yusuke1997/dblp-id-title huggingface dataset:
Data-Driven Multi-step Demand Prediction for Ride-hailing Services Using Convolutional Neural Network
Flow-level performance of random wireless networks
Task allocation interface design and personalization in gamified participatory sensing for tourism
Reconfigurable Intelligent Surface-Enabled Green and Secure Offloading for Mobile Edge Computing Networks
A Novel Framework for Improving the Breakdown Point of Robust Regression Algorithms
AliTok: Towards Sequence Modeling Alignment between Tokenizer and Autoregressive Model
ElementaryNet: A Non-Strategic Neural Network for Predicting Human Behavior in Normal-Form Games
Deep Reinforcement Learning based Optimal Control of Hot Water Systems
Epistemic Signaling Games for Cyber Deception with Asymmetric Recognition
Faster Rates for training Max-Margin Markov Networks
Review of Core Process Representation in Power System Operational Models: Gaps, Challenges, and Opportunities for Multisector Dynamics Research
Inferring solar differential rotation and viscosity via passive imaging with inertial waves
Efficient Area-based and Speaker-Agnostic Source Separation
Early Development of UVM based Verification Environment of Image Signal Processing Designs using TLM Reference Model of RTL
High performance Lunar landing simulations
How Well Does First-Token Entropy Approximate Word Entropy as a Psycholinguistic Predictor?
The activity-weight duality in feed forward neural networks: The geometric determinants of generalization
Higher-order Quasi-Monte Carlo Training of Deep Neural Networks
Towards the Scalable Evaluation of Cooperativeness in Language Models
Do good actions inspire good actions in others?
Handling SQL Nulls with Two-Valued Logic
Large Language Model Guided Progressive Feature Alignment for Multimodal UAV Object Detection
Robot Health Indicator: A Visual Cue to Improve Level of Autonomy Switching Systems
DeepImageSpam: Deep Learning based Image Spam Detection
A new color image secret sharing protocol
3D Face Reconstruction With Geometry Details From a Single Color Image Under Occluded Scenes
Scaling Law Phenomena Across Regression Paradigms: Multiple and Kernel Approaches
Error Analysis and Numerical Algorithm for PDE Approximation with Hidden-Layer Concatenated Physics Informed Neural Networks
Decomposing Representation Space into Interpretable Subspaces with Unsupervised Learning
Rethinking Inter-LoRA Orthogonality in Adapter Merging: Insights from Orthogonal Monte Carlo Dropout
DeepDrum: An Adaptive Conditional Neural Network
Comment on "Ensemble Projection for Semi-supervised Image Classification"
AutoIRT: Calibrating Item Response Theory Models with Automated Machine Learning
Controlling Transaction Rate in Tangle Ledger: A Principal Agent Problem Approach
A Framework for Solving Turing Kernel (Compression) Lower Bound Problem and Finding Natural Candidate Problems in NP-intermediate
Generative Neural Video Compression via Video Diffusion Prior
Faster Maximium Priority Matchings in Bipartite Graphs
Puppet-CNN: Input-Adaptive Convolutional Neural Networks with Model Compression using Ordinary Differential Equation
The $z$-Transform and Automata-Recognizable Systems of Nonhomogeneous Linear Recurrence Equations over Semirings
Manifold meta-learning for reduced-complexity neural system identification
Deaf, Dumb, and Chatting Robots, Enabling Distributed Computation and Fault-Tolerance Among Stigmergic Robot
Knowledge-Aware Audio-Grounded Generative Slot Filling for Limited Annotated Data
Grounded Computation & Consciousness: A Framework for Exploring Consciousness in Machines & Other Organisms
Machine Learning in Compiler Optimisation
A Comparative Study on Reasoning Patterns of OpenAI's o1 Model
Internet Traffic Volumes Are Not Gaussian - They Are Log-Normal: An 18-Year Longitudinal Study With Implications for Modelling and Prediction
A Global-Local Emebdding Module for Fashion Landmark Detection
Leveraging Financial News for Stock Trend Prediction with Attention-Based Recurrent Neural Network
CSED: A Chinese Semantic Error Diagnosis Corpus
