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77 papers · 1 filter
A Theory of Non-Acyclic Generative Flow Networks
Leo Maxime Brunswic, Yinchuan Li, Yushun Xu +2
GFlowNets is a novel flow-based method for learning a stochastic policy to generate objects via a sequence of actions and with probability proportional to a given positive reward.…
Exploring Error Bits for Memory Failure Prediction: An In-Depth Correlative Study
Qiao Yu, Wengui Zhang, Jorge Cardoso +1
In large-scale datacenters, memory failure is a common cause of server crashes, with Uncorrectable Errors (UEs) being a major indicator of Dual Inline Memory Module (DIMM) defects.…
Nash Equilibria of Two-round Auctions
Chulong Zhong, Xiang Yan, Yuyi Wang +2
In a two-round auction, a subset of bidders is selected (probabilistically), according to their bids in the first round, for the second round, where they can increase their bids. W…
Densifying MIMO: Channel Modeling, Physical Constraints, and Performance Evaluation for Holographic Communications
Y. Liu, M. Zhang, T. Wang +2
As the backbone of the fifth-generation (5G) cellular network, massive multiple-input multiple-output (MIMO) encounters a significant challenge in practical applications: how to de…
One-bit Supervision for Image Classification: Problem, Solution, and Beyond
Hengtong Hu, Lingxi Xie, Xinyue Hue +2
This paper presents one-bit supervision, a novel setting of learning with fewer labels, for image classification. Instead of training model using the accurate label of each sample,…
Bound on annealing performance from stochastic thermodynamics, with application to simulated annealing
Yutong Luo, Yi-Zheng Zhen, Xiangjing Liu +2
Annealing is the process of gradually lowering the temperature of a system to guide it towards its lowest energy states. In an accompanying paper [Luo et al. Phys. Rev. E 108, L052…