Adam Ibrahim

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 16

Top Topics

Wavelet Synopses

Augmented Reality

Top Venues

Publications

Paolo Glorioso, Quentin Anthony, Yury Tokpanov, James Whittington, Jonathan Pilault, Adam Ibrahim, Beren Millidge
Zamba: A Compact 7B SSM Hybrid Model. CoRR (2024)
Rylan Schaeffer, Hailey Schoelkopf, Brando Miranda, Gabriel Mukobi, Varun Madan, Adam Ibrahim, Herbie Bradley, Stella Biderman, Sanmi Koyejo
Why Has Predicting Downstream Capabilities of Frontier AI Models with Scale Remained Elusive? CoRR (2024)
Yury Tokpanov, Beren Millidge, Paolo Glorioso, Jonathan Pilault, Adam Ibrahim, James Whittington, Quentin Anthony
Zyda: A 1.3T Dataset for Open Language Modeling. CoRR (2024)
Adam Ibrahim, Benjamin Thérien, Kshitij Gupta, Mats L. Richter, Quentin Gregory Anthony, Eugene Belilovsky, Timothée Lesort, Irina Rish
Simple and Scalable Strategies to Continually Pre-train Large Language Models. Trans. Mach. Learn. Res. 2024 (2024)
Adam Ibrahim, Benjamin Thérien, Kshitij Gupta, Mats L. Richter, Quentin Anthony, Timothée Lesort, Eugene Belilovsky, Irina Rish
Simple and Scalable Strategies to Continually Pre-train Large Language Models. CoRR (2024)
Kshitij Gupta, Benjamin Thérien, Adam Ibrahim, Mats L. Richter, Quentin Anthony, Eugene Belilovsky, Irina Rish, Timothée Lesort
Continual Pre-Training of Large Language Models: How to (re)warm your model? CoRR (2023)
Pouya Bashivan, Adam Ibrahim, Amirozhan Dehghani, Yifei Ren
Learning Robust Kernel Ensembles with Kernel Average Pooling. CoRR (2022)
Charles Guille-Escuret, Adam Ibrahim, Baptiste Goujaud, Ioannis Mitliagkas
Gradient Descent Is Optimal Under Lower Restricted Secant Inequality And Upper Error Bound. NeurIPS (2022)
Adam Ibrahim, Charles Guille-Escuret, Ioannis Mitliagkas, Irina Rish, David Krueger, Pouya Bashivan
Towards Out-of-Distribution Adversarial Robustness. CoRR (2022)
Pouya Bashivan, Reza Bayat, Adam Ibrahim, Kartik Ahuja, Mojtaba Faramarzi, Touraj Laleh, Blake A. Richards, Irina Rish
Adversarial Feature Desensitization. NeurIPS (2021)
Adam Ibrahim, Waïss Azizian, Gauthier Gidel, Ioannis Mitliagkas
Linear Lower Bounds and Conditioning of Differentiable Games. ICML (2020)
Brandon Huynh, Adam Ibrahim, YunSuk Chang, Tobias Höllerer, John O'Donovan
User Perception of Situated Product Recommendations in Augmented Reality. Int. J. Semantic Comput. 13 (3) (2019)
Adam Ibrahim, Waïss Azizian, Gauthier Gidel, Ioannis Mitliagkas
Lower Bounds and Conditioning of Differentiable Games. CoRR (2019)
Brandon Huynh, Adam Ibrahim, YunSuk Chang, Tobias Höllerer, John O'Donovan
A Study of Situated Product Recommendations in Augmented Reality. AIVR (2018)
Adam Ibrahim, Brandon Huynh, Jonathan Downey, Tobias Höllerer, Dorothy Chun, John O'Donovan
ARbis Pictus: A Study of Vocabulary Learning with Augmented Reality. IEEE Trans. Vis. Comput. Graph. 24 (11) (2018)
Adam Ibrahim, Brandon Huynh, Jonathan Downey, Tobias Höllerer, Dorothy Chun, John O'Donovan
ARbis Pictus: A Study of Language Learning with Augmented Reality. CoRR (2017)
Yuan H. Zhao, Michael H. Abraham, Adam Ibrahim, Paul V. Fish, Susan Cole, Mark L. Lewis, Marcel J. de Groot, Derek P. Reynolds
Predicting Penetration Across the Blood-Brain Barrier from Simple Descriptors and Fragmentation Schemes. J. Chem. Inf. Model. 47 (1) (2007)
Michael H. Abraham, Adam Ibrahim
Gas to Olive Oil Partition Coefficients: A Linear Free Energy Analysis. J. Chem. Inf. Model. 46 (4) (2006)