yusuke1997/dblp-id-title huggingface dataset:
Employing polyhedral methods to optimize stencils on FPGAs with stencil-specific caches, data reuse, and wide data bursts
From RESTful Services to RDF: Connecting the Web and the Semantic Web
Privacy Attacks Against Biometric Models with Fewer Samples: Incorporating the Output of Multiple Models
Learning with Rules
Countries' Survival in Networked International Environments
Towards a Kernel based Physical Interpretation of Model Uncertainty
Real-time Plant Health Assessment Via Implementing Cloud-based Scalable Transfer Learning On AWS DeepLens
Approaching Ethical Guidelines for Data Scientists
Nightjar: Dynamic Adaptive Speculative Decoding for Large Language Models Serving
Typage fort et typage souple des collections topologiques et des transformations
Numerical surgery for mean curvature flow of surfaces
Scaling Laws for Code: Every Programming Language Matters
Selecting Relevant Features from a Universal Representation for Few-shot Classification
LogPilot: Intent-aware and Scalable Alert Diagnosis for Large-scale Online Service Systems
CAE: Character-Level Autoencoder for Non-Semantic Relational Data Grouping
Quasi-Monte Carlo time-splitting methods for Schrödinger equation with Gaussian random potential
ContraSim - A Similarity Measure Based on Contrastive Learning
Large Vocabulary Spontaneous Speech Recognition for Tigrigna
VC density of set systems defnable in tree-like graphs
Context-Aided Variable Elimination for Requirement Engineering
The consensus problem for opinion dynamics with local average random interactions
How To Control Text Simplification? An Empirical Study of Control Tokens for Meaning Preserving Controlled Simplification
Compositional GAN: Learning Conditional Image Composition
Nonparametric Stochastic Subspaces via the Bootstrap for Characterizing Model Error
Full Duplex Joint Sensing for Opportunistic Access in Spectrum-Heterogeneous Cognitive Radio Networks
Limit groups and groups acting freely on $\bbR^n$-trees
Optimal Algorithms for Differentially Private Stochastic Monotone Variational Inequalities and Saddle-Point Problems
Are you really looking at me? A Framework for Extracting Interpersonal Eye Gaze from Conventional Video
A nonsmooth nonconvex descent algorithm
The Uncertainty-based Retrieval Framework for Ancient Chinese CWS and POS
V2X Communication Between Connected and Automated Vehicles (CAVs) and Unmanned Aerial Vehicles (UAVs)
Vision, Deduction and Alignment: An Empirical Study on Multi-modal Knowledge Graph Alignment
ICARUS: A Lightweight Neural Plenoptic Rendering Architecture
A Survey of Requirements for COVID-19 Mitigation Strategies. Part II: Elicitation of Requirements
Pattern-based Model-to-Model Transformation: Long Version
ACG: Action Coherence Guidance for Flow-based VLA models
Adaptive t Design Dummy-Gate Obfuscation for Cryogenic Scale Enforcement
Online and Batch Supervised Background Estimation via L1 Regression
Neural Assets: Volumetric Object Capture and Rendering for Interactive Environments
ARPA: Armenian Paraphrase Detection Corpus and Models
AI exposure predicts unemployment risk
Joint Discriminative and Metric Embedding Learning for Person Re-Identification
Texture image retrieval using a classification and contourlet-based features
Image Captioning with an Intermediate Attributes Layer
Federated Cubic Regularized Newton Learning with Sparsification-amplified Differential Privacy
Applications of Artificial Intelligence Tools to Enhance Legislative Engagement: Case Studies from Make.Org and MAPLE
From Turn-Taking to Synchronous Dialogue: A Survey of Full-Duplex Spoken Language Models
scDrugMap: Benchmarking Large Foundation Models for Drug Response Prediction
LLM-Oriented Token-Adaptive Knowledge Distillation
Optimizing ML Training with Metagradient Descent
A polygonal scaled boundary finite element method for solving heat conduction problems
Constructing Orthogonal Latin Squares from Linear Cellular Automata
Machine Learning-Enabled Precision Position Control and Thermal Regulation in Advanced Thermal Actuators
