yusuke1997/dblp-id-title huggingface dataset:
K-Nearest Neighbor Classification Using Anatomized Data
Beyond the Tragedy of the Commons: Building A Reputation System for Generative Multi-agent Systems
Multiprocessor Scheduling of Dependent Tasks to Minimize Makespan and Reliability Cost Using NSGA-II
Time-Constrained Interception of Seeker-Equipped Interceptors with Bounded Input
Continuous Approach to Phase (Norm) Retrieval Frames
A uniformly accurate scheme for the numerical integration of penalized Langevin dynamics
Guided Star-Shaped Masked Diffusion
A Higher Radix Architecture for Quantum Carry-lookahead Adder
Fast Algorithms for Reconciliation under Hybridization and Incomplete Lineage Sorting
Rethinking LLM Evaluation: Can We Evaluate LLMs with 200x Less Data?
SwinVRNN: A Data-Driven Ensemble Forecasting Model via Learned Distribution Perturbation
Multimodal PET/CT Tumour Segmentation and Prediction of Progression-Free Survival using a Full-Scale UNet with Attention
Cross-domain Few-shot In-context Learning for Enhancing Traffic Sign Recognition
Video Question Answering with Iterative Video-Text Co-Tokenization
User-Directed Loop-Transformations in Clang
CUT: Controllable Unsupervised Text Simplification
A optimization framework for herbal prescription planning based on deep reinforcement learning
Rydberg Atomic Receiver: Next Frontier of Wireless Communications
DYNUS: Uncertainty-aware Trajectory Planner in Dynamic Unknown Environments
Low-rank Approximations for Computing Observation Impact in 4D-Var Data Assimilation
Frequentist uncertainty estimates for deep learning
A Variational Approach for Joint Image Recovery and Features Extraction Based on Spatially Varying Generalised Gaussian Models
Adversarial Robustness Guarantees for Quantum Classifiers
GOPLA: Generalizable Object Placement Learning via Synthetic Augmentation of Human Arrangement
Quantum Algorithms and Circuits for Scientific Computing
Machine vs Machine: Using AI to Tackle Generative AI Threats in Assessment
k-Edge-Connectivity: Approximation and LP Relaxation
Enforcing Temporal Constraints for LLM Agents
GauS-SLAM: Dense RGB-D SLAM with Gaussian Surfels
Numerical PDE solvers outperform neural PDE solvers
Integrating Anatomical Priors into a Causal Diffusion Model
Two Approaches to Diachronic Normalization of Polish Texts
Proving μ>1
Subsampling for Graph Power Spectrum Estimation
ASOC: Adaptive Self-aware Object Co-localization
Personalized Generative AI in VR for Enhanced Engagement: Eye-Tracking Insights into Cultural Heritage Learning through Neapolitan Pizza Making
CROSSAN: Towards Efficient and Effective Adaptation of Multiple Multimodal Foundation Models for Sequential Recommendation
Numerical approximation for fractional diffusion equation forced by a tempered fractional Gaussian noise
VOLT: Improving Vocabularization via Optimal Transport for Machine Translation
One hundred percent renewable energy generation in 2030 with the lowest cost commercially available power plants
Reinforcement Learning in Non-Markovian Environments
A Review of Dynamic NURBS Approach
Multimodal AI Systems for Enhanced Laying Hen Welfare Assessment and Productivity Optimization
Private Stochastic Convex Optimization: Optimal Rates in Linear Time
Acceleration of stochastic methods on the example of decentralized SGD
Self-Distillation Learning Based on Temporal-Spatial Consistency for Spiking Neural Networks
Matrix multiplication algorithms from group orbits
Envisioning MedCLIP: A Deep Dive into Explainability for Medical Vision-Language Models
Neural optimal controller for stochastic systems via pathwise HJB operator
MeGA: Merging Multiple Independently Trained Neural Networks Based on Genetic Algorithm
Robust Power Allocation and Linear Precoding for Cell-Free and Multi-Cell Massive MIMO Systems
A Model of Layered Architectures
Fast, Simpler and More Accurate Hybrid ASR Systems Using Wordpieces
Armada: Memory-Efficient Distributed Training of Large-Scale Graph Neural Networks
