yusuke1997/dblp-id-title huggingface dataset:
Conforming virtual element method for nondivergence form linear elliptic equations with Cordes coefficients
How Should the Law Treat Future AI Systems? Fictional Legal Personhood versus Legal Identity
Cache-aided General Linear Function Retrieval
Analog CMOS-based Resistive Processing Unit for Deep Neural Network Training
End-to-End Joint Learning of Natural Language Understanding and Dialogue Manager
A Formulation of the Potential for Communication Condition using C2KA
Applied Logic in Engineering
Generating Visually Realistic Adversarial Patch
DIRESA, a distance-preserving nonlinear dimension reduction technique based on regularized autoencoders
On the Convergence of Policy Gradient in Robust MDPs
Overcoming the Mental Set Effect in Programming Problem Solving
A Multimodal Architecture for Endpoint Position Prediction in Team-based Multiplayer Games
Scalable Intelligence-Enabled Networking with Traffic Engineering in 5G Scenarios for Future Audio-Visual-Tactile Internet
Global preferential consistency for the topological sorting-based maximal spanning tree problem
Adaptively Directional Wireless Power Transfer for Large-scale Sensor Networks
Near-optimal Binary Compressed Sensing Matrix
Detecting Emotion Primitives from Speech and their use in discerning Categorical Emotions
Bit-complexity estimates in geometric programming, and application to the polynomial-time computation of the spectral radius of nonnegative tensors
Adaptive Smoothing Path Integral Control
Egocentric Visual Navigation through Hippocampal Sequences
Capturing Detailed Deformations of Moving Human Bodies
LoAS: Fully Temporal-Parallel Datatflow for Dual-Sparse Spiking Neural Networks
Close Clustering Based Automated Color Image Annotation
Coevolution in the model of social interactions: getting closer to real-world networks
Suri: Multi-constraint Instruction Following for Long-form Text Generation
Using satellites and artificial intelligence to measure health and material-living standards in India
CovXR: Automated Detection of COVID-19 Pneumonia in Chest X-Rays through Machine Learning
Leveraging Domain Knowledge using Machine Learning for Image Compression in Internet-of-Things
Agentic AI Framework for Individuals with Disabilities and Neurodivergence: A Multi-Agent System for Healthy Eating, Daily Routines, and Inclusive Well-Being
Sample-efficient Adversarial Imitation Learning from Observation
Arithmetic crosscorrelation of binary m-sequences with coprime periods
The iisignature library: efficient calculation of iterated-integral signatures and log signatures
NeuroNURBS: Learning Efficient Surface Representations for 3D Solids
Embracing assay heterogeneity with neural processes for markedly improved bioactivity predictions
Gbps User Rates Using mmWave Relayed Backhaul with High Gain Antennas
Feature Selection with Distance Correlation
Dual Utilization of Perturbation for Stream Data Publication under Local Differential Privacy
Omnidirectional Image Quality Captioning: A Large-scale Database and A New Model
Robust, Secure and Private Bayesian Inference
Identifying Hamiltonian manifold in neural networks
Hierarchical off-diagonal low-rank approximation of Hessians in inverse problems, with application to ice sheet model initializaiton
Workflow for Safe-AI
Portable GPU implementation of the WP-CCC ion-atom collisions code
Multi3WOZ: A Multilingual, Multi-Domain, Multi-Parallel Dataset for Training and Evaluating Culturally Adapted Task-Oriented Dialog Systems
Weakly Supervised Object Detection with Pointwise Mutual Information
Corpus based Enrichment of GermaNet Verb Frames
$k$-Distinct In- and Out-Branchings in Digraphs
MedEdit: Model Editing for Medical Question Answering with External Knowledge Bases
Combining a Meta-Policy and Monte-Carlo Planning for Scalable Type-Based Reasoning in Partially Observable Environments
Model order reduction of thermo-mechanical models with parametric convective boundary conditions: focus on machine tool
A generic and density-sensitive method for multi-scale pedestrian dynamics
Reverse Compute and Forward: A Low-Complexity Architecture for Downlink Distributed Antenna Systems
Rigorous Guarantees for Tyler's M-estimator via quantum expansion
A Note on Rounding Matchings in General Graphs
An energy-stable minimal deformation rate scheme for mean curvature flow and surface diffusion
Understanding and Mitigating Multi-Sided Exposure Bias in Recommender Systems
Superposition as memory: unlocking quantum automatic complexity
An explainable model to support the decision about the therapy protocol for AML
Dual-View Inference Attack: Machine Unlearning Amplifies Privacy Exposure
Instance-Optimality in the Noisy Value-and Comparison-Model - Accept, Accept, Strong Accept: Which Papers get in?
