yusuke1997/dblp-id-title huggingface dataset:
SSthreshless Start: A Sender-Side TCP Intelligence for Long Fat Network
SAR-NeRF: Neural Radiance Fields for Synthetic Aperture Radar Multi-View Representation
Interconnection of Communities of Practice: A Web Platform for Knowledge Management
House Price Prediction Based On Deep Learning
Deep Reinforcement Learning Graphs: Feedback Motion Planning via Neural Lyapunov Verification
MiniMol: A Parameter-Efficient Foundation Model for Molecular Learning
Training-free Guidance in Text-to-Video Generation via Multimodal Planning and Structured Noise Initialization
E2F-Net: Eyes-to-Face Inpainting via StyleGAN Latent Space
An integration of Euler's pentagonal partition
Towards Efficient Connected and Automated Driving System via Multi-agent Graph Reinforcement Learning
Physics Informed Neural Network Estimated Circuit Parameter Adaptive Modulation of DAB
Hierarchical Implicit Neural Emulators
How to Make a Digital Currency on a Blockchain Stable
Second order convergence of a modified MAC scheme for Stokes interface problems
Calibration Wizard: A Guidance System for Camera Calibration
Word Order Does Not Matter For Speech Recognition
EchoWear: Smartwatch Technology for Voice and Speech Treatments of Patients with Parkinson's Disease
Multi-Agent Informational Learning Processes
Innate Reasoning is Not Enough: In-Context Learning Enhances Reasoning Large Language Models with Less Overthinking
Global Search Optics: Automatically Exploring Optimal Solutions to Compact Computational Imaging Systems
EVM analysis of an Interference Limited SIMO-SC System With Independent and Correlated Channels
Guider l'attention dans les modeles de sequence a sequence pour la prediction des actes de dialogue
Learning finite symmetry groups of dynamical systems via equivariance detection
Iterate & Cluster: Iterative Semi-Supervised Action Recognition
Evaluation of data imputation strategies in complex, deeply-phenotyped data sets: the case of the EU-AIMS Longitudinal European Autism Project
Deep Learning for Logo Recognition
Local Limits of Small World Networks
Data Imputation through the Identification of Local Anomalies
Toward Building Conversational Recommender Systems: A Contextual Bandit Approach
Linear models based on noisy data and the Frisch scheme
SChanger: Change Detection from a Semantic Change and Spatial Consistency Perspective
History Repeats: Overcoming Catastrophic Forgetting For Event-Centric Temporal Knowledge Graph Completion
Prophet Inequalities for Matching with a Single Sample
Hacking CTFs with Plain Agents
Accelerating Scientific Discovery with Generative Knowledge Extraction, Graph-Based Representation, and Multimodal Intelligent Graph Reasoning
Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025
On the numerical approximations of the periodic Schrödinger equation
Leveraging Conditional Generative Models in a General Explanation Framework of Classifier Decisions
Computational Aspects of Geometric Algebra Products of Two Homogeneous Multivectors
ComoRAG: A Cognitive-Inspired Memory-Organized RAG for Stateful Long Narrative Reasoning
Efficient Adaptive Computation of the Dynamics of Mott Transistors
Topological Entropy of Nonlinear Time-Varying Systems
Vehicle Re-identification in Aerial Imagery: Dataset and Approach
Corn Ear Detection and Orientation Estimation Using Deep Learning
Software Engineering for Robotic Systems: a systematic mapping study
Learning to Unlearn: Building Immunity to Dataset Bias in Medical Imaging Studies
Tensor-reduced atomic density representations
Multi-Task Learning with Incomplete Data for Healthcare
Analyzing Knowledge Transfer in Deep Q-Networks for Autonomously Handling Multiple Intersections
Lower bounds for testing digraph connectivity with one-pass streaming algorithms
Self-Supervised Structure-from-Motion through Tightly-Coupled Depth and Egomotion Networks
DTN: A Learning Rate Scheme with Convergence Rate of O(1/t) for SGD
Seeing the Future, Perceiving the Future: A Unified Driving World Model for Future Generation and Perception
