Simons Institute for the Theory of Computing

@simonsinstitute

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How to construct random strings
Formal & Physical Sciences Computing & Cybersecurity
EN

How to construct random strings

Rahul Santhanam
44 min
★ ★ ★ ★ ☆ 4/5
Pseudorandom GeneratorsDerandomizationComplexity Theory
Extractors for samplable sources
Formal & Physical Sciences Computing & Cybersecurity
EN

Extractors for samplable sources

Ronen Shaltiel
69 min
★ ★ ★ ★ ☆ 4/5
Randomness ExtractorsDerandomizationComplexity Theory
How Haar Is It to Look Random?
Formal & Physical Sciences Mathematics
EN

How Haar Is It to Look Random?

Makrand Sinha
63 min
★ ★ ★ ★ ☆ 4/5
Haar RandomnessQuantum ComputingPseudorandomness
How abundant are good interpolators?
Formal & Physical Sciences AI — Models & Research
EN

How abundant are good interpolators?

Ahmed El Alaoui
44 min
★ ★ ★ ★ ☆ 4/5
InterpolationGeneralizationLarge Deviations
Functional Stochastic Localization
Formal & Physical Sciences Mathematics
EN

Functional Stochastic Localization

Kevin Tian
42 min
★ ★ ★ ★ ☆ 4/5
Stochastic LocalizationDiffusion ModelsSampling Algorithms
Do we need diffusion in robotics?
Formal & Physical Sciences AI — Models & Research
EN

Do we need diffusion in robotics?

Max Simchowitz
48 min
★ ★ ★ ★ ☆ 4/5
DiffusionRoboticsImitation Learning
Normalizing Flow Maps
Formal & Physical Sciences AI — Models & Research
EN

Normalizing Flow Maps

Joey Bose
49 min
★ ★ ★ ★ ☆ 4/5
Generative ModelingNormalizing FlowsFlow Matching
Finite-particles rates for drifting models
Formal & Physical Sciences AI — Models & Research
EN

Finite-particles rates for drifting models

Krishna Balasubramanian
47 min
★ ★ ★ ★ ☆ 4/5
Drifting ModelsGenerative ModelingWasserstein Gradient Flow