yusuke1997/dblp-id-title huggingface dataset:
An Optimization Problem for Day-Ahead Planning of Electrical Energy Aggregators
Dynamic Reconstruction of Deformable Soft-tissue with Stereo Scope in Minimal Invasive Surgery
Computational topology for configuration spaces of hard disks
Two Counterexamples Concerning the Scott Topology on a Partial Order
Domain-Specific Pretraining Improves Confidence in Whole Slide Image Classification
TurKPF: TurKontrol as a Particle Filter
A Quantitative Analysis and Guideline of Data Streaming Accelerator in Intel 4th Gen Xeon Scalable Processors
Filling a Hole in a Crease Pattern: Isometric Mapping from Prescribed Boundary Folding
Fault diagnosis for three-phase PWM rectifier based on deep feedforward network with transient synthetic features
Attention-Based Self-Supervised Feature Learning for Security Data
U2++: Unified Two-pass Bidirectional End-to-end Model for Speech Recognition
Fair Credit Scorer through Bayesian Approach
Is Implicit Knowledge Enough for LLMs? A RAG Approach for Tree-based Structures
Video Summarization with Long Short-term Memory
Improving Mandarin Speech Recogntion with Block-augmented Transformer
Modeling Political Discourse with Sentence-BERT and BERTopic
Mitigating Catastrophic Forgetting in Multi-domain Chinese Spelling Correction by Multi-stage Knowledge Transfer Framework
A Self-stabilizing Cellular Automata Model For Pulse-coupled Biological Oscillators
Greed is Super: A Fast Algorithm for Super-Resolution
LVMark: Robust Watermark for latent video diffusion models
Leveraging AI for Natural Disaster Management : Takeaways From The Moroccan Earthquake
Query Answering under Volume-Based Diversity Functions
Improving Data Reliability in Germany's Energy System: A Validation of Unit Locations of the Marktstammdatenregister
Join-continuity + Hypercontinuity = Prime continuity
Learning with Signatures
Artificial Brain Based on Credible Neural Circuits in a Human Brain
2nd-order Updates with 1st-order Complexity
Beyond Human Preferences: Exploring Reinforcement Learning Trajectory Evaluation and Improvement through LLMs
EdVAE: Mitigating Codebook Collapse with Evidential Discrete Variational Autoencoders
Under the Surface: Tracking the Artifactuality of LLM-Generated Data
Provable Bounds on the Hessian of Neural Networks: Derivative-Preserving Reachability Analysis
STDP enhances learning by backpropagation in a spiking neural network
SG-Adapter: Enhancing Text-to-Image Generation with Scene Graph Guidance
Effective Action Recognition with Embedded Key Point Shifts
Evolving Alignment via Asymmetric Self-Play
Advancing SLM Tool-Use Capability using Reinforcement Learning
Cross-directional Feature Fusion Network for Building Damage Assessment from Satellite Imagery
A Low-cost Humanoid Prototype Intended to assist people with disability using Raspberry Pi
The Metric-FF Planning System: Translating "Ignoring Delete Lists" to Numeric State Variables
A Combinatorial Study of Linear Deterministic Relay Networks
Momentum-conserving ROMs for the incompressible Navier-Stokes equations
A Graph Data Structure to Optimize Dynamic Graph Processing on GPUs
Robust Generalization of Quadratic Neural Networks via Function Identification
Improve Cross-lingual Voice Cloning Using Low-quality Code-switched Data
Stability Certificates for Receding Horizon Games
Device Independent Quantum Secret Sharing Using Multiparty Pseudo-telepathy Game
Maximizing the Influence: Analytic Activation Probability Computation Approach
UNB StepUP: A footStep database for gait analysis and recognition using Underfoot Pressure
Quaternion Approximation Networks for Enhanced Image Classification and Oriented Object Detection
Learning optical flow from still images
Globally Optimal Crowdsourcing Quality Management: Full technical report
Rank-One Editing of Encoder-Decoder Models
Designing Privacy-aware Internet of Things Applications
Trellis: Learning to Compress Key-Value Memory in Attention Models
Axiomatic characterizations of dissimilarity orderings and distances between sets
