yusuke1997/dblp-id-title huggingface dataset:
A Bridge Anchored on Both Sides: Formal Deduction in Introductory CS, and Code Proofs in Discrete Math
Nepotistically Trained Generative-AI Models Collapse
A convergent stochastic scalar auxiliary variable method
Effective Sequential Classifier Training for Multitemporal Remote Sensing Image Classification
Provably Safe Stein Variational Clarity-Aware Informative Planning
A new proof of Delsarte, Goethals and Mac Williams theorem on minimal weight codewords of generalized Reed-Muller code
VEDA: 3D Molecular Generation via Variance-Exploding Diffusion with Annealing
MEVDT: Multi-Modal Event-Based Vehicle Detection and Tracking Dataset
Tru-POMDP: Task Planning Under Uncertainty via Tree of Hypotheses and Open-Ended POMDPs
Enhancing Supervised Visualization through Autoencoder and Random Forest Proximities for Out-of-Sample Extension
Counting Roots of Polynomials over Z/p 2 Z
Synthesis of Mathematical programs from Natural Language Specifications
Integrating Radiomics with Deep Learning Enhances Multiple Sclerosis Lesion Delineation
Singing voice phoneme segmentation by hierarchically inferring syllable and phoneme onset positions
Joint Load and Capacity Scheduling for Flexible Radio Resource Management of High-Throughput Satellites
A Probabilistic Inference Scaling Theory for LLM Self-Correction
Comprehensive Analysis of Network Robustness Evaluation Based on Convolutional Neural Networks with Spatial Pyramid Pooling
On Importance of Pruning and Distillation for Efficient Low Resource NLP
An Experimental Reservoir-Augmented Foundation Model: 6G O-RAN Case Study
On Human Robot Interaction using Multiple Modes
A Self-Adaptive IoT-based Approach for Improving the Decision Making of Active Surgical Robots in Hospitals
Fine-Grained Preference Optimization Improves Spatial Reasoning in VLMs
Approximation of Functions on Manifolds in High Dimension from Noisy Scattered Data
Deep Learning for Stock Selection Based on High Frequency Price-Volume Data
Automatic Query Image Disambiguation for Content-Based Image Retrieval
The use of e-portfolios in teaching and assessment
Autoverse: An Evolvable Game Langugage for Learning Robust Embodied Agents
Graph Isomorphism and the Lasserre Hierarchy
A Hybrid Approach for Secured Optimal Power Flow and Voltage Stability with TCSC Placement
FlowDA: Unsupervised Domain Adaptive Framework for Optical Flow Estimation
Bidirectional Quantum Controlled Teleportation by Using Five-qubit Entangled State as a Quantum Channel
Quantum Turing automata
Analyzing CLIP's Performance Limitations in Multi-Object Scenarios: A Controlled High-Resolution Study
Fault-Aware Design and Training to Enhance DNNs Reliability with Zero-Overhead
Joint Channel Estimation and Signal Detection for MIMO-OFDM: A Novel Data-Aided Approach with Reduced Computational Overhead
Resiliency Analysis and Improvement of Variational Quantum Factoring in Superconducting Qubit
Brain4Cars: Car That Knows Before You Do via Sensory-Fusion Deep Learning Architecture
Multi-Depot Multi-Trip Vehicle Routing with Total Completion Time Minimization
Non-planar 3D Printing of Double Shells
Nearest Neighbour Radial Basis Function Solvers for Deep Neural Networks
(Almost Full) EFX Exists for Four Agents (and Beyond)
HiDream-I1: A High-Efficient Image Generative Foundation Model with Sparse Diffusion Transformer
Embedded symmetric positive semi-definite machine-learned elements for reduced-order modeling in finite-element simulations with application to threaded fasteners
BugSweeper: Function-Level Detection of Smart Contract Vulnerabilities Using Graph Neural Networks
An Extension for Combination of Duty Constraints in Role-Based Access Control
An Auto-Parallelizer for Distributed Computing in Haskell
VEIGAR: View-consistent Explicit Inpainting and Geometry Alignment for 3D object Removal
On the State of Social Media Data for Mental Health Research
A Mean Field Games model for finite mixtures of Bernoulli distributions
Playing Lottery Tickets in Style Transfer Models
Specifying and Testing GPU Workgroup Progress Models
Mogao: An Omni Foundation Model for Interleaved Multi-Modal Generation
KGAN: How to Break The Minimax Game in GAN
Secure Process Algebra
Energy-Efficient Visual Search by Eye Movement and Low-Latency Spiking Neural Network
XenoFlow: How Fast Can a SmartNIC-Based DNS Load Balancer Run?
