Fast hierarchical solvers for sparse matrices. - Hadi Pouransari; Pieter Coulier; Eric Darve (CoRR, 2015)

Optimizing the Adaptive Fast Multipole Method for Fractal Sets. - Hadi Pouransari; Eric Darve (SIAM J. Sci. Comput., 2015)

The Inverse Fast Multipole Method: Using a Fast Approximate Direct Solver as a Preconditioner for Dense Linear Systems. - Pieter Coulier; Hadi Pouransari; Eric Darve (SIAM J. Sci. Comput., 2017)

Fast Hierarchical Solvers For Sparse Matrices Using Extended Sparsification and Low-Rank Approximation. - Hadi Pouransari; Pieter Coulier; Eric Darve (SIAM J. Sci. Comput., 2017)

Democratizing Production-Scale Distributed Deep Learning. - Minghuang Ma; Hadi Pouransari; Daniel Chao; Saurabh Adya; Santiago Akle Serrano; Yi Qin; Dan Gimnicher; Dominic Walsh (CoRR, 2018)

A distributed-memory hierarchical solver for general sparse linear systems. - Chao Chen 008; Hadi Pouransari; Sivasankaran Rajamanickam; Erik G. Boman; Eric Darve (Parallel Comput., 2018)

Least squares binary quantization of neural networks. - Hadi Pouransari; Zhucheng Tu; Oncel Tuzel (CVPR Workshops, 2020)

Least squares binary quantization of neural networks. - Hadi Pouransari; Oncel Tuzel (CoRR, 2020)

Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution. - Hadi Pouransari; Oncel Tuzel (CoRR, 2020)

Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution. - Hadi Pouransari; Mojan Javaheripi; Vinay Sharma; Oncel Tuzel (CVPR Workshops, 2021)

Forward Compatible Training for Representation Learning. - Vivek Ramanujan; Pavan Kumar Anasosalu Vasu; Ali Farhadi; Oncel Tuzel; Hadi Pouransari (CoRR, 2021)

Forward Compatible Training for Large-Scale Embedding Retrieval Systems. - Vivek Ramanujan; Pavan Kumar Anasosalu Vasu; Ali Farhadi; Oncel Tuzel; Hadi Pouransari (CVPR, 2022)

APE: Aligning Pretrained Encoders to Quickly Learn Aligned Multimodal Representations. - Elan Rosenfeld; Preetum Nakkiran; Hadi Pouransari; Oncel Tuzel; Fartash Faghri (CoRR, 2022)

Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement. - Fartash Faghri; Hadi Pouransari; Sachin Mehta; Mehrdad Farajtabar; Ali Farhadi; Mohammad Rastegari; Oncel Tuzel (ICCV, 2023)

FastFill: Efficient Compatible Model Update. - Florian Jaeckle; Fartash Faghri; Ali Farhadi; Oncel Tuzel; Hadi Pouransari (ICLR, 2023)

Frequency-Aware Masked Autoencoders for Multimodal Pretraining on Biosignals. - Ran Liu; Ellen L. Zippi; Hadi Pouransari; Christopher M. Sandino; Jingping Nie; Hanlin Goh; Erdrin Azemi; Ali Moin (CoRR, 2023)

Label-efficient Training of Small Task-specific Models by Leveraging Vision Foundation Models. - Raviteja Vemulapalli; Hadi Pouransari; Fartash Faghri; Sachin Mehta; Mehrdad Farajtabar; Mohammad Rastegari; Oncel Tuzel (CoRR, 2023)

MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training. - Pavan Kumar Anasosalu Vasu; Hadi Pouransari; Fartash Faghri; Raviteja Vemulapalli; Oncel Tuzel (CVPR, 2024)

SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding. - Haoxiang Wang 003; Pavan Kumar Anasosalu Vasu; Fartash Faghri; Raviteja Vemulapalli; Mehrdad Farajtabar; Sachin Mehta; Mohammad Rastegari; Oncel Tuzel; Hadi Pouransari (CVPR Workshops, 2024)

MUSCLE: A Model Update Strategy for Compatible LLM Evolution. - Jessica Maria Echterhoff; Fartash Faghri; Raviteja Vemulapalli; Ting-Yao Hu; Chun-Liang Li; Oncel Tuzel; Hadi Pouransari (EMNLP (Findings), 2024)

TiC-CLIP: Continual Training of CLIP Models. - Saurabh Garg; Mehrdad Farajtabar; Hadi Pouransari; Raviteja Vemulapalli; Sachin Mehta; Oncel Tuzel; Vaishaal Shankar; Fartash Faghri (ICLR, 2024)