Few-shot Visual Reasoning with Meta-analogical Contrastive Learning
Compound Domain Adaptation in an Open World
Leveraging Large Models for Evaluating Novel Content: A Case Study on Advertisement Creativity
Revisiting Feature Alignment for One-stage Object Detection
Image Forgery Localization with State Space Models
Robust Deep Reinforcement Learning via Multi-View Information Bottleneck
Exposing DeepFakes via Hyperspectral Domain Mapping
From prosumer to flexumer: Case study on the value of flexibility in decarbonizing the multi-energy system of a manufacturing company
Hybrid Deep Learning Model for epileptic seizure classification by using 1D-CNN with multi-head attention mechanism
The Impact of Knowledge Silos on Responsible AI Practices in Journalism
LLMPopcorn: An Empirical Study of LLMs as Assistants for Popular Micro-video Generation
Mercator: uncovering faithful hyperbolic embeddings of complex networks
IML-ViT: Image Manipulation Localization by Vision Transformer
Building AI Service Repositories for On-Demand Service Orchestration in 6G AI-RAN
Causal Discovery in Linear Models with Unobserved Variables and Measurement Error
Cross-position Activity Recognition with Stratified Transfer Learning
Data-driven Product-Process Optimization of N-isopropylacrylamide Microgel Flow-Synthesis
Differentially Private SGD with Non-Smooth Loss
A Survey On Few-shot Knowledge Graph Completion with Structural and Commonsense Knowledge
End User Computing in AIB Capital Markets: A Management Summary
On the reduction of Linear Parameter-Varying State-Space models
Towards Reuse and Recycling of Lithium-ion Batteries: Tele-robotics for Disassembly of Electric Vehicle Batteries
Dehn-Sommerville from Gauss-Bonnet
Scenario Forecast of Cross-border Electric Interconnection towards Renewables in South America
Composite Matrices from Group Rings, Composite G-Codes and Constructions of Self-Dual Codes
Evaluating Dynamic File Striping For Lustre
Effect of Cloud Based Learning Management System on The Learning Management System Implementation Process: Faculty and Student Perspectives
Discrete-to-continuum limits of optimal transport with linear growth on periodic graphs
Deep Equivariant Hyperspheres
A data filling methodology for time series based on CNN and (Bi)LSTM neural networks
Comparing Variation in Tokenizer Outputs Using a Series of Problematic and Challenging Biomedical Sentences
SATURN - Software Deobfuscation Framework Based on LLVM
On the Fine-Grained Hardness of Inverting Generative Models
"How trustworthy is this research?" Designing a Tool to Help Readers Understand Evidence and Uncertainty in Science Journalism
On the Application of Total Traction Equilibrium in Topology Optimization of Fluid-Structure Interactions
Approximate Bayesian Neural Doppler Imaging
Experimental Validation of Feedback Optimization in Power Distribution Grids
Maximize Your Data's Potential: Enhancing LLM Accuracy with Two-Phase Pretraining
On Decision Support for Remote Industrial Facilities using the Collaborative Engineering Framework
GenHOI: Generalizing Text-driven 4D Human-Object Interaction Synthesis for Unseen Objects
MolMiner: You only look once for chemical structure recognition
Zeus: A System Description of the Two-Time Winner of the Collegiate SAE AutoDrive Competition
A Note on Quality of Experience (QoE) beyond Quality of Service (QoS) as the Baseline
Identification and Stabilization of Critical Clusters in Inverter-Based Microgrids
Machine learning for in-situ composition mapping in a self-driving magnetron sputtering system
VideoCoT: A Video Chain-of-Thought Dataset with Active Annotation Tool
Multi-target detection with application to cryo-electron microscopy
Succinct Navigational Oracles for Families of Intersection Graphs on a Circle
SeCon-RAG: A Two-Stage Semantic Filtering and Conflict-Free Framework for Trustworthy RAG
DEMO: RTKiller - manipulation of GNSS RTK rovers by reference base spoofing
Benchmarking Accuracy in an Emulated Memory Experiment
Generator Contingency Modeling in Electric Energy Markets: Derivation of Prices via Duality Theory
Can Large Language Models Simulate Symbolic Execution Output Like KLEE?