Imperceptible Physical Attack against Face Recognition Systems via LED Illumination Modulation
Identifying every building's function in large-scale urban areas with multi-modality remote-sensing data
Track-On2: Enhancing Online Point Tracking with Memory
Unbiased Deterministic Total Ordering of Parallel Simulations with Simultaneous Events
Enhancing path-integral approximation for non-linear diffusion with neural network
Modeling Dynamic Hand-Object Interactions with Applications to Human-Robot Handovers
On the Complexity of the Numerically Definite Syllogistic and Related Fragments
CaliciBoost: Performance-Driven Evaluation of Molecular Representations for Caco-2 Permeability Prediction
Core Conflictual Relationship: Text Mining to Discover What and When
Implicit Mentoring: The Unacknowledged Developer Efforts in Open Source
Lattice sums of I-Bessel functions, theta functions, linear codes and heat equations
Employing Spectral Domain Features for Efficient Collaborative Filtering
Minimum Spanning Tree Cycle Intersection Problem
HORSES3D: a high-order discontinuous Galerkin solver for flow simulations and multi-physics applications
Evaluation and Performance of Reactive Protocols Using Mobility Model
Positivity of the English language
MRI Images Analysis Method for Early Stage Alzheimer's Disease Detection
100Mbps Reconciliation for Quantum Key Distribution Using a Single Graphics Processing Unit
Removable and/or Repeated Units Emerge in Overparametrized Deep Neural Networks
Do LLMs exhibit the same commonsense capabilities across languages?
Artificial Intelligence Hybrid Deep Learning Model for Groundwater Level Prediction Using MLP-ADAM
Flood Prediction and Analysis on the Relevance of Features using Explainable Artificial Intelligence
Machine Learning in Heliophysics and Space Weather Forecasting: A White Paper of Findings and Recommendations
The State and Fate of Summarization Datasets
Towards Better Generalization: BP-SVRG in Training Deep Neural Networks
Multi-target Detection with an Arbitrary Spacing Distribution
Learning to Discretize: Solving 1D Scalar Conservation Laws via Deep Reinforcement Learning
Detecting Low Rating Android Apps Before They Have Reached the Market
Recovery of Training Data from Overparameterized Autoencoders: An Inverse Problem Perspective
Identifying and Compensating for Feature Deviation in Imbalanced Deep Learning
Algorithmic Collusion or Competition: the Role of Platforms' Recommender Systems
RRT-GPMP2: A Motion Planner for Mobile Robots in Complex Maze Environments
Collaborative Decision-Making and the k-Strong Price of Anarchy in Common Interest Games
The Tangent Search Engine: Improved Similarity Metrics and Scalability for Math Formula Search
Zero Dynamics Attack Detection and Isolation in Cyber-Physical Systems with Event-triggered Communication
Scale Contrastive Learning with Selective Attentions for Blind Image Quality Assessment
Streamlining Integrity Tree Updates for Secure Persistent Non-Volatile Memory
Modeling Cell Size Distribution with Heterogeneous Flux Balance Analysis
The Connections Between Group Maturity, Software Development Velocity and Planning Effectiveness
A Dynamic Data Structure for Representing Timed Transitive Closures on Disk
Understanding the Potential of FPGA-Based Spatial Acceleration for Large Language Model Inference
Boosting Tail Neural Network for Realtime Custom Keyword Spotting
Disentangling Motion, Foreground and Background Features in Videos
Hyperbolic Curvature Graph Neural Network
Generalized Degrees of Freedom for Network-Coded Cognitive Interference Channel
IoT Forensic - A digital investigation framework for IoT systems
IMAGINATOR: Pre-Trained Image+Text Joint Embeddings using Word-Level Grounding of Images
Attributed Rhetorical Structure Grammar for Domain Text Summarization
Exploring molecular assembly as a biosignature using mass spectrometry and machine learning
A Transactive Energy Market Framework Considering Network Constraints and Fairness