Quantum-inspired Benchmark for Estimating Intrinsic Dimension
AI-Powered Data Visualization Platform: An Intelligent Web Application for Automated Dataset Analysis
A Feasibility Metric for Trajectory Optimization of Legged Robots using Wrench Polytopes
Strongly consistent low-dissipation WENO schemes for finite elements
Effect of Confidence and Explanation on Accuracy and Trust Calibration in AI-Assisted Decision Making
Intuitive or Dependent? Investigating LLMs' Robustness to Conflicting Prompts
Momentum Contrastive Voxel-wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation
Robust Distributed Estimation over Multiple Access Channels with Constant Modulus Signaling
An Enhanced Leakage-Based Precoding Scheme for Multi-User Multi-Layer MIMO Systems
Distributed Model Predictive Safety Certification for Learning-based Control
A consistent deterministic regression tree for non-parametric prediction of time series
Error exponents for Neyman-Pearson detection of a continuous-time Gaussian Markov process from noisy irregular samples
Towards Interpretable Reinforcement Learning with Constrained Normalizing Flow Policies
3D Line Segments Extraction from Semi-dense SLAM
Is Two Better than One? Effects of Multiple Agents on User Persuasion
Lane detection with Position Embedding
Image denoising by median filter in wavelet domain
How Transformers Implement Induction Heads: Approximation and Optimization Analysis
Wasserstein Gradient Boosting: A General Framework with Applications to Posterior Regression
The combined basic LP and affine IP relaxation for promise VCSPs on infinite domains
Feature-Rich Long-term Bitcoin Trading Assistant
EVOC: A Computer Model of the Evolution of Culture
Can the Government Compel Decryption? Don't Trust - Verify
DeviceWatch: Identifying Compromised Mobile Devices through Network Traffic Analysis and Graph Inference
Beyond Scaling Laws: Understanding Transformer Performance with Associative Memory
Comparison results of P 2 -finite elements for fourth-order semilinear von Karman equations
GRID Architecture through a Public Cluster
Online Fair Revenue Maximizing Cake Division with Non-Contiguous Pieces in Adversarial Bandits
On the Variance of Unbiased Online Recurrent Optimization
A SCADE Model Verification Method Based on B-Model Transformation
On the data-driven description of lattice materials mechanics
Honeypot-powered Malware Reverse Engineering
Plan for Speed - Dilated Scheduling for Masked Diffusion Language Models
Persistent spectral based machine learning (PerSpect ML) for drug design
Lower bounds for ranking-based pivot rules
Revisiting Timed Logics with Automata Modalities
Incentives for Federated Learning: a Hypothesis Elicitation Approach
Instruction Block Movement with Coupled High-Level Program Sequencing
Probabilistic combination of eigenlungs-based classifiers for COVID-19 diagnosis in chest CT images
High Performance Matrix Multiplication
Unified Dynamic Convolutional Network for Super-Resolution with Variational Degradations
A Semi-distributed Reputation Based Intrusion Detection System for Mobile Adhoc Networks
SFANet: A Spectrum-aware Feature Augmentation Network for Visible-Infrared Person Re-Identification
ShieldVLM: Safeguarding the Multimodal Implicit Toxicity via Deliberative Reasoning with LVLMs
Wireless Charger Networking for Mobile Devices: Fundamentals, Standards, and Applications
TTRV: Test-Time Reinforcement Learning for Vision Language Models
A Generic Logic for Proving Linearizability (Extended Version)
Estimating crop yields with remote sensing and deep learning
Towards More Accurate Fake Detection on Images Generated from Advanced Generative and Neural Rendering Models
Increasing Fairness in Classification of Out of Distribution Data for Facial Recognition
SQLFixAgent: Towards Semantic-Accurate SQL Generation via Multi-Agent Collaboration
MWS and FWS Codes for Coordinate-Wise Weight Functions
Plan, Posture and Go: Towards Open-World Text-to-Motion Generation
Does Google Scholar contain all highly cited documents (1950-2013)?