SnapMem: Snapshot-based 3D Scene Memory for Embodied Exploration and Reasoning
Set Unification
Graph Neural Networks for Heart Failure Prediction on an EHR-Based Patient Similarity Graph
Multilingual Event Linking to Wikidata
In Vitro Fertilization (IVF) Cumulative Pregnancy Rate Prediction from Basic Patient Characteristics
Distributed Variational Quantum Algorithm with Many-qubit for Optimization Challenges
Data Analysis Methods Preliminaries for a Photon-based Hardware Random Number Generator
Learning Occupancy Function from Point Clouds for Surface Reconstruction
Structure-aware Unsupervised Tagged-to-Cine MRI Synthesis with Self Disentanglement
COLO: A Contrastive Learning based Re-ranking Framework for One-Stage Summarization
Stochastic Optimal Power Flow with Network Reconfiguration: Congestion Management and Facilitating Grid Integration of Renewables
Accelerated Gradient Methods for Networked Optimization
Topology Aware Neural Interpolation of Scalar Fields
Fine-grained Multiple Supervisory Network for Multi-modal Manipulation Detecting and Grounding
On Adaptive Estimation for Dynamic Bernoulli Bandits
A Study on Web Application Vulnerabilities to find an optimal Security Architecture
Annotation-free Automatic Music Transcription with Scalable Synthetic Data and Adversarial Domain Confusion
Comparing Quantum Encoding Techniques
T 3 -S2S: Training-free Triplet Tuning for Sketch to Scene Generation
Parallel Iterated Extended and Sigma-point Kalman Smoothers
Why not? Developing ABox Abduction beyond Repairs
Rotate, Clip, and Partition: Towards W2A4KV4 Quantization by Integrating Rotation and Learnable Non-uniform Quantizer
A New Benchmark for Evaluating Code Translation with Third-Party Libraries
The Hitchiker's Guide to Successful Living Lab Operations
Deep-HR: Fast Heart Rate Estimation from Face Video Under Realistic Conditions
Topological Stability of Kinetic k-Centers
Rate Performance of Adaptive Link Selection in Buffer-Aided Cognitive Relay Networks
A Novel Hybrid Post-Weighting Digital Predistortion in mMIMO Under Crosstalk
Extremal Event Graphs: A (Stable) Tool for Analyzing Noisy Time Series Data
SRL-Assisted AFM: Generating Planar Unstructured Quadrilateral Meshes with Supervised and Reinforcement Learning-Assisted Advancing Front Method
Change Your Perspective, Widen Your Worldview! Societally Beneficial Perceptual Filter Bubbles in Personalized Reality
Cost-sensitive Learning of Deep Semantic Models for Sponsored Ad Retrieval
Matrix Lie Maps and Neural Networks for Solving Differential Equations
Modeling Endogenous Social Networks: the Example of Emergence and Stability of Cooperation without Refusal
On Logic-Based Explainability with Partially Specified Inputs
ScaleCall - Agentic Tool Calling at Scale for Fintech: Challenges, Methods, and Deployment Insights
Coloring connections with counting mountain-valley assignments
Inverse Cognitive Radar - A Revealed Preferences Approach
Randomized Self Organizing Map
Xmodel-LM Technical Report
The Devil is in the Statistics: Mitigating and Exploiting Statistics Difference for Generalizable Semi-supervised Medical Image Segmentation
YuruGAN: Yuru-Chara Mascot Generator Using Generative Adversarial Networks With Clustering Small Dataset
Do Internal Software Metrics Have Relationship with Fault-proneness and Change-proneness?
