yusuke1997/dblp-id-title huggingface dataset:
FMRT: Learning Accurate Feature Matching with Reconciliatory Transformer
CAMS: Color-Aware Multi-Style Transfer
Automated Data-Driven Discovery of Material Models Based on Symbolic Regression: A Case Study on Human Brain Cortex
The DRAT format and DRAT-trim checker
WITCHcraft: Efficient PGD attacks with random step size
On TimeML-Compliant Temporal Expression Extraction in Turkish
Learning to Increase the Power of Conditional Randomization Tests
An introduction to Graph Data Management
Minimum feature size preserving decompositions
Determining parameters in generalized thermomechanics for metamaterials by means of asymptotic homogenization
Proxima. A DAG based cooperative distributed ledger
A broken Hardy inequality on finite element space and application to strain gradient elasticity
An efficient dynamic ID based remote user authentication scheme using self-certified public keys for multi-server environment
DocParser: End-to-end OCR-free Information Extraction from Visually Rich Documents
Data Poisoning-based Backdoor Attack Framework against Supervised Learning Rules of Spiking Neural Networks
Cost of space-time formulations: a study on the performance of direct and iterative solvers on space-time formulations versus time-marching schemes
Learning an Adaptive Fall Recovery Controller for Quadrupeds on Complex Terrains
Galactic Gradients, Postbiological Evolution and the Apparent Failure of SETI
Loop Tiling in Large-Scale Stencil Codes at Run-time with OPS
Group-based ranking method for online rating systems with spamming attacks
OpenMENA: An Open-Source Memristor Interfacing and Compute Board for Neuromorphic Edge-AI Applications
Inverse Reinforcement Learning with Gaussian Process
D4C glove-train: solving the RPM and Bongard-logo problem by distributing and Circumscribing concepts
Learning in Time-Varying Monotone Network Games with Dynamic Populations
DiscoTEX: Discontinuous collocation and implicit-turned-explicit (IMTEX) integration symplectic, symmetric numerical algorithms with higher order jumps for differential equations with numerical black hole perturbation theory applications
A Unified AI, Embedded, Simulation, and Mechanical Design Approach to an Autonomous Delivery Robot
BRUMS at SemEval-2020 Task 3: Contextualised Embeddings forPredicting the (Graded) Effect of Context in Word Similarity
A Versatile Framework for Multi-scene Person Re-identification
A single-photon sampling architecture for solid-state imaging
Visualizing Class Information
MD-BERT: Action Recognition in Dark Videos via Dynamic Multi-Stream Fusion and Temporal Modeling
Influence of Mobility Restrictions on Transmission of COVID-19 in the state of Maryland - the USA
Machine Learning-based Framework for Optimally Solving the Analytical Inverse Kinematics for Redundant Manipulators
Generalized Reed-Muller codes: A new construction of information sets
Committee Monotonic Proportional Representation: A New Voting Rule and Impossibility Results
DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors
Channel-aware Contrastive Conditional Diffusion for Multivariate Probabilistic Time Series Forecasting
Unfolding the Structure of a Document using Deep Learning
A hybrid decision approach for the association problem in heterogeneous networks
Comparison of Dynamic and Kinematic Model Driven Extended Kalman Filters (EKF) for the Localization of Autonomous Underwater Vehicles
Deep Composition of Tensor Trains using Squared Inverse Rosenblatt Transports
Towards a Dataset of Programming Contest Plagiarism in Java
An Adversarial Non-Autoregressive Model for Text Generation with Incomplete Information
Exploring The Design of Prompts For Applying GPT-3 based Chatbots: A Mental Wellbeing Case Study on Mechanical Turk
Contextual object categorization with energy-based model
Regression Trees on Grassmann Manifold for Adapting Reduced-Order Models
Towards Loosely-Coupling Knowledge Graph Embeddings and Ontology-based Reasoning
Joint-stochastic-approximation Autoencoders with Application to Semi-supervised Learning
G-Monitor: Gridbus web portal for monitoring and steering application execution on global grids
Are Large Language Models Sensitive to the Motives Behind Communication?
