yusuke1997/dblp-id-title huggingface dataset:
COMPACT: Concurrent or Ordered Matrix-based Packing Arrangement Computation Technique
Text segmentation on multilabel documents: A distant-supervised approach
On Distributed Runtime Verification by Aggregate Computing
What Makes a Visualization Complex?
Did I Vet You Before? Assessing the Chrome Web Store Vetting Process through Browser Extension Similarity
Candidate sentence selection for language learning exercises: from a comprehensive framework to an empirical evaluation
Combinatorial Bandits for Maximum Value Reward Function under Max Value-Index Feedback
Achieving near-Capacity on Large Discrete Memoryless Channels
LinguaMark: Do Multimodal Models Speak Fairly? A Benchmark-Based Evaluation
EXPSPACE-hardness of behavioural equivalences of succinct one-counter nets
Attention-Aware Compositional Network for Person Re-identification
Short-time homomorphic wavelet estimation
An empirical study of Conv-TasNet
Iterative decoding of Generalized Parallel Concatenated Block codes using cyclic permutations
Boosting RL-Based Visual Reasoning with Selective Adversarial Entropy Intervention
LiteLab: Efficient Large-scale Network Experiments
Kite: How to Delegate Voting Power Privately
U-MARVEL: Unveiling Key Factors for Universal Multimodal Retrieval via Embedding Learning with MLLMs
Simultaneous Localization and Mapping (SLAM) using RTAB-MAP
How the Avengers assemble: Ecological modelling of effective cast sizes for movies
Vid2Curve: Simultaneous Camera Motion Estimation and Thin Structure Reconstruction from an RGB Video
An Intelligent Data Analysis for Hotel Recommendation Systems using Machine Learning
Studio2Shop: from studio photo shoots to fashion articles
Simulation of conventional cold-formed steel sections formed from Advanced High Strength Steel (AHSS)
Image Restoration using Group Sparse Representation via Weighted Nuclear Norm Minimization
Frequency Domain-based Perceptual Loss for Super Resolution
Question-Conditioned Counterfactual Image Generation for VQA
Uniform generation of spanning regular subgraphs of a dense graph
Analysis Of Momentum Methods
A framework for anomaly detection using language modeling, and its applications to finance
Interactive multiview video system with non-complex navigation at the decoder
Encoding Integrated Decision and Control for Autonomous Driving with Mixed Traffic Flow
Using constraint programming to resolve the multi-source/multi-site data movement paradigm on the Grid
Why are images smooth?
DiffDecompose: Layer-Wise Decomposition of Alpha-Composited Images via Diffusion Transformers
Scalable Resource Provisioning for Multi-user Communications in Next Generation Networks
MDMMT-2: Multidomain Multimodal Transformer for Video Retrieval, One More Step Towards Generalization
Stress Assessment with Convolutional Neural Network Using PPG Signals
Sparse Distributed Learning via Heterogeneous Diffusion Adaptive Networks
AIR: A Systematic Analysis of Annotations, Instructions, and Response Pairs in Preference Dataset
Dependent Types in Haskell: Theory and Practice
Multi-velocity neural networks for gesture recognition in videos
FireSentry: A Multi-Modal Spatio-temporal Benchmark Dataset for Fine-Grained Wildfire Spread Forecasting
MetNet: A Neural Weather Model for Precipitation Forecasting
C-SHAP for time series: An approach to high-level temporal explanations
Identify Light-Curve Signals with Deep Learning Based Object Detection Algorithm. I. Transit Detection
Information Theoretically Aided Reinforcement Learning for Embodied Agents
Automatic punctuation restoration with BERT models
A Comparative Study on Generative Models for High Resolution Solar Observation Imaging
Trustless Autonomy: Understanding Motivations, Benefits and Governance Dilemma in Self-Sovereign Decentralized AI Agents
Towards Accurate Camouflaged Object Detection with Mixture Convolution and Interactive Fusion
Activity Recognition Based on Micro-Doppler Signature with In-Home Wi-Fi
Using Domain Knowledge in Evolutionary System Identification
Technical Report: Toward Applying Quantum Computing to Network Verification
Network community detection via iterative edge removal in a flocking-like system
