Technically speaking, using a markov chain monte carlo simulations, I could probably do a better job of this. Since I'm a computer scientist, this is in my purview lol So I might quickly write one of those and see if that does a better job. Bateman's don't go backwards, iirc
I don't have time for something like a markov chain monte carlo analysis, in my resolution is about 7% (e/fwhm method), so it may not be viable. Also there's a pretty nasty uncertainty budget, but it would be fun for giggles lol Give the professor something to smile about 😂
AlphaChip: 강화학습(RL) 기반의 칩 배치 생성 방법에 대한 연구 (feat. Google) (by 9bow님) https://d.ptln.kr/5291 #google #ai-chip #reinforcement-learning #tpu #circuit-design #trilium #replace #edge-gnn #markov-decision-process #floorplan #alphachip
들어가며 :pytorch:🇰🇷 지난 9월 말 AlphaChip이라고 이름 붙인, 강화학습 기반의 칩 배치 생성 방법에 대한 짧은 추가 논문(Addendum)이 nature에 공개되었습니다. AlphaChip은 지난 2020년 공개된 강화학습(RL) 기반의 칩 설계 및 배치(Chip Design & Placement) 생성 방법에 대한 연구(A graph placement methodology for fast chip design)를 기반으로 하고 있으며, Google의 TPU 설계에 실제로 적용된 것으로 유명합니다. 이번에 추가된 논문(Addendum)에서는 사전학습을 활용한 효율성 증대를 비롯하여 초기 배치와 벤치마크 등에 대한 내용을 다루고 있습니다. 이러한 추가 논문 이해를 위해 먼저 지난 2020년 공개된 논문 내용을 간략히 다루고, 추가된 내용을 살펴보도록 하겠습니다. AlphaChip의 기반 연구: A graph placement methodology for fast...
Oussama Zekri, Ambroise Odonnat, Abdelhakim Benechehab, Linus Bleistein, Nicolas Boull\'e, Ievgen Redko Large Language Models as Markov Chains https://arxiv.org/abs/2410.02724
Importance is Important: Generalized Markov Chain Importance Sampling Methods https://arxiv.org/abs/2304.06251 arXiv:2304.06251v2 Announce Type: replace-cross Abstract: We show that for any multiple-try Metropolis algorithm, one can always accept the proposal and evaluate the importance weight t 📈🤖
This is a great selection by price points. Some real sleepers here. The Dia gets little to no notice, and I can't believe you can get an NOS Imperial for $44! Any Markov is a winner.
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Since its launch in 2007, Platinum's Preppy fountain pen has become one of the most popular entry level fountain pens available today with 10 million pens sold worldwide! It's easy to see why this is ...
i could make a trans girl traumaqueer Markov chain and it would 100% pass the turing test
Debiased Distribution Compression https://arxiv.org/abs/2404.12290 arXiv:2404.12290v1 Announce Type: cross Abstract: Modern compression methods can summarize a target distribution $\mathbb{P}$ more succinctly than i.i.d. sampling but require access to a low-bias input sequence like a Markov chai 📈🤖
Control Variate-based Stochastic Sampling from the Probability Simplex https://arxiv.org/abs/2410.00845 arXiv:2410.00845v1 Announce Type: new Abstract: This paper presents a control variate-based Markov chain Monte Carlo algorithm for efficient sampling from the probability simplex, with a focus 📈🤖
Now, the parameter selection all seems reasonable to me coming from sources I'd have probably gone to were I building this model myself... but, there's not much detail about the actual model specification in the paper itself (just vaguely says "Markov model")...