Knowledge Transfer from Vision Foundation Models for Efficient Training of Small Task-specific Models. - Raviteja Vemulapalli; Hadi Pouransari; Fartash Faghri; Sachin Mehta; Mehrdad Farajtabar; Mohammad Rastegari; Oncel Tuzel (ICML, 2024)

DataComp-LM: In search of the next generation of training sets for language models. - Jeffrey Li; Alex Fang; Georgios Smyrnis; Maor Ivgi; Matt Jordan; Samir Yitzhak Gadre; Hritik Bansal; Etash Kumar Guha; Sedrick Scott Keh; Kushal Arora; Saurabh Garg; Rui Xin; et al. (NeurIPS, 2024)

Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum. - Hadi Pouransari; Chun-Liang Li; Jen-Hao Rick Chang; Pavan Kumar Anasosalu Vasu; Cem Koc; Vaishaal Shankar; Oncel Tuzel (NeurIPS, 2024)

CLIP with Quality Captions: A Strong Pretraining for Vision Tasks. - Pavan Kumar Anasosalu Vasu; Hadi Pouransari; Fartash Faghri; Oncel Tuzel (CoRR, 2024)

Generalizable autoregressive modeling of time series through functional narratives. - Ran Liu; Wenrui Ma; Ellen L. Zippi; Hadi Pouransari; Jingyun Xiao; Christopher M. Sandino; Behrooz Mahasseni; Juri Minxha; Erdrin Azemi; Eva L. Dyer; Ali Moin (CoRR, 2024)

Promoting cross-modal representations to improve multimodal foundation models for physiological signals. - Ching Fang; Christopher M. Sandino; Behrooz Mahasseni; Juri Minxha; Hadi Pouransari; Erdrin Azemi; Ali Moin; Ellen L. Zippi (CoRR, 2024)

CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement. - Mohammadreza Salehi; Mehrdad Farajtabar; Maxwell Horton; Fartash Faghri; Hadi Pouransari; Raviteja Vemulapalli; Oncel Tuzel; Ali Farhadi; Mohammad Rastegari; Sachin Mehta (Trans. Mach. Learn. Res., 2024)

TiC-LM: A Web-Scale Benchmark for Time-Continual LLM Pretraining. - Jeffrey Li; Mohammadreza Armandpour; Iman Mirzadeh; Sachin Mehta; Vaishaal Shankar; Raviteja Vemulapalli; Samy Bengio; Oncel Tuzel; Mehrdad Farajtabar; Hadi Pouransari; Fartash Faghri (ACL (1), 2025)

FastVLM: Efficient Vision Encoding for Vision Language Models. - Pavan Kumar Anasosalu Vasu; Fartash Faghri; Chun-Liang Li; Cem Koc; Nate True; Albert Antony; Gokula Santhanam; James Gabriel; Peter Grasch; Oncel Tuzel; Hadi Pouransari (CVPR, 2025)

Mutual Reinforcement of LLM Dialogue Synthesis and Summarization Capabilities for Few-Shot Dialogue Summarization. - Yen-Ju Lu; Ting-Yao Hu; Hema Swetha Koppula; Hadi Pouransari; Jen-Hao Rick Chang; Yin Xia; Xiang Kong; Qi Zhu 011; Simon Wang; Oncel Tuzel; Raviteja Vemulapalli (NAACL (Findings), 2025)

MobileCLIP2: Improving Multi-Modal Reinforced Training. - Fartash Faghri; Pavan Kumar Anasosalu Vasu; Cem Koc; Vaishaal Shankar; Alexander T. Toshev; Oncel Tuzel; Hadi Pouransari (Trans. Mach. Learn. Res., 2025)

Datasets, Documents, and Repetitions: The Practicalities of Unequal Data Quality. - Alex Fang; Hadi Pouransari; Matt Jordan; Alexander Toshev; Vaishaal Shankar; Ludwig Schmidt; Tom Gunter (CoRR, 2025)

FocalLens: Instruction Tuning Enables Zero-Shot Conditional Image Representations. - Cheng-Yu Hsieh; Pavan Kumar Anasosalu Vasu; Fartash Faghri; Raviteja Vemulapalli; Chun-Liang Li; Ranjay Krishna; Oncel Tuzel; Hadi Pouransari (CoRR, 2025)

Proxy-FDA: Proxy-based Feature Distribution Alignment for Fine-tuning Vision Foundation Models without Forgetting. - Chen Huang 001; Skyler Seto; Hadi Pouransari; Mehrdad Farajtabar; Raviteja Vemulapalli; Fartash Faghri; Oncel Tuzel; Barry-John Theobald; Joshua M. Susskind (CoRR, 2025)