On Byzantine Fault Tolerance in Multi-Master Kubernertes Clusters
Network Coding for Cooperative Mobile Devices with Multiple Interfaces
Decouple and Track: Benchmarking and Improving Video Diffusion Transformers for Motion Transfer
p-Edge/Vertex-Connected Vertex Cover: Parameterized and Approximation Algorithms
Individualized Multilayer Tensor Learning with An Application in Imaging Analysis
Visualisation of Law and Legal Process: An Opportunity Missed
Solving the inverse Source Problems for wave equation with final time measurements by a data driven approach
Impact of News Organizations' Trustworthiness and Social Media Activity on Audience Engagement
Multi-Hour Ahead Dst Index Prediction Using Multi-Fidelity Boosted Neural Networks
Mask-based Data Augmentation for Semi-supervised Semantic Segmentation
On the Intersection of Signal Processing and Machine Learning: A Use Case-Driven Analysis Approach
Cadabra and Python algorithms in General Relativity and Cosmology I: Generalities
Monte Carlo Techniques for Addressing Large Errors and Missing Data in Simulation-based Inference
Quantum Algorithm to Solve a Maze: Converting the Maze Problem into a Search Problem
Continuous Temporal Graph Networks for Event-Based Graph Data
Efficient inverse Z -transform and Wiener-Hopf factorization
Kolmogorov-Arnold Networks for Time Series: Bridging Predictive Power and Interpretability
A Comparative Study of Transformer-based Neural Text Representation Techniques on Bug Triaging
Flux4D: Flow-based Unsupervised 4D Reconstruction
A Novel Denoising Technique and Deep Learning Based Hybrid Wind Speed Forecasting Model for Variable Terrain Conditions
Hessian-Aware Bayesian Optimization for Decision Making Systems
Optimal Tree Decompositions Revisited: A Simpler Linear-Time FPT Algorithm
Learning Decision Trees as Amortized Structure Inference
Analyzing the Travel and Charging Behavior of Electric Vehicles - A Data-driven Approach
Acquiring and Modelling Abstract Commonsense Knowledge via Conceptualization
Parameterized quantum comb and simpler circuits for reversing unknown qubit-unitary operations
Pure Resolutions, Linear Codes, and Betti Numbers
Off-policy Reinforcement Learning with Model-based Exploration Augmentation
Forecasting Corn Yield with Machine Learning Ensembles
1.5 million materials narratives generated by chatbots
Probabilistic Shoenfield Machines
TarGF: Learning Target Gradient Field for Object Rearrangement
Graph complements of circular graphs
Hierarchically Structured Task-Agnostic Continual Learning
Calibrated and Sharp Uncertainties in Deep Learning via Simple Density Estimation
MEDFORM: A Foundation Model for Contrastive Learning of CT Imaging and Clinical Numeric Data in Multi-Cancer Analysis
Prototype Clustered Diffusion Models for Versatile Inverse Problems
ReAFFPN: Rotation-equivariant Attention Feature Fusion Pyramid Networks for Aerial Object Detection
GPT3-to-plan: Extracting plans from text using GPT-3
Algorithmic Introduction of Quantified Cuts
DeepObfuscation: Securing the Structure of Convolutional Neural Networks via Knowledge Distillation
MedAide: Towards an Omni Medical Aide via Specialized LLM-based Multi-Agent Collaboration
Citekit: A Modular Toolkit for Large Language Model Citation Generation
Sum-Product Networks for Sequence Labeling
ARTIST: Improving the Generation of Text-rich Images by Disentanglement
Linking Microscopic and Macroscopic Models for Evolution: Markov Chain Network Training and Conservation Law Approximations
From webtables to datatables
A Novel Neural Network Training Framework with Data Assimilation
Investigating and unmasking feature-level vulnerabilities of CNNs to adversarial perturbations
Large Language Model-Based Agents for Automated Research Reproducibility: An Exploratory Study in Alzheimer's Disease
Disjunctive Normal Level Set: An Efficient Parametric Implicit Method
STF: Spatio-Temporal Fusion Module for Improving Video Object Detection
Open Sentence Embeddings for Portuguese with the Serafim PT* encoders family
