Staffing & Scheduling

Network Diffuser for Placing-Scheduling Service Function Chains with Inverse Demonstration

Network services are increasingly managed by considering chained-up virtual network functions and relevant traffic flows, known as the Service Function Chains (SFCs). To deal with sequential arrivals of SFCs in an online fashion, we must consider two closely-coupled problems - an SFC placement problem that maps SFCs to servers/links in the network and an SFC scheduling problem that determines wh...

Addressing Domain Shift via Imbalance-Aware Domain Adaptation in Embryo Development Assessment

Deep learning models in medical imaging face dual challenges: domain shift, where models perform poorly when deployed in settings different from their training environment, and class imbalance, where certain disease conditions are naturally underrepresented. We present Imbalance-Aware Domain Adaptation (IADA), a novel framework that simultaneously tackles both challenges through three key compon...

Enhancing Virtual Try-On with Synthetic Pairs and Error-Aware Noise Scheduling

Given an isolated garment image in a canonical product view and a separate image of a person, the virtual try-on task aims to generate a new image o...

Federated-Continual Dynamic Segmentation of Histopathology guided by Barlow Continuity

Federated- and Continual Learning have been established as approaches to enable privacy-aware learning on continuously changing data, as required fo...

Identity-Preserving Video Dubbing Using Motion Warping

Video dubbing aims to synthesize realistic, lip-synced videos from a reference video and a driving audio signal. Although existing methods can accur...

An Empirical Study of Accuracy-Robustness Tradeoff and Training Efficiency in Self-Supervised Learning

Self-supervised learning (SSL) has significantly advanced image representation learning, yet efficiency challenges persist, particularly with advers...

Underwater Image Restoration Through a Prior Guided Hybrid Sense Approach and Extensive Benchmark Analysis

Underwater imaging grapples with challenges from light-water interactions, leading to color distortions and reduced clarity. In response to these ch...

Simulated prosthetic vision confirms checkerboard as an effective raster pattern for epiretinal implants

Spatial scheduling of electrode activation ("rastering") is essential for safely operating high-density retinal implants, yet its perceptual consequ...

The interplay between domain specialization and model size

Scaling laws for language models have often focused on finding the optimal model size and token count for training from scratch. However, achieving ...

Digital Twin-based SIM Communication and Flight Control for Advanced Air Mobility

Electric Vertical Take-off and Landing vehicles (eVTOLs) are driving Advanced Air Mobility (AAM) toward transforming urban transportation by extendi...

Growth Cost and Transport Efficiency Tradeoffs Define Root System Optimization Across Varying Developmental Stages and Environments in Arabidopsis

Root system architecture (RSA) is central to plant adaptation and fitness, yet the design principles and regulatory mechanisms connecting RSA to envir...

Cortico-striatal dynamics across working memory stages

Working memory depends on the temporary retention and manipulation of information, bridging the gap between short-term memory and information processi...

Deep-learning-assisted SICM for enhanced real-time imaging of nanoscale biological dynamics

Scanning Ion Conductance Microscopy (SICM) provides high-resolution, nanoscale imaging of living cells, but it is generally limited by a slow scan rat...

Cognitive training effects are shaped more by individual brain dynamics than age – Evidence from younger and older women

Given the well-established structural and functional changes in the aging brain, it is widely assumed that cognitive aging is primarily driven by robu...

Uncertainty in Deep Learning for EEG under Dataset Shifts

As artificial intelligence (AI) is increasingly integrated into medical diagnostics, it is essential that predictive models provide not only accurate ...

Circuit inhibition promotes the dynamic reorganization of prefrontal task encoding to support cognitive flexibility

The mammalian prefrontal cortex encodes variables related to goal-directed behavior, and enables flexibility during environmental changes, making it c...

Temporal constraints of conscious tactile perception in the primary somatosensory cortex

The primary somatosensory cortex (S1) has long been implicated in tactile perception, yet its precise role in conscious tactile detection remains unce...

Divergent Excitability of GABAergic Neurons Derived from Bipolar Disorder Patients Shapes Energy Shifts of Network Dynamics, possibly mimicking mania and depression

Bipolar disorder (BD) is characterized by fluctuating mood states, yet the cellular and circuit-level mechanisms distinguishing lithium-responsive (LR...

Uncertainty and reward histories have distinct effects on decisions after wins and losses

Intelligent behavior necessitates an adaptive integration of feedback. It is well-known that animals asymmetrically learn from positive and negative f...

A theory for self-sustained balanced states in absence of strong external currents

Recurrent neural networks with balanced excitation and inhibition exhibit irregular asynchronous dynamics, which is fundamental for cortical computati...