Stochastic Primal-Dual Methods and Sample Complexity of Reinforcement Learning
On graphs coverable by chubby shortest paths
Stability and Accuracy analysis of the θ Method and 3-Point Time filter
Convergence and Monotonicity Problems in an Information-Theoretic Law of Small Numbers
Blackbird language matrices (BLM), a new task for rule-like generalization in neural networks: Motivations and Formal Specifications
Private Data Valuation and Fair Payment in Data Marketplaces
Analyzing sequential activity and travel decisions with interpretable deep inverse reinforcement learning
Neural Approximate Dynamic Programming for the Ultra-fast Order Dispatching Problem
Scaling Attention to Very Long Sequences in Linear Time with Wavelet-Enhanced Random Spectral Attention (WERSA)
WristSketcher: Creating Dynamic Sketches in AR with a Sensing Wristband
Using the SLEUTH urban growth model to simulate the impacts of future policy scenarios on urban land use in the Tehran metropolitan area in Iran
A scalable directed graph model with reciprocal edges
Overcoming Distribution Shifts in Plug-and-Play Methods with Test-Time Training
Random load fluctuations and collapse probability of a power system operating near codimension 1 saddle-node bifurcation
GeoMVD: Geometry-Enhanced Multi-View Generation Model Based on Geometric Information Extraction
Understanding the Time to First Response In GitHub Pull Requests
Streamable Neural Audio Synthesis With Non-Causal Convolutions
Not only Look, but also Listen: Learning Multimodal Violence Detection under Weak Supervision
Watch the Watcher! Backdoor Attacks on Security-Enhancing Diffusion Models
Fine-tune Bert for DocRED with Two-step Process
Stabilizing dual-energy X-ray computed tomography reconstructions using patch-based regularization
Collaborative Learning From Distributed Data With Differentially Private Synthetic Twin Data
A Novel Data-Dependent Learning Paradigm for Large Hypothesis Classes
Structure Optimization for Deep Multimodal Fusion Networks using Graph-Induced Kernels
Development of Hybrid ASR Systems for Low Resource Medical Domain Conversational Telephone Speech
Anomaly detection and classification for streaming data using partial differential equations
The Importance of Continuous Value Based Project Management in the Context of Requirements Engineering
Reinforcement Learning for Credit Index Option Hedging
Reconsidering Fascicles in Soft Pneumatic Actuator Packs
Identification of Pediatric Respiratory Diseases Using Fine-grained Diagnosis System
Privacy Loss of Noisy Stochastic Gradient Descent Might Converge Even for Non-Convex Losses
Uncorrelated Feature Encoding for Faster Image Style Transfer
A Generic Framework for Clustering Vehicle Motion Trajectories
SUPER - A Framework for Sensitivity-based Uncertainty-aware Performance and Risk Assessment in Visual Inertial Odometry
Addressing Noise and Stochasticity in Fraud Detection for Service Networks
Frequency-Based Vulnerability Analysis of Deep Learning Models against Image Corruptions
Interpretable Style Takagi-Sugeno-Kang Fuzzy Clustering
Universality of high-dimensional scaling limits of stochastic gradient descent
GMM-IL: Image Classification using Incrementally Learnt, Independent Probabilistic Models for Small Sample Sizes
Label Propagation for Learning with Label Proportions
Mobile Agent as an Approach to Improve QoS in Vehicular Ad Hoc Network
HFT-ONLSTM: Hierarchical and Fine-Tuning Multi-label Text Classification
Paper2Web: Let's Make Your Paper Alive!