Localized Contrastive Learning on Graphs
Shape Modeling with Spline Partitions
Prospects for acoustically monitoring ecosystem tipping points
Deep Generative Modeling in Network Science with Applications to Public Policy Research
A Novel Efficient Approach with Data-Adaptive Capability for OMP-based Sparse Subspace Clustering
An Ontology-based Knowledge Management System for Industry Clusters
GTA: a new General Tensor Accelerator with Better Area Efficiency and Data Reuse
Stability of items: an experimental test
DAGs with NO TEARS: Smooth Optimization for Structure Learning
Large Deviations Principle for Discrete-time Mean-field Games
Lightweight Relevance Grader in RAG
DeepFlow: Serverless Large Language Model Serving at Scale
Clearing noisy annotations for computed tomography imaging
Generic Token Compression in Multimodal Large Language Models from an Explainability Perspective
Towards Aggregating Weighted Feature Attributions
Learning bounded subsets of L p
Deep Boltzmann Machines in Estimation of Distribution Algorithms for Combinatorial Optimization
Complex contraction on trees without proof of correlation decay
The impact of incorrect social information on collective wisdom in human groups
Deep ANN-based Touch-less 3D Pad for Digit Recognition
The Reasoning Trap: How Enhancing LLM Reasoning Amplifies Tool Hallucination
Exploring Information Processing in Large Language Models: Insights from Information Bottleneck Theory
BBS-KWS: The Mandarin Keyword Spotting System Won the Video Keyword Wakeup Challenge
Synthesis of Lyapunov Functions using Formal Verification
Training Autoregressive Speech Recognition Models with Limited in-domain Supervision
Video Ladder Networks
Structure preserving discretization method for 1D and 2D port-Hamiltonian systems using finite differences on staggered grids
DeepConvContext: A Multi-Scale Approach to Timeseries Classification in Human Activity Recognition
Distilling Knowledge from Deep Networks with Applications to Healthcare Domain
Mobile Data Service Adoption and Use from a Service Supply Perspective: An Empirical Investigation
Tools and Techniques for Managing Clusters for SciDAC Lattice QCD at Fermilab
Decting Errors in Reversible Circuits With Invariant Relationships
When Neural Model Meets NL2Code: A Survey
Online Writer Retrieval with Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach
Inter-Block Permuted Turbo Codes
Learning to Integrate Diffusion ODEs by Averaging the Derivatives
Progressive Target-Styled Feature Augmentation for Unsupervised Domain Adaptation on Point Clouds
Structured sparsity through convex optimization
Properties of Codes in the Johnson Scheme
Trail Trap: a variant of Partizan Edge Geography
Convolutional neural networks for classification and regression analysis of one-dimensional spectral data
Distributed Task Allocation for Multi-Agent Systems: A Submodular Optimization Approach
WIR3D: Visually-Informed and Geometry-Aware 3D Shape Abstraction
Unmask It! AI-Generated Product Review Detection in Dravidian Languages
Spectral-Adaptive Modulation Networks for Visual Perception
Stabilizing Open-Set Test-Time Adaptation via Primary-Auxiliary Filtering and Knowledge-Integrated Prediction
Wayfinding through an unfamiliar environment
On DDoS Attack Related Minimum Cut Problems
Mining Seasonal Temporal Patterns in Big Time Series
Maximizing the Number of Satisfied L-clauses
Questionnaires and Qualitative Feedback Methods to Measure User Experience in Mixed Reality
Are Today's LLMs Ready to Explain Well-Being Concepts?
