yusuke1997/dblp-id-title huggingface dataset:
A Theoretical Model For Artificial Learning, Memory Management And Decision Making System
A Two-Stage Band-Split Mamba-2 Network For Music Separation
A Predictive Operation Controller for an Electro-Thermal Microgrid Utilizing Variable Flow Temperatures
QPSK Waveform for MIMO Radar with Spectrum Sharing Constraints
Pyramidal RoR for Image Classification
Surgical Depth Anything: Depth Estimation for Surgical Scenes using Foundation Models
Audio-sync Video Instance Editing with Granularity-Aware Mask Refiner
Basis sequence reconfiguration in the union of matroids
On-Site Precise Screening of SARS-CoV-2 Systems Using a Channel-Wise Attention-Based PLS-1D-CNN Model with Limited Infrared Signatures
Learning Recurrent Span Representations for Extractive Question Answering
Strong approximation for fractional wave equation forced by fractional Brownian motion with Hurst parameter H∈(0, 1/2)
Dissertation Machine Learning in Materials Science - A case study in Carbon Nanotube field effect transistors
D3MAS: Decompose, Deduce, and Distribute for Enhanced Knowledge Sharing in Multi-Agent Systems
A GPS spoofing detection and classification correlator-based technique using the LASSO
Computing Quartet Distance is Equivalent to Counting 4-Cycles
Informed Greedy Algorithm for Scalable Bayesian Network Fusion via Minimum Cut Analysis
ProofOptimizer: Training Language Models to Simplify Proofs without Human Demonstrations
echemdb Toolkit - a Lightweight Approach to Getting Data Ready for Data Management Solutions
THOR: Transformer Heuristics for On-Demand Retrieval
Probabilistic Weight Fixing: Large-scale training of neural network weight uncertainties for quantization
Discovering conservation laws from data for control
An Improved Discrete Bat Algorithm for Symmetric and Asymmetric Traveling Salesman Problems
Approche polyedrale pour le probleme du separateur (VSP)
MindOmni: Unleashing Reasoning Generation in Vision Language Models with RGPO
Ontology-based collaborative framework for disaster recovery scenarios
Instance-Agnostic Geometry and Contact Dynamics Learning
Neural Predictive Monitoring under Partial Observability
ASFlow: Unsupervised Optical Flow Learning with Adaptive Pyramid Sampling
Winning the Social Media Influence Battle: Uncertainty-Aware Opinions to Understand and Spread True Information via Competitive Influence Maximization
Reproducing Kernel Hilbert Space Pruning for Sparse Hyperspectral Abundance Prediction
A Faster, More Intuitive RooFit
Close-up View synthesis by Interpolating Optical Flow
Reducing self-supervised learning complexity improves weakly-supervised classification performance in computational pathology
Detection of Strongly Lensed Arcs in Galaxy Clusters with Transformers
GAPS: Geo Data Portals for Air Pollution Studies
MEReQ: Max-Ent Residual-Q Inverse RL for Sample-Efficient Alignment from Intervention
Identifying shifts in multi-modal travel patterns during special events using mobile data: Celebrating Vappu in Helsinki
Note on Computing Ratings from Eigenvectors
Machine Learning-based Estimation of Respiratory Fluctuations in a Healthy Adult Population using BOLD fMRI and Head Motion Parameters
Video Summarization through Reinforcement Learning with a 3D Spatio-Temporal U-Net
Online Modifications for Event-based Signal Temporal Logic Specifications
Zoom-shot: Fast and Efficient Unsupervised Zero-Shot Transfer of CLIP to Vision Encoders with Multimodal Loss
A Feasible Framework for Arbitrary-Shaped Scene Text Recognition
Randomized Reactive Redundancy for Byzantine Fault-Tolerance in Parallelized Learning
How to Evaluate Word Representations of Informal Domain?
