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Found 6 papers, 1 papers with code
Leveraging Alignment and Phonology for low-resource Indic to English Neural Machine Transliteration
In this paper we present a novel transliteration technique based on Orthographic Syllable(OS) segmentation for low-resource Indian languages (ILs).
NeuraLunaDTNet: Feedforward Neural Network-Based Routing Protocol for Delay-Tolerant Lunar Communication Networks
Space Communication poses challenges such as severe delays, hard-to-predict routes and communication disruptions.
APACE: AlphaFold2 and advanced computing as a service for accelerated discovery in biophysics
The prediction of protein 3D structure from amino acid sequence is a computational grand challenge in biophysics, and plays a key role in robust protein structure prediction algorithms, from drug discovery to genome interpretation.
Impossibility of Depth Reduction in Explainable Clustering
Formally, we show that there exists a data set X in the Euclidean plane, for which there is a decision tree of depth k-1 whose k-means/k-median cost matches the optimal clustering cost of X, but every decision tree of depth less than k-1 has unbounded cost w. r. t.
LT-GAN: Self-Supervised GAN with Latent Transformation Detection
We propose a self-supervised approach (LT-GAN) to improve the generation quality and diversity of images by estimating the GAN-induced transformation (i. e. transformation induced in the generated images by perturbing the latent space of generator).
Ranked #4 on
Image Generation
on CelebA-HQ 128x128
Prediction of Cancer Microarray and DNA Methylation Data using Non-negative Matrix Factorization
This study is a bid to suggesting different algorithms and approaches for the reduction of dimensionality of such microarray datasets.
