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[IDSL Seminar'26] Draft-based Approximate Inference for LLMs
[LAFI'26] A Design for Massively Parallel Gibbs Sampling on the GPU via Static and Dynamic(…)
[REFAI Seminar 11/26/24 ] Efficient Programming on Heterogeneous Accelerators
Scaling of Capability and Efficiency at Inference Time in Large Reasoning Models (AI Podcast)
DDPS | Bridging Models and Data: Assimilation, Model Hierarchies, Causal Inference & Digital Twins
[ICFP'26] Inlining as a space optimization: a simple time- and space-invariant implementation of(…)
Computationally & Statistically Efficient Distributed Inference with Theoretical Guarantees
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Last Updated: October 1, 2026
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Incremental Density Computation for Efficient Programmable Inference A Welcome to Causal Probabilistic Programming (Video, Impulse: Momentously Fast, General, and Portable Probabilistic Programming via Compiler Augmentation (Video, PLDI 2026 ... Seminar date : 2026.9.11 # Seminar contents 2026 IDSL Seminar # Paper Title Galim, Kevin, et al. "Draft-based approximate ... A Design for Massively Parallel Gibbs Sampling on the GPU via Static and Dynamic Analysis of Probabilistic Programs (Video, ... Deterministic Concurrency (Video, ICFP 2026) Edward Lee (University of California at Berkeley) Abstract: It is not uncommon, ... Imprecise Probabilistic Programming, Precisely (Functional Pearl) (Video, ICFP 2026) Jack Liell-Cock, and Sam Staton (University ... DDPS Talk Date: October 30, 2025 Speaker: Nan Chen (University of Wisconsin-Madison) Title: Bridging Models and Data: From ... Inlining as a Space Optimization: A Simple Time- and Space-Invariant Implementation of the Weak Lambda-Calculus (Video, ICFP ... Dr. Xiaoming Huo is a professor at the Stewart School of Industrial & Systems Engineering at Georgia Tech. In this recording, he ...
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