yusuke1997/dblp-id-title huggingface dataset:
Pheno-Mapper: An Interactive Toolbox for the Visual Exploration of Phenomics Data
Design and Development of a Gecko-Adhesive Gripper for the Astrobee Free-Flying Robot
Sharper convergence bounds of Monte Carlo Rademacher Averages through Self-Bounding functions
On the Role of Mobility for Multi-message Gossip
Group Complete-s Pliable Index Coding
Practical Framework for Privacy-Preserving and Byzantine-robust Federated Learning
The WorldGrid transatlantic testbed: a successful example of Grid interoperability across EU and U.S. domains
CardioGenAI: A Machine Learning-Based Framework for Re-Engineering Drugs for Reduced hERG Liability
Tiny is not small enough: High-quality, low-resource facial animation models through hybrid knowledge distillation
CIE: Controlling Language Model Text Generations Using Continuous Signals
Reformulated dissipation for the free-stream preserving of the conservative finite difference schemes on curvilinear grids
Two-Way Interference Channel Capacity: How to Have the Cake and Eat it Too
An additive two-level parallel variant of the DMRG algorithm with coarse-space correction
Type-Directed Program Synthesis for RESTful APIs
Maximal Load Shedding Verification for Neural Network Models of AC Line Switching
Improved Noise Weighting in CELP Coding of Speech - Applying the Vorbis Psychoacoustic Model To Speex
Layer-Wise Quantization: A Pragmatic and Effective Method for Quantizing LLMs Beyond Integer Bit-Levels
Transfer Learning Based Diagnosis and Analysis of Lung Sound Aberrations
Symbolic Computation of Conservation Laws, Generalized Symmetries, and Recursion Operators for Nonlinear Differential-Difference Equations
A novel illumination condition varied image dataset-Food Vision Dataset (FVD) for fair and reliable consumer acceptability predictions from food
Cross-Layer Scheduling for OFDMA-based Cognitive Radio Systems with Delay and Security Constraints
Learning Variational Data Assimilation Models and Solvers
Internet of Things (IoT) and Cloud Computing Enabled Disaster Management
Modelling Urban Dynamics with Multi-Modal Graph Convolutional Networks
Online Robust Control of Linear Dynamical Systems with Prediction
OrdShap: Feature Position Importance for Sequential Black-Box Models
Adaptive Invariance for Molecule Property Prediction
Autonomous Cave Surveying with an Aerial Robot
Designing Statistical Language Learners: Experiments on Noun Compounds
Supervisory Control of Hybrid Power Plants Using Online Feedback Optimization: Designs and Validations with a Hybrid Co-Simulation Engine
Evaluating the Efficacy of Supervised Learning vs Large Language Models for Identifying Cognitive Distortions and Suicidal Risks in Chinese Social Media
One-shot Texture Segmentation
A Proposal for the Establishment of Review Boards - a flexible approach to the selection of academic knowledge
Collapsed speech segment detection and suppression for WaveNet vocoder
Ranking Methods for Skyline Queries
Active and Passive Causal Inference Learning
Quantum Microservices Development and Deployment
GREAT Process Modeller user manual
A network-constrained rolling transactive energy model for EV aggregators participating in balancing marke
Silent Self-Stabilising Leader Election in Programmable Matter Systems with Holes
Polynomial-Time Algorithms for Sliding Tokens on Cactus Graphs and Block Graphs
Predicting the evolution of complex networks via local information
Synthesis of Batik Motifs using a Diffusion - Generative Adversarial Network
Text-Only Training for Image Captioning with Retrieval Augmentation and Modality Gap Correction
Improved ASR for Under-Resourced Languages Through Multi-Task Learning with Acoustic Landmarks
Empirical Exploration of Zone-by-zone Energy Flexibility: a Non-intrusive Load Disaggregation Approach for Commercial Buildings
Emergent Collective Reproduction via Evolving Neuronal Flocks