Compression for Coinductive Infinitary Rewriting: A Generic Approach, with Applications to Cut-Elimination for Non-Wellfounded Proofs
Redesigning the ensemble Kalman filter with a dedicated model of epistemic uncertainty
Bayesian Rao test for distributed target detection in interference and noise with limited training data
AC-LIO: Towards Asymptotic and Consistent Convergence in LiDAR-Inertial Odometry
Modelling, Analysis and Control of OmniMorph: an Omnidirectional Morphing Multi-rotor UAV
An Inverse Partial Optimal Transport Framework for Music-guided Movie Trailer Generation
Automatic Neural Lyrics and Melody Composition
Integrating Optimal Transport and Structural Inference Models for GRN Inference from Single-cell Data
On the Computation and Applications of Large Dense Partial Correlation Networks
A Call for Collaborative Intelligence: Why Human-Agent Systems Should Precede AI Autonomy
Causal Dependence Tree Approximations of Joint Distributions for Multiple Random Processes
Dataflow Aware Mapping of Convolutional Neural Networks Onto Many-Core Platforms With Network-on-Chip Interconnect
Learning Interpretable Models of Aircraft Handling Behaviour by Reinforcement Learning from Human Feedback
Hybrid quadrature moment method for accurate and stable representation of non-Gaussian processes and their dynamics
Using shifted conjugacy in braid-based cryptography
Investigating Context-Faithfulness in Large Language Models: The Roles of Memory Strength and Evidence Style
Tragic and Comical Networks. Clustering Dramatic Genres According to Structural Properties
Predicting the Popularity of Online Videos via Deep Neural Networks
Algorithmic and Complexity Results for Cutting Planes Derived from Maximal Lattice-Free Convex Sets
Balancing Security and Accuracy: A Novel Federated Learning Approach for Cyberattack Detection in Blockchain Networks
Knowing Where and What: Unified Word Block Pretraining for Document Understanding
Robust Nonlinear Component Estimation with Tikhonov Regularization
SafeChat: A Framework for Building Trustworthy Collaborative Assistants and a Case Study of its Usefulness
The New Modality: Emoji Challenges in Prediction, Anticipation, and Retrieval
Fixing Code Generation Errors for Large Language Models
A1 SLAM: Quadruped SLAM using the A1's Onboard Sensors
Community detection with node attributes in multilayer networks
Spatial CUSUM for Signal Region Detection
On the Capacity of Private Monomial Computation
A Brief Guide to Designing and Evaluating Human-Centered Interactive Machine Learning
Approximating submodular k-partition via principal partition sequence
On degree-3 and (n-4)-correlation-immune perfect colorings of n-cubes
Identifying the root cause of cable network problems with machine learning
Does the First-Response Matter for Future Contributions? A Study of First Contributions
Multi-objective robust controller synthesis with integral quadratic constraints in discrete-time
Dual Diffusion Architecture for Fisheye Image Rectification: Synthetic-to-Real Generalization
A Sub-Nyquist Radar Prototype: Hardware and Algorithms
Physically Unclonable Functions and AI: Two Decades of Marriage
Electric Power Processing Using Logic Operation and Error Correction
Neural Scaling Laws From Large-N Field Theory: Solvable Model Beyond the Ridgeless Limit
Annealing Optimisation of Mixed ZX Phase Circuits
Style Imitation and Chord Invention in Polyphonic Music with Exponential Families
Situating Agent-Based Modelling in Population Health Research
Breaking the curse of dimensionality with Isolation Kernel
The AI Attribution Paradox: Transparency as Social Strategy in Open-Source Software Development
Relabel Minimal Training Subset to Flip a Prediction
Minimum Distance Distribution of Irregular Generalized LDPC Code Ensembles
A Polynomial Time Algorithm for Computing the Strong Rainbow Connection Numbers of Odd Cacti
How green is continual learning, really? Analyzing the energy consumption in continual training of vision foundation models
On-board Deep Q-Network for UAV-assisted Online Power Transfer and Data Collection
Superpixel Integrated Grids for Fast Image Segmentation
Integrated Nested Laplace Approximations for Large-Scale Spatial-Temporal Bayesian Modeling
Self-Adapting Improvement Loops for Robotic Learning
Side-channel Inference of User Activities in AR/VR Using GPU Profiling
fev-bench: A Realistic Benchmark for Time Series Forecasting
Survey and Tutorial of Reinforcement Learning Methods in Process Systems Engineering
A decentralized future for the open-science databases
SeqBalance: Congestion-Aware Load Balancing with no Reordering for RoCE