Universal Checkpointing: Efficient and Flexible Checkpointing for Large Scale Distributed Training
A note about high-order semi-implicit differentiation: application to a numerical integration scheme with Taylor-based compensated error
Spatially embedded growing small-world networks
Conformal Ranked Retrieval
FDDM: Frequency-Decomposed Diffusion Model for Rectum Cancer Dose Prediction in Radiotherapy
Entropy-Driven Pre-Tokenization for Byte-Pair Encoding
A quantum semantic framework for natural language processing
VQ-SGen: A Vector Quantized Stroke Representation for Sketch Generation
Non-Normal Super-Strict Implications
Explaining a prediction in some nonlinear models
On the analysis of saturated pressure to detect fatigue
OpenRAND: A Performance Portable, Reproducible Random Number Generation Library for Parallel Computations
Level-based Analysis of Genetic Algorithms and other Search Processes
The Wang-Landau Algorithm as Stochastic Optimization and its Acceleration
Minimal Per-Flow Backlog Bounds at an Aggregate FIFO Server under Piecewise-Linear Arrival Curves
Programming Patterns in Dataflow Matrix Machines and Generalized Recurrent Neural Nets
Data-Centric Elastic Pipeline Parallelism for Efficient Long-Context LLM Training
Predicting Alzheimer's disease: a neuroimaging study with 3D convolutional neural networks
FPGA Co-Design for Efficient N:M Sparse and Quantized Model Inference
A ghost-point based second order accurate finite difference method on uniform orthogonal grids for electromagnetic scattering around PEC
A Contextual Online Learning Theory of Brokerage
TOMA: Topological Map Abstraction for Reinforcement Learning
OTA-Key: Over the Air Key Management for Flexible and Reliable IoT Device Provision
Delegated Authorization for Agents Constrained to Semantic Task-to-Scope Matching
Understanding plasticity in neural networks
AnalogVNN: A fully modular framework for modeling and optimizing photonic neural networks
Statistical Optimal Transport via Geodesic Hubs
GTApprox: surrogate modeling for industrial design
A high-order Eulerian-Lagrangian Runge-Kutta finite volume (EL-RK-FV) method for scalar nonlinear conservation laws
Insights into Natural Language Database Query Errors: From Attention Misalignment to User Handling Strategies
Unidirectional Thin Adapter for Efficient Adaptation of Deep Neural Networks
ε-Optimal Multi-Agent Patrol using Recurrent Strategy
Tabling Optimization for Contextual Abduction
Towards a Computational Analysis of Suspense: Detecting Dangerous Situations
Top-push Video-based Person Re-identification
Multidimensional Asymptotic Consensus in Dynamic Networks
Distributed Real-Time Power Balancing in Renewable-Integrated Power Grids with Storage and Flexible Loads
Entropy Collapse: A Universal Failure Mode of Intelligent Systems
Learning Diffractive Optical Communication Around Arbitrary Opaque Occlusions
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation
Optimization of BLE Broadcast Mode in Offline Finding Network
Testing the fairness of citation indicators for comparison across scientific domains: the case of fractional citation counts
Graph theoretical models and algorithms of portfolio compression
Compression of GPS Trajectories using Autoencoders
LLMs for Enhanced Agricultural Meteorological Recommendations
Real-time division-of-focal-plane polarization imaging system with progressive networks
Political DEBATE: Efficient Zero-shot and Few-shot Classifiers for Political Text
Clustering of Disease Trajectories with Explainable Machine Learning: A Case Study on Postoperative Delirium Phenotypes
ACE-BERT: Adversarial Cross-modal Enhanced BERT for E-commerce Retrieval
From Benchmark Data To Applicable Program Repair: An Experience Report
Recovery guarantees for polynomial approximation from dependent data with outliers
End-to-end Learning from Spectrum Data: A Deep Learning approach for Wireless Signal Identification in Spectrum Monitoring applications
A Formal Development Cycle for Security Engineering in Isabelle
