The Cauchy Combination Test under Arbitrary Dependence Structures

Combining individual p-values to perform an overall test is often encountered in statistical applications. The Cauchy combination test (CCT) (Journal of the American Statistical Association, 2020, …

VideoDG : Generalizing Temporal Relations in Videos to Novel Domains

This paper introduces video domain generalization where most video classification networks degenerate due to the lack of exposure to the target domains of divergent distributions. We observe that t…

Deep Generative Modelling : A Comparative Review of VAEs, GANs, Normalizing F…

Deep generative models are a class of techniques that train deep neural networks to model the distribution of training samples. Research has fragmented into various interconnected approaches, each …

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Real-Time FPGA Investigation of Potential FEC Schemes for 800G-ZR/ZR+ Forward…

Forward error correction (FEC) performance down to 1e-15 bit error rate (BER) of a open FEC code (OFEC), which was recently proposed for the 800G inter-data center interconnect (DCI) standard, is v…

Experimental Phase Stabilization of a 397-Channel Laser Beam Array Via Image …

A phase-locking module is firstly validated for coherent beam combining (CBC) systems of near 400 laser beams in dynamic noise environment. It is based on a 2-dimensional image processing in the ph…

Adversarial Reinforced Instruction Attacker for Robust Vision-Language Naviga…

Language instruction plays an essential role in the natural language grounded navigation tasks. However, navigators trained with limited human-annotated instructions may have difficulties in accura…

The Inventory Routing Problem Under Uncertainty

We study an uncertain inventory routing problem with a finite horizon. The supplier acts as a central planner who determines the replenishment quantities and also, the delivery times and routes to …

Robust Satisficing

We present a general framework for robust satisficing that favors solutions for which a risk-aware objective function would best attain an acceptable target even when the actual probability distrib…