Biological Optimisation for Nurse Scheduling
National Origin Discrimination in Deep-learning-powered Automated Resume Screening
Bibliometric-enhanced Information Retrieval: 2nd International BIR Workshop
Path and Motion Optimization for Efficient Multi-Location Inspection with Humanoid Robots
A Fine-Grained Vehicle Detection (FGVD) Dataset for Unconstrained Roads
Early-exit Convolutional Neural Networks
Characterization of behavioral patterns exploiting description of geographical areas
Process, Systems and Tests: Three Layers in Concurrent Computation
The Computational Complexity of Understanding Network Decisions
Thinking Outside the (Gray) Box: A Context-Based Score for Assessing Value and Originality in Neural Text Generation
Enhancing Cross-task Transferability of Adversarial Examples with Dispersion Reduction
Tracking Human Pose During Robot-Assisted Dressing using Single-Axis Capacitive Proximity Sensing
Test them all, is it worth it? A ground truth comparison of configuration sampling strategies
The algebra of functions with antidomain and range
A pipeline for multiple orange detection and tracking with 3-D fruit relocalization and neural-net based yield regression in commercial citrus orchards
Revisiting Implicit Models: Sparsity Trade-offs Capability in Weight-tied Model for Vision Tasks
CoTune: Co-evolutionary Configuration Tuning
DIFFUMA: High-Fidelity Spatio-Temporal Video Prediction via Dual-Path Mamba and Diffusion Enhancement
Exploiting co-execution with oneAPI: heterogeneity from a modern perspective
Exponential convergence of testing error for stochastic gradient methods
HLF-FSL. A Decentralized Federated Split Learning Solution for IoT on Hyperledger Fabric
Automated Penetration Testing: Formalization and Realization
RRO: A Regularized Routing Optimization Algorithm for Enhanced Throughput and Low Latency with Efficient Complexity
Strata-Sword: A Hierarchical Safety Evaluation towards LLMs based on Reasoning Complexity of Jailbreak Instructions
Using Access Data for Paper Recommendations on ArXiv.org
Two-headed eye-segmentation approach for biometric identification
Deployment-friendly Lane-changing Intention Prediction Powered by Brain-inspired Spiking Neural Networks
ns-3 and 5G-LENA extensions to support MIMO
HDIdx: High-Dimensional Indexing for Efficient Approximate Nearest Neighbor Search
Guided Skill Learning and Abstraction for Long-Horizon Manipulation
Coordinated Transaction Scheduling in Multi-Area Electricity Markets: Equilibrium and Learning
Likelihood-Free Estimation for Spatiotemporal Hawkes processes with missing data and application to predictive policing
Novel clustered federated learning based on local loss
I Want 'Em All (At Once) - Ultrametric Cluster Hierarchies
PolyMorph: Increasing P300 Spelling Efficiency by Selection Matrix Polymorphism and Sentence-Based Predictions
Improving Grid Computing Performance by Optimally Reducing Checkpointing Effect
SEM-CTRL: Semantically Controlled Decoding
Statistical Inference of the Value Function for Reinforcement Learning in Infinite Horizon Settings
Multi-Lane Perception Using Feature Fusion Based on GraphSLAM
Negative Entity Suppression for Zero-Shot Captioning with Synthetic Images
Determining 4-edge-connected components in linear time
Networked Multiple Description Estimation and Compression with Resource Scalability
Learning quantum many-body data locally: A provably scalable framework
Underwater Image Enhancement by Diffusion Model with Customized CLIP-Classifier
SeSQL: Yet Another Large-scale Session-level Chinese Text-to-SQL Dataset
Dependent Inductive and Coinductive Types are Fibrational Dialgebras