Towards Personalized Conversational Sales Agents : Contextual User Profiling for Strategic Action
Sparse Random Approximation and Lossy Compression
The Incentives that Shape Behaviour
Evaluating the Efficacy of Large Language Models in Detecting Fake News: A Comparative Analysis
Rethinking Scientific Summarization Evaluation: Grounding Explainable Metrics on Facet-aware Benchmark
Cross Layer Provision of Future Cellular Networks
SRLA: A real time sliding time window super point cardinality estimation algorithm for high speed network based on GPU
A Framework for Preserving Privacy and Cybersecurity in Brain-Computer Interfacing Applications
A locally calculable P 3 -pressure using a P 4 -velocity for incompressible Stokes equations
On consistency types for lattice-based distributed programming languages
Estimating Nodal Spreading Influence Using Partial Temporal Network
A frame semantics based approach to comparative study of digitized corpus
Lightweight U-Net for High-Resolution Breast Imaging
An Investigation Report on Auction Mechanism Design
PrivacyGAN: robust generative image privacy
PF 2 ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization Under Unknown Constraints
Time Series Forecasting: Obtaining Long Term Trends with Self-Organizing Maps
Verifiable Split Learning via zk-SNARKs
Evaluating Large Language Models Using Contrast Sets: An Experimental Approach
QL-LSTM: A Parameter-Efficient LSTM for Stable Long-Sequence Modeling
On Lagrangian Relaxation and Reoptimization Problems
Learning To Rank Diversely
On the Walsh spectra of quadratic APN functions
Applications of Modular Co-Design for De Novo 3D Molecule Generation
Sectors, Beams and Environmental Impact on Commercial 5G mmWave Cell Coverage: an Empirical Study
AutoAMG(θ): An Auto-tuned AMG Method Based on Deep Learning for Strong Threshold
Distinguishing Fictional Voices: a Study of Authorship Verification Models for Quotation Attribution
Deep learning automates Cobb angle measurement compared with multi-expert observers
Light of Normals: Unified Feature Representation for Universal Photometric Stereo
Cooperative Stochastic Multi-agent Multi-armed Bandits Robust to Adversarial Corruptions
Neuromorphic Optical Tracking and Imaging of Randomly Moving Targets through Strongly Scattering Media
A Condition for Multiplicity Structure of Univariate Polynomials
Decoding Latent Spaces: Assessing the Interpretability of Time Series Foundation Models for Visual Analytics
GOOD: General Optimization-based Fusion for 3D Object Detection via LiDAR-Camera Object Candidates
Correctness is Demanding, Performance is Frustrating
An Empirical Characterization of Fair Machine Learning For Clinical Risk Prediction
A Soft Robotic Gripper with Active Palm for In-Hand Object Reorientation
Active Learning and Multi-label Classification for Ellipsis and Coreference Detection in Conversational Question-Answering
Recursive Analytic Solution of Nonlinear Optimal Regulators
Canonical Form of Lyapunov Second Method in Mathematical Modelling and Control Design
REVECA - Rich Encoder-decoder framework for Video Event CAptioner
Generative Molecular Design with Steerable and Granular Synthesizability Control
A Hierarchical fuzzy controller for a biped robot
SHREC 2011: robust feature detection and description benchmark
Sparsity-Constraint Optimization via Splicing Iteration
A neural network approach for solving the Monge-Ampère equation with transport boundary condition
Implementation and Analysis of Thermometer Encoding in DWN FPGA Accelerators
Towards Understanding Transformers in Learning Random Walks
Self-Supervision in Time for Satellite Images(S3-TSS): A novel method of SSL technique in Satellite images
Anchored Discrete Factor Analysis
Efficient and Transferable Adversarial Examples from Bayesian Neural Networks
New bounds and constructions for constant weighted X-codes
Fair AutoML
Quantifying the Effects of Enforcing Disentanglement on Variational Autoencoders
Design of a low-cost and lightweight 6 DoF bimanual arm for dynamic and contact-rich manipulation
