On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,878 papers · 148 categories

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4 results for “ECN”

Intelligent Active Queue Management Using Explicit Congestion Notificationcs.NI

Intelligent AQM uses ECN to predict and control network congestion.

problem Challenges in finding optimal AQM parameters due to network complexity.

method Machine Learning (Neural Network for prediction, Reinforcement Learning for parameter tuning).

result Enhanced performance of AQM using ECN and existing TCP congestion control.

AQM ECN Machine Learning Congestion Control Artificial Neural Network

2019-08-28abs ↗pdf ↗

Improving Training on Noisy Stuctured Labelscs.LG

ECN framework improves training on noisy structured labels.

problem Structured errors in fine-grained annotations lead to biased models.

method Error-Correcting Networks (ECN) framework.

result ECN improves fine-grained annotation prediction.

Error-Correcting Networks Structured Labels Fine-Grained Annotations ML Training Structured Errors

2020-03-08abs ↗pdf ↗

Analyzing and modelling 1+1d marketscond-mat.stat-mech

We report a statistical analysis of the Island ECN (NASDAQ) order book. We determine the static and dynamic properties of this system, and then analyze them from a physicist's viewpoint using an equivalent particle system obtained by treating orders as massive particles and price as position. We identify the fundamenta…

2001-06-06abs ↗pdf ↗

Using Physics-Informed Super-Resolution Generative Adversarial Networks for Subgrid Modeling in Turbulent Reactive Flowscs.LG

Generative adversarial networks improve subgrid modeling in turbulent reactive flows.

problem Accurately predicting turbulent reactive flows in combustion problems.

method Physics-informed super-resolution GANs trained with unsupervised deep learning.

result Good results in a priori and a posteriori tests with decaying turbulence.

turbulent reactive flows subgrid modeling generative adversarial networks physics-informed unsupervised deep learning

2019-11-26abs ↗pdf ↗