yusuke1997/dblp-id-title huggingface dataset:
Real-time Automatic M-mode Echocardiography Measurement with Panel Attention from Local-to-Global Pixels
What Makes LLM Agent Simulations Useful for Policy? Insights From an Iterative Design Engagement in Emergency Preparedness
3DNA: A Tool for DNA Sculpting
Toward Better EHR Reasoning in LLMs: Reinforcement Learning with Expert Attention Guidance
On computing HITS ExpertRank via lumping the hub matrix
A Pattern Sequence Approach to Stern's Sequence
GAIA-1: A Generative World Model for Autonomous Driving
Enhancing Large Language Models for Automated Homework Assessment in Undergraduate Circuit Analysis
Exploring Non-Linear Programming Formulations in QuantumCircuitOpt for Optimal Circuit Design
ML-PCM : Machine Learning Technique for Write Optimization in Phase Change Memory (PCM)
DreamPRM-1.5: Unlocking the Potential of Each Instance for Multimodal Process Reward Model Training
Cross-modal RAG: Sub-dimensional Retrieval-Augmented Text-to-Image Generation
The Sphere Packing Bound for DSPCs with Feedback a la Augustin
Perceive, Reflect and Understand Long Video: Progressive Multi-Granular Clue Exploration with Interactive Agents
On Backhauling of Relay Enhanced Networks in LTE-Advanced
Core-periphery Detection Based on Masked Bayesian Non-negative Matrix Factorization
Robust Representation Learning with Self-Distillation for Domain Generalization
Computing Witnesses Using the SCAN Algorithm (Extended Preprint)
An Online Feedback-Based Linearized Power Flow Model for Unbalanced Distribution Networks
Vertical Federated Learning: A Structured Literature Review
A new greedy randomized adaptive search procedure for multiobjective RNA structural alignment
Aedes-AI: Neural Network Models of Mosquito Abundance
Fractional matchings and component-factors of (edge-chromatic critical) graphs
Head-First Memory Allocation on Best-Fit with Space-Fitting
FedS2R: One-Shot Federated Domain Generalization for Synthetic-to-Real Semantic Segmentation in Autonomous Driving
Robust Image Reconstruction with Misaligned Structural Information
EEG-based Epileptic Prediction via a Two-stage Channel-aware Set Transformer Network
Addressing Racial Bias in Facial Emotion Recognition
Local piecewise polynomial curve of variable order and its appliance for calculating of nodal derivatives
Physics and Deep Learning in Computational Wave Imaging
Highdicom: A Python library for standardized encoding of image annotations and machine learning model outputs in pathology and radiology
Integration of Visual SLAM into Consumer-Grade Automotive Localization
Experiments in Model-Checking Optimistic Replication Algorithms
Exploring Linkablility of Community Reviewing
Leveraging Advanced Machine Learning to Predict Turbulence Dynamics from Temperature Observations at an Experimental Prescribed Fire
SC3EF: A Joint Self-Correlation and Cross-Correspondence Estimation Framework for Visible and Thermal Image Registration
Autonomous Reality Modelling for Cultural Heritage Sites employing cooperative quadrupedal robots and unmanned aerial vehicles
The Electromagnetic Balance Game: A Probabilistic Perspective
Spreadsheet Risk - A New Direction for HMRC?