Learning by Analogy: A Causal Framework for Composition Generalization
Leverage Variational Graph Representation For Model Poisoning on Federated Learning
ReDDiT: Rehashing Noise for Discrete Visual Generation
Monoidal Categories for Formal Concept Analysis
Federated Graph Contrastive Learning
Sem-DPO: Mitigating Semantic Inconsistency in Preference Optimization for Prompt Engineering
Uniform strong and weak error estimates for numerical schemes applied to multiscale SDEs in a Smoluchowski-Kramers diffusion approximation regime
Almost-global tracking of the unactuated joint in a pendubot
Curating Social Media Data
Graph Retrieval Augmented Trustworthiness Reasoning
Estimating the Resize Parameter in End-to-end Learned Image Compression
Deep Learning for Wrist Fracture Detection: Are We There Yet?
Conditional cooperation with longer memory
Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models
OpenMP behavior in low resource and high stress mobile environment
Pattern recognition by optically induced surface currents in a magnetic neural network
Tight Bounds on The Clique Chromatic Number
Enhancing LLM-Based Neural Network Generation: Few-Shot Prompting and Efficient Validation for Automated Architecture Design
Multi-Person 3D Pose Estimation from Multi-View Uncalibrated Depth Cameras
Combat AI With AI: Counteract Machine-Generated Fake Restaurant Reviews on Social Media
An Augmented Index-based Efficient Community Search for Large Directed Graphs
Unit Dependency Graph and its Application to Arithmetic Word Problem Solving
Monotonous (Semi-)Nonnegative Matrix Factorization
Distributed Zonotopic Fusion Estimation for Multi-sensor Systems
Persistent homology for low-complexity models
Integration of Domain Knowledge using Medical Knowledge Graph Deep Learning for Cancer Phenotyping
Entity Linking via Dual and Cross-Attention Encoders
Minimization of the Worst-Case Average Energy Consumption in UAV-Assisted IoT Networks
A Polynomial Description of the Rijndael Advanced Encryption Standard
Node Failure Localisation Problem for Load Balancing Dynamic Networks
Learning Sparse Approximate Inverse Preconditioners for Conjugate Gradient Solvers on GPUs
Searching for Replacement Classes
Towards Spatially-Varying Gain and Binning
PEDAL: Enhancing Greedy Decoding with Large Language Models using Diverse Exemplars
The Category-Theoretic Arithmetic of Information
Binary Stochastic Filtering: a Solution for Supervised Feature Selection and Neural Network Shape Optimization
Hierarchical Pattern Decryption Methodology for Ransomware Detection Using Probabilistic Cryptographic Footprints
Coupled Physics-Gated Adaptation: Spatially Decoding Volumetric Photochemical Conversion in Complex 3D-Printed Objects
Exposition on over-squashing problem on GNNs: Current Methods, Benchmarks and Challenges
Accurate quadrature of nearly singular line integrals in two and three dimensions by singularity swapping
Time to timestamp: opportunistic cooperative localization from reception time measurements
When Models Reason in Your Language: Controlling Thinking Trace Language Comes at the Cost of Accuracy
Secure and Privacy-Preserving Authentication Protocols for Wireless Mesh Networks
A Black Swan Hypothesis in Markov Decision Process via Irrationality
Mode Consensus Algorithms With Finite Convergence Time
Technical Report for Valence-Arousal Estimation on Affwild2 Dataset
Nearest Neighbor Network Traversal
Reduced order methods for parametric flow control problems and applications
Deep Optics for Single-shot High-dynamic-range Imaging
AMaPO: Adaptive Margin-attached Preference Optimization for Language Model Alignment
Autoencoder, Principal Component Analysis and Support Vector Regression for Data Imputation
How are journals cited? characterizing journal citations by type of citation
Incremental units-of-measure verification
PrivacyNet: Semi-Adversarial Networks for Multi-attribute Face Privacy
$n$-permutability and linear Datalog implies symmetric Datalog
