Signal in Noise: Exploring Meaning Encoded in Random Character Sequences with Character-Aware Language Models

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Signal in Noise: Exploring Meaning Encoded in Random Character Sequences with Character-Aware Language Models

Chattez avec Graph Search

The JPEG AI Standard: Providing Efficient Human and Machine Visual Data Consumption

Distribution Inference Risks: Identifying and Mitigating Sources of Leakage

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Sparse-RS: A Versatile Framework for Query-Efficient Sparse Black-Box Adversarial Attacks

Putting ridesharing to the test: efficient and scalable solutions and the power of dynamic vehicle relocation

U-Boost NAS: Utilization-Boosted Differentiable Neural Architecture Search

FLEET: Online Federated Learning via Staleness Awareness and Performance Prediction

On the transition times in a loss model of wireless networks

Preface-Special Issue on Misinformation on the Web

Bona Fide Riesz Projections For Density Estimation

High-order accurate entropy stable adaptive moving mesh finite difference schemes for special relativistic (magneto)hydrodynamics

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Recurrent Neural Networks Are Universal Approximators With Stochastic Inputs

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Unbiased Inverse Volume Rendering with Differential Trackers

Factorial Lower Bounds for (Almost) Random Order Streams

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