yusuke1997/dblp-id-title huggingface dataset:
Multilinear compressive sensing and an application to convolutional linear networks
FlowBlending: Stage-Aware Multi-Model Sampling for Fast and High-Fidelity Video Generation
On the rate of convergence of Bregman proximal methods in constrained variational inequalities
Identifying source term in the subdiffusion equation with L^2-TV regularization
Learning Multi-Relational Semantics Using Neural-Embedding Models
Thinking the Fusion Strategy of Multi-reference Face Reenactment
Pre-training also Transfers Non-Robustness
A Methodology for Studying VANET Performance with Practical Vehicle Distribution in Urban Environment
Mindscape: Research of high-information density street environments based on electroencephalogram recording and virtual reality head-mounted simulation
Using PHAST to port Caffe library: First experiences and lessons learned
Global Clock, Physical Time Order and Pending Period Analysis in Multiprocessor Systems
Impact of Adversarial Attacks on Deep Learning Model Explainability
A new lower bound for the density of planar Sets avoiding Unit Distances
Differentially Private Equilibrium Finding in Polymatrix Games
An approach utilizing negation of extended-dimensional vector of disposing mass for ordinal evidences combination in a fuzzy environment
PromptNER: Prompting For Named Entity Recognition
Graph Decision Transformer
Learning code summarization from a small and local dataset
Subject clustering by IF-PCA and several recent methods
Teach me with a Whisper: Enhancing Large Language Models for Analyzing Spoken Transcripts using Speech Embeddings
LiveVQA: Live Visual Knowledge Seeking
Neural Volumes: Learning Dynamic Renderable Volumes from Images
Accurate Prediction of Free Solvation Energy of Organic Molecules via Graph Attention Network and Message Passing Neural Network from Pairwise Atomistic Interactions
A Multimodal Sentiment Dataset for Video Recommendation
Whispers in the Machine: Confidentiality in LLM-integrated Systems
Runtime Enforcement of Programmable Logic Controllers
Re-FORC: Adaptive Reward Prediction for Efficient Chain-of-Thought Reasoning
Matrix-Free Two-to-Infinity and One-to-Two Norms Estimation
Imagining Future Digital Assistants at Work: A Study of Task Management Needs
CAMERA: Multi-Matrix Joint Compression for MoE Models via Micro-Expert Redundancy Analysis
A Study on Representation Transfer for Few-Shot Learning
Electricity Theft Detection using Machine Learning
Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment
Multimodal Depression Severity Prediction from medical bio-markers using Machine Learning Tools and Technologies
Minoration via Mixed Volumes and Cover's Problem for General Channels
A Reconstruction Method for Band-Limited Signals on the Hyperbolic Plane
A Systematic Study on Generating Web Vulnerability Proof-of-Concepts Using Large Language Models
Small Data Explainer - The impact of small data methods in everyday life
Kaczmarz-Type Methods for Solving Matrix Equations
Rigor in AI: Doing Rigorous AI Work Requires a Broader, Responsible AI-Informed Conception of Rigor
Multi-step Reinforcement Learning: A Unifying Algorithm
Stress constrained thermo-elastic topology optimization with varying temperature fields via augmented topological sensitivity based level-set
Applying Genetic Algorithm for Prioritization of Test Case Scenarios Derived from UML Diagrams
Behavior Trees vs Executable Ontologies: a Comparative Analysis of Robot Control Paradigms
Self-Organised Criticality and Emergent Hyperbolic Networks - Blueprint for Complexity in Social Dynamics
Domain adaptation of large language models for geotechnical applications
On Extending Direct Preference Optimization to Accommodate Ties
Domain Adaptation As a Problem of Inference on Graphical Models
An Introduction to Gaussian Process Models
Double-Condensing Attention Condenser: Leveraging Attention in Deep Learning to Detect Skin Cancer from Skin Lesion Images
Sovereign AI: Rethinking Autonomy in the Age of Global Interdependence
The Search for Sparse, Robust Neural Networks
Misaligned Roles, Misplaced Images: Structural Input Perturbations Expose Multimodal Alignment Blind Spots
Mutual Theory of Mind for Human-AI Communication
Unsupervised Gait Recognition with Selective Fusion
On Development and Evaluation of Retargeting Human Motion and Appearance in Monocular Videos