Mastering emergent language: learning to guide in simulated navigation
Adversarial Demonstration Attacks on Large Language Models
Algorithmic Concept-based Explainable Reasoning
Wavelet-Space Super-Resolution Network for Rendering Pipelines
MENTOR: Efficient Multimodal-Conditioned Tuning for Autoregressive Vision Generation Models
Multi-Agent Learning of Numerical Methods for Hyperbolic PDEs with Factored Dec-MDP
Natural language processing for word sense disambiguation and information extraction
MSCrackMamba: Leveraging Vision Mamba for Crack Detection in Fused Multispectral Imagery
Position: There Is No Free Bayesian Uncertainty Quantification
The Complexity of Probabilistic Justification Logic
Studies on the energy and deep memory behaviour of a cache-oblivious, task-based hyperbolic PDE solver
Safety Control of Monotone Systems with Bounded Uncertainties
T-Net: Encoder-Decoder in Encoder-Decoder architecture for the main vessel segmentation in coronary angiography
Stateless Code Model Checking of Information Flow Security
Short-Path Prompting in LLMs: Analyzing Reasoning Instability and Solutions for Robust Performance
Improving Feature-based Visual Localization by Geometry-Aided Matching
Distributed Principal Component Analysis for Wireless Sensor Networks
A Physics-Informed U-net-LSTM Network for Data-Driven Seismic Response Modeling of Structures
The Unified Balance Theory of Second-Moment Exponential Scaling Optimizers in Visual Tasks
Esoteric Language Models
Studying the structure of complex networks by the transition to acyclic networks
Tuning Synaptic Connections instead of Weights by Genetic Algorithm in Spiking Policy Network
HyperCore: Coreset Selection under Noise via Hypersphere Models
Studying homing and synchronizing sequences for Timed Finite State Machines with output delays
A DSA-like digital signature protocol
Auto-Generation of Pipelined Hardware Designs for Polar Encoder
Comparison and Improvement for Delay Analysis Approaches: Theoretical Models and Experimental Tests
A note on the Singleton bounds for codes over finite rings
Application and network layers design for wireless sensor network to supervise chemical active product warehouse
Retrieval Guided Unsupervised Multi-domain Image-to-Image Translation
Counterstrike: Defending Deep Learning Architectures Against Adversarial Samples by Langevin Dynamics with Supervised Denoising Autoencoder
Random Forest-Based Prediction of Stroke Outcome
Robust Hydraulic Fracture Monitoring (HFM) of Multiple Time Overlapping Events Using a Generalized Discrete Radon Transform
MRF-based Background Initialisation for Improved Foreground Detection in Cluttered Surveillance Videos
Decentralised multi-agent coordination for real-time railway traffic management
Revisiting Hyper-Parameter Tuning for Search-based Test Data Generation
Soft finger dynamic stability and slip by Coulomb friction and bulk stiffness
Big-Little Adaptive Neural Networks on Low-Power Near-Subthreshold Processors
Can denoising diffusion probabilistic models generate realistic astrophysical fields?
The information-theoretic meaning of Gagliardo-Nirenberg type inequalities
A Velocity-based Moving Mesh Virtual Element Method
Stitch: Training-Free Position Control in Multimodal Diffusion Transformers
Community Search in Attributed Networks using Dominance Relationships and Random Walks
A Data-driven Study of Influences in Twitter Communities
WeightLoRA: Keep Only Necessary Adapters
Graph versioning for evolving urban data
Convergence rates of stochastic gradient method with independent sequences of step-size and momentum weight
Object Placement Planning and Optimization for Robot Manipulators
Hexapods with a small linear span
DiffGAN: A Test Generation Approach for Differential Testing of Deep Neural Networks
On Quantum Context-Free Grammars
OnPair: Short Strings Compression for Fast Random Access
Towards Active Synthetic Data Generation for Finetuning Language Models
A Systematic Review of Approximability Results for Traveling Salesman Problems leveraging the TSP-T3CO Definition Scheme
MetaGadget: An Accessible Framework for IoT Integration into Commercial Metaverse Platforms
Scalability of Genetic Programming and Probabilistic Incremental Program Evolution
Universal Digital Services Through Basic Broadband
Semantic Segmentation using Vision Transformers: A survey
Exploring Behaviours of RESTful APIs in an Industrial Setting
The FLORES-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation
Help the Blind See: Assistance for the Visually Impaired through Augmented Acoustic Simulation
Can adversarial attacks by large language models be attributed?