WebRobot: Web Robotic Process Automation using Interactive Programming-by-Demonstration
Pluralistic Off-policy Evaluation and Alignment
DAPLSR: Data Augmentation Partial Least Squares Regression Model via Manifold Optimization
Sliding Block Hashing (Slick) - Basic Algorithmic Ideas
Evolutionary estimation of a Coupled Markov Chain credit risk model
Transformers in Action: Weakly Supervised Action Segmentation
$K_{4}$-Minor-Free Induced Subgraphs of Sparse Connected Graphs
Assessing the Software Security Comprehension of Large Language Models
Clinical Contrastive Learning for Biomarker Detection
The DLV System for Knowledge Representation and Reasoning
GEOBench-VLM: Benchmarking Vision-Language Models for Geospatial Tasks
Iterative Views Agreement: An Iterative Low-Rank based Structured Optimization Method to Multi-View Spectral Clustering
NELA-GT-2021: A Large Multi-Labelled News Dataset for The Study of Misinformation in News Articles
A concrete example of inclusive design: deaf-oriented accessibility
The lexicographically least square-free word with a given prefix
Towards an Approach for Analysing the Strategic Alignment of Software Requirements using Quantified Goal Graphs
Towards topology optimization of pressure-driven soft robots
The Multiscale Bowler-Hat Transform for Blood Vessel Enhancement in Retinal Images
Two-Stage Adaptive Robust Optimization Model for Joint Unit Maintenance and Unit Commitment Considering Source-Load Uncertainty
An Uncertainty-aware DETR Enhancement Framework for Object Detection
Why Neural Machine Translation Prefers Empty Outputs
Reading-strategy Inspired Visual Representation Learning for Text-to-Video Retrieval
Experience Recommendation for Long Term Safe Learning-based Model Predictive Control in Changing Operating Conditions
Perceptual Quality Assessment for Embodied AI
Iterative Decoding and Phase-Noise Compensation for Multichannel Optical Transmission
Breaking the Adversarial Robustness-Performance Trade-off in Text Classification via Manifold Purification
Active Learning in Video Tracking
Motion-compensated cardiac MRI using low-rank diffeomorphic flow (DMoCo)
Hybrid Pass Transistor Logic with Dual-Gate Ambipolar CNTFETs
Fine-Grained Emotional Paraphrasing along Emotion Gradients
Meta-Learning with Variational Bayes
Noise or Nuance: An Investigation Into Useful Information and Filtering For LLM Driven AKBC
Zero Bubble Pipeline Parallelism
Towards large-scale deliberative decision-making: small groups and the importance of triads
Inverse Rendering of Fusion Plasmas: Inferring Plasma Composition from Imaging Systems
K-Means Clustering on Noisy Intermediate Scale Quantum Computers
Adaptive Liquidity Provision in Uniswap V3 with Deep Reinforcement Learning
Similarity quantification for linear stochastic systems as a set-theoretic control problem
Theory and Applications of Two-dimensional, Null-boundary, Nine-Neighborhood, Cellular Automata Linear rules
Tracking the Digital Traces of Russian Trolls: Distinguishing the Roles and Strategy of Trolls On Twitter
Co-evolutionary behaviour selection in adaptive social networks predicts clustered marginalization of minorities
Label Noise: Correcting a Correction
Implementation of Tetris as a Model Counter
Quantitative Stability Conditions for Grid-Forming Converters With Complex Droop Control
Full-Body Torque-Level Non-linear Model Predictive Control for Aerial Manipulation
Perceptual Quality Assessment of UGC Gaming Videos
Siamese based Neural Network for Offline Writer Identification on word level data
TraffickCam: Explainable Image Matching For Sex Trafficking Investigations
On the MISO Channel with Feedback: Can Infinitely Massive Antennas Achieve Infinite Capacity?