AI Load Dynamics-A Power Electronics Perspective
A Multi-Phase Dual-PINN Framework: Soft Boundary-Interior Specialization via Distance-Weighted Priors
A Note On One Realization of a Scalable Shor Algorithm
Towards Intention Prediction for Handheld Robots: a Case of Simulated Block Copying
One Step to Efficient Synthetic Data
Liquid Structures: a novel Computational Fluid Dynamics (CFD) inspired metamaterial
Leaning Time-Varying Instruments for Identifying Causal Effects in Time-Series Data
On Requirements for Programming Exercises from an E-learning Perspective
A cable finite element formulation based on exact tension field for static nonlinear analysis of cable structures
Adaptive Distribution-aware Quantization for Mixed-Precision Neural Networks
DDoS Attacks with Randomized Traffic Innovation: Botnet Identification Challenges and Strategies
Auditing Recommender Systems - Putting the DSA into practice with a risk-scenario-based approach
LaboRecommender: A crazy-easy to use Python-based recommender system for laboratory tests
Advancing Deformable Medical Image Registration with Multi-axis Cross-covariance Attention
AI Horizon Scanning - White Paper p3395, IEEE-SA. Part III: Technology Watch: a selection of key developments, emerging technologies, and industry trends in Artificial Intelligence
Spatio-temporal Action Recognition: A Survey
Evaluation is All You Need: Strategic Overclaiming of LLM Reasoning Capabilities Through Evaluation Design
Performance Analysis of Demand-Oblivious and Demand-Aware Optical Datacenter Network Designs
SzCORE as a benchmark: report from the seizure detection challenge at the 2025 AI in Epilepsy and Neurological Disorders Conference
Optimal Transcoding Preset Selection for Live Video Streaming
An AUTOSAR-Aligned Architectural Study of Vulnerabilities in Automotive SoC Software
Look, Zoom, Understand: The Robotic Eyeball for Embodied Perception
Tuning In to Neural Encoding: Linking Human Brain and Artificial Supervised Representations of Language
GDL-DS: A Benchmark for Geometric Deep Learning under Distribution Shifts
Overlap Frequency Domain Equalization for Faster-than-Nyquist Signaling
Co-Designing Multi-Packet Reception, Network Coding, and MAC Using a Simple Predictive Model
Learning from a Generative AI Predecessor - The Many Motivations for Interacting with Conversational Agents
Identifying Nonstationary Causal Structures with High-Order Markov Switching Models
On Negative Transfer and Structure of Latent Functions in Multi-output Gaussian Processes
US-Singapore cooperation on tech and security: defense, cyber, and biotech
Efficient Graph Laplacian Estimation by a Proximal Newton Approach
Look at here : Utilizing supervision to attend subtle key regions
A two-stage model for factors influencing citation counts
Towards Self-Explainability of Deep Neural Networks with Heatmap Captioning and Large-Language Models
Length-Controlled Margin-Based Preference Optimization without Reference Model
SFP: Real-World Scene Recovery Using Spatial and Frequency Priors
Signal power and energy-per-bit optimization problems in systems mMTC
Does Interpretability of Neural Networks Imply Adversarial Robustness?