An Adam-enhanced Particle Swarm Optimizer for Latent Factor Analysis
Low-Complexity Demodulation for Interleaved OFDMA Downlink System Using Circular Convolution
Evaluating Node Embeddings of Complex Networks
Question-Based Salient Span Selection for More Controllable Text Summarization
Analysis of Anonymous User Interaction Relationships and Prediction of Advertising Feedback Based on Graph Neural Network
Geometric lower bounds for generalized ranks
Motif-based Convolutional Neural Network on Graphs
Domain Adaptation by Mixture of Alignments of Second- or Higher-Order Scatter Tensors
Deep Learning for Wound Tissue Segmentation: A Comprehensive Evaluation using A Novel Dataset
Modular Model Reduction of Interconnected Systems: A Top-Down Approach
Evaluating Noisy Optimisation Algorithms: First Hitting Time is Problematic
Deep Learning Segmentation of Ascites on Abdominal CT Scans for Automatic Volume Quantification
Harnessing AI data-driven global weather models for climate attribution: An analysis of the 2017 Oroville Dam extreme atmospheric river
Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation
Automatic accuracy management of quantum programs via (near-)symbolic resource estimation
Abstractive Tabular Dataset Summarization via Knowledge Base Semantic Embeddings
One-class learning towards generalized voice spoofing detection
Frequency and Spatial domain based Saliency for Pigmented Skin Lesion Segmentation
Space Partitioning and Regression Mode Seeking via a Mean-Shift-Inspired Algorithm
SoK: Security of the Image Processing Pipeline in Autonomous Vehicles
Going deep in clustering high-dimensional data: deep mixtures of unigrams for uncovering topics in textual data
A Review of Uncertainty Estimation and its Application in Medical Imaging
Learning Discriminative features using Center Loss and Reconstruction as Regularizer for Speech Emotion Recognition
Automated Design and Optimization of Distributed Filtering Circuits via Reinforcement Learning
Sparks of Explainability: Recent Advancements in Explaining Large Vision Models
Joined Audio-Visual Speech Enhancement and Recognition in the Cocktail Party: The Tug Of War Between Enhancement and Recognition Losses
AD-EE: Early Exiting for Fast and Reliable Vision-Language Models in Autonomous Driving
ModernGBERT: German-only 1B Encoder Model Trained from Scratch
Quantitative Parameter Reconstruction from Optical Coherence Tomographic Data
MolGAN: An implicit generative model for small molecular graphs
An Acceleration of Fixed Point Iterations for M/G/1-type Markov Chains by Means of Relaxation Techniques
Joint Max-Min Power Control and Clustering in Cell-Free Wireless Networks: Design and Analysis
Wavelet Compressibility of Compound Poisson Processes
Why Settle for One? Text-to-ImageSet Generation and Evaluation
Vision Language Models in Medicine
Optimal Communication Scheduling and Remote Estimation over an Additive Noise Channel
Adaptive hyper-reduction of non-sparse operators: application to parametric particle-based kinetic plasma models
Topo2vec: Topography Embedding Using the Fractal Effect
Differentiable Pruning Method for Neural Networks
A Classification of Connected f -factor Problems inside NP
A2D: Anywhere Anytime Drumming
Efficient and Accurate Spatial Mixing of Machine Learned Interatomic Potentials for Materials Science
Contact Localization through Spatially Overlapping Piezoresistive Signals
Real-Time Aware IP-Networking for Resource-Constrained Embedded Devices
Flikcer - A Chrome Extension to Resolve Online Epileptogenic Visual Content with Real-Time Luminance Frequency Analysis
Quiver: Supporting GPUs for Low-Latency, High-Throughput GNN Serving with Workload Awareness
Modelling power markets with multi-stage stochastic Nash equilibria
Multi-focus Image Fusion Based on Similarity Characteristics
Effects of Same-Race Mentorship Preferences on Academic Performance and Survival
The Low Emission Oil&Gas Open (LEOGO) Reference Platform of an Off-Grid Energy System for Renewable Integration Studies
Language identification of controlled systems: Modelling, control and anomaly detection
MONSTOR: An Inductive Approach for Estimating and Maximizing Influence over Unseen Social Networks
Turbo DPSK in Bi-directional Relaying
Guided Layer-wise Learning for Deep Models using Side Information
Streaming Attention-Based Models with Augmented Memory for End-to-End Speech Recognition
How Push-To-Talk Makes Talk Less Pushy
A Connectionist Network Approach to Find Numerical Solutions of Diophantine Equations
Learning Chess With Language Models and Transformers
Beyond Reward Margin: Rethinking and Resolving Likelihood Displacement in Diffusion Models via Video Generation
RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation
Maximality of reversible gate sets
A Practical Algorithm for Enumerating Collinear Points
Pairwise coupling of convolutional neural networks for better explicability of classification systems
Structure-preserving, energy stable numerical schemes for a liquid thin film coarsening model
Copycat CNN: Are Random Non-Labeled Data Enough to Steal Knowledge from Black-box Models?