A state-space approach to sparse dynamic network reconstruction
Hierarchy of knowledge translation: from health problems to ad-hoc drug design
Representation Learning for Audio Privacy Preservation using Source Separation and Robust Adversarial Learning
Immersed Boundary Method for the Complete Electrode Model in Electrical Impedance Tomography
An Augmented Lagrangian Based Parallelizable Nonconvex Solver for Bilinear Model Predictive Control
Reconstructing Strings from Substrings: Optimal Randomized and Average-Case Algorithms
A Convergence Theorem for the Graph Shift-type Algorithms
Using and Designing Platforms for In Vivo Education Experiments
Concurrent Neural Tree and Data Preprocessing AutoML for Image Classification
Uplink Throughput in a Single-Macrocell/Single-Microcell CDMA System, with Application to Data Access Points
Regression-Based Elastic Metric Learning on Shape Spaces of Elastic Curves
Semantic-aware Transmission Scheduling: a Monotonicity-driven Deep Reinforcement Learning Approach
Shifts 2.0: Extending The Dataset of Real Distributional Shifts
Causal discovery in the presence of missing data
Positive semidefinite support vector regression metric learning
A Reformulation of Gaussian Completely Monotone Conjecture: A Hodge Structure on the Fisher Information along Heat Flow
Quantitative aspects of linear and affine closed lambda terms
Abstraction Alignment: Comparing Model and Human Conceptual Relationships
Numerical methods to evaluate Koopman matrix from system equations
As easy as 1, 2... 4? Uncertainty in counting tasks for medical imaging
Mapping Big Data into Knowledge Space with Cognitive Cyber-Infrastructure
Amplifying Machine Learning Attacks Through Strategic Compositions
Towards Harnessing the Power of LLMs for ABAC Policy Mining
Clickbait Detection in YouTube Videos
Multi-Modal Temporal Attention Models for Crop Mapping from Satellite Time Series
Computing Possible and Certain Answers over Order-Incomplete Data
Bent and Z 2 k -bent functions from spread-like partitions
Gappy local conformal auto-encoders for heterogeneous data fusion: in praise of rigidity
A Multi-Modal Approach to Infer Image Affect
An agile and distributed mechanism for inter-domain network slicing in next generation mobile networks
What talking you?: Translating Code-Mixed Messaging Texts to English
A sparsity-aware distributed-memory algorithm for sparse-sparse matrix multiplication
Scaling the Number of Tasks in Continual Learning
Deepzzle: Solving Visual Jigsaw Puzzles with Deep Learning andShortest Path Optimization
A Llama walks into the 'Bar': Efficient Supervised Fine-Tuning for Legal Reasoning in the Multi-state Bar Exam
!MDP Playground: Meta-Features in Reinforcement Learning
Efficient computation of soliton gas primitive potentials
Methods for the construction of generators of algebraic curvature tensors
Hybrid Learning for Cold-Start-Aware Microservice Scheduling in Dynamic Edge Environments
Benchmarking Image Embeddings for E-Commerce: Evaluating Off-the Shelf Foundation Models, Fine-Tuning Strategies and Practical Trade-offs
Weak error rates for option pricing under the rough Bergomi model
A Bayesian Approach to Online Learning for Contextual Restless Bandits with Applications to Public Health
GPT Carry-On: Training Foundation Model for Customization Could Be Simple, Scalable and Affordable
Explaining Cybersecurity with Films and the Arts (Extended Abstract)
AutoPINN: When AutoML Meets Physics-Informed Neural Networks
NB-IoT Small Cell: A 3GPP Perspective
A Hierarchical Fused Quantum Fuzzy Neural Network for Image Classification
Causal Regularization Using Domain Priors
Data Analytics using Ontologies of Management Theories: Towards Implementing 'From Theory to Practice'
Action constrained quasi-Newton methods
VITA: A Multi-modal LLM-based System for Longitudinal, Autonomous, and Adaptive Robotic Mental Well-being Coaching
Architectural change in neural networks using fuzzy vertex pooling
Detecting Hallucinations in Virtual Histology with Neural Precursors
SecurePay: Enabling Secure and Fast Payment Processing for Platform Economy
An Exploration of Hot-Spots in Locimetric Passwords
Rate-Distortion Theory in Coding for Machines and its Application
Offline Evaluation of Reward-Optimizing Recommender Systems: The Case of Simulation
Sorting Methods and Adaptive Thresholding for Histogram Based Reversible Data Hiding
Linear Complementary Pairs of Algebraic Geometry Codes via Kummer Extensions
Decentralized Multi-Robot Target Encirclement in 3D Space
Compressing Deep Reinforcement Learning Networks with a Dynamic Structured Pruning Method for Autonomous Driving
Denoised Recommendation Model with Collaborative Signal Decoupling
Am I Building a White Box Agent or Interpreting a Black Box Agent?