Community Detection Using A Neighborhood Strength Driven Label Propagation Algorithm
3-SAT Problem A New Memetic-PSO Algorithm
Batch Active Learning in Gaussian Process Regression using Derivatives
Structural index reduction algorithms for differential algebraic equations via fixed-point iteration
Energy Costs for Traffic Offloading by Cache-enabled D2D Communications
Methods to improve run time of hydrologic models: opportunities and challenges in the machine learning era
Anti-Tamper Protection for Internet of Things System Using Hyperledger Fabric Blockchain Technology
On computing the $2$-vertex-connected components of directed graphs
MOOSE-Chem2: Exploring LLM Limits in Fine-Grained Scientific Hypothesis Discovery via Hierarchical Search
Session-Based Recommendation with Validated and Enriched LLM Intents
Evolution of central pattern generators for the control of a five-link planar bipedal walking mechanism
Competency Model Approach to AI Literacy: Research-based Path from Initial Framework to Model
Dynamic Network Embedding Survey
Multi-Agent Phase-Balancing around Polar Curves with Bounded Trajectories: An Experimental Study using Crazyflies and MoCap System
Ultimate boundedness of droop controlled Microgrids with secondary loops
Towards the Solution of Power Dissipation in Electronics Systems through Thermodynamics
Bridging Diffusion Models and 3D Representations: A 3D Consistent Super-Resolution Framework
Active Interaction Force Control for Omnidirectional Aerial Contact-Based Inspection
A Finite-Volume Method for Fluctuating Dynamical Density Functional Theory
Intensity Particle Flow SMC-PHD Filter For Audio Speaker Tracking
Accelerate Intermittent Deep Inference
Learning Macro-actions for State-Space Planning
End-to-end Face-swapping via Adaptive Latent Representation Learning
The Equilibrium Hypothesis: Rethinking implicit regularization in Deep Neural Networks
Escaping The Big Data Paradigm in Self-Supervised Representation Learning
M3FAS: An Accurate and Robust MultiModal Mobile Face Anti-Spoofing System
VIbCReg: Variance-Invariance-better-Covariance Regularization for Self-Supervised Learning on Time Series
Distributed Multi-task Formation Control under Parametric Communication Uncertainties
ProDER: A Continual Learning Approach for Fault Prediction in Evolving Smart Grids
ScoreHOI: Physically Plausible Reconstruction of Human-Object Interaction via Score-Guided Diffusion
Quantum Speed-ups for Semidefinite Programming
Theoretical Insights for Diffusion Guidance: A Case Study for Gaussian Mixture Models
Report on NSF Workshop on Science of Safe AI
An Interpretable Machine Learning Approach to Understanding the Relationships between Solar Flares and Source Active Regions
Intensity-only optical compressive imaging using a multiply scattering material : a double phase retrieval system
Irradiation Tests for Commercial Off-the Shelf Components with Atmospheric-like Neutrons and Heavy-Ions
Stochastic Formulation of Causal Digital Twin: Kalman Filter Algorithm
DIMBA: Discretely Masked Black-Box Attack in Single Object Tracking
CrafterDojo: A Suite of Foundation Models for Building Open-Ended Embodied Agents in Crafter
Analysis and Diversion of Duqu's Driver
Software Sustainability & High Energy Physics
Beyond Fixed Tasks: Unsupervised Environment Design for Task-Level Pairs
Communication and Interference Coordination
PRIMA: Planner-Reasoner Inside a Multi-task Reasoning Agent
CUBES: A Parallel Synthesizer for SQL Using Examples
Reconfigurable co-processor architecture with limited numerical precision to accelerate deep convolutional neural networks
Evolving winning strategies for Nim-like games
DeepQA: Improving the estimation of single protein model quality with deep belief networks
Linux-Tomcat Application Performance on Amazon AWS
A Lightweight Machine Learning Assisted Power Optimization for Minimum Error in NOMA-CRS over Nakagami-m channels
Exposing individual differences through network topology
How Does Beam Search improve Span-Level Confidence Estimation in Generative Sequence Labeling?