Adaptive Graduated Non-Convexity for Pose Graph Optimization
Truly Concurrent Process Algebra to Unifying Quantum and Classical Computing
Imbalanced Gradients in RL Post-Training of Multi-Task LLMs
An Automated Retrieval-Augmented Generation LLaMA-4 109B-based System for Evaluating Radiotherapy Treatment Plans
Imitating Shortest Paths in Simulation Enables Effective Navigation and Manipulation in the Real World
Quantifying and Mitigating Privacy Risks for Tabular Generative Models
Semgrex and Ssurgeon, Searching and Manipulating Dependency Graphs
A Learning Assisted Method for Uncovering Power Grid Generation and Distribution System Vulnerabilities
Numerical investigation of stabilization in the Hybridizable Discontinuous Galerkin method for linear anisotropic elastic equation
Improved, Extended, and Total Impact Factor of a Journal
From Human Hands to Robot Arms: Manipulation Skills Transfer via Trajectory Alignment
Unsupervised Knowledge Adaptation for Passenger Demand Forecasting
Interact-RAG: Reason and Interact with the Corpus, Beyond Black-Box Retrieval
Robot Drummer: Learning Rhythmic Skills for Humanoid Drumming
On Coordinating Ultra-Dense Wireless Access Networks: Optimization Modeling, Algorithms and Insights
Video and Audio are Images: A Cross-Modal Mixer for Original Data on Video-Audio Retrieval
Proceedings of the Nineteenth Conference on Uncertainty in Artificial Intelligence (2003)
The Immersed Boundary Conformal Method for Kirchhoff-Love and Reissner-Mindlin shells
Metric Learning-enhanced Optimal Transport for Biochemical Regression Domain Adaptation
A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data Augmentation
What is a limit of structure-preserving numerical methods for compressible flows?
Solution of Real Cubic Equations without Cardano's Formula
Distributionally Robust Planning Considering Wake Effect in Wind Farms and Decision-Dependent Uncertainty
Next-Future: Sample-Efficient Policy Learning for Robotic-Arm Tasks
AquiLLM: a RAG Tool for Capturing Tacit Knowledge in Research Groups
Meaning guided video captioning
Application of Nash equilibrium for developing an optimal forest harvesting strategy in Toruń Forest District
Revisiting SIR in the age of COVID-19: Explicit Solutions and Control Problems
Using a new parsimonious AHP methodology combined with the Choquet integral: An application for evaluating social housing initiatives
On bounds for norms of reparameterized ReLU artificial neural network parameters: sums of fractional powers of the Lipschitz norm control the network parameter vector
Improving Functional Reliability of Near-Field Monitoring for Emergency Braking in Autonomous Vehicles
Stability in Abstract Argumentation
Hybrid Reward-Driven Reinforcement Learning for Efficient Quantum Circuit Synthesis
Steering Pretrained Drafters during Speculative Decoding
Low-cost Highly-interoperable Multiplatform Campus Network: Experience of YARSI University
DIAL-GS: Dynamic Instance Aware Reconstruction for Label-free Street Scenes with 4D Gaussian Splatting
Mean-field inference of Hawkes point processes
Swan: A Neural Engine for Efficient DNN Training on Smartphone SoCs
Multi-Modal Variable-Rate CSI Reconstruction for FDD Massive MIMO Systems
Hyper: Distributed Cloud Processing for Large-Scale Deep Learning Tasks
The Model of Semantic Concepts Lattice For Data Mining Of Microblogs
Dynamically handling task disruptions by composing together behavior modules
Analog Coding Frame-work
Accelerating SGDM via Learning Rate and Batch Size Schedules: A Lyapunov-Based Analysis
TopTrack: Tracking Objects By Their Top
From Real to Synthetic and Back: Synthesizing Training Data for Multi-Person Scene Understanding
Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for Continuous Control
Convex Approaches to Model Wavelet Sparsity Patterns
Pruning as a Defense: Reducing Memorization in Large Language Models