Verifiable Privacy-Preserving Computing
EvoVerilog: Large Langugage Model Assisted Evolution of Verilog Code
A Higher Order Isoparametric Fictitious Domain Method for Level Set Domains
Open Source in Lab Management
A Bayesian Detect to Track System for Robust Visual Object Tracking and Semi-Supervised Model Learning
Geometry Matters: Benchmarking Scientific ML Approaches for Flow Prediction around Complex Geometries
Advancing Robustness in Deep Reinforcement Learning with an Ensemble Defense Approach
Simultaneous Localization And Mapping Without Linearization
NMPCB: A Lightweight and Safety-Critical Motion Control Framework
Sparse Multiple Kernel Learning with Geometric Convergence Rate
The Complexity of Defining and Separating Fixpoint Formulae in Modal Logic
Arabic-Nougat: Fine-Tuning Vision Transformers for Arabic OCR and Markdown Extraction
Evaluating and Mitigating Static Bias of Action Representations in the Background and the Foreground
Z3-Noodler: An Automata-based String Solver (Technical Report)
Latent Neural PDE Solver: a reduced-order modelling framework for partial differential equations
28 GHz NLOS Channel Measurements Revealing Low Path Loss and High Angular Spread in Container Ports
A Topologically-informed Hyperstreamline Seeding Method for Alignment Tensor Fields
Forgetting Alternation and Blossoms: A New Framework for Fast Matching Augmentation and Its Applications to Sequential/Distributed/Streaming Computation
A Distributed Approach towards Discriminative Distance Metric Learning
A Multi-channel Training Method Boost the Performance
SAVAE: Leveraging the variational Bayes autoencoder for survival analysis
Dynamical Measure Transport and Neural PDE Solvers for Sampling
Complementing Büchi Automata with Ranker (Technical Report)
From Efficiency to Equity: Measuring Fairness in Preference Learning
The color of smiling: computational synaesthesia of facial expressions
TopXGen: Topic-Diverse Parallel Data Generation for Low-Resource Machine Translation
Service Differentiation and Fair Sharing in Distributed Quantum Computing
Multilevel Asymptotic-Preserving Monte Carlo for Particle Simulations
SCREENER: A general framework for task-specific experiment design in quantitative MRI
Improved Phantom Cell deployment for Capacity Enhancement
Enhancing safety in water transport system based on Internet of Things for developing countries
RSCM Technology for Developing Runtime-Reconfigurable Telecommunication Applications
FAST-LIO2: Fast Direct LiDAR-inertial Odometry
Learning Based Hybrid Beamforming for Millimeter Wave Multi-User MIMO Systems
Hyper-dimensional computing for a visual question-answering system that is trainable end-to-end
Interactive incremental learning of generalizable skills with local trajectory modulation
A Benchmark for Scalable Oversight Protocols
A Systematic Review on the Detection of Fake News Articles
Unsupervised Word Discovery with Segmental Neural Language Models
Is Support Set Diversity Necessary for Meta-Learning?
Constraint satisfaction problems for reducts of homogeneous graphs
Disentangling Fact from Sentiment: A Dynamic Conflict-Consensus Framework for Multimodal Fake News Detection
Future-proofing Education: A Prototype for Simulating Oral Examinations Using Large Language Models
Joint Satellite Gateway Deployment & Controller Placement in Software-Defined 5G-Satellite Integrated Networks
XG-NID: Dual-Modality Network Intrusion Detection using a Heterogeneous Graph Neural Network and Large Language Model
Managing a Fleet of Autonomous Mobile Robots (AMR) using Cloud Robotics Platform
Nagare Media Engine: A System for Cloud- and Edge-Native Network-based Multimedia Workflows
Effect of Static vs. Conversational AI-Generated Messages on Colorectal Cancer Screening Intent: a Randomized Controlled Trial
Development of a Knowledge Graph Embeddings Model for Pain
SGEMM-cube: Emulating FP32 GEMM on Ascend NPUs Using FP16 Cube Units with Precision Recovery
R^2VOS: Robust Referring Video Object Segmentation via Relational Multimodal Cycle Consistency
Approximate Cross-validated Mean Estimates for Bayesian Hierarchical Regression Models
Scalable agent alignment via reward modeling: a research direction
CGOF++: Controllable 3D Face Synthesis with Conditional Generative Occupancy Fields
Relevant Region Prediction for Crowd Counting
Upgrade or Switch: Do We Need a New Registry Architecture for the Internet of AI Agents?
