yusuke1997/dblp-id-title huggingface dataset:
Traffic Minimizing Caching and Latent Variable Distributions of Order Statistics
Hardware Security Evaluation of MAX 10 FPGA
Planning by case-based reasoning based on fuzzy logic
Can MLLMs Perform Text-to-Image In-Context Learning?
VCoach: A Customizable Visualization and Analysis System for Video-based Running Coaching
Synthetic Series-Symbol Data Generation for Time Series Foundation Models
Advancing Medical Education through the cINnAMON Web Application
Solving Systems of Quadratic Equations via Exponential-type Gradient Descent Algorithm
Output-Feedback Nonlinear Model Predictive Control with Iterative State- and Control-Dependent Coefficients
EasyHeC: Accurate and Automatic Hand-eye Calibration via Differentiable Rendering and Space Exploration
ReCo: Reminder Composition Mitigates Hallucinations in Vision-Language Models
Skeleton Focused Human Activity Recognition in RGB Video
Storing Encoded Episodes as Concepts for Continual Learning
Towards A Post-Quantum Cryptography in Blockchain I: Basic Review on Theoretical Cryptography and Quantum Information Theory
A Binary Data Stream Scripting Language
Optimisation challenge for superconducting adiabatic neural network implementing XOR and OR boolean functions
Local Differentially Private Regret Minimization in Reinforcement Learning
Evaluation of Argo Scholar with Observational Study
Characterization of P2P IPTV Traffic: Scaling Analysis
Edge Guided GANs with Multi-Scale Contrastive Learning for Semantic Image Synthesis
Driver Side and Traffic Based Evaluation Model for On-Street Parking Solutions
Non-Rigid Image Registration Using Self-Supervised Fully Convolutional Networks without Training Data
Standard-to-Dialect Transfer Trends Differ across Text and Speech: A Case Study on Intent and Topic Classification in German Dialects
Multi-Channel Masking with Learnable Filterbank for Sound Source Separation
Real-Time Multi-Diver Tracking and Re-identification for Underwater Human-Robot Collaboration
Congestion Control in Computer Networks: Trends and Issues
An Approximation Algorithm for Covering Linear Programs and its Application to Bin-Packing
Closing the Gap between Weighted and Unweighted Matching in the Sliding Window Model
Blockchain and Smart-contracts Modeled in a SwarmESB Ecosystem
A nudged hybrid analysis and modeling approach for realtime wake-vortex transport and decay prediction
Relating Reading, Visualization, and Coding forNew Programmers: A Neuroimaging Study
On Local and Global Centrality in Large Scale Networks
Eigenmatrix for unstructured sparse recovery
GroupCast: Preference-Aware Cooperative Video Streaming with Scalable Video Coding
Breaking the Silence Detecting and Mitigating Gendered Abuse in Hindi, Tamil, and Indian English Online Spaces
The Mismeasure of Man and Models: Evaluating Allocational Harms in Large Language Models
Exploiting Equitable Partitions for Efficient Block Triangularization
A novel structured argumentation framework for improved explainability of classification tasks
Automatic Identification of Arabic expressions related to future events in Lebanon's economy
Boosting Bitcoin Minute Trend Prediction Using the Separation Index
DEEPFAKE CLI: Accelerated Deepfake Detection using FPGAs
Dual-Alignment Knowledge Retention for Continual Medical Image Segmentation
TransUPR: A Transformer-based Uncertain Point Refiner for LiDAR Point Cloud Semantic Segmentation
The k-mismatch problem revisited
HiQ-Lip: The First Quantum-Classical Hierarchical Method for Global Lipschitz Constant Estimation of ReLU Networks
No Free Lunch: Rethinking Internal Feedback for LLM Reasoning
Online nonparametric regression with Sobolev kernels
Going after the k-SAT Threshold
Validating Pharmacogenomics Generative Artificial Intelligence Query Prompts Using Retrieval-Augmented Generation (RAG)
Confidence Calibration for Audio Captioning Models
Kernel Density Estimation based Factored Relevance Model for Multi-Contextual Point-of-Interest Recommendation