Generating Human-Like Movement: A Comparison Between Two Approaches Based on Environmental Features
Image-based Face Detection and Recognition: "State of the Art"
Why You Can't Beat Blockchains: Consistency and High Availability in Distributed Systems
Orthogonal Gated Recurrent Unit with Neumann-Cayley Transformation
AI for Open Science: A Multi-Agent Perspective for Ethically Translating Data to Knowledge
Shaping Initial State Prevents Modality Competition in Multi-modal Fusion: A Two-stage Scheduling Framework via Fast Partial Information Decomposition
Understanding and Improving Multi-Sense Word Embeddings via Extended Robust Principal Component Analysis
concurrentKanren: miniKanren for parallel execution
Optimal Low-Degree Hardness of Maximum Independent Set
Near approximation of maximum weight matching through efficient weight reduction
Large-Margin Classification with Multiple Decision Rules
Learning 2D-3D Correspondences To Solve The Blind Perspective-n-Point Problem
Heterogeneous information network model for equipment-standard system
GRAN is superior to GraphRNN: node orderings, kernel- and graph embeddings-based metrics for graph generators
SRLCG: Self-Rectified Large-Scale Code Generation with Multidimensional Chain-of-Thought and Dynamic Backtracking
A classification of invasive patterns in AOP
Deep Learning Based Code Generation Methods: A Literature Review
Dual-band bandpass filter derived from the transformation of a single-band bandpass filter
The Medusa of Spatial Sorting: 3D Kinetic Alpha Complexes and Implementation
Hallucinated Adversarial Learning for Robust Visual Tracking
Sentient: Multi-Scenario Behavioral Intent Analysis for Advanced Persistent Threat Detection
Types for BioAmbients
Quantifying Triadic Closure in Multi-Edge Social Networks
OcTr: Octree-based Transformer for 3D Object Detection
Conformal Prediction Sets with Improved Conditional Coverage using Trust Scores
Paying Attention to Function Words
Recommender May Not Favor Loyal Users
Competitive Equilibrium with Generic Budgets: Beyond Additive
Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluation
XCRYPT: Accelerating Lattice Based Cryptography with Memristor Crossbar Arrays
Mixing Human Demonstrations with Self-Exploration in Experience Replay for Deep Reinforcement Learning
Impacts of transport development on residence choice of renter households: An agent-based evaluation
Toward single particle reconstruction without particle picking: Breaking the detection limit
EfficientTempNet: Temporal Super-Resolution of Radar Rainfall
Kling-Avatar: Grounding Multimodal Instructions for Cascaded Long-Duration Avatar Animation Synthesis
Distributionally Robust Reduced Rank Regression and Principal Component Analysis in High Dimensions
SciReplicate-Bench: Benchmarking LLMs in Agent-driven Algorithmic Reproduction from Research Papers
Designing a Cyber-security Culture Assessment Survey Targeting Critical Infrastructures During Covid-19 Crisis
Recurrent Multi-view Alignment Network for Unsupervised Surface Registration
Optimal Erasure Codes and Codes on Graphs
The Sparse Frontier: Sparse Attention Trade-offs in Transformer LLMs
When Does Your Brain Know You? Segment Length and Its Impact on EEG-based Biometric Authentication Accuracy
MedFLIP: Medical Vision-and-Language Self-supervised Fast Pre-Training with Masked Autoencoder
Leakage Rate Analysis for Artificial Noise Assisted Massive MIMO with Non-coherent Passive Eavesdropper in Block-fading
Extracting Linguistic Resources from the Web for Concept-to-Text Generation
An Analysis of Attention over Clinical Notes for Predictive Tasks
A New First-Order Meta-Learning Algorithm with Convergence Guarantees
A variational neural network approach for glacier modelling with nonlinear rheology
ComMer: a Framework for Compressing and Merging User Data for Personalization
When Ads Become Profiles: Large-Scale Audit of Algorithmic Biases and LLM Profiling Risks
Pre-processing and Compression: Understanding Hidden Representation Refinement Across Imaging Domains via Intrinsic Dimension