Multi-Task and Multi-Modal Learning for RGB Dynamic Gesture Recognition
Sparkle: Mastering Basic Spatial Capabilities in Vision Language Models Elicits Generalization to Composite Spatial Reasoning
COOLIO: A Language Support Extension for the Classroom Object Oriented Language
Predicting human-generated bitstreams using classical and quantum models
Optimization-Based Autonomous Racing of 1: 43 Scale RC Cars
Conditional Seq2Seq model for the time-dependent two-level system
LongRetriever: Towards Ultra-Long Sequence based Candidate Retrieval for Recommendation
Kernel manifolds: nonlinear-augmentation dimensionality reduction using reproducing kernel Hilbert spaces
GAEA: A Geolocation Aware Conversational Model
Queueing Analysis of Unicast IPTV With User Mobility and Adaptive Modulation and Coding in Wireless Cellular Networks
PUMA: Efficient Continual Graph Learning with Graph Condensation
Definition of Static and Dynamic Load Models for Grid Studies of Electric Vehicles Connected to Fast Charging Stations
A High-Order Perturbation of Envelopes (HOPE) Method for Vector Electromagnetic Scattering by Periodic Inhomogeneous Media
Combination of Measurement Data and Domain Knowledge for Simulation of Halbach Arrays with Bayesian Inference
Two-stream Collaborative Learning with Spatial-Temporal Attention for Video Classification
Modular Framework for Visuomotor Language Grounding
Scaling Robust Optimization for Swarms: A Distributed Perspective
Assessing the Usability of GutGPT: A Simulation Study of an AI Clinical Decision Support System for Gastrointestinal Bleeding Risk
Thread: A Logic-Based Data Organization Paradigm for How-To Question Answering with Retrieval Augmented Generation
Towards a Formal Model for Composable Container Systems
EVTAR: End-to-End Try on with Additional Unpaired Visual Reference
Image-Processing Based Methods to Improve the Robustness of Robotic Gripping
Computing With Words for Student Strategy Evaluation in an Examination
ChartAnchor: Chart Grounding with Structural-Semantic Fidelity
Memory Encoding Model
Enhanced Universal Dependency Parsing with Automated Concatenation of Embeddings
Challenges and Opportunities on Using Games to Support IoT Systems Teaching
Off-policy Reinforcement Learning with Optimistic Exploration and Distribution Correction
A Semi-Supervised Framework for Misinformation Detection
Intersection Types and (Positive) Almost-Sure Termination
Analytical Inverse For The Symmetric Circulant Tridiagonal Matrix
Wavelet Predictive Representations for Non-Stationary Reinforcement Learning
Multispectral Fine-Grained Classification of Blackgrass in Wheat and Barley Crops
Abstraction, Reasoning and Deep Learning: A Study of the "Look and Say" Sequence
Assessing the Role of Lexical Semantics in Cross-lingual Transfer through Controlled Manipulations
Multi-agent Cooperative Games Using Belief Map Assisted Training
Beyond the Central Limit Theorem: Universal and Non-universal Simulations of Random Variables by General Mappings
Pareto-Optimal Estimation and Policy Learning on Short-term and Long-term Treatment Effects
A Novel Approach for Effective Learning in Low Resourced Scenarios
Specimens as research objects: reconciliation across distributed repositories to enable metadata propagation
A Quorum Sensing Inspired Algorithm for Dynamic Clustering
Testing Most Influential Sets
BLNet: A Fast Deep Learning Framework for Low-Light Image Enhancement with Noise Removal and Color Restoration
Comparative Analysis of Deep Learning Models for Crop Disease Detection: A Transfer Learning Approach
Improved Approximation Algorithms for Stochastic-Matching Problems
Scene-Adaptive Motion Planning with Explicit Mixture of Experts and Interaction-Oriented Optimization
Crawling in Rogue's dungeons with (partitioned) A3C
Soft Robotic Mannequin: Design and Algorithm for Deformation Control