Correlations of network trajectories
Monte Carlo Connection Prover
Fusion of finite set distributions: Pointwise consistency and global cardinality
Embedding Multiclass Data Hiding in Compressed Sensing
Extending Activation Steering to Broad Skills and Multiple Behaviours
Visualization techniques for the developing chicken heart
Improving 6D Pose Estimation of Objects in Clutter via Physics-aware Monte Carlo Tree Search
Support Union Recovery in Meta Learning of Gaussian Graphical Models
VAMS: Verifiable Auditing of Access to Confidential Data
MusicScaffold: Bridging Machine Efficiency and Human Growth in Adolescent Creative Education through Generative AI
Proving a directed analogue of the Gyárfás-Sumner conjecture for orientations of P 4
LSTM Network for Inflected Abbreviation Expansion
Moving Vehicle Detection Using AdaBoost and Haar-Like Feature in Surveillance Videos
Dropout Drops Double Descent
LLM Cognitive Judgements Differ From Human
XBNet : An Extremely Boosted Neural Network
A Review of Changepoint Detection Models
Category-Based Routing in Social Networks: Membership Dimension and the Small-World Phenomenon (Short)
Deep learning for Plankton and Coral Classification
A data-driven approach to sampling matrix selection for compressive sensing
Phase-field and lip-field approaches for fracture with extreme mesh deformation (X-Mesh): a one-dimensional study
GSsplat: Generalizable Semantic Gaussian Splatting for Novel-view Synthesis in 3D Scenes
POINTS-Reader: Distillation-Free Adaptation of Vision-Language Models for Document Conversion
Analysing Shortcomings of Statistical Parametric Speech Synthesis
CarbonCP: Carbon-Aware DNN Partitioning with Conformal Prediction for Sustainable Edge Intelligence
Autoregressive Language Models for Knowledge Base Population: A case study in the space mission domain
ESCHER: Efficient and Scalable Hypergraph Evolution Representation with Application to Triad Counting
A Review on Part-of-Speech Technologies
DD-NeRF: Double-Diffusion Neural Radiance Field as a Generalizable Implicit Body Representation
Corpus Similarity Measures Remain Robust Across Diverse Languages
Clip-OGD: An Experimental Design for Adaptive Neyman Allocation in Sequential Experiments
Benchmarking Minimax Linkage
Taming Unbalanced Training Workloads in Deep Learning with Partial Collective Operations
Behind the Myth of Exploration in Policy Gradients
PINGS-X: Physics-Informed Normalized Gaussian Splatting with Axes Alignment for Efficient Super-Resolution of 4D Flow MRI
Look as You Think: Unifying Reasoning and Visual Evidence Attribution for Verifiable Document RAG via Reinforcement Learning
KeBaB: k -mer based breaking for finding super-maximal exact matches
Connection Matrices in Macaulay2
Agentic Semantic Control for Autonomous Wireless Space Networks: Extending Space-O-RAN with MCP-Driven Distributed Intelligence
Overcoming The Limitations of Phase Transition by Higher Order Analysis of Regularization Techniques
An Interactive Tool for Natural Language Processing on Clinical Text
Anderson-type acceleration method for Deep Neural Network optimization
Second-Order Guarantees of Stochastic Gradient Descent in Non-Convex Optimization
Large-scale Heteroscedastic Regression via Gaussian Process
Visualizing Deep Convolutional Neural Networks Using Natural Pre-Images
Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs
Leveraging ChatGPT for Sponsored Ad Detection and Keyword Extraction in YouTube Videos
Non-Rival Data as Rival Products: An Encapsulation-Forging Approach for Data Synthesis
A general framework for the OSRC-preconditioned EFIE in computational electromagnetics
Continual Weight Updates and Convolutional Architectures for Equilibrium Propagation
Data-driven discovery with Limited Data Acquisition for fluid flow across cylinder
Adoption of the open access business model in scientific journal publishing: A cross-disciplinary study
Stable Cosparse Recovery via \ell_q-analysis Optimization
Noise-Aware Saliency Prediction for Videos with Incomplete Gaze Data