Universal Multi-Source Domain Adaptation
Optimising Clifford Circuits with Quantomatic
Hybrid Generative-Contrastive Representation Learning
Exactly simulating stochastic chemical reaction networks in sub-constant time per reaction
MegaScale-MoE: Large-Scale Communication-Efficient Training of Mixture-of-Experts Models in Production
EDiT: Efficient Diffusion Transformers with Linear Compressed Attention
TurboEdit: Instant text-based image editing
Beyond Words: A Mathematical Framework for Interpreting Large Language Models
Smart and Context-Aware System employing Emotions Recognition
A Hybrid of Deep Audio Feature and i-vector for Artist Recognition
How small are building blocks of complex networks
It's-A-Me, Quantum Mario: Scalable Quantum Reinforcement Learning with Multi-Chip Ensembles
Improving Perceptual Quality by Phone-Fortified Perceptual Loss for Speech Enhancement
Applying statistical learning theory to deep learning
Multilevel Memetic Hypergraph Partitioning with Greedy Recombination
Revisiting Activation Regularization for Language RNNs
Human Motion Prediction using Adaptable Neural Networks
Static Knowledge vs. Dynamic Argumentation: A Dual Theory Based on Kripke Semantics
Adaptive formation motion planning and control of autonomous underwater vehicles using deep reinforcement learning
Differentiable by Design Nonlinear Optimization and its application to Model Predictive Control
Attention as Binding: A Vector-Symbolic Perspective on Transformer Reasoning
Exploring Event Camera-based Odometry for Planetary Robots
Using Deep Learning to Solve Computer Security Challenges: A Survey
Negative Samples are at Large: Leveraging Hard-distance Elastic Loss for Re-identification
Revisiting Expected Possession Value in Football: Introducing a Benchmark, U-Net Architecture, and Reward and Risk for Passes
Doracamom: Joint 3D Detection and Occupancy Prediction with Multi-view 4D Radars and Cameras for Omnidirectional Perception
Quasi-decidability of a Fragment of the First-order Theory of Real Numbers
A Group-Theoretic Framework for Knowledge Graph Embedding
CrowdRec: 3D Crowd Reconstruction from Single Color Images
BASIL: Best-Action Symbolic Interpretable Learning for Evolving Compact RL Policies
Bootstrapping deep music separation from primitive auditory grouping principles
Tropicalization of classical moduli spaces
Minima distribution for global optimization
CyberEye: Obtaining Data from Virtual Desktop by Video
Artificial Intelligence-Enhanced Couinaud Segmentation for Precision Liver Cancer Therapy
Prediction of ICD Codes with Clinical BERT Embeddings and Text Augmentation with Label Balancing using MIMIC-III
Predicting Quantum Potentials by Deep Neural Network and Metropolis Sampling
Learning To Retrieve: How to Train a Dense Retrieval Model Effectively and Efficiently
Reverse Proxy Framework using Sanitization Technique for Intrusion Prevention in Database
Sublinear Dynamic Interval Scheduling (on one or multiple machines)
Selected Qualitative Spatio-temporal Calculi Developed for Constraint Reasoning: A Review
Benchmarks for Industrial Inspection Based on Structured Light
Consensus Algorithms of Distributed Ledger Technology - A Comprehensive Analysis
Memcomputing Numerical Inversion with Self-Organizing Logic Gates
Verifying Quantized Neural Networks using SMT-Based Model Checking
Quantum Inspired Security on a Mobile Phone
Alternating minimization for a single step TV-Stokes model for image denoising
Double-Constraint Diffusion Model with Nuclear Regularization for Ultra-low-dose PET Reconstruction
Steganalysis: Detecting LSB Steganographic Techniques
Optimal Scheduling of Multi-Energy Systems with Flexible Electrical and Thermal Loads
Detecting Urban PM 2.5 Hotspots with Mobile Sensing and Gaussian Process Regression
Why Constant-Composition Codes Reduce Nonlinear Interference Noise
PseudoVC: Improving One-shot Voice Conversion with Pseudo Paired Data