NavAgent: Multi-scale Urban Street View Fusion For UAV Embodied Vision-and-Language Navigation
Incorporating Transformer Designs into Convolutions for Lightweight Image Super-Resolution
Perfect simulation of Markovian load balancing queueing networks in equilibrium
Massive MIMO precoding and spectral shaping with low resolution DACs and active constellation extension
Planning for target retrieval using a robotic manipulator in cluttered and occluded environments
Hiding Communications in AWGN Channels and THz Band with Interference Uncertainty
EvoSort: A Genetic-Algorithm-Based Adaptive Parallel Sorting Framework for Large-Scale High Performance Computing
Achieving interpretable machine learning by functional decomposition of black-box models into explainable predictor effects
KDSTM: Neural Semi-supervised Topic Modeling with Knowledge Distillation
Finding Order-Preserving Subgraphs
Perfect Reconstruction Two-Channel Filter Banks on Arbitrary Graphs
A game theoretic approach to a peer-to-peer cloud storage model
A nonlinear model of vortex-induced forces on an oscillating cylinder in a fluid flow
Benchmarking the Benchmark - Analysis of Synthetic NIDS Datasets
Decision-Making in Reinforcement Learning
Palmprint Recognition Using Deep Scattering Convolutional Network
Multi-Layer Transmission and Hybrid Relaying for Relay Channels with Multiple Out-of-Band Relays
Oriented discrepancy of Hamilton cycles and paths in digraphs
Throughput Analysis of UAV-assisted CellularNetworks by Matérn Hardcore Point Process
Synthetic Embedding of Hidden Information in Industrial Control System Network Protocols for Evaluation of Steganographic Malware
Re-Simulation-based Self-Supervised Learning for Pre-Training Foundation Models
Wavenet based low rate speech coding
Transfer learning for conflict and duplicate detection in software requirement pairs
Rendezvous Regions: A Scalable Architecture for Resource Discovery and Service Location in Large-Scale Mobile Networks
A Multistage Stochastic Programming Approach to the Dynamic and Stochastic VRPTW - Extended version
Evaluating Time Series Foundation Models on Noisy Periodic Time Series
Jailbreaking Large Language Models with Symbolic Mathematics
Fault Diagnosis in Power Grids with Large Language Model
Beyond the Sum: Unlocking AI Agents Potential Through Market Forces
Streamlining in the Riemannian Realm: Efficient Riemannian Optimization with Loopless Variance Reduction
Synthesizing Accurate and Realistic T1-weighted Contrast-Enhanced MR Images using Posterior-Mean Rectified Flow
Non-Destructive Sample Generation From Conditional Belief Functions
FogGIS: Fog Computing for Geospatial Big Data Analytics
Single Image Deraining via Feature-based Deep Convolutional Neural Network
Contribution Evaluation in Federated Learning: Examining Current Approaches
On the Incentive to Deviate in Core Selecting Combinatorial Auctions
Deep Reinforcement Learning Based Placement for Integrated Access Backhauling in UAV-Assisted Wireless Networks
Rendering Graphs for Graph Reasoning in Multimodal Large Language Models
NSF Convergence Approach to Transition Basic Research into Practice
A General Methodology for Designing Self-Organizing Systems
Calibrating Graph Neural Networks with Wavelet-Aware Temperature Scaling
Return on Investment Driven Observability
An approximation for return time distributions of random walks on sparse networks
DeepWay: a Deep Learning Estimator for Unmanned Ground Vehicle Global Path Planning
Ranking with Ties based on Noisy Performance Data
Distributed Stabilization by Probability Control for Deterministic-Stochastic Large Scale Systems : Dissipativity Approach
Nano-artifact metrics based on random collapse of resist
Mechanizing Coinduction and Corecursion in Higher-order Logic
Analyticity and hp discontinuous Galerkin approximation of nonlinear Schrödinger eigenproblems
A systematic review of relation extraction task since the emergence of Transformers
A Systematic Evaluation of Federated Learning on Biomedical Natural Language Processing
The Formation of Trust in Autonomous Vehicles after Interacting with Robotaxis on Public Roads