Explainable Deep Learning for Uncovering Actionable Scientific Insights for Materials Discovery and Design
Expectation propagation: a probabilistic view of Deep Feed Forward Networks
A novel fast short-time root music method for vibration monitoring of high-speed spindles
COEFF-KANs: A Paradigm to Address the Electrolyte Field with KANs
MCMComm: Hardware-Software Co-Optimization for End-to-End Communication in Multi-Chip-Modules
New random projections for isotropic kernels using stable spectral distributions
Leveraging traditional ecological knowledge in ecosystem restoration projects utilizing machine learning
Reliable Model Compression via Label-Preservation-Aware Loss Functions
What do Shannon-type inequalities, submodular width, and disjunctive datalog have to do with one another?
Fast minimum-weight double-tree shortcutting for Metric TSP: Is the best one good enough?
Ensemble neuroevolution based approach for multivariate time series anomaly detection
Radio-based Multi-Robot Odometry and Relative Localization
A robust monolithic solver for phase-field fracture integrated with fracture energy based arc-length method and under-relaxation
On the Evaluation of Generative Models in Distributed Learning Tasks
PISA: An AI Pipeline for Interpretable-by-design Survival Analysis Providing Multiple Complexity-Accuracy Trade-off Models
An Innovative, Open, Interoperable Citizen Engagement Cloud Platform for Smart Government and Users' Interaction
From Physics to Machine Learning and Back: Part II - Learning and Observational Bias in PHM
Conducting Credit Assignment by Aligning Local Representations
Subspace Approximation for Approximate Nearest Neighbor Search in NLP
Some new properties of the PamPa scheme
Unit Commitment Predictor With a Performance Guarantee: A Support Vector Machine Classifier
Solving Bongard Problems with a Visual Language and Pragmatic Reasoning
Security and Privacy in Vehicular Social Networks
DiffusionRIR: Room Impulse Response Interpolation using Diffusion Models
NeuralQP: A General Hypergraph-based Optimization Framework for Large-scale QCQPs
SMAGDi: Socratic Multi Agent Interaction Graph Distillation for Efficient High Accuracy Reasoning
Triplet Knowledge Distillation
Physics-Informed Tailored Finite Point Operator Network for Parametric Interface Problems
Projections for infinitary rewriting
Latent Graph Diffusion: A Unified Framework for Generation and Prediction on Graphs
Improved Sparsity Thresholds Through Dictionary Splitting
Allocating Large Vocabulary Capacity for Cross-lingual Language Model Pre-training
High-dimensional Bayesian Optimization Algorithm with Recurrent Neural Network for Disease Control Models in Time Series
Customizing Static Analysis using Codesearch
σ-self-orthogonal constacyclic codes of length p s over F p m +uF p m
VisualToolAgent (VisTA): A Reinforcement Learning Framework for Visual Tool Selection
Improved Lower Bound on the Number of Pseudoline Arrangements
Automatic speech recognition for the Nepali language using CNN, bidirectional LSTM and ResNet
Supervised Online Hashing via Similarity Distribution Learning
Deep Learning for Lip Reading using Audio-Visual Information for Urdu Language
Embedding Lithium-ion Battery Scrapping Criterion and Degradation Model in Optimal Operation of Peak-shaving Energy Storage
Directed Subset Feedback Vertex Set is Fixed-Parameter Tractable
A general alternating-direction implicit framework with Gaussian process regression parameter prediction for large sparse linear systems
Retracing and assessing the CEP project
Active Visual Localization in Partially Calibrated Environments
LiMIIRL: Lightweight Multiple-Intent Inverse Reinforcement Learning
Efficient Approximation Algorithms for Minimum Enclosing Convex Shapes
Please Translate Again: Two Simple Experiments on Whether Human-Like Reasoning Helps Translation
Chemical-protein Interaction Extraction via Gaussian Probability Distribution and External Biomedical Knowledge
EEP-3DQA: Efficient and Effective Projection-based 3D Model Quality Assessment
FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation
Caching with rental cost and nuking
Can Large Language Models Match the Conclusions of Systematic Reviews?