Personalized Recommendations via Active Utility-based Pairwise Sampling
Introduction to Concentration Inequalities
A Protocol for Compliant, Obliviously Managed Electronic Transfers
Low-Resource Dialect Adaptation of Large Language Models: A French Dialect Case-Study
Privacy-preserving Intelligent Resource Allocation for Federated Edge Learning in Quantum Internet
Managing Distributed Software Development in the Virtual Astronomical Observatory
Probabilistic Models over Ordered Partitions with Application in Learning to Rank
On the utility of power spectral techniques with feature selection techniques for effective mental task classification in noninvasive BCI
Instruction Scheduling in the Saturn Vector Unit
PRISM Lite: A lightweight model for interactive 3D placenta segmentation in ultrasound
Desirability and social rankings
Harnessing the Power of ChatGPT in Fake News: An In-Depth Exploration in Generation, Detection and Explanation
Tagging with DHARMA, a DHT-based Approach for Resource Mapping through Approximation
Coverage Analysis for UAV-Assisted Cellular Networks in Rural Areas
Optimal Workload Placement on Multi-Instance GPUs
GraphRepo: Fast Exploration in Software Repository Mining
Constructive Non-Linear Polynomial Cryptanalysis of a Historical Block Cipher
After-Stroke Arm Paresis Detection using Kinematic Data
Towards Smaller, Faster, and Greener Language Models of Code
Computational Cognitive Modeling to understand the effects of Racializing AI on Human-AI cooperation with PigChase Task
Inference and Influence of Large-Scale Social Networks Using Snapshot Population Behaviour without Network Data
Hashigo: A Next Generation Sketch Interactive System for Japanese Kanji
An Erdős--Ko--Rado theorem for matchings in the complete graph
Uncrossed Multiflows and Applications to Disjoint Paths
Privacy-preserving Similarity Calculation of Speaker Features Using Fully Homomorphic Encryption
T3DRIS: Advancing Conformal RIS Design through In-depth Analysis of Mutual Coupling Effects
Multilingual Text-to-Image Person Retrieval via Bidirectional Relation Reasoning and Aligning
Detectability of Symbol Manipulation by an Amplify-and-Forward Relay
Unsupervised Domain Adaptation Learning Algorithm for RGB-D Staircase Recognition
GPU-Accelerated BWT Construction for Large Collection of Short Reads
QOPS: A Compiler Framework for Quantum Circuit Simulation Acceleration with Profile Guided Optimizations
Adaptive Estimation for Approximate k-Nearest-Neighbor Computations
Developer Experience: Concept and Definition
A year in the life of a large scale experimental distributed system: the Grid'5000 platform in 2008
Semi-Supervised Learning of Mutually Accelerated Multi-Contrast MRI Synthesis without Fully-Sampled Ground-Truths
Multifractal-spectral features enhance classification of anomalous diffusion
Distributed and Scalable Optimization for Robust Proton Treatment Planning
Cocktail: Leveraging Ensemble Learning for Optimized Model Serving in Public Cloud
Consensus-based Distributed Quantile Estimation in Sensor Networks
Multi-view information fusion using multi-view variational autoencoders to predict proximal femoral strength
Function-Space Regularization for Deep Bayesian Classification
Robust Estimation for Kernel Exponential Families with Smoothed Total Variation Distances
Characterization of Model-Based Detectors for CPS Sensor Faults/Attacks
Revisiting the Set Cover Conjecture
Proceedings of the Twenty-Second Conference on Uncertainty in Artificial Intelligence (2006)
OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving
Domain Expansion in DNN-based Acoustic Models for Robust Speech Recognition
Anticipatory Mobile Digital Health: Towards Personalised Proactive Therapies and Prevention Strategies
Online Feature Selection for Activity Recognition using Reinforcement Learning with Multiple Feedback
Towards Constraint-Based Adaptive Hypergraph Learning for Solving Vehicle Routing: An End-to-End Solution
Midtraining Bridges Pretraining and Posttraining Distributions
An Analysis of General Fuzzy Logic and Fuzzy Reasoning Method