How to GAN away Detector Effects
Transferable Interactiveness Prior for Human-Object Interaction Detection
Make It Efficient: Dynamic Sparse Attention for Autoregressive Image Generation
Joint Adaptive Representations for Image-Language Learning
Alzheimer Disease Detection from Raman Spectroscopy of the Cerebrospinal Fluid via Topological Machine Learning
DeepProteomics: Protein family classification using Shallow and Deep Networks
SYM-ILDL: Incomplete $LDL^{T}$ Factorization of Symmetric Indefinite and Skew-Symmetric Matrices
Rethinking IoT Security: A Protocol Based on Blockchain Smart Contracts for Secure and Automated IoT Deployments
Evaluating the Ability of Large Language Models to Reason about Cardinal Directions
High Performance Computer Acoustic Data Accelerator: A New System for Exploring Marine Mammal Acoustics for Big Data Applications
SpamDam: Towards Privacy-Preserving and Adversary-Resistant SMS Spam Detection
Entropy stable flux correction for scalar hyperbolic conservation laws
Contextual Refinement Types
Building a Shared Resource HPC Center Across University Schools and Institutes: A Case Study
An algorithm for two-dimensional mesh generation based on the pinwheel tiling
FUSE: Multi-Faceted Set Expansion by Coherent Clustering of Skip-grams
Directional movement of a collective of compassless automata on square lattice of width 2
Artificial Intelligence based Autonomous Molecular Design for Medical Therapeutic: A Perspective
Topological Approach for Data Assimilation
Software Agents with Concerns of their Own
Linear Depthwise Convolution for Single Image Super-Resolution
Self-SuperFlow: Self-supervised Scene Flow Prediction in Stereo Sequences
Making History Matter: Gold-Critic Sequence Training for Visual Dialog
Mixed Prototype Consistency Learning for Semi-supervised Medical Image Segmentation
Hyperbolic families and coloring graphs on surfaces
The intersection of machine learning with forecasting and optimisation: theory and applications
Leveraging Software Architectures to Guide and Verify the Development of Sense/Compute/Control Applications
Autocamera Calibration for traffic surveillance cameras with wide angle lenses
Large Scale Transfer Learning for Differentially Private Image Classification
Modeling and performance evaluation of computer systems security operation
Synthesizing realistic sand assemblies with denoising diffusion in latent space
DUAW: Data-free Universal Adversarial Watermark against Stable Diffusion Customization
EU regulations on algorithmic decision-making and a "right to explanation"
EGE-UNet: an Efficient Group Enhanced UNet for skin lesion segmentation
Deterministic matrix sketches for low-rank compression of high-dimensional simulation data
Detect, Investigate, Judge and Determine: A Novel LLM-based Framework for Few-shot Fake News Detection
Predicting the large-scale evolution of tag systems
A New Outer-Bound via Interference Localization and the Degrees of Freedom Regions of MIMO Interference Networks with no CSIT
A Hyperbolic Approximation of the Nonlinear Schrödinger Equation
Combining Parameter Identification and Trajectory Optimization: Real-time Planning for Information Gain
One-Bit Distributed Mean Estimation with Unknown Variance
Histogram-Based Flash Channel Estimation
The Multiple Equal-Difference Structure of Cyclotomic Cosets
Few-Shot Bearing Anomaly Detection Based on Model-Agnostic Meta-Learning
Regression on fixed-rank positive semidefinite matrices: a Riemannian approach
Stable Diffusion Models are Secretly Good at Visual In-Context Learning
Toward Robust Neural Networks via Sparsification
CAMeL: Cross-modality Adaptive Meta-Learning for Text-based Person Retrieval
Intra-Trajectory Consistency for Reward Modeling
A Graph Summarization: A Survey
Diagnosing and fixing common problems in Bayesian optimization for molecule design