A view of canonical extension
Using Deep Learning for Segmentation and Counting within Microscopy Data
Operating Dynamic Reserve Dimensioning Using Probabilistic Forecasts
Downstream Model Design of Pre-trained Language Model for Relation Extraction Task
Overcoming Latency Bottlenecks in On-Device Speech Translation: A Cascaded Approach with Alignment-Based Streaming MT
CSI-Bench: A Large-Scale In-the-Wild Dataset for Multi-task WiFi Sensing
From RAG to Agentic: Validating Islamic-Medicine Responses with LLM Agents
Spatiotemporal Information Processing with a Reservoir Decision-making Network
Spatiotemporal Modeling of Multivariate Signals With Graph Neural Networks and Structured State Space Models
Playing with blocks: Toward re-usable deep learning models for side-channel profiled attacks
A high order, block finite difference, error inhibiting scheme for the transport equation
A note on decidability of cellularity
Neural network controllers for uncertain linear systems
Generating Handwriting via Decouple Style Descriptors
Open Source Software Field Research: Spanning Social and Practice Networks for Re-Entering the Field
A Proposal-based Approach for Activity Image-to-Video Retrieval
DART2: a robust multiple testing method to smartly leverage helpful or misleading ancillary information
Massively Multi-Person 3D Human Motion Forecasting with Scene Context
PoxVerifi: An Information Verification System to Combat Monkeypox Misinformation
Logic and Computation Through the Lens of Semirings
Optimal Latency-Oriented Scheduling in Parallel Queuing Systems
From finite state automata to tangle cobordisms: a TQFT journey from one to four dimensions
Proceedings Third International Workshop on Linearity, LINEARITY 2014, Vienna, Austria, 13th July, 2014
Latency Minimization for Multiuser Computation Offloading in Fog-Radio Access Networks
Affine Parameter-Dependent Lyapunov Functions for LPV Systems with Affine Dependence
Harnessing spatial MRI normalization: patch individual filter layers for CNNs
An Analytical Latency Model and Evaluation of the Capacity of 5G NR to Support V2X Services using V2N2V Communications
Semantic API Alignment: Linking High-level User Goals to APIs
Pointwise A Posteriori Error Estimators for Multiple and Clustered Eigenvalue Computations
PDFA Distillation via String Probability Queries
Generalization Bounds for Learning with Linear, Polygonal, Quadratic and Conic Side Knowledge
CORAL: Disentangling Latent Representations in Long-Tailed Diffusion
An Approach to Forgetting in Disjunctive Logic Programs that Preserves Strong Equivalence
Enhancing Canine Musculoskeletal Diagnoses: Leveraging Synthetic Image Data for Pre-Training AI-Models on Visual Documentations
Composable Security of Distributed Symmetric Key Exchange Protocol
Controllability and Fraction of Leaders in Infinite Network
AI forecasting of higher-order wave modes of spinning binary black hole mergers
Distributed Mapper
Multi-hop RIS-Empowered Terahertz Communications: A DRL-based Hybrid Beamforming Design
Demystifying the Effect of Receptive Field Size in U-Net Models for Medical Image Segmentation
An Exploratory Study on the Repeatedly Shared External Links on Stack Overflow
Are Pixel-Wise Metrics Reliable for Sparse-View Computed Tomography Reconstruction?
