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Found 8 papers, 1 papers with code
Attentional Graph Neural Networks for Robust Massive Network Localization
To tap the potential of GNNs in regression, this paper integrates GNNs with attention mechanism, a technique that revolutionized sequential learning tasks with its adaptability and robustness, to tackle a challenging nonlinear regression problem: network localization.
Machine Learning on generalized Complete Intersection Calabi-Yau Manifolds
Generalized Complete Intersection Calabi-Yau Manifold (gCICY) is a new construction of Calabi-Yau manifolds established recently.
Cursed yet Satisfied Agents
In contrast, we show that for sum-concave valuations, which include weighted-sum valuations and l_p-norms, the welfare optimal EPBB mechanism obtains half of the optimal welfare as the number of agents grows large.
Replication Markets: Results, Lessons, Challenges and Opportunities in AI Replication
We will discuss opportunities and challenges of using these approaches to monitor and improve the credibility of research areas in Computer Science, AI, and ML.
Forecast Aggregation via Peer Prediction
In this paper, we study the problem of aggregating forecasts without having historical performance data.
Randomized Wagering Mechanisms
We show that a broad family of randomized wagering mechanisms satisfy all desirable theoretical properties.
Surrogate Scoring Rules
We show that, with a single bit of information about the prior distribution of the random variables, SSR in a multi-task setting recover SPSR in expectation, as if having access to the ground truth.
Observations of Reconnection Flows in a Flare on the Solar Disk
Magnetic reconnection is a well-accepted part of the theory of solar eruptive events, though the evidence is still circumstantial.
Solar and Stellar Astrophysics