Linguistic Generalizations are not Rules: Impacts on Evaluation of LMs
A Closer Look at Mobile App Usage as a Persistent Biometric: A Small Case Study
Understanding emotions in the context of IT-based self-monitoring
Dance Revolution: Long Sequence Dance Generation with Music via Curriculum Learning
A note on Erdős's mysterious remark
Stegomalware: A Systematic Survey of MalwareHiding and Detection in Images, Machine LearningModels and Research Challenges
A GPT-based Decision Transformer for Multi-Vehicle Coordination at Unsignalized Intersections
Minimizing Regret in Billboard Advertisement under Zonal Influence Constraint
Measurement Scheduling for Cooperative Localization in Resource-constrained Conditions
Security for Wiretap Networks via Rank-Metric Codes
Improving Efficiency of DNN-based Relocalization Module for Autonomous Driving with Server-side Computing
On the Complexity of Co-secure Dominating Set Problem
Fork is All You Need in Heterogeneous Systems
Co-evolution-based Metal-binding Residue Prediction with Graph Neural Networks
Leveraging Retrieval-Augmented Generation for Culturally Inclusive Hakka Chatbots: Design Insights and User Perceptions
GaborPINN: Efficient physics informed neural networks using multiplicative filtered networks
Activations Through Extensions: A Framework To Boost Performance Of Neural Networks
Providing content based billing architecture over Next Generation Network
Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems
SmartFPS: Neural Network based Wireless-inertial fusion positioning system
FreezeOut: Accelerate Training by Progressively Freezing Layers
Globally Consistent Algorithms for Mixture of Experts
Trade-off between Communication and Cooperation in the Interference Channel
A Robust Process to Identify Pivots inside Sub-communities In Social Networks
Towards Imperceptible Watermarking Via Environment Illumination for Consumer Cameras
High-SNR Analysis of Outage-Limited Communications with Bursty and Delay-Limited Information
Improved Latin Square based Secret Sharing Scheme
Non-asymptotic System Identification for Linear Systems with Nonlinear Policies
DEAL: Difficulty-aware Active Learning for Semantic Segmentation
Learning algorithms versus automatability of Frege systems
Optimal Nonstationary Reproduction Distribution for Nonanticipative RDF on Abstract Alphabets
Movable-Antenna Trajectory Optimization for Wireless Sensing: CRB Scaling Laws over Time and Space
Exploiting Complexity in Pen- and Touch-based Signature Biometrics
Massively Parallel Algorithms for the Lattice Boltzmann Method on Non-uniform Grids
A Conjecture on a Fundamental Trade-Off between Certainty and Scope in Symbolic and Generative AI
The Noir Dataflow Platform: Efficient Data Processing without Complexity
Emerging Patterns of GenAI Use in K-12 Science and Mathematics Education
RoWSFormer: A Robust Watermarking Framework with Swin Transformer for Enhanced Geometric Attack Resilience
LLM-empowered knowledge graph construction: A survey
Seeking Meaning in a Space Made out of Strokes, Radicals, Characters and Compounds
Certified Vision-based State Estimation for Autonomous Landing Systems using Reachability Analysis
Language-based Audio Retrieval with Co-Attention Networks
Ranked differences Pearson correlation dissimilarity with an application to electricity users time series clustering
Plastic computing, the cloud continuum journey beyond infinity
Adaptive space-time finite element methods for non-autonomous parabolic problems with distributional sources
A many-to-one job market: more about the core and the competitive salaries
Cascaded Neural Networks with Selective Classifiers and its evaluation using Lung X-ray CT Images
Improving Topic Relevance Model by Mix-structured Summarization and LLM-based Data Augmentation
Linear model predictive control based on polyhedral control Lyapunov functions: theory and applications
A Secure Medical Record Sharing Scheme Based on Blockchain and Two-fold Encryption
Data Encryption Battlefield: A Deep Dive into the Dynamic Confrontations in Ransomware Attacks