Density Controlled Divide-and-Rule Scheme for Energy Efficient Routing in Wireless Sensor Networks
Laplacian Analysis Meets Dynamics Modelling: Gaussian Splatting for 4D Reconstruction
Chu-ko-nu: A Reliable, Efficient, and Anonymously Authentication-Enabled Realization for Multi-Round Secure Aggregation in Federated Learning
StocHy: automated verification and synthesis of stochastic processes
3D reconstruction using Structure for Motion
Exploring social bots: A feature-based approach to improve bot detection in social networks
Building design in tropical climates. Elaboration of the ECODOM standard in the french tropical islands
Statistical Learning Theory for Control: A Finite Sample Perspective
EpiTESTER: Testing Autonomous Vehicles with Epigenetic Algorithm and Attention Mechanism
Finding the Bandit in a Graph: Sequential Search-and-Stop
Preserving Semantic Consistency in Unsupervised Domain Adaptation Using Generative Adversarial Networks
Low-Complex Channel Estimation in Extra-Large Scale MIMO with the Spherical Wave Properties
RISK: A Framework for GUI Agents in E-commerce Risk Management
One-bit mmWave MIMO Channel Estimation using Deep Generative Networks
The World According to LLMs: How Geographic Origin Influences LLMs' Entity Deduction Capabilities
A Mechanism for Participatory Budgeting With Funding Constraints and Project Interactions
Deep Reinforcement Learning meets Graph Neural Networks: An optical network routing use case
PillarTrack: Redesigning Pillar-based Transformer Network for Single Object Tracking on Point Clouds
Deficiency of Large Language Models in Finance: An Empirical Examination of Hallucination
Wet Paper Coding for Watermarking of Binary Images
A Tale of Two Turing Machines
Greedy Bandits with Sampled Context
Stealth UAV through Coanda Effect
Nonrigid Reconstruction of Freehand Ultrasound without a Tracker
Unlabeled Data Deployment for Classification of Diabetic Retinopathy Images Using Knowledge Transfer
Science and Facebook: the same popularity law!
Over-representation of phonological features in basic vocabulary doesn't replicate when controlling for spatial and phylogenetic effects
Checkpoint Merging via Bayesian Optimization in LLM Pretraining
Multiscale modeling of blood circulation with cerebral autoregulation and network pathway analysis for hemodynamic redistribution in the vascular network with anatomical variations and stenosis conditions
GCM-Net: Graph-enhanced Cross-Modal Infusion with a Metaheuristic-Driven Network for Video Sentiment and Emotion Analysis
Large Language Models (LLMs): Deployment, Tokenomics and Sustainability
Continuous Unsupervised Domain Adaptation Using Stabilized Representations and Experience Replay
Dynamical Programming for off-the-grid dynamic Inverse Problems
Crimson: Empowering Strategic Reasoning in Cybersecurity through Large Language Models
Architecture for Simulating Behavior Mode Changes in Norm-Aware Autonomous Agents
Asymptotic Seed Bias in Respondent-driven Sampling
Estimation of fuzzy anomalies in Water Distribution Systems
Towards Reduced Reference Parametric Models for Estimating Audiovisual Quality in Multimedia Services
RMS-FlowNet++: Efficient and Robust Multi-Scale Scene Flow Estimation for Large-Scale Point Clouds
Decoupling Pronunciation and Language for End-to-end Code-switching Automatic Speech Recognition
TIP and Polish: Text-Image-Prototype Guided Multi-Modal Generation via Commonality-Discrepancy Modeling and Refinement
Binary Weight Multi-Bit Activation Quantization for Compute-in-Memory CNN Accelerators
Teach LLMs to Personalize - An Approach inspired by Writing Education
Practical applications of Set Shaping Theory in Huffman coding
Probing the Information Encoded in x-vectors
A Multi-UAV System for Exploration and Target Finding in Cluttered and GPS-Denied Environments
Analysis of the Human-Computer Interaction on the Example of Image-based CAPTCHA by Association Rule Mining
Group decision making based on multi-granular distribution linguistic assessments and power aggregation operators
Data Sampling Affects the Complexity of Online SGD over Dependent Data
Context-based Image Segment Labeling (CBISL)
Energy Harvesting Enabled MIMO Relaying through PS
Towards Granularity-adjusted Pixel-level Semantic Annotation
OEI: Operation Execution Integrity for Embedded Devices
Artful Path to Healing: Using Machine Learning for Visual Art Recommendation to Prevent and Reduce Post-Intensive Care