Maximizing Mutual Information Across Feature and Topology Views for Learning Graph Representations
Distributionally Robust Optimization: A Review
Pay Attention to the Triggers: Constructing Backdoors That Survive Distillation
LM Agents for Coordinating Multi-User Information Gathering
Key to Kindness: Reducing Toxicity In Online Discourse Through Proactive Content Moderation in a Mobile Keyboard
AraSpell: A Deep Learning Approach for Arabic Spelling Correction
Robustified Time-optimal Point-to-point Motion Planning and Control under Uncertainty
Chain-of-Zoom: Extreme Super-Resolution via Scale Autoregression and Preference Alignment
On the weight hierarchy of codes coming from semigroups with two generators
MoULDyS: Monitoring of Autonomous Systems in the Presence of Uncertainties
Nowhere to Hide: Detecting Obfuscated Fingerprinting Scripts
Users and Contemporary SERPs: A (Re-)Investigation Examining User Interactions and Experiences
Cascading behavior of an extended Watts model on networks
"To sense" or "not to sense" in energy-efficient power control games
Proceedings 16th International Workshop on Programming Language Approaches to Concurrency and Communication-cEntric Software, PLACES@ETAPS 2025, Hamilton, Canada, 4th May 2025
Infinity-RoPE: Action-Controllable Infinite Video Generation Emerges From Autoregressive Self-Rollout
PARSI: Persian Authorship Recognition via Stylometric Integration
3D Semantic Segmentation-Driven Representations for 3D Object Detection
q-RBFNN: A Quantum Calculus-based RBF Neural Network
A Convolutional Neural Network Approach for 2D/3D Medical Image Registration
LMN: A Tool for Generating Machine Enforceable Policies from Natural Language Access Control Rules using LLMs
VoroLight: Learning Quality Volumetric Voronoi Meshes from General Inputs
Largest planar graphs of diameter 3 and fixed maximum degree - connection with fractional matchings
Disjoint edges in geometric graphs
Influence Maximization with Fairness at Scale (Extended Version)
ITPP: Learning Disentangled Event Dynamics in Marked Temporal Point Processes
Efficiently and Effectively: A Two-stage Approach to Balance Plaintext and Encrypted Text for Traffic Classification
IntegratedPIFu: Integrated Pixel Aligned Implicit Function for Single-view Human Reconstruction
Optimal Power Control and Scheduling under Hard Deadline Constraints for Continuous Fading Channels
4D CNN for semantic segmentation of cardiac volumetric sequences
Synthetic Training for Monocular Human Mesh Recovery
Cops, Robber and Medianwidth Parameters
Large-scale Spatiotemporal Characterization of Inconsistencies in the World's Largest Firewall
Accurate and Reliable Predictions with Mutual-Transport Ensemble
On-Board Vision Processing For Small UAVs: Time to Rethink Strategy
Popping the bubble may not be enough: news media role in online political polarization
On counterfactual inference with unobserved confounding
Phy-Diff: Physics-guided Hourglass Diffusion Model for Diffusion MRI Synthesis
Beyond Prompt Engineering: Neuro-Symbolic-Causal Architecture for Robust Multi-Objective AI Agents
Improving the adaptive and continuous learning capabilities of artificial neural networks: Lessons from multi-neuromodulatory dynamics
Agile Governance Theory: conceptual development
Conversational Negation using Worldly Context in Compositional Distributional Semantics
Superquadric Object Representation for Optimization-based Semantic SLAM
Stochastic Geometry-based Analysis of LEO Satellite Communication Systems
Information Fusion for Assistance Systems in Production Assessment
Magnetic Tactile-Driven Soft Actuator for Intelligent Grasping and Firmness Evaluation
LogoDet-3K: A Large-Scale Image Dataset for Logo Detection
Energy-Guided Flow Matching Enables Few-Step Conformer Generation and Ground-State Identification
Pareto optimal proxy metrics
Diffuse to Detect: A Generalizable Framework for Anomaly Detection with Diffusion Models Applications to UAVs and Beyond
Coordinated Multi-Agent Reinforcement Learning for Unmanned Aerial Vehicle Swarms in Autonomous Mobile Access Applications
RSPP: A Reliable, Searchable and Privacy-Preserving e-Healthcare System for Cloud-Assisted Body Area Networks
A gallery of diagonal stability conditions with structured matrices (and review papers)