Including steady-state information in nonlinear models: an application to the development of soft-sensors
Scaling Offline RL via Efficient and Expressive Shortcut Models
An Operational Kardashev-Style Scale for Autonomous AI - Towards AGI and Superintelligence
Rally and WebScience: A Platform and Toolkit for Browser-Based Research on Technology and Society Problems
Efficiently Adversarial Examples Generation for Visual-Language Models under Targeted Transfer Scenarios using Diffusion Models
QoS Based Dynamic Web Services Composition & Execution
Oil and Gas Pipeline Monitoring during COVID-19 Pandemic via Unmanned Aerial Vehicle
From Binary to Continuous: Stochastic Re-Weighting for Robust Graph Explanation
Energy Experience Design
Drug Repurposing Targeting COVID-19 3CL Protease using Molecular Docking and Machine Learning Regression Approach
Direct Coloring for Self-Supervised Enhanced Feature Decoupling
Faithful Density-Peaks Clustering via Matrix Computations on MPI Parallelization System
Block DCT filtering using vector processing
Dynamic Estimates of Displacement in Disaster Regions: A Policy-driven framework triangulating data
Fault Detection and Isolation of Satellite Gyroscopes Using Relative Positions in Formation Flying
INSIGHT: INference-time Sequence Introspection for Generating Help Triggers in Vision-Language-Action Models
Amphista: Accelerate LLM Inference with Bi-directional Multiple Drafting Heads in a Non-autoregressive Style
Decentralized event-triggered control over wireless sensor/actuator networks
Exponentially Stable Combined Adaptive Control under Finite Excitation Condition
Clustering of random scale-free networks
Additive Multi-Index Gaussian process modeling, with application to multi-physics surrogate modeling of the quark-gluon plasma
Data/moment-driven approaches for fast predictive control of collective dynamics
Multi-Granularity Semantic Revision for Large Language Model Distillation
Meta-Learning Symmetries by Reparameterization
Timed Consistent Network Updates
Real-time Cross-modal Cybersickness Prediction in Virtual Reality
The Microsoft 2016 Conversational Speech Recognition System
CyberRadar: A PUF-based Detecting and Mapping Framework for Physical Devices
Message Transmission and Common Randomness Generation over MIMO Slow Fading Channels with Arbitrary Channel State Distribution
Practical Issues of Energy Harvesting and Data Transmissions in Sustainable IoT
Safety Cases: A Scalable Approach to Frontier AI Safety
Random forests, sound symbolism and Pokemon evolution
Demographic Dependence of Vaccine Adoption under Opinion Persuasion
CreDes: Causal Reasoning Enhancement and Dual-End Searching for Solving Long-Range Reasoning Problems using LLMs
AbHE: All Attention-based Homography Estimation
DataCook: Crafting Anti-Adversarial Examples for Healthcare Data Copyright Protection
Ditto: Elastic Confidential VMs with Secure and Dynamic CPU Scaling
Reasoning About Reasoning: Towards Informed and Reflective Use of LLM Reasoning in HCI
Multi-Vehicle Cooperative Control Using Mixed Integer Linear Programming
On Computing Optimal Locally Gabriel Graphs
CLIFT: a Cross-Layer InFormation Tool to perform cross-layer analysis based on real physical traces
Compressing Deep Neural Networks: A New Hashing Pipeline Using Kac's Random Walk Matrices
Constrained Mutual Convex Cone Method for Image Set Based Recognition
MARIS: Referring Image Segmentation via Mutual-Aware Attention Features
Textured Word-As-Image illustration
Revisiting Trace Norm Minimization for Tensor Tucker Completion: A Direct Multilinear Rank Learning Approach
An Effective Way for Cross-Market Recommendation with Hybrid Pre-Ranking and Ranking Models
Statistics of Deep Generated Images
Speaker Identification using EEG
Estimation of the Area and Precipitation Associated with a Tropical Cyclone Biparjoy by using Image Processing
DreamInpainter: Text-Guided Subject-Driven Image Inpainting with Diffusion Models
Assigning Shadow Prices to Synthetic Inertia and Frequency Response Reserves from Renewable Energy Sources