Enhancing Autism Spectrum Disorder Early Detection with the Parent-Child Dyads Block-Play Protocol and an Attention-enhanced GCN-xLSTM Hybrid Deep Learning Framework
DISCO - An HPSG-based NLP System and its Application for Appointment Scheduling (Project Note)
A parsimonious approach to C 2 cubic splines on arbitrary triangulations: Reduced macro-elements on the cubic Wang-Shi split
The Semantics of Kalah Game
Deep Learning for Skeleton Based Human Motion Rehabilitation Assessment: A Benchmark
Understanding Reward Ambiguity Through Optimal Transport Theory in Inverse Reinforcement Learning
Through the Lens of Doubt: Robust and Efficient Uncertainty Estimation for Visual Place Recognition
Content and Quality Analysis of Parent-Facing Applications for Feeding Children with Autism Spectrum Disorder
Fusion-Based Neural Generalization for Predicting Temperature Fields in Industrial PET Preform Heating
Neural Time Warping For Multiple Sequence Alignment
A Unified Industrial Large Knowledge Model Framework in Smart Manufacturing
Space-time deep neural network approximations for high-dimensional partial differential equations
Skip prediction using boosting trees based on acoustic features of tracks in sessions
Simulating Mass-Dependent Decoherence in Quantum Computers: Baseline Signatures for Testing Gravity-Induced Collapse
Interpolated Adversarial Training: Achieving Robust Neural Networks without Sacrificing Accuracy
Zen: LSTM-based generation of individual spatiotemporal cellular traffic with interactions
Federated In-Context LLM Agent Learning
Joint Large Deviation principle for empirical measures of the d-regular random graphs
Computational complexity of covering regular trees
Developing Autonomic Properties for Distributed Pattern-Recognition Systems with ASSL: A Distributed MARF Case Study
Information flow in multilayer perceptrons: an in-depth analysis
An Entropy-based Measure of Intelligence Degree of System Structures
MUIT: A Middleware for Adaptive Mobile Web-based User Interfaces in WS-BPEL
Segregated FLS Processing Cores for V/STOL Autonomous Landing Guidance Assistant System using FPGA
Human-Object Interaction Prediction in Videos through Gaze Following
Tokens with Meaning: A Hybrid Tokenization Approach for NLP
All-at-once formulation meets the Bayesian approach: A study of two prototypical linear inverse problems
Deep discriminant analysis for task-dependent compact network search
An Analysis of the Semantic Annotation Task on the Linked Data Cloud
Incorporating planning intelligence into deep learning: A planning support tool for street network design
A relationship and not a thing: A relational approach to algorithmic accountability and assessment documentation
On the status of current quantum machine learning software
UniEntrezDB: Large-scale Gene Ontology Annotation Dataset and Evaluation Benchmarks with Unified Entrez Gene Identifiers
Using Large Pre-Trained Language Model to Assist FDA in Premarket Medical Device
Ordinal Motifs in Lattices
Generative Unfolding with Distribution Mapping
Autonomous Learning From Success and Failure: Goal-Conditioned Supervised Learning with Negative Feedback
Fast, Accurate and Interpretable Graph Classification with Topological Kernels
Micro-macro kinetic flux-vector splitting schemes for the multidimensional Boltzmann-ES-BGK equation
A stabilized cut discontinuous Galerkin framework: I. Elliptic boundary value and interface problems
Fuzzy Clustering Data Given on the Ordinal Scale Based on Membership and Likelihood Functions Sharing
Binary Matrix Factorisation and Completion via Integer Programming
Automatic Discovery of One Parameter Subgroups of SO(n)
Compressive optical interferometry
Human-Multirobot Collaborative Mobile Manipulation: the Omnid Mocobots
Recent advances for quantum classifiers
Understanding Text-driven Motion Synthesis with Keyframe Collaboration via Diffusion Models
An Experimental Study of Real-Life LLM-Proposed Performance Improvements
Split decomposition and graph-labelled trees: characterizations and fully-dynamic algorithms for totally decomposable graphs
Global synchronization of multi-agent systems with nonlinear interactions
Kudu: An Efficient and Scalable Distributed Graph Pattern Mining Engine
Noise Consistency Training: A Native Approach for One-Step Generator in Learning Additional Controls
Blind Analysis of CT Image Noise Using Residual Denoised Images
Training Vision Transformers with Only 2040 Images