Tell-the-difference: Fine-grained Visual Descriptor via a Discriminating Referee
A Unified Definition and Computation of Laplacian Spectral Distances
Intersection of Reinforcement Learning and Bayesian Optimization for Intelligent Control of Industrial Processes: A Safe MPC-based DPG using Multi-Objective BO
Online compressed sensing
Detect, anticipate and generate: Semi-supervised recurrent latent variable models for human activity modeling
torchmil: A PyTorch-based library for deep Multiple Instance Learning
"Moralized" Multi-Step Jailbreak Prompts: Black-Box Testing of Guardrails in Large Language Models for Verbal Attacks
Learning Variational Neighbor Labels for Test-Time Domain Generalization
Test Amplification for REST APIs Using "Out-of-the-box" Large Language Models
Revisiting the Sleeping Beauty problem
Music-driven Dance Regeneration with Controllable Key Pose Constraints
The flow of ideas in word embeddings
Automated Image Processing for the Analysis of DNA Repair Dynamics
SpeContext: Enabling Efficient Long-context Reasoning with Speculative Context Sparsity in LLMs
Open-world Point Cloud Semantic Segmentation: A Human-in-the-loop Framework
Iterated Radical Expansions and Convergence
Semantic Scan: Detecting Subtle, Spatially Localized Events in Text Streams
The alldifferent Constraint: A Survey
Hybrid Algorithm Selection and Hyperparameter Tuning on Distributed Machine Learning Resources: A Hierarchical Agent-based Approach
Patch as Node: Human-Centric Graph Representation Learning for Multimodal Action Recognition
DeepFund: Will LLM be Professional at Fund Investment? A Live Arena Perspective
CAMEL: Curvature-Augmented Manifold Embedding and Learning
NPGLM: A Non-Parametric Method for Temporal Link Prediction
Sybil Detection using Graph Neural Networks
SVBench: Evaluation of Video Generation Models on Social Reasoning
SRAS: Self-governed Remote Attestation Scheme for Multi-party Collaboration
Solving scalability issues in calculating PV hosting capacity in low voltage distribution networks
Understanding Syntactic Generalization in Structure-inducing Language Models
Retrieve-Rewrite-Answer: A KG-to-Text Enhanced LLMs Framework for Knowledge Graph Question Answering
Deep Variational Inverse Scattering
Revolutionizing Healthcare Image Analysis in Pandemic-Based Fog-Cloud Computing Architectures
TLP: A Deep Learning-based Cost Model for Tensor Program Tuning
Can machine learning identify interesting mathematics? An exploration using empirically observed laws
A Particle-in-cell Method for Plasmas with a Generalized Momentum Formulation
Domain Consistency Regularization for Unsupervised Multi-source Domain Adaptive Classification
On the Fundamental Limits of Coded Data Shuffling for Distributed Learning Systems
TransEdge: Translating Relation-contextualized Embeddings for Knowledge Graphs
Exploring Self-attention for Image Recognition
Increasing the Discovery Power and Confidence Levels of Disease Association Studies: A Survey
Predictive Limitations of Physics-Informed Neural Networks in Vortex Shedding
Detect and Defense Against Adversarial Examples in Deep Learning using Natural Scene Statistics and Adaptive Denoising
Energy-Efficient and Fast Memristor-based Serial Multipliers Applicable in Image Processing
Continual Alignment for SAM: Rethinking Foundation Models for Medical Image Segmentation in Continual Learning
Cache Optimization for Memory Intensive Workloads on Multi-socket Multi-core servers
Planning a Community Approach to Diabetes Care in Low- and Middle-Income Countries Using Optimization
Hierarchical LoRA MoE for Efficient CTR Model Scaling
An EMA-balancing, pressure-robust and Re-semi-robust reconstruction method for unsteady incompressible Navier-Stokes equations
An approximation to zeros of the Riemann zeta function using fractional calculus
Online Influence Maximization (Extended Version)
An Efficient End-to-End Transformer with Progressive Tri-modal Attention for Multi-modal Emotion Recognition
Preventing Radio Fingerprinting through Friendly Jamming
Band Allocation for Cognitive Radios with Buffered Primary and Secondary Users
A Sentence is Worth a Thousand Pictures: Can Large Language Models Understand Human Language?
