A semantics-driven optimization of URBS curves via score distillation sampling produces single continuous line drawings from text prompts or images.
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Backpropagation applied to handwritten zip code recognition
14 Pith papers cite this work. Polarity classification is still indexing.
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DELOS applies contrastive learning to phase-folded light curves to detect shallow intermediate-to-long period transits, reporting 15.5% and 11.25% gains in combined precision-recall over BLS and TLS in low-SNR tests plus 3-80x speedups.
NASDAQ normalizes observations in an online RL setting so that dynamics prediction losses are balanced across dimensions, yielding competitive performance with lower wall-time than prior model-based and self-predictive methods.
Low-resolution data improves high-resolution model performance when high-resolution samples are limited, via KL-divergence bounds and experiments on vision transformers and CNNs.
A zero-shot visual world model trained on one child's experience achieves broad competence on physical understanding benchmarks while matching developmental behavioral patterns.
COLLIE constructs a semantically coherent skill latent space from unsupervised data to enable training-free guidance with sparse online feedback in guided skill discovery.
A CNN detects 19,685 LAEs at z=2-3.5 in DESI DR1 spectra with 95% purity and completeness.
Strait cuts high-priority deadline violations in ML inference serving by 1-11 percentage points through contention modeling and priority scheduling under high GPU load.
ASTRAFier is a Transformer-BiLSTM-CNN model that classifies stellar variability from light curves, reporting 94.26% accuracy on Kepler data and 88.22% on TESS, then applied to 2.8 million TESS curves to release a catalog.
Proposes a frugal functional representation for star-shaped image objects to analyze contours and textures, illustrated on supervised classification.
A geodesic operator pre-processing step is introduced to let FCNs exploit topological information for segmenting histological images of pigmented reconstructed epidermis.
libconform v0.1.0 is a Python library that implements core conformal prediction algorithms and exposes a documented API.
An overview of deep learning applications and challenges in the automotive industry, covering ADAS, automated driving, virtual sensing, and data-driven development.
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ASTRAFier: A Novel and Scalable Transformer-based Stellar Variability Classifier
ASTRAFier is a Transformer-BiLSTM-CNN model that classifies stellar variability from light curves, reporting 94.26% accuracy on Kepler data and 88.22% on TESS, then applied to 2.8 million TESS curves to release a catalog.