KnowSR: Knowledge Sharing among Homogeneous Agents in Multi-agent Reinforcement Learning
Scene Graph Generation from Objects, Phrases and Caption Regions
Optimal Selective Attention in Reactive Agents
Adding machine learning within Hamiltonians: Renormalization group transformations, symmetry breaking and restoration
FedDTPT: Federated Discrete and Transferable Prompt Tuning for Black-Box Large Language Models
Adversarial Learning: A Critical Review and Active Learning Study
Embedding K3, 3 and K5 on the Double Torus
Traffic Flow Prediction via Variational Bayesian Inference-based Encoder-Decoder Framework
Learning to Reason in Structured In-context Environments with Reinforcement Learning
Using an Automated Heterogeneous Robotic System for Radiation Surveys
A Systematic Review on Human Modeling: Digging into Human Digital Twin Implementations
Learning to Predict the 3D Layout of a Scene
On the Power Allocation Limits for Downlink Multi-user NOMA with QoS
Secured Fiscal Credit Model: Multi-Agent Systems And Decentralized Autonomous Organisations For Tax Credit's Tracking
Jacobian-Scaled K-means Clustering for Physics-Informed Segmentation of Reacting Flows
R1-T1: Fully Incentivizing Translation Capability in LLMs via Reasoning Learning
DADA-2000: Can Driving Accident be Predicted by Driver Attention? Analyzed by A Benchmark
A Decentralized Local Flexibility Market for Local Energy Communities to Mitigate Grid Congestion: A Case Study in Sweden
Runnable Directories: The Solution to the Monorepo vs. Multi-repo Debate
Efficient Commercial Bank Customer Credit Risk Assessment Based on LightGBM and Feature Engineering
On the power of nonstandard quantum oracles
SSLayout360: Semi-Supervised Indoor Layout Estimation from 360-Degree Panorama
Lexo: Eliminating Stealthy Supply-Chain Attacks via LLM-Assisted Program Regeneration
Dimensionality Reduction for Remote Sensing Data Analysis: A Systematic Review of Methods and Applications
NormalView: sensor-agnostic tree species classification from backpack and aerial lidar data using geometric projections
Edit-DiffNeRF: Editing 3D Neural Radiance Fields using 2D Diffusion Model
Network Quantization with Element-wise Gradient Scaling
CRUST-Bench: A Comprehensive Benchmark for C-to-safe-Rust Transpilation
Fractal Impedance for Passive Controllers
Automatic Image Colourizer
AI Literacy in UAE Libraries: Assessing Competencies, Training Needs, and Ethical Considerations for the Digital Age
Time series model selection with a meta-learning approach; evidence from a pool of forecasting algorithms
Text Detection on Technical Drawings for the Digitization of Brown-field Processes
A Combined Deep-Learning and Deformable-Model Approach to Fully Automatic Segmentation of the Left Ventricle in Cardiac MRI
Orthographic Structuring of Human Speech and Texts: Linguistic Application of Recurrence Quantification Analysis
Towards a 3D Transfer-based Black-box Attack via Critical Feature Guidance
Risk-Sensitive RL for Alleviating Exploration Dilemmas in Large Language Models
CLIProv: A Contrastive Log-to-Intelligence Multimodal Approach for Threat Detection and Provenance Analysis
An Empirical Study and Analysis of the Dynamic Load Balancing Techniques Used in Parallel Computing Systems
Sum Capacity Loss Quantification With Optimal and Sub-Optimal Precoding in Heterogeneous Multiuser Channels
Chaos Engineering in the Wild: Findings from GitHub
Large-scale Datasets: Faces with Partial Occlusions and Pose Variations in the Wild
Princeton365: A Diverse Dataset with Accurate Camera Pose
Perspectra: Choosing Your Experts Enhances Critical Thinking in Multi-Agent Research Ideation
A Multi-Task Benchmark for Abusive Language Detection in Low-Resource Settings
Flexure-FET-Based Receiver with Competitive Binding for Interference Mitigation in Molecular Communication
Channel Vector Subspace Estimation from Low-Dimensional Projections
ActiveRAG: Revealing the Treasures of Knowledge via Active Learning
Topic Extraction and Bundling of Related Scientific Articles
