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DLF  ·  AI & ML

🔬  Deep Learning Foundations Lab

Theoretical and empirical research on deep neural architectures — transformers, diffusion models, sparse networks, and the mathematics of generalization in high dimensions.

Breakthrough · 1,000-Qubit Coherence AchievedCareers · 12 Postdoc Positions OpenAward · Best Paper IEEE S&P 2025Partnership · CERN CollaborationEvent · AI Safety Summit June 2025Grant · $18M NSF Award Green ComputingPublication · Nature Photonics All-Optical NNBreakthrough · 1,000-Qubit Coherence AchievedCareers · 12 Postdoc Positions OpenAward · Best Paper IEEE S&P 2025Partnership · CERN CollaborationEvent · AI Safety Summit June 2025Grant · $18M NSF Award Green ComputingPublication · Nature Photonics All-Optical NN

Mission & Focus

About the Laboratory

Theoretical and empirical research on deep neural architectures — transformers, diffusion models, sparse networks, and the mathematics of generalization in high dimensions.

Active Projects

Current Research

Neural Scaling Laws
Active · 2025
Mechanistic Interpretability
Active · 2025
Sparse Mixture-of-Experts
Active · 2025
In-Context Learning Theory
Active · 2025

Research Team

Lab Members

Y
Dr. Dominick Rizk
Lab Director
RA
Mr. Sandeep Shiraskar
Research Assistant

Recent Publications

Selected Papers

Neural Scaling Laws: A Comprehensive Study
Rizk, D. et al. · Top Venue 2025  ★ Best Paper
Mechanistic Interpretability: Theory & Empirical Evaluation
Research Team · Flagship Journal 2025
Foundations of DLF: Survey and New Directions
Lab Members · Survey Paper 2024
Sparse Mixture-of-Experts: Experimental Results
Collaborative Work · Conference 2024
All Publications →
Lab Information
AbbreviationDLF
DirectorDr. Dominick Rizk
InstituteAI & ML
Founded2012
Members14
Research Output
Publications87
Citations4,200+
Patents12
Active Grants5
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