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.
Counterexample shows ADC contact structures can't have isomorphic cohomologies.
Post-ADC inference corrects bias in statistical inference after active data collection.
In this paper, we address the problem of synthesizing multi-parameter magnetic resonance imaging (mp-MRI) data, i.e. Apparent Diffusion Coefficients (ADC) and T2-weighted (T2w), containing clinically significant (CS) prostate cancer (PCa) via semi-supervised adversarial learning. Specifically, our synthesizer generates…
Nowadays, users open multiple accounts on social media platforms and e-commerce sites, expressing their personal preferences on different domains. However, users' behaviors change across domains, depending on the content that users interact with, such as movies, music, clothing and retail products. In this paper, we pr…
This paper develops a new deep neural network optimized equalization framework for massive multiple input multiple output orthogonal frequency division multiplexing (MIMOOFDM) systems that employ low-resolution analog-to-digital converters (ADCs) at the base station (BS). The use of lowresolution ADCs could largely red…
Bit-slice sparsity improves ReRAM-based DNN acceleration.
New algorithm trains binary-activation, multi-level RNNs for noise-resilient, ADC-/DAC-free PIM inference.
Paper proposes ADC framework to reduce ViT SL training communication overhead.
The paper solves a geometric problem involving points in a triangle's plane.
In this paper, we firstly introduce a method to efficiently implement large-scale high-dimensional convolution with realistic memristor-based circuit components. An experiment verified simulator is adapted for accurate prediction of analog crossbar behavior. An improved conversion algorithm is developed to convert conv…
Paper speeds up IoT device detection and data decoding.
New loss function improves accuracy of MRI parameter estimation.
Quantizers play a critical role in digital signal processing systems. Recent works have shown that the performance of quantization systems acquiring multiple analog signals using scalar analog-to-digital converters (ADCs) can be significantly improved by properly processing the analog signals prior to quantization. How…
The paper studies the face angles of tetrahedra with a fixed base.
Model-based compression is an effective, facilitating, and expanded model of neural network models with limited computing and low power. However, conventional models of compression techniques utilize crafted features [2,3,12] and explore specialized areas for exploration and design of large spaces in terms of size, spe…
This paper introduces GLT for better input data representation in BNN and proposes a compact topology with block pruning.
Paper closes the gap in MP-MAB problems with novel adaptive communication and exploration.
New framework distinguishes lung cancer subtypes using MALDI mass spectrometry.
Paper proposes a training framework for deploying DNNs on analog NVM crossbars, achieving significant efficiency gains.