Shahriyar Sushmit; Sadi Mohammad Siddiquee; Fuad Rahman 001; Mahady Hasan; Ahmed Imtiaz Humayun (ICDAR (4), 2021)

Polarity Sampling: Quality and Diversity Control of Pre-Trained Generative Networks via Singular Values. - Ahmed Imtiaz Humayun; Randall Balestriero; Richard G. Baraniuk (CVPR, 2022)

No More Than 6ft Apart: Robust K-Means via Radius Upper Bounds. - Ahmed Imtiaz Humayun; Randall Balestriero; Anastasios Kyrillidis; Richard G. Baraniuk (ICASSP, 2022)

MaGNET: Uniform Sampling from Deep Generative Network Manifolds Without Retraining. - Ahmed Imtiaz Humayun; Randall Balestriero; Richard G. Baraniuk (ICLR, 2022)

Bengali Common Voice Speech Dataset for Automatic Speech Recognition. - Samiul Alam; Asif Shahriyar Sushmit; Zaowad Abdullah; Shahrin Nakkhatra; Md. Nazmuddoha Ansary; Syed Mobassir Hossen; Sazia Morshed Mehnaz; Tahsin Reasat; Ahmed Imtiaz Humayun (CoRR, 2022)

SplineCam: Exact Visualization and Characterization of Deep Network Geometry and Decision Boundaries. - Ahmed Imtiaz Humayun; Randall Balestriero; Guha Balakrishnan; Richard G. Baraniuk (CVPR, 2023)

BaDLAD: A Large Multi-Domain Bengali Document Layout Analysis Dataset. - Md. Istiak Hossain Shihab; Md. Rakibul Hasan; Mahfuzur Rahman Emon; Syed Mobassir Hossen; Md. Nazmuddoha Ansary; Intesur Ahmed; Fazle Rabbi Rakib; Shahriar Elahi Dhruvo; Souhardya Saha Dip; Akib Hasan Pavel; Marsia Haque Meghla; Md. Rezwanul Haque; et al. (ICDAR (1), 2023)

OOD-Speech: A Large Bengali Speech Recognition Dataset for Out-of-Distribution Benchmarking. - Fazle Rabbi Rakib; Souhardya Saha Dip; Samiul Alam; Nazia Tasnim; Md. Istiak Hossain Shihab; Md. Nazmuddoha Ansary; Syed Mobassir Hossen; Marsia Haque Meghla; Mamunur Mamun; Farig Sadeque; Sayma Sultana Chowdhury; Tahsin Reasat; et al. (CoRR, 2023)

Abugida Normalizer and Parser for Unicode texts. - Md. Nazmuddoha Ansary; Quazi Adibur Rahman Adib; Tahsin Reasat; Sazia Morshed Mehnaz; Asif Shahriyar Sushmit; Ahmed Imtiaz Humayun; Mohammad Mamun Or Rashid; Farig Sadeque (CoRR, 2023)

Training Dynamics of Deep Network Linear Regions. - Ahmed Imtiaz Humayun; Randall Balestriero; Richard G. Baraniuk (CoRR, 2023)

Unicode Normalization and Grapheme Parsing of Indic Languages. - Md. Nazmuddoha Ansary; Quazi Adibur Rahman Adib; Tahsin Reasat; Asif Shahriyar Sushmit; Ahmed Imtiaz Humayun; Sazia Morshed Mehnaz; Kanij Fatema; Mohammad Mamun Or Rashid; Farig Sadeque (LREC/COLING, 2024)

Self-Consuming Generative Models Go MAD. - Sina Alemohammad; Josue Casco-Rodriguez; Lorenzo Luzi; Ahmed Imtiaz Humayun; Hossein Babaei; Daniel LeJeune; Ali Siahkoohi; Richard G. Baraniuk (ICLR, 2024)

Deep Networks Always Grok and Here is Why. - Ahmed Imtiaz Humayun; Randall Balestriero; Richard G. Baraniuk (ICML, 2024)

Learning Transferable Features for Implicit Neural Representations. - Kushal Kardam Vyas; Ahmed Imtiaz Humayun; Aniket Dashpute; Richard G. Baraniuk; Ashok Veeraraghavan; Guha Balakrishnan (NeurIPS, 2024)

ScaLES: Scalable Latent Exploration Score for Pre-Trained Generative Networks. - Omer Ronen; Ahmed Imtiaz Humayun; Randall Balestriero; Richard G. Baraniuk; Bin Yu 001 (CoRR, 2024)

On the Geometry of Deep Learning. - Randall Balestriero; Ahmed Imtiaz Humayun; Richard G. Baraniuk (CoRR, 2024)

Understanding the Local Geometry of Generative Model Manifolds. - Ahmed Imtiaz Humayun; Ibtihel Amara; Candice Schumann; Golnoosh Farnadi; Negar Rostamzadeh; Mohammad Havaei (CoRR, 2024)

Self-Improving Diffusion Models with Synthetic Data. - Sina Alemohammad; Ahmed Imtiaz Humayun; Shruti Agarwal; John P. Collomosse; Richard G. Baraniuk (CoRR, 2024)

What Secrets Do Your Manifolds Hold? Understanding the Local Geometry of Generative Models. - Ahmed Imtiaz Humayun; Ibtihel Amara; Cristina Nader Vasconcelos; Deepak Ramachandran; Candice Schumann; Junfeng He; Katherine A. Heller; Golnoosh Farnadi; Negar Rostamzadeh; Mohammad Havaei (ICLR, 2025)

The Journey Matters: Average Parameter Count over Pre-training Unifies Sparse and Dense Scaling Laws. - Tian Jin; Ahmed Imtiaz Humayun; Utku Evci; Suvinay Subramanian; Amir Yazdanbakhsh; Dan Alistarh; Gintare Karolina Dziugaite (ICLR, 2025)

EraseBench: Understanding The Ripple Effects of Concept Erasure Techniques. - Ibtihel Amara; Ahmed Imtiaz Humayun; Ivana Kajic; Zarana Parekh; Natalie Harris; Sarah Young; Chirag Nagpal; Najoung Kim; Junfeng He; Cristina Nader Vasconcelos; Deepak Ramachandran; Golnoosh Farnadi; et al. (CoRR, 2025)

GrokAlign: Geometric Characterisation and Acceleration of Grokking. - Thomas Walker; Ahmed Imtiaz Humayun; Randall Balestriero; Richard G. Baraniuk (CoRR, 2025)