Humayun, Ahmed Imtiaz

18 publications

ICCV 2025 Erasing More than Intended? How Concept Erasure Degrades the Generation of Non-Target Concepts 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, Katherine Heller, Mohammad Havaei, Negar Rostamzadeh

ICML 2025 Mitigating Over-Exploration in Latent Space Optimization Using Les Omer Ronen, Ahmed Imtiaz Humayun, Richard Baraniuk, Randall Balestriero, Bin Yu

ICLRW 2025 Self-Improving Diffusion Models with Synthetic Data Sina Alemohammad, Ahmed Imtiaz Humayun, Shruti Agarwal, John Collomosse, Richard Baraniuk

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 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

ICML 2024 Deep Networks Always Grok and Here Is Why Ahmed Imtiaz Humayun, Randall Balestriero, Richard Baraniuk

ICMLW 2024 Deep Networks Always Grok and Here Is Why Ahmed Imtiaz Humayun, Randall Balestriero, Richard Baraniuk

ICMLW 2024 Grokking and the Geometry of Circuit Formation Ahmed Imtiaz Humayun, Randall Balestriero, Richard Baraniuk

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

ICMLW 2024 On the Local Geometry of Deep Generative Manifolds Ahmed Imtiaz Humayun, Ibtihel Amara, Candice Schumann, Golnoosh Farnadi, Negar Rostamzadeh, Mohammad Havaei

ICMLW 2024 ScaLES: Scalable Latent Exploration Score for Pre-Trained Generative Networks Omer Ronen, Ahmed Imtiaz Humayun, Randall Balestriero, Richard Baraniuk, Bin Yu

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

NeurIPSW 2024 Visualizing Linear RNNs Through Unrolling Josue Casco-Rodriguez, Tyler Burley, Cj Barberan, Ahmed Imtiaz Humayun, Randall Balestriero, Richard Baraniuk

ICMLW 2023 Provable Instance Specific Robustness via Linear Constraints Ahmed Imtiaz Humayun, Josue Casco-Rodriguez, Randall Balestriero, Richard Baraniuk

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

NeurIPSW 2022 Exact Visualization of Deep Neural Network Geometry and Decision Boundary Ahmed Imtiaz Humayun, Randall Balestriero, Richard Baraniuk

ICLR 2022 MaGNET: Uniform Sampling from Deep Generative Network Manifolds Without Retraining Ahmed Imtiaz Humayun, Randall Balestriero, Richard Baraniuk

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