CLIP-Powered Domain Generalization and Domain Adaptation: A Comprehensive Survey
The Hidden Costs of Requiring Accounts: Quasi-Experimental Evidence From Peer Production
A Workflow for Differentially-Private Graph Synthesis
A Markov Decision Process Framework for Early Maneuver Decisions in Satellite Collision Avoidance
POW: Political Overton Windows of Large Language Models
Preconditioning Kaczmarz method by sketching
Safe learning LQR of linear dynamics with multiplicative noise
Maximizing Store Revenues using Tabu Search for Floor Space Optimization
ISC: an RADI-type method for stochastic continuous-time algebraic Riccati equations
PyMarian: Fast Neural Machine Translation and Evaluation in Python
Inference-Time Scaling for Generalist Reward Modeling
Which Phylogenetic Networks are Level-k Networks with Additional Arcs? Structure and Algorithms
Bias Analysis in Unconditional Image Generative Models
Performance-bounded Online Ensemble Learning Method Based on Multi-armed bandits and Its Applications in Real-time Safety Assessment
A PyTorch-Compatible Spike Encoding Framework for Energy-Efficient Neuromorphic Applications
An Adaptive Dual-Domain Prediction Strategy based on Second-order Derivatives for Dynamic Multi-Objective Optimization
Segmentation Approach for Coreference Resolution Task
Exact Scalar Minimum Storage Coordinated Regenerating Codes
Quantum field theories, Markov random fields and machine learning
Reducing MIMO Detection Complexity via Hierarchical Modulation
Universal laws and absolute lower bounds of feedback systems: entropy rate never decreases, generalized Bode integral, Gaussianity-whiteness measure, Gaussianing-whitening control, and beyond
Two parallel dynamic lexicographic algorithms for factorization sets in numerical semigroups
Spikyball sampling: Exploring large networks via an inhomogeneous filtered diffusion
The Cubli: Modeling Utilizing Quaternions
A Fine-Grained Hierarchy of Hard Problems in the Separated Fragment
Redesigning pattern mining algorithms for supercomputers
Robust Heartbeat Detection from Multimodal Data via CNN-based Generalizable Information Fusion
The Design Space of Generative Models
The World of AI: A Novel Approach to AI Literacy for First-year Engineering Students
The Role of Computer Graphics in Documentary Film Production
Signal Estimation with Arbitrary Error Metrics in Compressed Sensing
Large Language Model-Driven Classroom Flipping: Empowering Student-Centric Peer Questioning with Flipped Interaction
Best-of-N through the Smoothing Lens: KL Divergence and Regret Analysis
R-PointHop: A Green, Accurate and Unsupervised Point Cloud Registration Method
Learning C to x86 Translation: An Experiment in Neural Compilation
A centroid based framework for text classification in itsm environments
VIZGR: Combining Data on a Visual Level
Explicit tensors of border rank at least 2n-1
AutoFSM: A Multi-agent Framework for FSM Code Generation with IR and SystemC-Based Testing
SUMMARIZED: Efficient Framework for Analyzing Multidimensional Process Traces under Edit-distance Constraint
Stochastic Constraint Optimization using Propagation on Ordered Binary Decision Diagrams
Finite element discretization of a biological network formation system: a preliminary study
Goal-oriented Semantic Communication for Robot Arm Reconstruction in Digital Twin: Feature and Temporal Selections
Lightweight Learning for Grant-Free Activity Detection in Cell-Free Massive MIMO Networks
Hybrid Computing for Interactive Datacenter Applications
Mechanisms for QoE optimisation of Video Traffic: A review paper
Usable XAI: 10 Strategies Towards Exploiting Explainability in the LLM Era
Smooth and Sparse Latent Dynamics in Operator Learning with Jerk Regularization
Student similarity network clustering - Does the time it takes for an answer to be selected follow a power-law?