Visual Multi-Object Tracking with Re-Identification and Occlusion Handling using Labeled Random Finite Sets
Kernelization of Discrete Optimization Problems on Parallel Architectures
Explanatory Argument Extraction of Correct Answers in Resident Medical Exams
Unified Error Analysis for Synchronous and Asynchronous Two-User Random Access
Multivariate Rational Approximation of Scattered Data Using the p-AAA Algorithm
Beware of Discarding Used SRAMs: Information is Stored Permanently
Streaming Sequence-to-Sequence Learning with Delayed Streams Modeling
The optimal strong convergence rates of the truncated EM and logarithmic truncated EM methods for multi-dimensional nonlinear stochastic differential equations
Holistic Grid-Forming Control for HVDC-Connected Offshore Wind Power Plants to Provide Frequency Response
Eyes Can Deceive: Benchmarking Counterfactual Reasoning Abilities of Multi-modal Large Language Models
On the Parameterized Complexity of Deletion to H-free Strong Components
Entity-Specific Cyber Risk Assessment using InsurTech Empowered Risk Factors
Asymptotically Optimal Belief Space Planning in Discrete Partially-Observable Domains
Time Complexity of Broadcast and Consensus for Randomized Oblivious Message Adversaries
Connectivity Preserving Decentralized UAV Swarm Navigation in Obstacle-laden Environments without Explicit Communication
Can AI Solve the Peer Review Crisis? A Large Scale Experiment on LLM's Performance and Biases in Evaluating Economics Papers
Is Fine-Tuning an Effective Solution? Reassessing Knowledge Editing for Unstructured Data
Invasive Computing - Common Terms and Granularity of Invasion
Implicitly Maximizing Margins with the Hinge Loss
CosyPose: Consistent multi-view multi-object 6D pose estimation
Finite Automata Extraction: Low-data World Model Learning as Programs from Gameplay Video
More Practical Scenario of Open-set Object Detection: Open at Category Level and Closed at Super-category Level
Learning to Ground VLMs without Forgetting
Deep Neural Network Approximation of Invariant Functions through Dynamical Systems
UGAE: Unified Geometry and Attribute Enhancement for G-PCC Compressed Point Clouds
Quasi Directed Jonsson Operations Imply Bounded Width (For fo-expansions of symmetric binary cores with free amalgamation)
Percolation framework reveals limits of privacy in Conspiracy, Dark Web, and Blockchain networks
Analysis and Detection of Information Types of Open Source Software Issue Discussions
PoseAction: Action Recognition for Patients in the Ward using Deep Learning Approaches
Social Robots for People with Dementia: A Literature Review on Deception from Design to Perception
On the Erdős-Pósa property for long holes in C 4 -free graphs
LoopDraw: a Loop-Based Autoregressive Model for Shape Synthesis and Editing
A novel incentive-based demand response model for Cournot competition in electricity markets
Automatic Mass Detection in Breast Using Deep Convolutional Neural Network and SVM Classifier
Toward a Theory of Generalizability in LLM Mechanistic Interpretability Research
Traces via Strategies in Two-Player Games
Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality
Hypothesis Testing for High-Dimensional Multinomials: A Selective Review
Big Cooperative Learning
MaNGO - Adaptable Graph Network Simulators via Meta-Learning
Assessment of the Sparsity-Diversity Trade-offs in Active Users Detection for mMTC
Data Models for Dataset Drift Controls in Machine Learning With Images
A $(\log n)^{\Omega(1)}$ integrality gap for the Sparsest Cut SDP
Machine Learning for Data-Driven Movement Generation: a Review of the State of the Art
Achieving Near-Capacity at Low SNR on a Multiple-Antenna Multiple-User Channel
Establishing best practices for modeling long duration energy storage in deeply decarbonized energy systems
Formalising Software Requirements using Large Language Models
TequilaGAN: How to easily identify GAN samples
Quantum-Secure Certificate-Less Conditional Privacy-Preserving Authentication for VANET
I/O Burst Prediction for HPC Clusters using Darshan Logs