Self-Assembly of Shapes at Constant Scale using Repulsive Forces
Web Resource for Storing Collective Experience
Deep learning-based Subtyping of Atypical and Normal Mitoses using a Hierarchical Anchor-Free Object Detector
Guitar Solos as Networks
Fairness in Preference-based Reinforcement Learning
Improving 2D Human Pose Estimation across Unseen Camera Views with Synthetic Data
Empirical Evidence for the Fragment level Understanding on Drug Molecular Structure of LLMs
Analyzing Website Choice Using Clickstream Data
Spatial-Temporal Dynamic Graph Attention Networks for Ride-hailing Demand Prediction
Stochastic comparisons, differential entropy and varentropy for distributions induced by probability density functions
Hybrid L ∞ ×𝓁 ∞ -Performance Analysis and Control of Linear Time-Varying Impulsive and Switched Positive Systems
Answering the "why" in Answer Set Programming - A Survey of Explanation Approaches
DLITE: The Discounted Least Information Theory of Entropy
im2nerf: Image to Neural Radiance Field in the Wild
A Unifying Framework for Some Directed Distances in Statistics
Spectral clustering of annotated graphs using a factor graph representation
Analysis of Performance of Linear Analog Codes
Hippocampus-Inspired Cognitive Architecture (HICA) for Operant Conditioning
Categorical Data Integration for Computational Science
TiMo: Spatiotemporal Foundation Model for Satellite Image Time Series
Sidebar: Scratchpad Based Communication Between CPUs and Accelerators
Overcoming Bias: Equivariant Filter Design for Biased Attitude Estimation with Online Calibration
Quantum Advantage from Conjugated Clifford Circuits
Evaluating semantic models with word-sentence relatedness
Contiguous Storage of Grid Data for Heterogeneous Computing
Stacked Generative Machine Learning Models for Fast Approximations of Steady-State Navier-Stokes Equations
Cut elimination for Cyclic Proofs: A Case Study in Temporal Logic
Protection Against Reconstruction and Its Applications in Private Federated Learning
The Poisson Channel at Low Input Powers
Autoencoder-based Semantic Novelty Detection: Towards Dependable AI-based Systems
Towards Improving the Explainability of Text-based Information Retrieval with Knowledge Graphs
Invalid Logic, Equivalent Gains: The Bizarreness of Reasoning in Language Model Prompting
Bring Your Own Codegen to Deep Learning Compiler
Real-Time Outlier Connections Detection in Databases Network Traffic
SkelCap: Automated Generation of Descriptive Text from Skeleton Keypoint Sequences
Forward stochastic reachability analysis for uncontrolled linear systems using Fourier Transforms
AI Brown and AI Koditex: LLM-Generated Corpora Comparable to Traditional Corpora of English and Czech Texts
Aegis: A Context-aware Security Framework for Smart Home Systems
Not My Agent, Not My Boundary? Elicitation of Personal Privacy Boundaries in AI-Delegated Information Sharing
Lexical analysis of automated accounts on Twitter
Online Motion Style Transfer for Interactive Character Control
Spatiotemporal Analysis of Parallelized Computing at the Extreme Edge
A Multi-Purpose Scenario-based Simulator for Smart House Environments
Fortran High-Level Synthesis: Reducing the barriers to accelerating HPC codes on FPGAs
Two-flow Feedback Multi-scale Progressive Generative Adversarial Network
Breaking Barriers for Distributed MIS by Faster Degree Reduction
When LLMs Team Up: The Emergence of Collaborative Affective Computing
Towards self-organized control: Using neural cellular automata to robustly control a cart-pole agent
Interactive Image Segmentation From A Feedback Control Perspective
Understanding Segment Anything Model: SAM is Biased Towards Texture Rather than Shape
Open-Ended Evolutionary Robotics: an Information Theoretic Approach
Together we stand, Together we fall, Together we win: Dynamic Team Formation in Massive Open Online Courses