Software quality: A Historical and Synthetic Content Analysis
Energy-based Surprise Minimization for Multi-Agent Value Factorization
Distributed Sensing and Transmission of Sporadic Random Samples in a Multiple-Access Channel
Swarmrobot.org - Open-hardware Microrobotic Project for Large-scale Artificial Swarms
Driving Referring Video Object Segmentation with Vision-Language Pre-trained Models
Slow mixing of Glauber Dynamics for the hard-core model on regular bipartite graphs
Compressive sensing based beamforming for noisy measurements
Output Diversified Initialization for Adversarial Attacks
Sequential Hypothesis Test with Online Usage-Constrained Sensor Selection
Robust Federated Learning Through Representation Matching and Adaptive Hyper-parameters
Dynamic Network Control for Confidential Multi-hop Communications
TEL'M: Test and Evaluation of Language Models
SAEmnesia: Erasing Concepts in Diffusion Models with Sparse Autoencoders
Power network optimization: a quantum approach
Syntax versus Semantics
Speech Synthesis and Control Using Differentiable DSP
Learning Halfspaces With Membership Queries
Unsupervised Image Semantic Segmentation through Superpixels and Graph Neural Networks
Effect of shortest path multiplicity on congestion of multiplex networks
Addressing Source Scale Bias via Image Warping for Domain Adaptation
Psychologically inspired planning method for smart relocation task
Revealing Directions for Text-guided 3D Face Editing
Propagation Rules of Subsystem Codes
Robust Multi-product Pricing under General Extreme Value Models
Bitcoin Transaction Strategy Construction Based on Deep Reinforcement Learning
Knowledge Distillation via Instance-level Sequence Learning
The Renewed Case for the Reduced Instruction Set Computer: Avoiding ISA Bloat with Macro-Op Fusion for RISC-V
Privacy-driven Access Control in Social Networks by Means of Automatic Semantic Annotation
Travel time optimization on multi-AGV routing by reverse annealing
Data-driven 3D Room Geometry Inference with a Linear Loudspeaker Array and a Single Microphone
A conceptual approach to model co-evolution of urban structures
ANGUS: Real-time manipulation of vocal roughness for emotional speech transformations
When compressive learning fails: blame the decoder or the sketch?
Applications of Deep Learning to the Design of Enhanced Wireless Communication Systems
Ternary Feature Masks: continual learning without any forgetting
Automatic View-Point Selection for Inter-Operative Endoscopic Surveillance
SAT: Self-adaptive training for fashion compatibility prediction
Optimization of a Classical Stamping Progression by Modal Correction of Anisotropy Ears
Seismic facies recognition based on prestack data using deep convolutional autoencoder
Security and RAS in the Computing Continuum
LLM-Powered Code Analysis and Optimization for Gaussian Splatting Kernels
Quantum-Inspired Solver for Simulating Material Deformations
The Epistemic Suite: A Post-Foundational Diagnostic Methodology for Assessing AI Knowledge Claims
Asservissement visuel 3D direct dans le domaine spectral
DoSReMC: Domain Shift Resilient Mammography Classification using Batch Normalization Adaptation
Blockchain technologies in the design of Industrial Control Systems for Smart Cities
Enhancing Diagnostic Accuracy for Urinary Tract Disease through Explainable SHAP-Guided Feature Selection and Classification
Improvement of the monotonicity properties of the difference schemes by building in them of the monotonizing operators
Controlled Hopwise Averaging: Bandwidth/Energy-Efficient Asynchronous Distributed Averaging for Wireless Networks
Product representation for default bilattices: an application of natural duality theory
An Investigation into the use of Images as Password Cues
A Quantum Optimization Algorithm for Single Machine Total Weighted Tardiness Minimization
Dynamic Simulation-Guided Design of Tumbling Magnetic Microrobots
Make-A-Voice: Unified Voice Synthesis With Discrete Representation
Distributed Average Consensus under Quantized Communication via Event-Triggered Mass Splitting
Adaptive higher order reversible integrators for memory efficient deep learning
Revisiting the Vector Space Model: Sparse Weighted Nearest-Neighbor Method for Extreme Multi-Label Classification
Requirements for storing electrophysiology data
HeterMoE: Efficient Training of Mixture-of-Experts Models on Heterogeneous GPUs
On the Convergence of the Pairwise Comparisons Inconsistency Reduction Process
Do Chains-of-Thoughts of Large Language Models Suffer from Hallucinations, Cognitive Biases, or Phobias in Bayesian Reasoning?