Partial Maximum Correntropy Regression for Robust Trajectory Decoding from Noisy Epidural Electrocorticographic Signals
Dual Pipeline Style Transfer with Input Distribution Differentiation
Mispronunciation Detection and Correction via Discrete Acoustic Units
Simpler Gradient Methods for Blind Super-Resolution with Lower Iteration Complexity
AdapNet: Adaptive Noise-Based Network for Low-Quality Image Retrieval
A review of metadata fields associated with podcast RSS feeds
Exploring Operational Flexibility of Active Distribution Networks with Low Observability
A Dynamic Approach to Collaborative Document Writing (Full Version)
Machine Learning model for gas-liquid interface reconstruction in CFD numerical simulations
AI-Driven Early Warning Systems for Student Success: Discovering Static Feature Dominance in Temporal Prediction Models
Last Iterate Convergence of Incremental Methods and Applications in Continual Learning
Spacetime Neural Network for High Dimensional Quantum Dynamics
Computation of Differential Chow Forms for Prime Differential Ideals
Lessons Learned: Reproducibility, Replicability, and When to Stop
SING3R-SLAM: Submap-based Indoor Monocular Gaussian SLAM with 3D Reconstruction Priors
Dealing with Subject Similarity in Differential Morphing Attack Detection
AutoSmart: An Efficient and Automatic Machine Learning framework for Temporal Relational Data
Analyzing and Improving Model Collapse in Rectified Flow Models
Robust visual-inertial SLAM: combination of EKF and optimization method
Music Recommendation Based on Audio Fingerprint
Getting nowhere fast: trade-off between speed and precision in training to execute image-guided hand-tool movements
An efficient algorithm for the Riemannian logarithm on the Stiefel manifold for a family of Riemannian metrics
Preconditioned Data Sparsification for Big Data with Applications to PCA and K-means
Three-term Method and Dual Estimate on Static Problems of Continuum Bodies
Rating Triggers for Collateral-Inclusive XVA via Machine Learning and SDEs on Lie Groups
Online Event Integration with StoryPivot
SPEEDY: An Eclipse-based IDE for invariant inference
Unlocking optimal batch size schedules using continuous-time control and perturbation theory
Revealing In-Block Nestedness: detection and benchmarking
TRUSTVIS: A Multi-Dimensional Trustworthiness Evaluation Framework for Large Language Models
A Dataset for Detecting Real-World Environmental Claims
CGD: Constraint-Guided Diffusion Policies for UAV Trajectory Planning
Producing a Unified Graph Representation from Multiple Social Network Views
Variance-reduced Q-learning is minimax optimal
Role of inflexible minorities in the evolution of alcohol consumption
Adversarial Deep Structured Nets for Mass Segmentation from Mammograms
Error estimates for the numerical approximation of a non-smooth quasilinear elliptic control problem
Explainable Depression Symptom Detection in Social Media
Subcycling of particle orbits in variational, geometric electromagnetic particle-in-cell methods
Transforming a random graph drawing into a Lombardi drawing
Heavily Augmented Sound Event Detection utilizing Weak Predictions
Core Services in the Architecture of the National Digital Library for Science Education (NSDL)
A New Method to Extract Dorsal Hand Vein Pattern using Quadratic Inference Function
EEG-based Drowsiness Estimation for Driving Safety using Deep Q-Learning
Stability analysis for the Implicit-Explicit discretization of the Cahn-Hilliard equation
QUBO transformation using Eigenvalue Decomposition
A note on Prüfer-like coding and counting forests of uniform hypertrees
Parallel Multiphysics Simulations of Charged Particles in Microfluidic Flows
Confidence Threshold Neural Diving
Transfer Learning for Endoscopic Image Classification
Dimension reduction for path signatures
Quantum differential cryptanalysis to the block ciphers
Document Structure aware Relational Graph Convolutional Networks for Ontology Population