Rapid Gyroscope Calibration: A Deep Learning Approach
Beyond Binary Computers: How To Implement Multi-Switch Computer Hardware and Software and; The Advantage of a Multi-Switched Computer
Decay towards the overall-healthy state in SIS epidemics on networks
Label-template based Few-Shot Text Classification with Contrastive Learning
A2Perf: Real-World Autonomous Agents Benchmark
A Novel Machine Learning Method for Preference Identification
InfluenceNet: AI Models for Banzhaf and Shapley Value Prediction
Improving Photovoltaic Hosting Capacity of Distribution Networks with Coordinated Inverter Control - A Case Study of the EPRI J1 Feeder
Arithmetic, First-Order Logic, and Counting Quantifiers
Laplace Functional Ordering of Point Processes in Large-scale Wireless Networks
Generative Adversarial Networks Bridging Art and Machine Intelligence
PLVER: Joint Stable Allocation and Content Replication for Edge-assisted Live Video Delivery
Embedding by Normalisation
Social learning via actions in bandit environments
WebSailor-V2: Bridging the Chasm to Proprietary Agents via Synthetic Data and Scalable Reinforcement Learning
CycleChart: A Unified Consistency-Based Learning Framework for Bidirectional Chart Understanding and Generation
MonoFusion: Sparse-View 4D Reconstruction via Monocular Fusion
Finding new routes for integrating Multi-Agent Systems using Apache Camel
Gaussian multi-target filtering with target dynamics driven by a stochastic differential equation
Occlusion-Aware 2D and 3D Centerline Detection for Urban Driving via Automatic Label Generation
Assessment of Personalized Learning in Immersive and Intelligent Virtual Classroom on Student Engagement
Synchronizing automata and the language of minimal reset words
Visibly Pushdown Languages and Free Profinite Algebras
Formal Verification of Input-Output Mappings of Tree Ensembles
Error Interference in Quantum Simulation
Reuse Distance-based Copy-backs of Clean Cache Lines to Lower-level Caches
Modeling a repository of modules for ports Terminals Operating System (TOS)
Syntactic Completions with Material Obligations
Mechanics and Design of Metastructured Auxetic Patches with Bio-inspired Materials
FPGA with Improved Routability and Robustness in 130nm CMOS with Open-Source CAD Targetability
Federated Learning Based Decentralized Adaptive Intelligent Transmission Protocol for Privacy Preserving 6G Networks
Set-Theoretic Preliminaries for Computer Scientists
Hamming Code for Multiple Sources
To Infinity and Beyond: Tool-Use Unlocks Length Generalization in State Space Models
ConBatch-BAL: Batch Bayesian Active Learning under Budget Constraints
Convolutional codes with a maximum distance profile based on skew polynomials
DIGS: Dynamic CBCT Reconstruction using Deformation-Informed 4D Gaussian Splatting and a Low-Rank Free-Form Deformation Model
A Monotone Discretization for the Fractional Obstacle Problem
The Separation of NP and PSPACE
Depth and Reflection Total Variation for Single Image Dehazing
Corella: A Private Multi Server Learning Approach based on Correlated Queries
"Dependency Bottleneck" in Auto-encoding Architectures: an Empirical Study
MEW-UNet: Multi-axis representation learning in frequency domain for medical image segmentation
Multiple verification in computational modeling of bone pathologies
Thompson Sampling with Virtual Helping Agents
Meronymic Ontology Extraction via Large Language Models
An Efficient Coarse-to-Fine Facet-Aware Unsupervised Summarization Framework based on Semantic Blocks
Transformers for molecular property prediction: Lessons learned from the past five years
On the Stability Region of Multi-Queue Multi-Server Queueing Systems with Stationary Channel Distribution
A classification of well-behaved graph clustering schemes
Locally Tomographic Shadows (Extended Abstract)
Graphs with the same truncated cycle matroid
Generative AI for Medical Imaging: extending the MONAI Framework
Semi-Supervised Information-Maximization Clustering