Graph Neural Networks for Learning Robot Team Coordination
Mixture of Inverse Gaussians for Hemodynamic Transport (MIGHT) in Vascular Networks
Transforming unstructured voice and text data into insight for paramedic emergency service using recurrent and convolutional neural networks
Integrating Biological and Machine Intelligence: Attention Mechanisms in Brain-Computer Interfaces
Quantitative in vivo imaging to enable tumor forecasting and treatment optimization
Exploring the Role of Explicit Temporal Modeling in Multimodal Large Language Models for Video Understanding
The inherent randomness of news virality on social media
Data Driven Transfer Functions and Transmission Network Parameters for GIC Modelling
Lossy Compression for Robust Unsupervised Time-Series Anomaly Detection
Hysteresis and disorder-induced order in continuous kinetic-like opinion dynamics in complex networks
Reduction of Redundant Rules in Association Rule Mining-Based Bug Assignment
OTSurv: A Novel Multiple Instance Learning Framework for Survival Prediction with Heterogeneity-aware Optimal Transport
Integrated Design and Implementation of Embedded Control Systems with Scilab
Learning Better Encoding for Approximate Nearest Neighbor Search with Dictionary Annealing
The ORCA Hub: Explainable Offshore Robotics through Intelligent Interfaces
S^2Former-OR: Single-Stage Bimodal Transformer for Scene Graph Generation in OR
Type and Complexity Signals in Multilingual Question Representations
"How Did They Come Across?" Lessons Learned from Continuous Affective Ratings
PixelRL: Fully Convolutional Network with Reinforcement Learning for Image Processing
Retrieval of sun-induced plant fluorescence in the O 2 -A absorption band from DESIS imagery
VR3Dense: Voxel Representation Learning for 3D Object Detection and Monocular Dense Depth Reconstruction
Mobilizing Waldo: Evaluating Multimodal AI for Public Mobilization
NTN-based 6G Localization: Vision, Role of LEOs, and Open Problems
Source-side Prediction for Neural Headline Generation
Pedagogy-driven Evaluation of Generative AI-powered Intelligent Tutoring Systems
On the Secrecy Rate of Spatial Modulation Based Indoor Visible Light Communications
Slicing Input Features to Accelerate Deep Learning: A Case Study with Graph Neural Networks
CLASP: Adaptive Spectral Clustering for Unsupervised Per-Image Segmentation
Multiple-beam Interference Spectroscopy: Instrument Analysis and Spectrum Reconstruction
Improved Parallel Cache-Oblivious Algorithms for Dynamic Programming and Linear Algebra
Error analysis for deep neural network approximations of parametric hyperbolic conservation laws
Trading with the Devil: Risk and Return in Foundation Model Strategies
A Modular Deep Learning Approach for Extreme Multi-label Text Classification
Investigating the Effect of Deictic Movements of a Multi-robot
A Quadratic Assignment Formulation of the Graph Edit Distance
Understanding Aesthetics in Photography using Deep Convolutional Neural Networks
End-to-End Cross-Domain Text-to-SQL Semantic Parsing with Auxiliary Task
Robust super-resolution depth imaging via a multi-feature fusion deep network
Continual Learning, Not Training: Online Adaptation For Agents
Tail asymptotics of signal-to-interference ratio distribution in spatial cellular network models
Arabic Fake News Detection Based on Deep Contextualized Embedding Models
A matter of words: NLP for quality evaluation of Wikipedia medical articles
Live Visualization of GUI Application Code Coverage with GUITracer
Neighbor-aware Instance Refining with Noisy Labels for Cross-Modal Retrieval
Predictive Scaling Laws for Efficient GRPO Training of Large Reasoning Models
Exploring the Cognitive Dynamics of Artificial Intelligence in the Post-COVID-19 and Learning 3.0 Era: A Case Study of ChatGPT
A Synergistic Compilation Workflow for Tackling Crosstalk in Quantum Machines