Structured preconditioning of conjugate gradients for path-graph network optimal control problems
Evaluating the Dynamics of Membership Privacy in Deep Learning
On properties and numerical computation of critical points of eigencurves of bivariate matrix pencils
Can LLM Agents Maintain a Persona in Discourse?
Restricted isometry property of random subdictionaries
EmoScan: Automatic Screening of Depression Symptoms in Romanized Sinhala Tweets
An Efficient Algorithm for Clustered Multi-Task Compressive Sensing
Neverland: Lightweight Hardware Extensions for Enforcing Operating System Integrity
HydroDeep - A Knowledge Guided Deep Neural Network for Geo-Spatiotemporal Data Analysis
Enhancing Suicide Risk Detection on Social Media through Semi-Supervised Deep Label Smoothing
Pixel Is Not A Barrier: An Effective Evasion Attack for Pixel-Domain Diffusion Models
Towards Probabilistic Clearance, Explanation and Optimization
MagicVL-2B: Empowering Vision-Language Models on Mobile Devices with Lightweight Visual Encoders via Curriculum Learning
Neural Simpletrons - Minimalistic Probabilistic Networks for Learning With Few Labels
Sparse Learning for Large-scale and High-dimensional Data: A Randomized Convex-concave Optimization Approach
Feature Preserving Shrinkage on Bayesian Neural Networks via the R2D2 Prior
A General Framework for Density Based Time Series Clustering Exploiting a Novel Admissible Pruning Strategy
On Monotonicities of Interval Valued Functions
A Comparative Assessment of Multi-view fusion learning for Crop Classification
Flattening the curves: on-off lock-down strategies for COVID-19 with an application to Brazi
Free Lunch for Privacy Preserving Distributed Graph Learning
SurgicAI: A Fine-grained Platform for Data Collection and Benchmarking in Surgical Policy Learning
An Empirical Analysis of Deep Audio-Visual Models for Speech Recognition
LDPKiT: Recovering Utility in LDP Schemes by Training with Noise^2
Distance preservation in state-space methods for detecting causal interactions in dynamical systems
Minimally Supervised Learning using Topological Projections in Self-Organizing Maps
Economic Models for Management of Resources in Grid Computing
A decentralized FAIR platform to facilitate data sharing in the life sciences
Restricted Isometry Property under High Correlations
Evolving Efficient Genetic Encoding for Deep Spiking Neural Networks
Breaking the Code: Security Assessment of AI Code Agents Through Systematic Jailbreaking Attacks
Estimation of Power System Inertia Using Nonlinear Koopman Modes
Towards Class-wise Fair Adversarial Training via Anti-Bias Soft Label Distillation
Silent Guardian: Protecting Text from Malicious Exploitation by Large Language Models
Improving Robustness of Neural Dialog Systems in a Data-Efficient Way with Turn Dropout
VideoVista-CulturalLingo: 360 ° Horizons-Bridging Cultures, Languages, and Domains in Video Comprehension
A Simple General Approach to Balance Task Difficulty in Multi-Task Learning
Quasi-quantum states and the quasi-quantum PCP theorem
Representation Learning for Wearable-Based Applications in the Case of Missing Data
Integrating Metaverse Technologies in Medical Education: Examining Acceptance Factors Among Current and Future Healthcare Providers
Relational Graph Convolutional Neural Networks for Multihop Reasoning: A Comparative Study
Do LLM-judges Align with Human Relevance in Cranfield-style Recommender Evaluation?