Multi-query Vehicle Re-identification: Viewpoint-conditioned Network, Unified Dataset and New Metric
Sensitivity analysis of a mean-value exergy-based internal combustion engine model
ForestNet: Classifying Drivers of Deforestation in Indonesia using Deep Learning on Satellite Imagery
A Novel Method for Curating Quanti-Qualitative Content
Multiple Instance Learning with Bag Dissimilarities
Object-Centric Diagnosis of Visual Reasoning
SocioBench: Modeling Human Behavior in Sociological Surveys with Large Language Models
AMS-DRL: Learning Multi-Pursuit Evasion for Safe Targeted Navigation of Drones
An evaluation of pre-trained models for feature extraction in image classification
Phys4DGen: A Physics-Driven Framework for Controllable and Efficient 4D Content Generation from a Single Image
The AI_INFN Platform: Artificial Intelligence Development in the Cloud
Multi-Personality Partitioning for Heterogeneous Systems
MultiPrompter: Cooperative Prompt Optimization with Multi-Agent Reinforcement Learning
Evolutionary techniques in lattice sieving algorithms
Differentiable Autoencoding Neural Operator for Interpretable and Integrable Latent Space Modeling
MURP: Multi-Agent Ultra-Wideband Relative Pose Estimation with Constrained Communications in 3D Environments
A New Software Tool for Generating and Visualizing Robot Self-Collision Matrices
a novel attention-based network for fast salient object detection
Introducing Accountability to Anonymity Networks
Cross-chain Interaction Model In a Fully Verified Way
Adaptive Model Predictive Safety Certification for Learning-based Control - Extended Version
A separation logic for sequences in pointer programs and its decidability
Location based Probabilistic Load Forecasting of EV Charging Sites: Deep Transfer Learning with Multi-Quantile Temporal Convolutional Network
Personalised Serious Games and Gamification in Healthcare: Survey and Future Research Directions
Generalization Bounds for Magnitude-Based Pruning via Sparse Matrix Sketching
On Classification from Outlier View
Design and Optimization of VoD schemes with Client Caching in Wireless Multicast Networks
An Early Experience with Confidential Computing Architecture for On-Device Model Protection
A Query Tool for Efficiently Investigating Risky Software Behaviors
Private Information, Credit Risk and Graph Structure in P2P Lending Networks
A graded dependent type system with a usage-aware semantics (extended version)
Multi-Agent Hybrid SAC for Joint SS-DSA in CRNs
Optimal Heap Limits for Reducing Browser Memory Use
Dynamical system-based robot reaching motions by para-model control approach - A preliminary study
DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited Data
Towards Local Visual Modeling for Image Captioning
How Do Training Methods Influence the Utilization of Vision Models?