Unleashing the Hidden Power of Compiler Optimization on Binary Code Difference: An Empirical Study
Semi-automatic tuning of coupled climate models with multiple intrinsic timescales: lessons learned from the Lorenz96 model
Towards retrieving dispersion profiles using quantum-mimic Optical Coherence Tomography and Machine Learnin
Combinatorial Convolutional Neural Networks for Words
Hierarchical Softmax for End-to-End Low-resource Multilingual Speech Recognition
Quality Metrics for Transparent Machine Learning With and Without Humans In the Loop Are Not Correlated
TokenBreak: Bypassing Text Classification Models Through Token Manipulation
Building a Safer Maritime Environment Through Multi-Path Long-Term Vessel Trajectory Forecasting
Neural networks embrace learned diversity
DM-MPPI: Datamodel for Efficient and Safe Model Path Integral Control
Simulation Based: Study and Analysis of Routing Protocol in Vehicular Ad-hoc Network Environment
Safe planning and control under uncertainty for self-driving
LLM-Centric RAG with Multi-Granular Indexing and Confidence Constraints
Automatic Emotion Recognition (AER) System based on Two-Level Ensemble of Lightweight Deep CNN Models
Joint Semi-supervised 3D Super-Resolution and Segmentation with Mixed Adversarial Gaussian Domain Adaptation
On Query-to-Communication Lifting for Adversary Bounds
Examining Language Modeling Assumptions Using an Annotated Literary Dialect Corpus
Breaking the Trilemma of Privacy, Utility, Efficiency via Controllable Machine Unlearning
Wisdom of the Crowd or Wisdom of a Few? An Analysis of Users' Content Generation
OCALM: Object-Centric Assessment with Language Models
Inner-Imaging Convolutional Networks
Learning structures of the French clinical language: development and validation of word embedding models using 21 million clinical reports from electronic health records
Improving Accented Speech Recognition using Data Augmentation based on Unsupervised Text-to-Speech Synthesis
Mind the Gap: Federated Learning Broadens Domain Generalization in Diagnostic AI Models
Barnacle: An Assembly Algorithm for Clone-based Sequences of Whole Genomes
Automated Composition of Security Protocols
An efficient Chorin-Temam projection proper orthogonal decomposition based reduced-order model for nonstationary Stokes equations
UniBriVL: Robust Universal Representation and Generation of Audio Driven Diffusion Models
Dynamic Bandwidth Management in Distributed VoD based on the User Class Using Agents
Where is this? Video geolocation based on neural network features
Enforcing Cooperative Safety for Reinforcement Learning-based Mixed-Autonomy Platoon Control
P-Cloth: Interactive Complex Cloth Simulation on Multi-GPU Systems using Dynamic Matrix Assembly and Pipelined Implicit Integrators
Theoretical characterisation of the Gauss-Newton conditioning in Neural Networks
EaqVLA: Encoding-aligned Quantization for Vision-Language-Action Models
Many Perception Tasks are Highly Redundant Functions of their Input Data
Automatic Identification of Motivation for Code-Switching in Speech Transcripts
The Permuted Striped Block Model and its Factorization - Algorithms with Recovery Guarantees
Constructing a High Temporal Resolution Global Lakes Dataset via Swin-Unet with Applications to Area Prediction
DAGAM: A Domain Adversarial Graph Attention Model for Subject Independent EEG-Based Emotion Recognition
Contrastive inverse regression for dimension reduction
Layer Reduction: Accelerating Conformer-Based Self-Supervised Model via Layer Consistency
Local generation of languages
Who Gets Recommended? Investigating Gender, Race, and Country Disparities in Paper Recommendations from Large Language Models
GMI-DRL: Empowering Multi-GPU Deep Reinforcement Learning with GPU Spatial Multiplexing
Constructing MDP Abstractions Using Data with Formal Guarantees
The Usability of Pragmatic Communication in Regular Expression Synthesis