Matlab program method of computing Carleman estimates and applications
Reduction of Event Structures under History Preserving Bisimulation
Bose-Einstein Condensation in Satisfiability Problems
COLT: Towards Completeness-Oriented Tool Retrieval for Large Language Models
Optimal Battery Energy Storage Placement for Transient Voltage Stability Enhancement
TRIM: Achieving Extreme Sparsity with Targeted Row-wise Iterative Metric-driven Pruning
Active Anomaly Detection via Ensembles: Insights, Algorithms, and Interpretability
Aerospace Sliding Mode Control Toolbox: Relative Degree Approach with Resource Prospector Lander and Launch Vehicle Case Studies
Signaling in sensor networks for sequential detection
Zero-Shot Detection
Proceedings 14th International Workshop Quantitative Aspects of Programming Languages and Systems, QAPL 2016, Eindhoven, The Netherlands, April 2-3, 2016
Aligning Generative Music AI with Human Preferences: Methods and Challenges
On the algorithm of best approximation by low rank matrices in the Chebyshev norm
Evaluating Metrics for Safety with LLM-as-Judges
Decentralized Clustering on Compressed Data without Prior Knowledge of the Number of Clusters
MCM-DPO: Multifaceted Cross-Modal Direct Preference Optimization for Alt-text Generation
Towards a generalizable simulation framework to study collisions between spacecraft and debris
On decomposition of tame polynomials and rational functions
Quantum Self-Attention Neural Networks for Text Classification
MML is not consistent for Neyman-Scott
Vevo2: Bridging Controllable Speech and Singing Voice Generation via Unified Prosody Learning
Joint Resource Allocation and Antenna Selection In the Uplink of OFDMA Networks
Perception Entropy: A Metric for Multiple Sensors Configuration Evaluation and Design
Improving Efficiency and Scalability of Formula-based Debugging
Optimizing Memory in Reservoir Computers
Machine Learning Trivializing Maps: A First Step Towards Understanding How Flow-Based Samplers Scale Up
Unwinding NFTs in the Shadow of IP Law
Lessons Learnt from Field Trials of a Robotic Sweet Pepper Harvester
Beer2Vec : Extracting Flavors from Reviews for Thirst-Quenching Recommandations
User software for the next generation
CONFLATOR: Incorporating Switching Point based Rotatory Positional Encodings for Code-Mixed Language Modeling
Systolic Computing on GPUs for Productive Performance
Answer-Centric or Reasoning-Driven? Uncovering the Latent Memory Anchor in LLMs
Modeling Earthen Dike Stability: Sensitivity Analysis and Automatic Calibration of Diffusivities Based on Live Sensor Data
Semigroup intersection problems in the Heisenberg groups
Quantum Time-Space Tradeoffs by Recording Queries
WarmFed: Federated Learning with Warm-Start for Globalization and Personalization Via Personalized Diffusion Models
CoRe Optimizer: An All-in-One Solution for Machine Learning
A Simulated Experiment to Explore Robotic Dialogue Strategies for People with Dementia
usBot: A Modular Robotic Testbed for Programmable Self-Assembly
α-HMM: A Graphical Model for RNA Folding
Building Data-Driven Occupation Taxonomies: A Bottom-Up Multi-Stage Approach via Semantic Clustering and Multi-Agent Collaboration
Generative Distribution Prediction: A Unified Approach to Multimodal Learning
Using Layout Information for Spreadsheet Visualization
Fine-tuning ChatGPT for Automatic Scoring
Optimizing Optimizations: Case Study on Detecting Specific Types of Mathematical Optimization Constraints with E-Graphs in JijModeling
A Price Selective Centralized Algorithm for Resource Allocation with Carrier Aggregation in LTE Cellular Networks
Error estimate of the nonuniform L1 type formula for the time fractional diffusion-wave equation
Constrained Optimization with Dynamic Bound-scaling for Effective NLPBackdoor Defense
Automatic end-to-end De-identification: Is high accuracy the only metric?