Neural Network-enabled Domain-consistent Robust Optimisation for Global CO 2 Reduction Potential of Gas Power Plants
Continuous Control With Ensemble Deep Deterministic Policy Gradients
Symbolic Snapshot Ensembles
Multi-Queues Can Be State-of-the-Art Priority Schedulers
ELF: Embedded Localisation of Features in pre-trained CNN
Improving Deep-learning-based Semi-supervised Audio Tagging with Mixup
Deep learning tutorial for denoising
CapHDR2IR: Caption-Driven Transfer from Visible Light to Infrared Domain
Multi-Valued Logic Gates, Continuous Sensitivity, Reversibility, and Threshold Functions
Composition of Nondeterministic and Stochastic Services for LTLf Task Specifications
AQUA: A Large Language Model for Aquaculture & Fisheries
Semantic Membership Inference Attack against Large Language Models
A Deep Learning Approach for Expert Identification in Question Answering Communities
Second-order Guarantees of Distributed Gradient Algorithms
A Transfer Learning Pipeline for Educational Resource Discovery with Application in Leading Paragraph Generation
Revisiting Meter Tracking in Carnatic Music using Deep Learning Approaches
A priori error estimates for compatible spectral discretization of the Stokes problem for all admissible boundary conditions
MKA: A Scalable Medical Knowledge Assisted Mechanism for Generative Models on Medical Conversation Tasks
Responsible AI Implementation: A Human-centered Framework for Accelerating the Innovation Process
Rainbow cycles for matchings, single edges, and triangles
Driver graph: the hidden geometry in controlling complex networks
PROFIT: A Specialized Optimizer for Deep Fine Tuning
Evaluating Prerequisite Qualities for Learning End-to-End Dialog Systems
Extreme time extrapolation capabilities and thermodynamic consistency of physics-inspired Neural Networks for the 3D microstructure evolution of materials
Transforming Butterflies into Graphs: Statistics of Chaotic and Turbulent Systems
What does mathoverflow tell us about the production of mathematics?
Frequentist perspective on robust parameter estimation using the ensemble Kalman filter
Nature-Inspired Optimization Algorithms: Research Direction and Survey
An Empirical Assessment of Security and Privacy Risks of Web based-Chatbots
Optimality vs Stability Trade-off in Ensemble Kalman Filters
Semantic Parsing to Manipulate Relational Database For a Management System
SMRVIS: Point cloud extraction from 3-D ultrasound for non-destructive testing
Scalable Drift Monitoring in Medical Imaging AI
Flow Level QoE of Video Streaming in Wireless Networks
Impact of Mobility on the Performance of Multicast Routing Protocols in MANET
Automatic lesion detection, segmentation and characterization via 3D multiscale morphological sifting in breast MRI
Extending simple drawings with one edge is hard
Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems
Concept-Based Masking: A Patch-Agnostic Defense Against Adversarial Patch Attacks
Large-scale Quantum Approximate Optimization via Divide-and-Conquer
InfGen: A Resolution-Agnostic Paradigm for Scalable Image Synthesis
GazeProphet: Software-Only Gaze Prediction for VR Foveated Rendering
On-the-Fly Data Augmentation for Brain Tumor Segmentation
Automatic Pollen Grain and Exine Segmentation from Microscope Images
Leveraging Foundation Models for Multimodal Graph-Based Action Recognition
Computational Complexity of the Minimum Cost Homomorphism Problem on Three-Element Domains
POLARIS: Is Multi-Agentic Reasoning the Next Wave in Engineering Self-Adaptive Systems?
Fast Dynamic Programming on Graph Decompositions
Virtual Piano using Computer Vision
Deconstructing Anomalies in Academic Promotion & Tenure Decisions Using Spectral Graph Theory
NeuZip: Memory-Efficient Training and Inference with Dynamic Compression of Neural Networks
Server-side verification of client behavior in cryptographic protocols
Privacy-Utility Tradeoff of OLS with Random Projections
Optimal Transport Features for Morphometric Population Analysis
Efficiency of Human Activity on Information Spreading on Twitter
A constrained transport divergence-free finite element method for Incompressible MHD equations
Explainability of Sub-Field Level Crop Yield Prediction using Remote Sensing
Type Inference for Bimorphic Recursion
Ranking Episodes using a Partition Model
Dual-Path Stable Soft Prompt Generation for Domain Generalization
Multi-Agent Planning under Local LTL Specifications and Event-Based Synchronization
GSA-Forecaster: Forecasting Graph-Based Time-Dependent Data with Graph Sequence Attention
Memoryless scalar quantization for random frames
New developments in parsing Mizar
Defending Graph Convolutional Networks against Dynamic Graph Perturbations via Bayesian Self-supervision
Learning and Free Energy in Expectation Consistent Approximate Inference
Using I4.0 digital twins in agriculture
Breaking Down Video LLM Benchmarks: Knowledge, Spatial Perception, or True Temporal Understanding?
Sample weighting as an explanation for mode collapse in generative adversarial networks