yusuke1997/dblp-id-title huggingface dataset:
InsViE-1M: Effective Instruction-based Video Editing with Elaborate Dataset Construction
Denotational semantics for languages for inference: semirings, monads, and tensors
ReqBrain: Task-Specific Instruction Tuning of LLMs for AI-Assisted Requirements Generation
Generalized Lie Symmetries in Physics-Informed Neural Operators
DC-Art-GAN: Stable Procedural Content Generation using DC-GANs for Digital Art
A Unified Framework for Diffusion Model Unlearning with f-Divergence
Field geology with a wearable computer: 1st results of the Cyborg Astrobiologist System
BhashaBench V1: A Comprehensive Benchmark for the Quadrant of Indic Domains
On Horizontal Decomposition of the Operating System
Finite Blocklength Performance of Capacity-achieving Codes in the Light of Complexity Theory
Generating Emotionally Aligned Responses in Dialogues using Affect Control Theory
An Iterative Scheme for Leverage-based Approximate Aggregation
Query the model: precomputations for efficient inference with Bayesian Networks
A 8 bits Pipeline Analog to Digital Converter Design for High Speed Camera Application
Solving Linear Equations with Separable Problem Data over Directed Networks
In-Hand Object Stabilization by Independent Finger Control
Data driven localized wave solution of the Fokas-Lenells equation using modified PINN
Applying multi product lines to equity market software ecosystem
On Robustness in Multilayer Interdependent Network
Ethical AI on the Waitlist: Group Fairness Evaluation of LLM-Aided Organ Allocation
Model-Free Reinforcement Learning for Automated Fluid Administration in Critical Care
Seismic Damage Assessment of Instrumented Wood-frame Buildings: A Case-study of NEESWood Full-scale Shake Table Tests
Scalable Continual Top-k Keyword Search in Relational Databases
Convolutional module for heart localization and segmentation in MRI
Support-Free Hollowing for 3D Printing via Voronoi Diagram of Ellipses
Beyond Technological Usability: Exploratory Factor Analysis of the Comprehensive Assessment of Usability for Learning Technologies (CAUSLT) Scale
Handover analysis of the Improved Phantom Cells
Rankers over Infinite Words
A structure-preserving semi-implicit four-split scheme for continuum mechanics
Deeper Inside Deep ViT
Improving Approximate Optimal Transport Distances using Quantization
RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval
Identity Preserving Latent Diffusion for Brain Aging Modeling
Hybrid Modelling Approaches for Forecasting Energy Spot Prices in EPEC market
Eigenvalue backward errors of Rosenbrock systems and optimization of sums of Rayleigh quotient
Regular resynchronizability of origin transducers is undecidable
On the Hardness of Almost All Subset Sum Problems by Ordinary Branch-and-Bound
Signalling for Electricity Demand Response: When is Truth Telling Optimal?
ImageTalk: Designing a Multimodal AAC Text Generation System Driven by Image Recognition and Natural Language Generation
Reflectance Hashing for Material Recognition
AP-VLM: Active Perception Enabled by Vision-Language Models
Optimal subgroup selection
Invariance-adapted decomposition and Lasso-type contrastive learning
Effect of ISI Mitigation on Modulation Techniques in Communication via Diffusion
Development of a Mouse for Individuals Without Upper Limbs Using Arduino Technology
Identifying Key Terms in Prompts for Relevance Evaluation with GPT Models
PAODING: A High-fidelity Data-free Pruning Toolkit for Debloating Pre-trained Neural Networks
Simple, Efficient and Scalable Structure-aware Adapter Boosts Protein Language Models
Efficient Deterministic Preparation of Quantum States Using Decision Diagrams
UGround: Towards Unified Visual Grounding with Unrolled Transformers
Unfitted Nitsche's method for computing wave modes in topological materials
Machine Learning Software Engineering in Practice: An Industrial Case Study
Finding multiple core-periphery pairs in networks
Selective Inference for Latent Block Models
Efficient geometric Markov chain Monte Carlo for nonlinear Bayesian inversion enabled by derivative-informed neural operators
Bifrost: a Python/C++ Framework for High-Throughput Stream Processing in Astronomy
Enhanced Covers of Regular & Indeterminate Strings using Prefix Tables