Regaining Trust: Impact of Transparent User Interface Design on Acceptance of Camera-Based In-Car Health Monitoring Systems
REAR: Rethinking Visual Autoregressive Models via Generator-Tokenizer Consistency Regularization
Unnatural Language Processing: Bridging the Gap Between Synthetic and Natural Language Data
Schrödinger PCA: You Only Need Variances for Eigenmodes
An Overview of Cross-media Retrieval: Concepts, Methodologies, Benchmarks and Challenges
Almost Right: Making First-layer Kernels Nearly Orthogonal Improves Model Generalization
Approximating the Average-Case Graph Search Problem with Non-Uniform Costs
Weighted-SVD: Matrix Factorization with Weights on the Latent Factors
A Platform-independent Programming Environment for Robot Control
On Size and Hardness Generalization in Unsupervised Learning for the Travelling Salesman Problem
STaleX: A Spatiotemporal-Aware Adaptive Auto-scaling Framework for Microservices
Pre-trained Forecasting Models: Strong Zero-Shot Feature Extractors for Time Series Classification
Are Large Language Models Fit For Guided Reading?
DocThinker: Explainable Multimodal Large Language Models with Rule-based Reinforcement Learning for Document Understanding
Quasi-Cyclic Asymptotically Regular LDPC Codes
CF-VLM:CounterFactual Vision-Language Fine-tuning
The Hidden Dangers of Outdated Software: A Cyber Security Perspective
MatterChat: A Multi-Modal LLM for Material Science
RSIR Transformer: Hierarchical Vision Transformer using Random Sampling Windows and Important Region Windows
One Prompt Fits All: Universal Graph Adaptation for Pretrained Models
Blinking Beyond EAR: A Stable Eyelid Angle Metric for Driver Drowsiness Detection and Data Augmentation
Know-Show: Benchmarking Video-Language Models on Spatio-Temporal Grounded Reasoning
Increasing NWP Thunderstorm Predictability Using Ensemble Data and Machine Learning
A restricted additive smoother for finite cell flow problems
Optimal Construction of N-bit-delay Almost Instantaneous Fixed-to-Variable-Length Codes
On First-Order Meta-Learning Algorithms
Distribution-Based Masked Medical Vision-Language Model Using Structured Reports
Timed games and deterministic separability
An enhanced VEM formulation for plane elasticity
Generative Adversarial Network to Learn Valid Distributions of Robot Configurations for Inverse Kinematics and Constrained Motion Planning
Profile Update: The Effects of Identity Disclosure on Network Connections and Language
MEDEQUALQA: Evaluating Biases in LLMs with Counterfactual Reasoning
On Robustness and Reliability of Benchmark-Based Evaluation of LLMs
Optimal Sparse Linear Auto-Encoders and Sparse PCA
GraphInstruct: Empowering Large Language Models with Graph Understanding and Reasoning Capability
Towards Modeling and Resolving Singular Parameter Spaces using Stratifolds
VolterraNet: A higher order convolutional network with group equivariance for homogeneous manifolds
SwapTransformer: highway overtaking tactical planner model via imitation learning on OSHA dataset
Natural Language Processing: State of The Art, Current Trends and Challenges
Complexity of Firefighting on Graphs
Mimetic vs Anchored Value Alignment in Artificial Intelligence
Neural Collaborative Filtering to Detect Anomalies in Human Semantic Trajectories
Graph Models for Biological Pathway Visualization: State of the Art and Future Challenges
Optimal Data Placement for Data-Sharing Scientific Workflows in Heterogeneous Edge-Cloud Computing Environments
A Methodology for Process Design Kit Re-Centering Using TCAD and Experimental Data for Cryogenic Temperatures
Early Detection of Parkinson's Disease using Motor Symptoms and Machine Learning
Complexity of Shapes Embedded in Z n with a Bias Towards Squares
Kolmogorov complexity in the USSR (1975-1982): isolation and its end
Foundational GPT Model for MEG
Comparing Human-Centered Language Modeling: Is it Better to Model Groups, Individual Traits, or Both?