Learning Temporal Abstractions via Variational Homomorphisms in Option-Induced Abstract MDPs
CIRR: Causal-Invariant Retrieval-Augmented Recommendation with Faithful Explanations under Distribution Shift
Probabilistic framework for solving Visual Dialog
The Architectural Implications of Facebook's DNN-based Personalized Recommendation
Low Power SI Class E Power Amplifier and RF Switch For Health Care
Design and Implementation of a High-Accuracy Positioning System Using RTK on Smartphones
Turn-taking and Backchannel Prediction with Acoustic and Large Language Model Fusion
SW# - GPU enabled exact alignments on genome scale
Combining Wasserstein-1 and Wasserstein-2 proximals: robust manifold learning via well-posed generative flows
Fast variational Bayes for heavy-tailed PLDA applied to i-vectors and x-vectors
Cautious Deep Learning
Understanding Norm Change: An Evolutionary Game-Theoretic Approach (Extended Version)
A Brief Review for Compression and Transfer Learning Techniques in DeepFake Detection
Towards an automated method based on Iterated Local Search optimization for tuning the parameters of Support Vector Machines
Uncertainty Quantification for Deep Regression using Contextualised Normalizing Flows
ELASTIC: Efficient Linear Attention for Sequential Interest Compression
Learning Dependency Models for Subset Repair
Energy Consumption Optimization in Radio Access Networks (ECO-RAN)
Lost in the Maze: Overcoming Context Limitations in Long-Horizon Agentic Search
Equational Characterization of Covariant-Contravariant Simulation and Conformance Simulation Semantics
Effective persistent homology of digital images
Different Adiabatic Quantum Optimization Algorithms for the NP-Complete Exact Cover and 3SAT Problems
Scene-aware Far-field Automatic Speech Recognition
Towards Efficient Exact Synthesis for Linear Hybrid Systems
Natural emergence of clusters and bursts in network evolution
Commutative Event Sourcing vs. Triple Graph Grammars
Overview and Performance Evaluation of Supervisory Controller Synthesis with Eclipse ESCET v4.0
A Simple Contrastive Learning Objective for Alleviating Neural Text Degeneration
Optimal Gradient Quantization Condition for Communication-Efficient Distributed Training
NotiMind: Utilizing Responses to Smart Phone Notifications as Affective sensors
First electrical White Rabbit absolute calibration inter-comparison
CAD-Coder:Text-Guided CAD Files Code Generation
Multi-Dimensional Recurrent Neural Networks
Exact inequalities and optimal recovery by inaccurate information
3SHNet: Boosting Image-Sentence Retrieval via Visual Semantic-Spatial Self-Highlighting
Learning the PTM Code through a Coarse-to-Fine, Mechanism-Aware Framework
CP-Bench: Evaluating Large Language Models for Constraint Modelling
On Massive MIMO Physical Layer Cryptosystem
Elementary affine λ-calculus with multithreading and side effects
Time Series Classification from Scratch with Deep Neural Networks: A Strong Baseline
Enabling MPI communication within Numba/LLVM JIT-compiled Python code using numba-mpi v1.0
Variance-Constrained Capacity of the Molecular Timing Channel with Synchronization Error
DDoSDet: An approach to Detect DDoS attacks using Neural Networks
Counting Causal Paths in Big Times Series Data on Networks
Why Evolve When You Can Adapt? Post-Evolution Adaptation of Genetic Memory for On-the-Fly Control
Learning and balancing time-varying loads in large-scale systems
Adversarially Robust Feature Learning for Breast Cancer Diagnosis
DAS-MP: Enabling High-Quality Macro Placement with Enhanced Dataflow Awareness
Navigating the Smog: A Cooperative Multi-Agent RL for Accurate Air Pollution Mapping through Data Assimilation
Optimizing Scrubbing by Netlist Analysis for FPGA Configuration Bit Classification and Floorplanning
Semantic Channel Equalization Strategies for Deep Joint Source-Channel Coding
Mixed Linear and Non-linear Recursive Types
Estimating the Number of HTTP/3 Responses in QUIC Using Deep Learning
Performing Nonlinear Blind Source Separation with Signal Invariants