DEER: Draft with Diffusion, Verify with Autoregressive Models
A purely syntactic proof of decidability for BI
The persistent cup-length invariant
Randomer Forests
Beyond Majority Voting: Towards Fine-grained and More Reliable Reward Signal for Test-Time Reinforcement Learning
Finite Length Performance of Random Slotted ALOHA Strategies
Frame In-N-Out: Unbounded Controllable Image-to-Video Generation
Exploring Edge TPU for Network Intrusion Detection in IoT
Technical Progress Analysis Using a Dynamic Topic Model for Technical Terms to Revise Patent Classification Codes
Effects of human factor on the success of Information technology outsourcing
Developing a Modular Compiler for a Subset of a C-like Language
Eigenvalue Bounds for Saddle-Point Systems with Singular Leading Blocks
A PDE Approach to the Prediction of a Binary Sequence with Advice from Two History-Dependent Experts
A Neural Network Approach for Mixing Language Models
A One-step Image Retargeing Algorithm Based on Conformal Energy
Slow Transition to Low-Dimensional Chaos in Heavy-Tailed Recurrent Neural Networks
Vanka-smoothed shifted Laplacian multigrid preconditioners for the Helmholtz equations
Algebraic Adversarial Attacks on Explainability Models
Twin Regularization for online speech recognition
Does BERT agree? Evaluating knowledge of structure dependence through agreement relations
How to Securely Compute the Modulo-Two Sum of Binary Sources
WebAssembly Diversification for Malware Evasion
SentiPers: A Sentiment Analysis Corpus for Persian
Personalizing Graph Neural Networks with Attention Mechanism for Session-based Recommendation
New Low Rank Optimization Model and Convex Approach for Robust Spectral Compressed Sensing
Randomized Complexity of Parametric Integration and the Role of Adaption II. Sobolev Spaces
Token Transforming: A Unified and Training-Free Token Compression Framework for Vision Transformer Acceleration
Multi-level Monte-Carlo Gradient Methods for Stochastic Optimization with Biased Oracles
Bridging the Gap between Local Semantic Concepts and Bag of Visual Words for Natural Scene Image Retrieval
SATER: A Self-Aware and Token-Efficient Approach to Routing and Cascading
Towards the Study of Morphological Processing of the Tangkhul Language
Barking up the Right Tree: Improving Cross-Corpus Speech Emotion Recognition with Adversarial Discriminative Domain Generalization (ADDoG)
A Hierarchical Matcher using Local Classifier Chains
AttentionPredictor: Temporal Pattern Matters for Efficient LLM Inference
ACLP: Integrating Abduction and Constraint Solving
Learning the Evolution of Physical Structure of Galaxies via Diffusion Models
FlexiFlow: decomposable flow matching for generation of flexible molecular ensemble
An algebra modality admitting countably many deriving transformations
ADSEL: Adaptive dual self-expression learning for EEG feature selection via incomplete multi-dimensional emotional tagging
A Relaxation of the Stochastic Ruler Method for Discrete Simulation Optimization
Density Fixing: Simple yet Effective Regularization Method based on the Class Prior
Backdooring Textual Inversion for Concept Censorship
Eigenpruning
Full Restoration of Visual Encrypted Color Images
Cybersecurity Threat Analysis And Attack Simulations For Unmanned Aerial Vehicle Networks
PRAG: Procedural Action Generator
High order finite difference schemes on non-uniform meshes for the time-fractional Black-Scholes equation
Unifying Attention Heads and Task Vectors via Hidden State Geometry in In-Context Learning
Exploiting Multiple Intelligent Reflecting Surfaces in Multi-Cell Uplink MIMO Communications
Enhancing Chemistry Learning with ChatGPT and Bing Chat as Agents to Think With: A Comparative Case Study
Degrees of displacement: The impact of household PV battery prosumage on utility generation and storage
Near Tight Shortest Paths in the Hybrid Model
Spatial Auditory BCI Paradigm Utilizing N200 and P300 Responses
Adversarial Transfer Learning
Use of multiple singular value decompositions to analyze complex intracellular calcium ion signals