Mono-cluster flocking and uniform-in-time stability of the discrete Motsch-Tadmor model
HydraNet: Momentum-Driven State Space Duality for Multi-Granularity Tennis Tournaments Analysis
An SVD-based Fragile Watermarking Scheme With Grouped Blocks
Grid-Forming Vector Current Control FRT Modes Under Symmetrical and Asymmetrical Faults
Binaural Rendering of Ambisonic Signals by Neural Networks
Anisotropic mesh adaptation in Firedrake with PETSc DMPlex
Cycle-lengths of Multi-Dimensional σ Automata
Real-Time Stochastic Processing Networks with Concurrent Resource Requirements
How Do Multimodal Large Language Models Handle Complex Multimodal Reasoning? Placing Them in An Extensible Escape Game
From particle swarm optimization to consensus based optimization: stochastic modeling and mean-field limit
PEGASUS: A Policy Search Method for Large MDPs and POMDPs
VaxGuard: A Multi-Generator, Multi-Type, and Multi-Role Dataset for Detecting LLM-Generated Vaccine Misinformation
LookWhere? Efficient Visual Recognition by Learning Where to Look and What to See from Self-Supervision
Interplay between Federated Learning and Explainable Artificial Intelligence: a Scoping Review
Kinematics-Guided Reinforcement Learning for Object-Aware 3D Ego-Pose Estimation
DeepCS-TRD, a Deep Learning-based Cross-Section Tree Ring Detector
aspcud: A Linux Package Configuration Tool Based on Answer Set Programming
Yelp Review Rating Prediction: Machine Learning and Deep Learning Models
Celeb-FBI: A Benchmark Dataset on Human Full Body Images and Age, Gender, Height and Weight Estimation using Deep Learning Approach
Applying Speech Tempo-Derived Features, BoAW and Fisher Vectors to Detect Elderly Emotion and Speech in Surgical Masks
A Joint Planning Model for Fixed and Mobile Electric Vehicle Charging Stations Considering Flexible Capacity Strategy
Minority report detection in refugee-authored community-driven journalism using RBMs
Intrinsic-Motivation Multi-Robot Social Formation Navigation with Coordinated Exploration
Model Identification Adaptive Control with ρ-POMDP Planning
Non-intrusive double-greedy parametric model reduction by interpolation of frequency-domain rational surrogates
Logic.py: Bridging the Gap between LLMs and Constraint Solvers
Lempel-Ziv Jaccard Distance, an Effective Alternative to Ssdeep and Sdhash
Clustered KL-barycenter design for policy evaluation
Virtual Machine Introspection Based Malware Behavior Profiling and Family Grouping
Simpler, Faster, Stronger: Breaking The log-K Curse On Contrastive Learners With FlatNCE
Subquadratic Submodular Function Minimization
Non-intrusive speech quality assessment using neural networks
A hierarchical semantic segmentation framework for computer vision-based bridge damage detection
Learning Human Behaviors for Robot-Assisted Dressing
Model predictive control of wakes for wind farm power tracking
VINCIE: Unlocking In-context Image Editing from Video
An Atypical Survey of Typical-Case Heuristic Algorithms
Alpha-conversion for lambda terms with explicit weakenings
Satellite Image Semantic Segmentation
EgoAdapt: Adaptive Multisensory Distillation and Policy Learning for Efficient Egocentric Perception
Incremental Method for Spectral Clustering of Increasing Orders
Zero-shot Compound Expression Recognition with Visual Language Model at the 6th ABAW Challenge
Approaching Unanticipated Consequences
EMO-Debias: Benchmarking Gender Debiasing Techniques in Multi-Label Speech Emotion Recognition
KrwEmd: Revising the Imperfect-Recall Abstraction from Forgetting Everything
Learning from Randomly Initialized Neural Network Features
Composing bidirectional programs monadically (with appendices)
Zipf and Heaps Laws in Human spoken English Language
A Comprehensive Survey on Knowledge Distillation of Diffusion Models
Online Low-Carbon Workload, Energy, and Temperature Management of Distributed Data Centers