Performance Evaluation of IEEE 802.11 for UAV-based Wireless Sensor Networks in NS-3
The effect of using facebook markup language (fbml) for designing an e-learning model in higher education
TreeDQN: Learning to minimize Branch-and-Bound tree
Endogenous Epistemic Factionalization: A Network Epistemology Approach
Ethical issues with using Internet of Things devices in citizen science research: A scoping review
The Animal ID Problem: Continual Curation
Systematic Testing of Convolutional Neural Networks for Autonomous Driving
Code size constraints in b-symbol read channels: A bound analysis
Tactile Perception of Electroadhesion: Effect of DC versus AC Stimulation and Finger Moisture
Latent Chemical Space Searching for Plug-in Multi-objective Molecule Generation
A preliminary approach to knowledge integrity risk assessment in Wikipedia projects
LVCHAT: Facilitating Long Video Comprehension
Volumetric Convolution: Automatic Representation Learning in Unit Ball
Text-controlled Motion Mamba: Text-Instructed Temporal Grounding of Human Motion
Robust Bayesian Scene Reconstruction by Leveraging Retrieval-Augmented Priors
Virtual Elements and curved edges
Robust Event-Based Control: Bridge Time-Domain Triggering and Frequency-Domain Uncertainties
Lightweight Estimation of Hand Mesh and Biomechanically Feasible Kinematic Parameters
MIRACLE: Multi-task Learning based Interpretable Regulation of Autoimmune Diseases through Common Latent Epigenetics
Learning to Navigate Autonomously in Outdoor Environments : MAVNet
DC power grids with constant-power loads - Part I: A full characterization of power flow feasibility, long-term voltage stability and their correspondence
Benchmarking time series classification - Functional data vs machine learning approaches
Central Bank Digital Currencies: A Survey
Supporting Out-of-turn Interactions in a Multimodal Web Interface
Integrated Node Encoder for Labelled Textual Networks
Boosting Instruction Following at Scale
RRH based Massive MIMO with "on the Fly" Pilot Contamination Control
(In)Security of Mobile Apps in Developing Countries: A Systematic Literature Review
On Training Recurrent Neural Networks for Lifelong Learning
Geometry-Contrastive Generative Adversarial Network for Facial Expression Synthesis
Using Camouflaged Cyber Simulations as a Model to Ensure Validity in Cybersecurity Experimentation
ViM-VQ: Efficient Post-Training Vector Quantization for Visual Mamba
Data Generation for Satellite Image Classification Using Self-Supervised Representation Learning
Discussion of Ensemble Learning under the Era of Deep Learning
Fourier Neural Networks: A Comparative Study
The diaspora model for human migration
'A net for everyone': fully personalized and unsupervised neural networks trained with longitudinal data from a single patient
Efficient Evaluation of Natural Stochastic Policies in Offline Reinforcement Learning
Sliced ReLU attention: Quasi-linear contextual expressivity via sorting
Composite Indicator-Guided Infilling Sampling for Expensive Multi-Objective Optimization
TrajGPT: Irregular Time-Series Representation Learning for Health Trajectory Analysis
HealthcareNLP: where are we and what is next?
Rural School Bus Routing and Scheduling
Intra-operative Brain Tumor Detection with Deep Learning-Optimized Hyperspectral Imaging
Gauss-Bonnet for multi-linear valuations
In defence of the simple: Euclidean distance for comparing complex networks
Realization of the inverse scattering transform method for the Korteweg-de Vries equation
Revisiting LFSMs
Modern consumerism and the waste problem
Rewind-to-Delete: Certified Machine Unlearning for Nonconvex Functions
Multi-Layer Hierarchical Federated Learning with Quantization
Deep learning for 3D point cloud processing - from approaches, tasks to its implications on urban and environmental applications
Age and Power Minimization via Meta-Deep Reinforcement Learning in UAV Networks
Do Multimodal Large Language Models See Like Humans?