Structural Credit Assignment with Coordinated Exploration
Team MTS @ AutoMin 2021: An Overview of Existing Summarization Approaches and Comparison to Unsupervised Summarization Techniques
On the Sample Complexity of Representation Learning in Multi-task Bandits with Global and Local structure
Evaluation of basic modules for isolated spelling error correction in Polish texts
A Survey on LoRa Networking: Research Problems, Current Solutions and Open Issues
Security Assessment and Impact Analysis of Cyberattacks in Integrated T&D Power Systems
Deep Hamiltonian networks based on symplectic integrators
Configuration management in the distributed cloud
Securing Connected Vehicle Applications with an Efficient Dual Cyber-Physical Blockchain Framework
Emergency Caching: Coded Caching-based Reliable Map Transmission in Emergency Networks
Container: Context Aggregation Network
Integrated ensemble of BERT- and features-based models for authorship attribution in Japanese literary works
WrapNet: Neural Net Inference with Ultra-Low-Resolution Arithmetic
Casting the inverse problem as a database query. The case of personalized tumor growth modeling
Ask, Attend, Attack: A Effective Decision-Based Black-Box Targeted Attack for Image-to-Text Models
Automatically Detecting Online Deceptive Patterns in Real-time
Generating Memorable Images Based on Human Visual Memory Schemas
"Am I Private and If So, how Many?" - Using Risk Communication Formats for Making Differential Privacy Understandable
Designing Local Distributed Mechanisms
Khiops: An End-to-End, Frugal AutoML and XAI Machine Learning Solution for Large, Multi-Table Databases
Efficient Analog CAM Design
Sequential Task Assignment and Resource Allocation in V2X-Enabled Mobile Edge Computing
Decoupled Weight Decay for Any p Norm
Combining Deep Learning and Optimization for Security-Constrained Optimal Power Flow
Non-invasive multigrid for semi-structured grids
Measuring a moving target - Innovation studies in practice
Watermark Retrieval from 3D Printed Objects via Convolutional Neural Networks
AI Ethics and Governance in Practice: An Introduction
Practical Non-Invasive Probing Attacks Against Novel Carbon-Nanotube-Based Physical Unclonable Functions
Attention-based fusion of semantic boundary and non-boundary information to improve semantic segmentation
Convex Shape Representation with Binary Labels for Image Segmentation: Models and Fast Algorithms
Road Segmentation on low resolution Lidar point clouds for autonomous vehicles
Reservoir Computing Models for Patient-Adaptable ECG Monitoring in Wearable Devices
On Cycling Risk and Discomfort: Urban Safety Mapping and Bike Route Recommendations
Topographic Representation for Quantum Machine Learning
Imbalance in Balance: Online Concept Balancing in Generation Models
Can Diffusion Models Disentangle? A Theoretical Perspective
Are Existing Road Design Guidelines Suitable for Autonomous Vehicles?
Optimal Auctions with Convex Perceived Payments
Means and medians of sets of persistence diagrams
Deep Group-wise Variational Diffeomorphic Image Registration
Joint-ViVo: Selecting and Weighting Visual Words Jointly for Bag-of-Features based Tissue Classification in Medical Images
Adaptive Self-supervised Learning for Social Recommendations
Caveats in Generating Medical Imaging Labels from Radiology Reports
Cumulative Step-size Adaptation on Linear Functions
Heart Sound Segmentation Using Deep Learning Techniques
Discrete Wavelet Transform and Gradient Difference based approach for text localization in videos
Digital Twin for Non-Terrestrial Networks: Vision, Challenges, and Enabling Technologies
Throughput Performance of 2×2 Mimo LTE Downlink in a Spatial Correlation Based Microcellular Channel for Wireless Broadband Networks
An effective image copy-move forgery detection using entropy image
Topological Observations on Multiplicative Additive Linear Logic
Temporal social network modeling of mobile connectivity data with graph neural networks
Old is Gold: Optimizing Single-threaded Applications with Exgen-Malloc
Mitigating Hallucinations Using Ensemble of Knowledge Graph and Vector Store in Large Language Models to Enhance Mental Health Support
Monobit Digital Receivers for QPSK: Design, Analysis and Performance
How to Rent GPUs on a Budget
Bimanual In-hand Manipulation using Dual Limit Surfaces
Impact of Price Inflation on Algorithmic Collusion Through Reinforcement Learning Agents
An Experimentation Platform for Explainable Coalition Situational Understanding
Multi-Agent Deep Reinforcement Learning for Distributed Satellite Routing
Exploring Targeted Universal Adversarial Perturbations to End-to-end ASR Models
Prosocial or Selfish? Agents with different behaviors for Contract Negotiation using Reinforcement Learning
GTA1: GUI Test-time Scaling Agent
A Secure Semantic Communication System Based on Knowledge Graph