Continual Vision-and-Language Navigation
Cyber-physical components of an autonomous and scalable SLES
Using Active Speaker Faces for Diarization in TV shows
VolumetricSMPL: A Neural Volumetric Body Model for Efficient Interactions, Contacts, and Collisions
Turkey's Earthquakes: Damage Prediction and Feature Significance Using A Multivariate Analysis
DNS in the Time of Curiosity: A Tale of Collaborative User Privacy Protection
Table Comprehension in Building Codes using Vision Language Models and Domain-Specific Fine-Tuning
Bayesian Beta-Bernoulli Process Sparse Coding with Deep Neural Networks
On the Error Detection Capability of Combined LDPC and CRC Codes for Space Telecommand Transmissions
Deep Conditional Generative Learning: Model and Error Analysis
Deep Learning for Regularization Prediction in Diffeomorphic Image Registration
Provable Data Subset Selection For Efficient Neural Network Training
CiteClick: A Browser Extension for Real-Time Scholar Citation Tracking
An electronic neuromorphic system for real-time detection of High Frequency Oscillations (HFOs) in intracranial EEG
Internal Language Model Estimation based Adaptive Language Model Fusion for Domain Adaptation
The Power of a Single Qubit: Two-way Quantum Finite Automata and the Word Problem
Provable Privacy Guarantee for Individual Identities and Locations in Large-Scale Contact Tracing
Extracting Explanations, Justification, and Uncertainty from Black-Box Deep Neural Networks
Coordination of operational planning and real-time optimization in microgrids
Professional Basketball Player Behavior Synthesis via Planning with Diffusion
A Survey on Resilience in the IoT: Taxonomy, Classification and Discussion of Resilience Mechanisms
Meta-Learned Models of Cognition
Quantification of the Leakage in Federated Learning
Distributed Optimal Steady-State Regulation for High-Order Multi-Agent Systems with External Disturbances
PoNA: Pose-guided Non-local Attention for Human Pose Transfer
Machine Learning-based Approach for Depression Detection in Twitter Using Content and Activity Features
GRN: Generative Rerank Network for Context-wise Recommendation
SP2Bench: A SPARQL Performance Benchmark
An Optimal Ansatz Space for Moving Least Squares Approximation on Spheres
E-VRAG: Enhancing Long Video Understanding with Resource-Efficient Retrieval Augmented Generation
Sub-Clustering for Class Distance Recalculation in Long-Tailed Drug Classification
Evolving HPC services to enable ML workloads on HPE Cray EX
When Human Preferences Flip: An Instance-Dependent Robust Loss for RLHF
Ontology-Enhanced Knowledge Graph Completion using Large Language Models
Direct Data-Driven Predictive Control for a Three-dimensional Cable-Driven Soft Robotic Arm
The Narrow Depth and Breadth of Corporate Responsible AI Research
Derivatives for Containers in Univalent Foundations
Convolutional Neural Network with Median Layers for Denoising Salt-and-Pepper Contaminations
Recent insights on the Uniqueness Problem of Diffeomorphisms determined by Prescribed Jacobian Determinant and Curl
Ta-G-T: Subjectivity Capture in Table to Text Generation via RDF Graphs
Boundary treatment for high-order IMEX Runge-Kutta local discontinuous Galerkin schemes for multidimensional nonlinear parabolic PDEs
Feature Preserving and Uniformity-controllable Point Cloud Simplification on Graph
Distribution-Free Finite-Sample Guarantees and Split Conformal Prediction
Sheaves Reloaded: A Directional Awakening
Analysis of Competence Level and the Attendance of the Lecturer in Its Effects on Students Grade Using Fuzzy Quantification Theory
Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning
Deconfounded Imitation Learning
Inter-cluster Transmission Control Using Graph Modal Barriers
Shared Autonomous Electric Vehicle Service Performance: Assessing the Impact of Charging Infrastructure and Battery Capacity
Supporting Modularity in Simulink Models