Text Classification: A Review, Empirical, and Experimental Evaluation
Enabling Intelligent Traffic Systems: A Deep Learning Method for Accurate Arabic License Plate Recognition
Motion-prior Contrast Maximization for Dense Continuous-Time Motion Estimation
Knowledge Condensation and Reasoning for Knowledge-based VQA
Assessing Ranking and Effectiveness of Evolutionary Algorithm Hyperparameters Using Global Sensitivity Analysis Methodologies
Learning robust visual representations using data augmentation invariance
SGSR: Structure-Guided Multi-Contrast MRI Super-Resolution via Spatio-Frequency Co-Query Attention
TinyLLM: Learning a Small Student from Multiple Large Language Models
Learning Directly from Grammar Compressed Text
VK-Det: Visual Knowledge Guided Prototype Learning for Open-Vocabulary Aerial Object Detection
On the Acceleration of Deep Neural Network Inference using Quantized Compressed Sensing
Neurosymbolic artificial intelligence via large language models and coherence-driven inference
Approximation-free Control of Unknown Euler-Lagrangian Systems under Input Constraints
Noise-Resilient Group Testing with Order-Optimal Tests and Fast-and-Reliable Decoding
Mobile Access Control System Based on RFID Tags And Facial Information
What comes after transformers? - A selective survey connecting ideas in deep learning
Active Bucketized Learning for ACOPF Optimization Proxies
Adversarial Ladder Networks
Health Care Waste Classification Using Deep Learning Aligned with Nepal's Bin Color Guidelines
Safety-Critical Protective Systems and Margins of Safety
Knowledge-Injected Federated Learning
The Complexity of Identifying Ryu-Takayanagi Surfaces in AdS3/CFT2
Learning and Transfer of Modulated Locomotor Controllers
Monitoring and Prediction in Smart Energy Systems via Multi-timescale Nexting
Eliminating Meta Optimization Through Self-Referential Meta Learning
DG-TTA: Out-of-domain medical image segmentation through Domain Generalization and Test-Time Adaptation
Improving In-Context Learning in Diffusion Models with Visual Context-Modulated Prompts
Customized way of Resource Discovery in a Campus Grid
GEMA-Score: Granular Explainable Multi-Agent Score for Radiology Report Evaluation
Can Language Models Learn Typologically Implausible Languages?
Science Use in Regulatory Impact Analysis: The Effects of Political Attention and Controversy
Reinforcement-Driven Spread of Innovations and Fads
Panoramic Image Inpainting With Gated Convolution And Contextual Reconstruction Loss
AMCTD: Adaptive Mobility of Courier nodes in Threshold-optimized DBR Protocol for Underwater Wireless Sensor Networks
Patterns for Documenting Open Source Frameworks
Phoebe: Reuse-Aware Online Caching with Reinforcement Learning for Emerging Storage Models
Diffusion-based Counterfactual Augmentation: Towards Robust and Interpretable Knee Osteoarthritis Grading
Machine Translation for Accessible Multi-Language Text Analysis
On Localized Discrepancy for Domain Adaptation
A temporal model for multiple sclerosis course evolution
HiFTNet: A Fast High-Quality Neural Vocoder with Harmonic-plus-Noise Filter and Inverse Short Time Fourier Transform
Role of Intrinsic Motivation in User Interface Design to Enhance Worker Performance in Amazon MTurk
The Mirage of Performance Gains: Why Contrastive Decoding Fails to Address Multimodal Hallucination
Semantic segmentation of trajectories with agent models
Identification of important nodes in the information propagation network based on the artificial intelligence method
Governance-Aware Hybrid Fine-Tuning for Multilingual Large Language Models
Collaborative Knowledge Fusion: A Novel Approach for Multi-task Recommender Systems via LLMs
Measuring the Availability and Response Times of Public Encrypted DNS Resolvers
Researching Alignment Research: Unsupervised Analysis
Persistence Diagrams for Efficient Simplicial Complex Reconstruction
Estimation of Appearance and Occupancy Information in Birds Eye View from Surround Monocular Images
A Stochastic Model for Estimating the Number of Offenders and Targets on Snapchat Platform
Demand-Aware Network Design with Steiner Nodes and a Connection to Virtual Network Embedding
Unsupervised Foveal Vision Neural Networks with Top-Down Attention