User Capacity of Pilot-Contaminated TDD Massive MIMO Systems
A Quadratic Control Framework for Dynamic Systems
No Regularization is Needed: An Efficient and Effective Model for Incomplete Label Distribution Learning
Time and Activity Sequence Prediction of Business Process Instances
Explicit, time-reversible and symplectic integrator for Hamiltonians in isotropic uniformly curved geometries
Black-box optimization for integer-variable problems using Ising machines and factorization machines
Exploring Softly Masked Language Modelling for Controllable Symbolic Music Generation
SuperGF: Unifying Local and Global Features for Visual Localization
ChunkKV: Semantic-Preserving KV Cache Compression for Efficient Long-Context LLM Inference
Massive Access in Beyond 5G IoT Networks with NOMA: NP-hardness, Competitiveness and Learning
Design of Maximum-Gain Dielectric Lens Antenna via Phase Center Analysis
Cycle-GAN for eye-tracking
Adaptive Differential Privacy Mechanism for Aggregated Mobility Dataset
Network fault costs based on minimum leaf spanning trees
ClauseLens: Clause-Grounded, CVaR-Constrained Reinforcement Learning for Trustworthy Reinsurance Pricing
Plug-and-play Diffusion Models for Image Compressive Sensing with Data Consistency Projection
A Flexible Machine Learning-Aware Architecture for Future WLANs
Unfolding the innovation system for the development of countries: co-evolution of Science, Technology and Production
Adaptive Windowing for ICI Mitigation in Doubly Selective Channels with Unknown Statistics
Approaching human 3D shape perception with neurally mappable models
Higher Accurate Recognition of Handwritten Pashto Letters through Zoning Feature by using K-Nearest Neighbour and Artificial Neural Network
On the growth rate of 1324-avoiding permutations
A Unified Representation of Density-Power-Based Divergences Reducible to M-Estimation
Workflow-Guided Response Generation for Task-Oriented Dialogue
Distributed Model Predictive Control of Spatially Decoupled Systems Using Switched Cost Functions
Diffusion in Zero-Shot Learning for Environmental Audio
Minimum Cut of Directed Planar Graphs in O(nloglogn) Time
An Interesting Structural Property Related to the Problem of Computing All the Best Swap Edges of a Tree Spanner in Unweighted Graphs
Adversarial Patches Exploiting Contextual Reasoning in Object Detection
SOPHON: Non-Fine-Tunable Learning to Restrain Task Transferability For Pre-trained Models
Runs in Paperfolding Sequences
Stein-based Optimization of Sampling Distributions in Model Predictive Path Integral Control
CanvasMAR: Improving Masked Autoregressive Video Generation With Canvas
Dynamical Models of Stock Prices Based on Technical Trading Rules Part II: Analysis of the Models
Wheel-Rail Interface Condition Estimation (W-RICE)
Sample Mixed-Based Data Augmentation for Domestic Audio Tagging
Cryptography. key exchange, public key
A Lightweight Fourier-based Network for Binaural Speech Enhancement with Spatial Cue Preservation
A Review of the GIC Blocker Placement Problem
Achieving Proportional Representation via Voting
Lower Bounds for k -Set Agreement in Fault-Prone Networks
On Optimal Turbo Decoding of Wideband MIMO-OFDM Systems Under Imperfect Channel State Information
Anisotropic Mesh Adaptation, the Method of Moving Asymptotes and the global p-norm Stress Constraint
Survey on Memory-Augmented Neural Networks: Cognitive Insights to AI Applications
Kemeny ranking is NP-hard for 2-dimensional Euclidean preferences
Categorizing Hirsch Index Variants
Automated segmentation on the entire cardiac cycle using a deep learning work-flow
Localization in Long-range Ultra Narrow Band IoT Networks using RSSI
V3rified: Revelation vs Non-Revelation Mechanisms for Decentralized Verifiable Computation
Fine-tuning Large Enterprise Language Models via Ontological Reasoning
Doubly Attentive Transformer Machine Translation
HGFormer: Topology-Aware Vision Transformer with HyperGraph Learning
Identifying Reasoning Flaws in Planning-Based RL Using Tree Explanations
Nearest-Neighbour-Induced Isolation Similarity and its Impact on Density-Based Clustering
Predicting long-term collective animal behavior with deep learning
Domain segmentation and adjustment for generalized zero-shot learning
Anxolotl, an Anxiety Companion App - Stress Detection
Deep Learning for Spectrum Prediction in Cognitive Radio Networks: State-of-the-Art, New Opportunities, and Challenges
Reasons, Challenges and Some Tools for Doing Reproducible Research in Transportation Research