SIRe-IR: Inverse Rendering for BRDF Reconstruction with Shadow and Illumination Removal in High-Illuminance Scenes
Evolutionary Multitask Optimization: a Methodological Overview, Challenges and Future Research Directions
CLONeR: Camera-Lidar Fusion for Occupancy Grid-aided Neural Representations
A Batch Normalization Classifier for Domain Adaptation
Relationship between pulmonary nodule malignancy and surrounding pleurae, airways and vessels: a quantitative study using the public LIDC-IDRI dataset
Disturbance Compensation for Safe Kinematic Control of Robotic Systems with Closed Architecture
Muti-Scale And Token Mergence: Make Your ViT More Efficient
Performance Bounds for Sparse Parametric Covariance Estimation in Gaussian Models
Dynamic Facial Asset and Rig Generation from a Single Scan
GraphComp: Extreme Error-bounded Compression of Scientific Data via Temporal Graph Autoencoders
Design of an Autonomous Agriculture Robot for Real Time Weed Detection using CNN
Nurse-in-the-Loop Artificial Intelligence for Precision Management of Type 2 Diabetes in a Clinical Trial Utilizing Transfer-Learned Predictive Digital Twin
Computing multiple solutions of topology optimization problems
GAAF: Searching Activation Functions for Binary Neural Networks through Genetic Algorithm
Accepted with Minor Revisions: Value of AI-Assisted Scientific Writing
Temporal Alignment Prediction for Few-Shot Video Classification
SONIC: Sound Optimization for Noise In Crowds
A Hessian inversion-free exact second order method for distributed consensus optimization
Initializing Perturbations in Multiple Directions for Fast Adversarial Training
An RF-Domain Leakage Cancellation Scheme for FMCW Radars
Predicting metrical patterns in Spanish poetry with language models
Self-orthogonal generalized twisted Reed-Solomon codes
Spectrum Investment under Uncertainty: A Behavioral Economics Perspective
60 GHz Wi-Fi As A Tractor-Trailer Wireless Harness
Contrastive Visual-Linguistic Pretraining
Statistically-secure ORAM with $\tilde{O}(\log^2 n)$ Overhead
Towards a better approximation for sparsest cut?