Centrality of nodes in Federated Byzantine Agreement Systems
Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Physical Dynamics Learning
Improved Convergence Speed of Fully Symmetric Learning Rules for Principal Component Analysis
Improving Diffusion-based Image Translation using Asymmetric Gradient Guidance
A Minimal Six-Point Auto-Calibration Algorithm
Multi-Timescale, Gradient Descent, Temporal Difference Learning with Linear Options
PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling
Generating Bijections between HOAS and the Natural Numbers
About Evaluation of F1 Score for RECENT Relation Extraction System
Reduced basis method for non-symmetric eigenvalue problems: application to the multigroup neutron diffusion equations
Keep your Eyes on the Lane: Attention-guided Lane Detection
STAN: Spatio-Temporal Adversarial Networks for Abnormal Event Detection
Learning from Atypical Behavior: Temporary Interest Aware Recommendation Based on Reinforcement Learning
MPIPN: A Multi Physics-Informed PointNet for solving parametric acoustic-structure systems
MoD: A Distribution-Based Approach for Merging Large Language Models
A new rule for almost-certain termination of probabilistic and demonic programs
Context Representation via Action-Free Transformer encoder-decoder for Meta Reinforcement Learning
Experiments in Extractive Summarization: Integer Linear Programming, Term/Sentence Scoring, and Title-driven Models
A Method for the Runtime Validation of AI-based Environment Perception in Automated Driving System
Semantic Description of Web Services
Multi-hop Moving Relays for IMT-Advanced and Beyond
SDiT: Spiking Diffusion Model with Transformer
AI as a deliberative partner fosters intercultural empathy for Americans but fails for Latin American participants
DQC1-hardness of estimating correlation functions
From Confidence to Collapse in LLM Factual Robustness
TensorTouch: Calibration of Tactile Sensors for High Resolution Stress Tensor and Deformation for Dexterous Manipulation
Measuring Pointwise $\mathcal{V}$-Usable Information In-Context-ly
Stable deep reinforcement learning method by predicting uncertainty in rewards as a subtask
ABL: An original active blacklist based on a modification of the SMTP
Lossless Layout Image Compression Algorithms for Electron-Beam Direct-Write Lithography
Quantum-Safe Identity Verification using Relativistic Zero-Knowledge Proof Systems
Uniform winning strategies for the synchronization games on subclasses of finite automata
One-shot quantum state redistribution and quantum Markov chains
Q-HyViT: Post-Training Quantization for Hybrid Vision Transformer with Bridge Block Reconstruction
Multi Purpose Routing: New Perspectives and Approximation Algorithms
Dafny as Verification-Aware Intermediate Language for Code Generation
Modelling Human Active Search in Optimizing Black-box Functions
Extensionality of lambda-
Safety Alignment Should Be Made More Than Just A Few Attention Heads
Multi-Task Representation Learning with Multi-View Graph Convolutional Networks
Layerwise Sparsifying Training and Sequential Learning Strategy for Neural Architecture Adaptation
Differentiable Modelling of Percussive Audio with Transient and Spectral Synthesis
Task Specific Pretraining with Noisy Labels for Remote sensing Image Segmentation
Machine Learning for Real-World Evidence Analysis of COVID-19 Pharmacotherapy
A structure-preserving parametric finite element method for area-conserved generalized mean curvature flow
Conditioning Probabilistic Databases
Low-Rank Matrix Estimation From Rank-One Projections by Unlifted Convex Optimization
Bayesian Parameter Estimation for Latent Markov Random Fields and Social Networks
Unc-TTP: A Method for Classifying LLM Uncertainty to Improve In-Context Example Selection
Model-Based Reinforcement Learning under Random Observation Delays
Monotonicity-preserving finite element schemes based on differentiable nonlinear stabilization
Distributed Sparse Linear Regression with Sublinear Communication