A Soft-switched Fast Cell-to-Cell Voltage Equalizer for Electrochemical Energy Storage
Using Foundation Models to Detect Policy Violations with Minimal Supervision
Lung Disease Detection with Vision Transformers: A Comparative Study of Machine Learning Methods
CF-YOLO: Cross Fusion YOLO for Object Detection in Adverse Weather with a High-quality Real Snow Dataset
Convergence theory for two-level hybrid Schwarz preconditioners for high-frequency Helmholtz problems
AdCraft: An Advanced Reinforcement Learning Benchmark Environment for Search Engine Marketing Optimization
Feature Selection Based on Unique Relevant Information for Health Data
Adaptive Substring Extraction and Modified Local NBNN Scoring for Binary Feature-based Local Mobile Visual Search without False Positives
Optimal Chaining of Vehicle Plans with Time Windows
Patching Neural Barrier Functions Using Hamilton-Jacobi Reachability
CLUE: Concept-Level Uncertainty Estimation for Large Language Models
A Combination of Host Overloading Detection and Virtual Machine Selection in Cloud Server Consolidation based on Learning Method
LTLf and LDLf Monitoring: A Technical Report
Causal Bias Quantification for Continuous Treatment
Predictive Maintenance in Photovoltaic Plants with a Big Data Approach
Fluid Antenna System-assisted Physical Layer Secret Key Generation
Modeling Complex Disease Trajectories using Deep Generative Models with Semi-Supervised Latent Processes
A Random Matrix Analysis of In-context Memorization for Nonlinear Attention
Attention: Not Just Another Dataset for Patch-Correctness Checking
Clover: Regressive Lightweight Speculative Decoding with Sequential Knowledge
Decoupled Data Based Approach for Learning to Control Nonlinear Dynamical Systems
A generalized deep learning model for multi-disease Chest X-Ray diagnostics
From Brussels Effect to Gravity Assists: Understanding the Evolution of the GDPR-Inspired Personal Information Protection Law in China
Towards Net-Zero Carbon Emissions in Network AI for 6G and Beyond
GPR-OdomNet: Difference and Similarity-Driven Odometry Estimation Network for Ground Penetrating Radar-Based Localization
Edge coloring in unstructured CFD codes
Learning Logic Programs From Noisy Failures
A Rhetorical Analysis Approach to Natural Language Processing
Multi-Granularity Semantic Aware Graph Model for Reducing Position Bias in Emotion-Cause Pair Extraction
Conditional Flood Fill Method in Logic Synthesis
Unsupervised Learning of General-Purpose Embeddings for Code Changes
Stoic Conceptual Modeling Applied to Business Process Modeling Notation (BPMN)
LexNLP: Natural language processing and information extraction for legal and regulatory texts
Machine learning force-field model for kinetic Monte Carlo simulations of itinerant Ising magnets
WASEF: Web Acceleration Solutions Evaluation Framework
FermiNets: Learning generative machines to generate efficient neural networks via generative synthesis
THÖR: Human-Robot Indoor Navigation Experiment and Accurate Motion Trajectories Dataset
Urban Sound Classification : striving towards a fair comparison
α-LoRA: Effective Fine-Tuning via Base Model Rescaling
Reconstructing Rational Functions with FireFly
Adaptive, Distribution-Free Prediction Intervals for Deep Neural Networks
Deep Learning Framework with Multi-Head Dilated Encoders for Enhanced Segmentation of Cervical Cancer on Multiparametric Magnetic Resonance Imaging
Graph Neural Networks with Motif-aware for Tenuous Subgraph Finding
Interacting Behavior and Emerging Complexity
Rank-one Convexification for Sparse Regression
Envisioning the Future Role of 3D Wireless Networks in Preventing and Managing Disasters and Emergency Situations
Time series forecasting: model evaluation and selection using nonparametric risk bounds
Mean and variance estimation by kriging
A generative neural network model for random dot product graphs
SpeechT5: Unified-Modal Encoder-Decoder Pre-training for Spoken Language Processing
Will Break for Productivity: Generalized Symptoms of Cognitive Depletion
On 120-avoiding inversion and ascent sequences
Electric Arc Furnaces Scheduling under Electricity Price Volatility with Reinforcement Learning
User's Reaction Patterns in Online Social Network Communities
Hydra: Dual Exponentiated Memory for Multivariate Time Series Analysis
Numerical schemes for reconstructing profiles of moving sources in (time-fractional) evolution equations
Real Customization or Just Marketing: Are Customized Versions of Chat GPT Useful?