LLM-driven Constrained Copy Generation through Iterative Refinement
ChineseVideoBench: Benchmarking Multi-modal Large Models for Chinese Video Question Answering
Pair Approximation Meets Reality: Diffusion of Innovation in Organizational Networks within the biased-independence q-Voter Model
A scalable multilevel domain decomposition preconditioner with a subspace-based coarsening algorithm for the neutron transport calculations
End-to-End Audio Strikes Back: Boosting Augmentations Towards An Efficient Audio Classification Network
Explainable Deep Image Classifiers for Skin Lesion Diagnosis
An analogue of the ElGamal scheme based on the Markovski algorithm
Topological Data Analysis with ε-net Induced Lazy Witness Complex
Eco-Driving of Connected and Autonomous Vehicles with Sequence-to-Sequence Prediction of Target Vehicle Velocity
UNADON: Transformer-based model to predict genome-wide chromosome spatial position
KNN-SSD: Enabling Dynamic Self-Speculative Decoding via Nearest Neighbor Layer Set Optimization
Reduced-Order Modeling through Machine Learning Approaches for Brittle Fracture Applications
Computational Curiosity (A Book Draft)
MTL2L: A Context Aware Neural Optimiser
ChatUIE: Exploring Chat-based Unified Information Extraction using Large Language Models
Automatic Business Process Structure Discovery using Ordered Neurons LSTM: A Preliminary Study
Processing heterogeneous data space measurement subpolar territories to formulate stochastic models assessment geohazards
Where Are Large Language Models for Code Generation on GitHub?
Convex and Nonconvex Optimization Are Both Minimax-Optimal for Noisy Blind Deconvolution
Conditional Tables in practice
A Tool for Benchmarking Large Language Models' Robustness in Assessing the Realism of Driving Scenarios
Why bother with geometry? On the relevance of linear decompositions of Transformer embeddings
ASTOR: Evolutionary Automatic Software Repair for Java
Cartographer_glass: 2D Graph SLAM Framework using LiDAR for Glass Environments
Phase-Aware Single-Channel Speech Enhancement with Modulation-Domain Kalman Filtering
FIIH: Fully Invertible Image Hiding for Secure and Robust
OpenAI's Approach to External Red Teaming for AI Models and Systems
An efficient strongly connected components algorithm in the fault tolerant model
Distributed Coded Modulation Schemes for Multiple Access Relay Channels
Locally Optimal Solutions to Constraint Displacement Problems via Path-Obstacle Overlaps
SySMOL: A Hardware-software Co-design Framework for Ultra-Low and Fine-Grained Mixed-Precision Neural Networks
The in-context inductive biases of vision-language models differ across modalities
Architecting Peer-to-Peer Serverless Distributed Machine Learning Training for Improved Fault Tolerance
Projected Push-Pull For Distributed Constrained Optimization Over Time-Varying Directed Graphs (extended version)
Subsequences With Generalised Gap Constraints: Upper and Lower Complexity Bounds
Towards Cross-modal Backward-compatible Representation Learning for Vision-Language Models
Deep Multi-Scale U-Net Architecture and Noise-Robust Training Strategies for Histopathological Image Segmentation
Automatic composition and optimisation of multicomponent predictive systems
Degradation Self-Supervised Learning for Lithium-ion Battery Health Diagnostics
Sample-Efficient, Exploration-Based Policy Optimisation for Routing Problems
Monotonic Filtering for Distributed Collection
PSB2: The Second Program Synthesis Benchmark Suite
BERT Embeddings Can Track Context in Conversational Search
ALTO: A Large-Scale Dataset for UAV Visual Place Recognition and Localization
A Supervised Speech enhancement Approach with Residual Noise Control for Voice Communication
UAV-based Visual Remote Sensing for Automated Building Inspection
Recovering remote Photoplethysmograph Signal from Facial videos Using Spatio-Temporal Convolutional Networks
On Order Types of Random Point Sets