This Face Does Not Exist ... But It Might Be Yours! Identity Leakage in Generative Models
A Waste Copper Granules Rating System Based on Machine Vision
Chatbot Companionship: A Mixed-Methods Study of Companion Chatbot Usage Patterns and Their Relationship to Loneliness in Active Users
Locally Nameless Permutation Types
Two Parallel PageRank Algorithms via Improving Forward Push
Rate-constrained Energy Services: Allocation Policies and Market Decisions
Securing Heterogeneous Network (HetNet) Communications for Wildfire Management: Mitigating the Effects of Adversarial and Environmental Threats
Efficient Implementation of Rewriting Revisited Technical Report
Slightly Shift New Classes to Remember Old Classes for Video Class-Incremental Learning
Causal Learning and Explanation of Deep Neural Networks via Autoencoded Activations
Design for the Right to the Smart City in More-than-Human Worlds
Example and Feature importance-based Explanations for Black-box Machine Learning Models
GridSweep Simulation: Measuring Subsynchronous Impedance Spectra of Distribution Feeder
Anonymous Authentication using Attribute-based Encryption
Partitioning Algorithms for Improving Efficiency of Topic Modeling Parallelization
Statistical Simulation Models for Cascaded Rayleigh Fading Channels
Policies for elementary link generation in quantum networks
Interactive Decomposition Multi-Objective Optimization via Progressively Learned Value Functions
MetaMolGen: A Neural Graph Motif Generation Model for De Novo Molecular Design
TianHui: A Domain-Specific Large Language Model for Diverse Traditional Chinese Medicine Scenarios
A Randomly Expandable Method for Data Layout of RAID Storage Systems
Hawkeye:Efficient Reasoning with Model Collaboration
On Natural Genetic Engineering: Structural Dynamism in Random Boolean Networks
RobuSTereo: Robust Zero-Shot Stereo Matching under Adverse Weather
Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework
OLC-WA: Drift Aware Tuning-Free Online Classification with Weighted Average
A Comparison on Audio Signal Preprocessing Methods for Deep Neural Networks on Music Tagging
Proceedings 13th International Workshop on Developments in Computational Models, DCM 2023, Rome, Italy, 2 July 2023
Fast adaptive high-order integral equation methods for electromagnetic scattering from smooth perfect electric conductors
InteractComp: Evaluating Search Agents With Ambiguous Queries
CryptoCredit: Securely Training Fair Models
MD-ProjTex: Texturing 3D Shapes with Multi-Diffusion Projection
Less Is More: Robust Robot Learning via Partially Observable Multi-Agent Reinforcement Learning
A Framework For Intelligent Multi Agent System Based Neural Network Classification Model
Investigation of Deep Learning-Based Filtered Density Function for Large Eddy Simulation of Turbulent Scalar Mixing
A Security Framework for General Blockchain Layer 2 Protocols
A Priori Error Bounds for Parabolic Interface Problems with Measure Data
Temporal Pointwise Convolutional Networks for Length of Stay Prediction in the Intensive Care Unit
Using Explainable Artificial Intelligence to Increase Trust in Computer Vision
Personalized Gaussian Processes for Future Prediction of Alzheimer's Disease Progression
DAG-width of Control Flow Graphs with Applications to Model Checking
MobCLIP: Learning General-purpose Geospatial Representation at Scale
Large-Scale Multi-Robot Assembly Planning for Autonomous Manufacturing
Bidding Through the Lens of Attribution: Pick the Right Labels!
An Upper Bound on the Capacity of non-Binary Deletion Channels
Towards Safe Reasoning in Large Reasoning Models via Corrective Intervention
Depression Detection and Analysis using Large Language Models on Textual and Audio-Visual Modalities
Distributed Hypothesis Testing based on Unequal-Error Protection Codes
Multi-SIM support in 5G Evolution: Challenges and Opportunities
Self-Supervised Human Depth Estimation from Monocular Videos
A Spatio-Temporal Representation for the Orienteering Problem with Time-Varying Profits
MEGAN: Multi-Explanation Graph Attention Network