Mechanism Design Theory in Control Engineering: A Tutorial and Overview of Applications in Communication, Power Grid, Transportation, and Security Systems
Orthogonal polynomial approximation and Extended Dynamic Mode Decomposition in chaos
What About Taking Policy as Input of Value Function: Policy-extended Value Function Approximator
DeAR: A Deep-learning-based Audio Re-recording Resilient Watermarking
Risk Consistent Multi-Class Learning from Label Proportions
Continuous optimization
MASH: A Multiplatform and Multimodal Annotated Dataset for Societal Impact of Hurricane
A Dynamic Tracing Model for Agile Software Product Lines Domain Engineering from Features to Structural Elements: An Approach Based on Dynamic Routing
Truly Concurrent Process Algebra with Localities
A random energy approach to deep learning
CNN-based fully automatic mitral valve extraction using CT images and existence probability maps
The EAP-AIAS: Adapting the AI Assessment Scale for English for Academic Purposes
Understanding Generalization via Set Theory
Cross-Model Consensus of Explanations and Beyond for Image Classification Models: An Empirical Study
Random Feature Maps via a Layered Random Projection (LaRP) Framework for Object Classification
byteSteady: Fast Classification Using Byte-Level n-Gram Embeddings
BARCOR: Towards A Unified Framework for Conversational Recommendation Systems
Scheduling the Charge of Temporally Flexible Electric Vehicles: a Market-based Approach
Fast and reconfigurable sort-in-memory system enabled by memristors
How Do Vision-Language Models Process Conflicting Information Across Modalities?
A Detailed Comparative Analysis of Blockchain Consensus Mechanisms
Data Hiding in Binary Image using Block Parity
Automated Cybersecurity Compliance and Threat Response Using AI, Blockchain & Smart Contracts
Joint inversion of Time-Lapse Surface Gravity and Seismic Data for Monitoring of 3D CO 2 Plumes via Deep Learning
ImmunoDiff: A Diffusion Model for Immunotherapy Response Prediction in Lung Cancer
Adopting Microservices and DevOps in the Cyber-Physical Systems Domain: A Rapid Review and Case Study
Enhancing Uncertainty Estimation in LLMs with Expectation of Aggregated Internal Belief
MSTS: A Multimodal Safety Test Suite for Vision-Language Models
FedLALR: Client-Specific Adaptive Learning Rates Achieve Linear Speedup for Non-IID Data
TransLight: Image-Guided Customized Lighting Control with Generative Decoupling
Game of Trojans: A Submodular Byzantine Approach
Semi-supervised segmentation of land cover images using nonlinear canonical correlation analysis with multiple features and t-SNE
Bao: Learning to Steer Query Optimizers
Worsening Perception: Real-time Degradation of Autonomous Vehicle Perception Performance for Simulation of Adverse Weather Conditions
Short-duration Speaker Verification (SdSV) Challenge 2020: the Challenge Evaluation Plan
Degrees of Undecidability in Rewriting
Mechanistic interpretability for steering vision-language-action models
The Right to be Forgotten in Pruning: Unveil Machine Unlearning on Sparse Models
DLM-One: Diffusion Language Models for One-Step Sequence Generation
Nonlinear SVD with Asymmetric Kernels: feature learning and asymmetric Nyström method
Investigations on the Influence of Combined Inter-Aural Cue Distortions on Overall Audio Quality
SpaceNLI: Evaluating the Consistency of Predicting Inferences in Space
Mathematical foundation of Information Field Dynamics (revised version)
Scavenger+: Revisiting Space-Time Tradeoffs in Key-Value Separated LSM-trees
PALQO: Physics-informed Model for Accelerating Large-scale Quantum Optimization
ReXCL: A Tool for Requirement Document Extraction and Classification
Data-Driven Wind Turbine Wake Modeling via Probabilistic Machine Learning
Financial Fraud Detection: A Comparative Study of Quantum Machine Learning Models
QMUL-SDS @ DIACR-ITA Evaluating Unsupervised Diachronic Lexical Semantics Classification in Italian