Low-Level and NUMA-Aware Optimization for High-Performance Quantum Simulation
Electrical networks and data analysis in phylogenetics
Chosen-plaintext attack of an image encryption scheme based on modified permutation-diffusion structure
Towards Reasonable Concept Bottleneck Models
Graph Neural Networks with Haar Transform-Based Convolution and Pooling: A Complete Guide
Context Capture in Software Development
Interactive Annotation of 3D Object Geometry using 2D Scribbles
Answer Generation for Questions With Multiple Information Sources in E-Commerce
A Risk-Driven Probabilistic Approach to Quantify Resilience in Power Distribution Systems
Slip-Based Autonomous ZUPT through Gaussian Process to Improve Planetary Rover Localization
Optimal design of photonic nanojets under uncertainty
Unsupervised Learning of Temporal Abstractions with Slot-based Transformers
The Recommendation System to SNS Community for Tourists by Using Altruistic Behaviors
Uncovering Strategic Egoism Behaviors in Large Language Models
Improving Network Monitoring and Security via Visualization
Doubly Robust Inference in Causal Latent Factor Models
Priming Deep Neural Networks with Synthetic Faces for Enhanced Performance
Bourbaki: Self-Generated and Goal-Conditioned MDPs for Theorem Proving
Reconsidering Analytical Variational Bounds for Output Layers of Deep Networks
LiM-Loc: Visual Localization with Dense and Accurate 3D Reference Maps Directly Corresponding 2D Keypoints to 3D LiDAR Point Clouds
TAVRNN: Temporal Attention-enhanced Variational Graph RNN Captures Neural Dynamics and Behavior
Unauthorized UAV Countermeasure for Low-Altitude Economy: Joint Communications and Jamming based on MIMO Cellular Systems
Language-Instructed Reasoning for Group Activity Detection via Multimodal Large Language Model
Estimation of Average Annual Daily Bicycle Count Using Bike-Share GPS Data and Bike Counter Data for an Urban Active Transportation Network
Model Predictive Black Start for Dynamic Formation of DER-Led Microgrids with Inrush Current Impacts
Elagage d'un perceptron multicouches : utilisation de l'analyse de la variance de la sensibilité des paramètres
High order positivity-preserving numerical methods for a non-local photochemical model
Zone-based Keyword Spotting in Bangla and Devanagari Documents
Reading the Source Code of Social Ties
E2-Train: Energy-Efficient Deep Network Training with Data-, Model-, and Algorithm-Level Saving
Follow-Your-Shape: Shape-Aware Image Editing via Trajectory-Guided Region Control
ST-Think: How Multimodal Large Language Models Reason About 4D Worlds from Ego-Centric Videos
All About Knowledge Graphs for Actions
A Delicately Restricted Channel and Decoding of Maximum Rank Distance Codes
Silicon on Nothing Mems Electromechanical Resonator
Attention-based Group Recommendation
MambaVC: Learned Visual Compression with Selective State Spaces
Rough Sets for Explainability of Spectral Graph Clustering
POD-based reduced order modeling of global-in-time iterative decoupled algorithms for Biot's consolidation model
Estimation of Human Body Shape and Posture Under Clothing
Randomized Coordinate Subgradient Method for Nonsmooth Optimization
System Identification Using the Signed Cumulative Distribution Transform In Structural Health Monitoring Applications
FinP: Fairness-in-Privacy in Federated Learning by Addressing Disparities in Privacy Risk
A Method Based on Convex Cone Model for Image-Set Classification with CNN Features
An approach to robust ICP initialization
DeepFIR: Addressing the Wireless Channel Action in Physical-Layer Deep Learning
Extending Rely-Guarantee thinking to handle Real-Time Scheduling
Network community structure and resilience to localized damage: application to brain microcirculation
Visualizing WSPDs and their applications
Resume Information Extraction via Post-OCR Text Processing
3D printed architected lattice structures by material jetting
Weak Stability of ࡁ 1 -minimization Methods in Sparse Data Reconstruction
LENet: Lightweight And Efficient LiDAR Semantic Segmentation Using Multi-Scale Convolution Attention
IMEX-RB: a self-adaptive IMEX time integration scheme exploiting the RB method
CL-ISR: A Contrastive Learning and Implicit Stance Reasoning Framework for Misleading Text Detection on Social Media
Appropriate Nouns with Obligatory Modifiers
Addressing Distribution Shift at Test Time in Pre-trained Language Models
Exploring the Imposition of Synaptic Precision Restrictions For Evolutionary Synthesis of Deep Neural Networks
Deep Dynamics: Vehicle Dynamics Modeling with a Physics-Informed Neural Network for Autonomous Racing
Stablecoins: Fundamentals, Emerging Issues, and Open Challenges
Extended Load Flexibility of Utility-Scale P2H Plants: Optimal Production Scheduling Considering Dynamic Thermal and HTO Impurity Effects
BioMistral-NLU: Towards More Generalizable Medical Language Understanding through Instruction Tuning
Generic Reed-Solomon codes achieve list-decoding capacity
Performance of an Operating High Energy Physics Data Grid: DØSAR-Grid
Proving time bounds for randomized distributed algorithms