TrajSyn: Privacy-Preserving Dataset Distillation from Federated Model Trajectories for Server-Side Adversarial Training
Original Loop-closure Detection Algorithm for Monocular vSLAM
HepatoGEN: Generating Hepatobiliary Phase MRI with Perceptual and Adversarial Models
Data-driven modeling of collaboration networks: A cross-domain analysis
PANTHER: A Programmable Architecture for Neural Network Training Harnessing Energy-efficient ReRAM
Person Re-identification in the 3D Space
The lowest-order Neural Approximated Virtual Element Method
Textarium: Entangling Annotation, Abstraction and Argument
L2D2: Robot Learning from 2D Drawings
SynQuE: Estimating Synthetic Dataset Quality Without Annotations
Causally-informed Deep Learning towards Explainable and Generalizable Outcomes Prediction in Critical Care
Grasp and Motion Planning for Dexterous Manipulation for the Real Robot Challenge
Quantum Spatially-Coupled Codes
Memoryless Cumulative Sign Detector for Stealthy CPS Sensor Attacks
Predicting Semantic Map Representations from Images using Pyramid Occupancy Networks
Information Sieve: Content Leakage Reduction in End-to-End Prosody For Expressive Speech Synthesis
Online Block Packing
Scalable Ontological Query Processing over Semantically Integrated Life Science Datasets using MapReduce
Background Debiased SAR Target Recognition via Causal Interventional Regularizer
An Input-to-State Safety Approach to Anomaly-Resilient Parabolic PDEs: Application to Cyber-Physical Battery Modules
RACH Traffic Prediction in Massive Machine Type Communications
5G Positioning and Mapping with Diffuse Multipath
Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion
On Redundant Locating-Dominating Sets
Fast Distributed Backup Placement in Sparse and Dense Graphs
A comment on the structure of graded modules over graded principal ideal domains in the context of persistent homology
Aligning the Pretraining and Finetuning Objectives of Language Models
Backpropagation Training for Fisher Vectors within Neural Networks
SODor: Long-Term EEG Partitioning for Seizure Onset Detection
FlaKat: A Machine Learning-Based Categorization Framework for Flaky Tests
ACRoBat: Optimizing Auto-batching of Dynamic Deep Learning at Compile Time
Stochastic Kronecker Graph on Vertex-Centric BSP
Few hamiltonian cycles in graphs with one or two vertex degrees
CollaChain: A BFT Collaborative Middleware for Decentralized Applications
Efficient Z 2 synchronization on Z d under symmetry-preserving side information
Computational and Statistical Tradeoffs via Convex Relaxation
A three-dimensional Laguerre one-way wave equation solver
Iteration and Stochastic First-order Oracle Complexities of Stochastic Gradient Descent using Constant and Decaying Learning Rates
Rethinking RGB-D Salient Object Detection: Models, Datasets, and Large-Scale Benchmarks
Brain-inspired Distributed Cognitive Architecture
ATLAS: Autoformalizing Theorems through Lifting, Augmentation, and Synthesis of Data
A Neural Column-and-Constraint Generation Method for Solving Two-Stage Stochastic Unit Commitment
Compressing Quaternion Convolutional Neural Networks for Audio Classification
ADRC in Output and Error Form: Connection, Equivalence, Performance
Heterogeneous Recurrent Spiking Neural Network for Spatio-Temporal Classification
LLM Online Spatial-temporal Signal Reconstruction Under Noise
A new measure for dynamic leakage based on quantitative information flow
Retractable Prosthesis for Transfemoral Amputees Using Series Elastic Actuators and Force Control
GradMix for nuclei segmentation and classification in imbalanced pathology image datasets
Scaling of neural-network quantum states for time evolution
3D Cache Hierarchy Optimization
Quantization Range Estimation for Convolutional Neural Networks
Conditional Information Inequalities and Combinatorial Applications
A Concrete Roadmap towards Safety Cases based on Chain-of-Thought Monitoring
Carbon-Aware Intrusion Detection: A Comparative Study of Supervised and Unsupervised DRL for Sustainable IoT Edge Gateways
Pragmatic Inference for Moral Reasoning Acquisition: Generalization via Distributional Semantics
Hierarchical Reinforcement Learning under Mixed Observability
Building Internal Cloud at NIC : A Preview
NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation
Evaluating the impact of increasing temperatures on changes in Soil Organic Carbon stocks: sensitivity analysis and non-standard discrete approximation
Destructive nodes in multi-agent controllability
Geometric tracking control of thrust vectoring UAVs
An architectural technical debt index based on machine learning and architectural smells