Faster queries for longest substring palindrome after block edit
Libra: Architectural Support For Principled, Secure And Efficient Balanced Execution On High-End Processors (Extended Version)
Apocalypse, survivalism, occultism and esotericism communities on Brazilian Telegram: when faith is used to sell quantum courses and open doors to harmful conspiracy theories
Chat2SPaT: A Large Language Model Based Tool for Automating Traffic Signal Control Plan Management
Flexible Camera Calibration Using a New Analytical Radial Undistortion Formula with Application to Mobile Robot Localization
Learning Predictive Safety Filter via Decomposition of Robust Invariant Set
LDTR: Transformer-based Lane Detection with Anchor-chain Representation
Learning to Globally Edit Images with Textual Description
Correction of circuit faults in a stacked quantum memory using rank-metric codes
Attention based Multiple Instance Learning for Classification of Blood Cell Disorders
SVC-onGoing: Signature Verification Competition
Convergence Analysis of Machine Learning Algorithms for the Numerical Solution of Mean Field Control and Games: II - The Finite Horizon Case
Exploring Scientists' Working Timetable: A Global Survey
Visual-Tactile Cross-Modal Data Generation using Residue-Fusion GAN with Feature-Matching and Perceptual Losses
A Game-theoretic Understanding of Repeated Explanations in ML Models
Debiased machine learning for estimating the causal effect of urban traffic on pedestrian crossing behaviour
Mathematical Modelling of Turning Delays in Swarm Robotics
Training Neural Networks with Very Little Data - A Draft
Minimum-Variance Recursive State Estimation for 2-D Systems: When Asynchronous Multi-Channel Delays meet Energy Harvesting Constraints
Multicasting in Large Wireless Networks: Bounds on the Minimum Energy per Bit
Deep kernel processes
PEO: Training-Free Aesthetic Quality Enhancement in Pre-Trained Text-to-Image Diffusion Models with Prompt Embedding Optimization
Audio-Visual Waypoints for Navigation
Formalization of Complexity Analysis of the First-order Optimization Algorithms
Distributed Averaging using non-convex updates
Rethinking Pareto Frontier for Performance Evaluation of Deep Neural Networks
Polynomial methods in statistical inference: theory and practice
NLP and Education: using semantic similarity to evaluate filled gaps in a large-scale Cloze test in the classroom
Nonnegative tensor factorization with frequency modulation cues for blind audio source separation
A Graphical Interactive Debugger for Distributed Systems
PHONEix: Acoustic Feature Processing Strategy for Enhanced Singing Pronunciation with Phoneme Distribution Predictor
DistRAG: Towards Distance-Based Spatial Reasoning in LLMs
Dynamic importance learning using fisher information gain for nonlinear system identification
Power side-channel leakage localization through adversarial training of deep neural networks
Online Joint Bid/Daily Budget Optimization of Internet Advertising Campaigns
SoPhAr: Solar Phased-Arrays to boost the range of electric, hydrogen and SAF airliners in a solar world
Quality Assessment of DIBR-synthesized views: An Overview
Optimal Randomness in Swarm-based Search
Knowledge-Driven New Drug Recommendation
e-person Architecture and Framework for Human-AI Co-adventure Relationship
Deep Bayesian Active Learning-to-Rank with Relative Annotation for Estimation of Ulcerative Colitis Severity
There is HOPE to Avoid HiPPOs for Long-memory State Space Models
Lifelong Reinforcement Learning with Similarity-Driven Weighting by Large Models
Beyond Means: A Dynamic Framework for Predicting Customer Satisfaction
Phase transition of the Sinkhorn-Knopp algorithm
The Quasi-Polynomial Low-Degree Conjecture is False
Step Saver: Predicting Minimum Denoising Steps for Diffusion Model Image Generation
Real-World Data Inspired Interactive Connected Traffic Scenario Generation
Identifying and Resisting Adversarial Videos Using Temporal Consistency
Performance Improvement in Noisy Linear Consensus Networks with Time-Delay
Quantum codes from superelliptic curves
InfoPrint: Embedding Information into 3D Printed Objects
Eco-Routing Using Open Street Maps
Enhancing Multimodal Medical Image Classification using Cross-Graph Modal Contrastive Learning