Relational Operations in FOLE
A Foundation Model for the Solar Dynamics Observatory
Interpretable and Transferable Models to Understand the Impact of Lockdown Measures on Local Air Quality
Gaussian Process Latent Variable Model Factorization for Context-aware Recommender Systems
Pursuit on a Graph under Partial Information from Sensors
The tractability frontier of well-designed SPARQL queries
Performance Trade-offs of High Order Meshless Approximation on Distributed Memory Systems
Deep Convolutional Neural Networks for Anomaly Event Classification on Distributed Systems
On the Structure of Compatible Rational Functions
Benchmarking the True Random Number Generator of TPM Chips
Exo2Ego: Exocentric Knowledge Guided MLLM for Egocentric Video Understanding
Interpretable Robotic Manipulation from Language
Sparse Linear Precoders for Mitigating Nonlinearities in Massive MIMO
Accelerating Training Speed of Tiny Recursive Models via Curriculum Guided Adaptive Recursion
Detecting Cadastral Boundary from Satellite Images Using U-Net model
Comparison of multi-task convolutional neural network (MT-CNN) and a few other methods for toxicity prediction
SPOOK: A System for Probabilistic Object-Oriented Knowledge Representation
An Actionability Assessment Tool for Explainable AI
Detecting music deepfakes is easy but actually hard
Explicit Feedbacks Meet with Implicit Feedbacks : A Combined Approach for Recommendation System
Provably Secure Isolation for Interruptible Enclaved Execution on Small Microprocessors: Extended Version
Deciding what to display: maximizing the information value of social media
Nash equilibrium of multi-agent graphical game with a privacy information encrypted learning algorithm
Stochastic modelling of symmetric positive-definite material tensors
Environmental benefits of enhanced surveillance technology on airport departure operations
Cliques in projective space and construction of Cyclic Grassmannian Codes
FusionAI: Decentralized Training and Deploying LLMs with Massive Consumer-Level GPUs
Underwater Image Quality Assessment: A Perceptual Framework Guided by Physical Imaging
FOOD: Facial Authentication and Out-of-Distribution Detection with Short-Range FMCW Radar
A Streaming Sparse Cholesky Method for Derivative-Informed Gaussian Process Surrogates Within Digital Twin Applications
Boosting k-NN for categorization of natural scenes
T-Visor: A Hypervisor for Mixed Criticality Embedded Real-time System with Hardware Virtualization Support
Maximizing Non-Monotone DR-Submodular Functions with Cardinality Constraints
Input-Output Data-Driven Representation: Non-Minimality and Stability
The QIC-Index: A Novel, Data-Centric Metric for Quantifying the Impact of Research Data Sharing
Multi-dimensional Type Theory: Rules, Categories, and Combinators for Syntax and Semantics
GUI-Bee: Align GUI Action Grounding to Novel Environments via Autonomous Exploration
An Hybrid Method for the Estimation of the Breast Mechanical Parameters
The DigitalTwin from an Artificial Intelligence Perspective
GeoT: Tensor Centric Library for Graph Neural Network via Efficient Segment Reduction on GPU
Learning thresholds lead to stable language coexistence
Localizing and Mitigating Memorization in Image Autoregressive Models
Robust Beamforming with Pilot Reuse Scheduling in a Heterogeneous Cloud Radio Access Network
Disentangling Alzheimer's disease neurodegeneration from typical brain aging using machine learning
Generative AI Meets 6G and Beyond: Diffusion Models for Semantic Communications
On the dynamical interplay between awareness and epidemic spreading in multiplex networks
MNER-QG: An End-to-End MRC framework for Multimodal Named Entity Recognition with Query Grounding
Individual decision making in task-oriented groups
Quality Assessment of Linked Datasets using Probabilistic Approximation
Two questions of Erdős on hypergraphs above the Turán threshold
Channels as Objects in Concurrent Object-Oriented Programming
Unbiased Implicit Feedback via Bi-level Optimization
PepEVOLVE: Position-Aware Dynamic Peptide Optimization via Group-Relative Advantage