Monitoring service quality: methods and solutions to implement a managerial dash-board to improve software development
Spatio-temporal Graph Learning on Adaptive Mined Key Frames for High-performance Multi-Object Tracking
Performance Analysis of Semi-supervised Learning in the Small-data Regime using VAEs
Optimization-Based Motion Planning for Autonomous Agricultural Vehicles Turning in Constrained Headlands
Dealing with Label Scarcity in Computational Pathology: A Use Case in Prostate Cancer Classification
Algorithmic Bias and the New Chicago School
Olmo 3
Attention Deep Model with Multi-Scale Deep Supervision for Person Re-Identification
EOSpython Version 0.0.11: A Framework for Scenario Generation and a Solution System for the Agile Earth Observation Satellite Scheduling Problem
Learning Patient-Specific Spatial Biomarker Dynamics via Operator Learning for Alzheimer's Disease Progression
EnsemW2S: Enhancing Weak-to-Strong Generalization with Large Language Model Ensembles
Deep neural network approximations for Monte Carlo algorithms
Walk the Lines 2: Contour Tracking for Detailed Segmentation
An Optimal Least-Square Solver For Scaled Partial-Isometric Linear Systems
Mitigating Bias in Algorithmic Employment Screening: Evaluating Claims and Practices
Evolving Financial Trading Strategies with Vectorial Genetic Programming
Numerical modelling of heat transfer and experimental validation in Powder-Bed Fusion with the Virtual Domain Approximation
Recoverability Analysis for Modified Compressive Sensing with Partially Known Support
Beyond Chains: Bridging Large Language Models and Knowledge Bases in Complex Question Answering
Improving deep learning precipitation nowcasting by using prior knowledge
Toward Reproducible Cross-Backend Compatibility for Deep Learning: A Configuration-First Framework with Three-Tier Verification
Deep reinforcement learning for large-scale epidemic control
Generalized Policy Improvement Algorithms with Theoretically Supported Sample Reuse
Simplifying Open-Set Video Domain Adaptation with Contrastive Learning
Brick Kiln Dataset for Pakistan's IGP Region Using AI
TypedThinker: Typed Thinking Improves Large Language Model Reasoning
Recovering low-rank matrices from few coefficients in any basis
Approximate Submodular Functions and Performance Guarantees
Limits of Educational Soft "GeoGebra" in a Critical Constructive Review
Large Language Model Enhanced Text-to-SQL Generation: A Survey
Structural Decompositions for End-to-End Relighting
Consensus-Based Distributed Filtering with Fusion Step Analysis
FPA-Debug: Effective Statistical Fault Localization Considering Fault-proneness Analysis
ViraPart: A Text Refinement Framework for ASR and NLP Tasks in Persian
Meta-Learning for Hybrid Precoding in Millimeter Wave MIMO System
Unsupervised Gaze-aware Contrastive Learning with Subject-specific Condition
Seamless Optical Cloud Computing across Edge-Metro Network for Generative AI
Ground-to-UAV and RIS-assisted UAV-to-Ground Communication Under Channel Aging: Statistical Characterization and Outage Performance
Sound Event Localization and Detection using Squeeze-Excitation Residual CNNs
Faster Approximate Multicommodity Flow Using Quadratically Coupled Flows
Localized Iterative Methods for Interpolation in Graph Structured Data
Deep Multi-View Channel-Wise Spatio-Temporal Network for Traffic Flow Prediction
Estimating Vehicle Speed on Roadways Using RNNs and Transformers: A Video-based Approach
Learning Roles with Emergent Social Value Orientations
Unsupervised Discovery of Linguistic Structure Including Two-level Acoustic Patterns Using Three Cascaded Stages of Iterative Optimization
Redesigning Large-Scale Multimodal Transit Networks with Shared Autonomous Mobility Services
Modifying Final Splits of Classification Tree for Fine-tuning Subpopulation Target in Policy Making
Blockchain-based vs. SQL Database Systems for Digital Twin Evidence Management: A Comparative Forensic Analysis
Combating Missing Modalities in Egocentric Videos at Test Time
Low Rank Approximation with Entrywise ℓ 1 -Norm Error
Benchmarking ChatGPT, Codeium, and GitHub Copilot: A Comparative Study of AI-Driven Programming and Debugging Assistants
Bio-inspired Flexible Twisting Wings Increase Lift and Efficiency of a Flapping Wing Micro Air Vehicle
M-MAD: Multidimensional Multi-Agent Debate Framework for Fine-grained Machine Translation Evaluation
On Sparse Hitting Sets: from Fair Vertex Cover to Highway Dimension
Assured Automatic Programming via Large Language Models
Privacy-Aware Activity Classification from First Person Office Videos