A General Return-Mapping Framework for Fractional Visco-Elasto-Plasticity
Idempotent permutations
On Exact Learning of d -Monotone Functions
Compositional Symbolic Execution for Correctness and Incorrectness Reasoning (Extended Version)
DSAM-GN: Graph Network based on Dynamic Similarity Adjacency Matrices for Vehicle Re-identification
An NDN-Enabled Fog Radio Access Network Architecture With Distributed In-Network Caching
HyperGCN: Hypergraph Convolutional Networks for Semi-Supervised Classification
Learning Image Attacks toward Vision Guided Autonomous Vehicles
Deep-Learning Based Blind Recognition of Channel Code Parameters over Candidate Sets under AWGN and Multi-Path Fading Conditions
ILASH: A Predictive Neural Architecture Search Framework for Multi-Task Applications
Preservation of normality by non-oblivious group selection
DiSAN: Directional Self-Attention Network for RNN/CNN-free Language Understanding
On the continuity of flows
Benefits and Pitfalls of Reinforcement Learning for Language Model Planning: A Theoretical Perspective
Minimum Common String Partition Parameterized by Partition Size is Fixed-Parameter Tractable
Near neighbor preserving dimension reduction for doubling subsets of $\ell_1$
Systematic Generation of Algorithms for Iterative Methods
Your browsing behavior for a Big Mac: Economics of Personal Information Online
LPD Communication when the Warden Does Not Know When
A Tverberg-type problem of Kalai: Two negative answers to questions of Alon and Smorodinsky, and the power of disjointness
Algorithms for Computing the Augustin-Csisz\'ar Mutual Information and Lapidoth-Pfister Mutual Information
ECG Signal Compression and Optimization in Remote Monitoring Networks
Egalitarianism of Random Assignment Mechanisms
False: False Negative Samples Aware Contrastive Learning for Semantic Segmentation of High-Resolution Remote Sensing Image
A posteriori goal-oriented bounds for the Poisson problem using potential and equilibrated flux reconstructions: application to the hybridizable discontinuous Galerkin method
Diffusion Models are Geometry Critics: Single Image 3D Editing Using Pre-Trained Diffusion Priors
RFID Authentication Against an Unsecure Backend Server
An MDL framework for sparse coding and dictionary learning
ForestVO: Enhancing Visual Odometry in Forest Environments through ForestGlue
The evolutionary origins of modularity
Gelation in input-driven aggregation
SURFing to the Fundamental Limit of Jet Tagging
AutoCBT: An Autonomous Multi-agent Framework for Cognitive Behavioral Therapy in Psychological Counseling
Data-Driven Optimization for Police Zone Design
Semantic HARQ for Intelligent Transportation Systems: Joint Source-Channel Coding-Powered Reliable Retransmissions
Robust Counterfactual Inference in Markov Decision Processes
On Repairing Natural Language to SQL Queries
Adjacency Matrix Based Energy Efficient Scheduling using S-MAC Protocol in Wireless Sensor Networks
ML-Agent: Reinforcing LLM Agents for Autonomous Machine Learning Engineering
SAITS: Self-Attention-based Imputation for Time Series
Creating Intelligent Linking for Information Threading in Knowledge Networks
Exploring the Potential of Large Language models in Traditional Korean Medicine: A Foundation Model Approach to Culturally-Adapted Healthcare
AI, Humans, and Data Science: Optimizing Roles Across Workflows and the Workforce
Hardware Implementation of Hyperbolic Tangent Function using Catmull-Rom Spline Interpolation
Prompt-enhanced Hierarchical Transformer Elevating Cardiopulmonary Resuscitation Instruction via Temporal Action Segmentation
Utilizing Synthetic Data for Medical Vision-Language Pre-training: Bypassing the Need for Real Images
Peek Inside the Closed World: Evaluating Autoencoder-Based Detection of DDoS to Cloud
On the Eigenvalues of Global Covariance Pooling for Fine-grained Visual Recognition
Low-Perplexity LLM-Generated Sequences and Where To Find Them
A Modest Pareto Optimisation Analysis of Dependency Parsers in 2021
Fast and simple algorithms for computing both $LCS_{k}$ and $LCS_{k+}$
On the Definition of Cyber-Physical Resilience in Power Systems
DLA-Count: Dynamic Label Assignment Network for Dense Cell Distribution Counting
Group Testing with Correlation under Edge-Faulty Graphs
A Multi-stage Collaborative 3D GIS to Support Public Participation
A jet tagging algorithm of graph network with HaarPooling message passing
An Exploratory Study of Writing and Revising Explicit Programming Strategies
Teaching DevOps Security Education with Hands-on Labware: Automated Detection of Security Weakness in Python
Privacy-Preserving and Incentive-Driven Relay-Based Framework for Cross-Domain Blockchain Interoperability
An Auditability, Transparent, and Privacy-Preserving for Supply Chain Traceability Based on Blockchain
NeAT: Neural Adaptive Tomography
Integrating Meshes and 3D Gaussians for Indoor Scene Reconstruction with SAM Mask Guidance
Algorithms For Shaping a Particle Swarm With a Shared Control Input Using Boundary Interaction
Optimal Multiple Surface Segmentation with Convex Priors in Irregularly Sampled Space
Metric spaces of walks and Lipschitz duality on graphs
Towards Robust State Estimation by Boosting the Maximum Correntropy Criterion Kalman Filter with Adaptive Behaviors
Filling in the Gaps: Efficient Event Coreference Resolution using Graph Autoencoder Networks
Computing scattering resonances of rough obstacles
How to Correctly Deal With Pseudorandom Numbers in Manycore Environments - Application to GPU programming with Shoverand
Utilizing Spatiotemporal Data Analytics to Pinpoint Outage Location
Curriculum Learning Meets Weakly Supervised Modality Correlation Learning
Hybrid unary-binary design for multiplier-less printed Machine Learning classifiers
Dual-sensing driving detection model
EquiBoost: An Equivariant Boosting Approach to Molecular Conformation Generation
TopicResponse: A Marriage of Topic Modelling and Rasch Modelling for Automatic Measurement in MOOCs
Provable Near-Optimal Low-Multilinear-Rank Tensor Recovery
Multivariate Information Measures: A Copula-based Approach
Let Me At Least Learn What You Really Like: Dealing With Noisy Humans When Learning Preferences
Approximate Dynamic Programming for Planning a Ride-Sharing System using Autonomous Fleets of Electric Vehicles
S-STE: Continuous Pruning Function for Efficient 2:4 Sparse Pre-training
Rethinking generalization requires revisiting old ideas: statistical mechanics approaches and complex learning behavior
URPO: A Unified Reward & Policy Optimization Framework for Large Language Models
GluonTS: Probabilistic Time Series Models in Python
ReGeS: Reciprocal Retrieval-Generation Synergy for Conversational Recommender Systems
Game-theoretic statistics and safe anytime-valid inference
CCSRP: Robust Pruning of Spiking Neural Networks through Cooperative Coevolution
Language Models Can Learn Exceptions to Syntactic Rules
Accurate Gaussian Process Distance Fields with applications to Echolocation and Mapping
MULTI-LF: A Unified Continuous Learning Framework for Real-Time DDoS Detection in Multi-Environment Networks
Reinforcement Explanation Learning
Analysis of Information Theoretic Limitation for Linear Time Invariant Feedback Systems
Applying Nature-Inspired Optimization Algorithms for Selecting Important Timestamps to Reduce Time Series Dimensionality
Training Neural Networks at Any Scale
Supporting Anticipatory Governance using LLMs: Evaluating and Aligning Large Language Models with the News Media to Anticipate the Negative Impacts of AI
Not All Pixels Are Equal: Learning Pixel Hardness for Semantic Segmentation
Efficient and Adaptive Posterior Sampling Algorithms for Bandits
Forecasting N-Body Dynamics: A Comparative Study of Neural Ordinary Differential Equations and Universal Differential Equations
Preprint Déjà Vu: an FAQ
Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis
Containerized In-Storage Processing and Computing-Enabled SSD Disaggregation