An Implicit Optimization Approach for Survivable Network Design
Spectral hypergraph sparsification via chaining
Unveiling Unicode's Unseen Underpinnings in Undermining Authorship Attribution
Hyperspectral fluorescence microscopy based on Compressive Sampling
Statistical-Computational Trade-offs for Recursive Adaptive Partitioning Estimators
One Stack to Rule them All: To Drive Automated Vehicles, and Reach for the 4th level
Learning the Spectrogram Temporal Resolution for Audio Classification
Disentangling Doubt in Deep Causal AI
SAFE: Advancing Large Language Models in Leveraging Semantic and Syntactic Relationships for Software Vulnerability Detection
Inference for decorated graphs and application to multiplex networks
A Residual Based A Posteriori Error Estimators for AFC Schemes for Convection-Diffusion Equations
Analyzing the Performance of Lock-Free Data Structures: A Conflict-based Model
On secure communication in sensor networks under q-composite key predistribution with unreliable links
Machine Learning-Aided Cooperative Localization under Dense Urban Environment
Inducing Individual Students' Learning Strategies through Homomorphic POMDPs
Reconfigurable, Transformable Soft Pneumatic Actuator with Tunable 3D Deformations for Dexterous Soft Robotics Applications
Reducing Semantic Ambiguity In Domain Adaptive Semantic Segmentation Via Probabilistic Prototypical Pixel Contrast
Interrupted and cascaded permutation invariant training for speech separation
Reconfigurable Robots for Scaling Reef Restoration
Chatbots Are Not Reliable Text Annotators
Geological Field Restoration through the Lens of Image Inpainting
Quantum and semi-quantum sealed-bid auction: Vulnerabilities and advantages
Physics-based block preconditioning for mixed-dimensional beam-solid interaction
TAOTF: A Two-stage Approximately Orthogonal Training Framework in Deep Neural Networks
Generative AI for learning: Investigating the potential of synthetic learning videos
A threshold-type algorithm to the gradient flow of the Canham-Helfrich functional
How Panel Layouts Define Manga: Insights from Visual Ablation Experiments
Two-stage Deep Denoising with Self-guided Noise Attention for Multimodal Medical Images
A Simple Algorithm for Approximation by Nomographic Functions
A Mixed Integer Linear Programming Model for Multi-Satellite Scheduling
Deep Physics Prior for First Order Inverse Optimization
Compression Stress Effect on Dislocations Movement and Crack propagation in Cubic Crystal
Gaussian Process Regression in the Flat Limit
Attention Sinks and Compression Valleys in LLMs are Two Sides of the Same Coin
Convex NMPC reformulations for a special class of nonlinear multi-input systems with application to rank-one bilinear networks
Applications of Statistical Field Theory in Deep Learning
Securing Social Spaces: Harnessing Deep Learning to Eradicate Cyberbullying
MIX : a Multi-task Learning Approach to Solve Open-Domain Question Answering
CARTS: Cooperative and Adaptive Resource Triggering and Stitching for 5G ISAC
Two-stage Sampling, Prediction and Adaptive Regression via Correlation Screening (SPARCS)
A Stealthy Backdoor Attack for Without-Label-Sharing Split Learning
Time Series Forecasting of New Cases and New Deaths Rate for COVID-19 using Deep Learning Methods
Achievable Rates for Channels with Deletions and Insertions
Subspace clustering in high-dimensions: Phase transitions \& Statistical-to-Computational gap
RISC and CISC
OccuEMBED: Occupancy Extraction Merged with Building Energy Disaggregation for Occupant-Responsive Operation at Scale
Adaptive image-feature learning for disease classification using inductive graph networks
An Adaptive System Architecture for Multimodal Intelligent Transportation Systems
CASE - Condition-Aware Sentence Embeddings for Conditional Semantic Textual Similarity Measurement
PART: Pre-trained Authorship Representation Transformer
Conceptualization Topic Modeling
Teaching K-12 Classrooms Data Programming: A Three-Week Workshop with Online and Unplugged Activities
Inventions on Adaptable Menu: A TRIZ based analysis
A Study of PHOC Spatial Region Configurations for Math Formula Retrieval
Towards On-Device AI and Blockchain for 6G enabled Agricultural Supply-chain Management
FishAI 2.0: Marine Fish Image Classification with Multi-modal Few-shot Learning
Learning Dual-Pixel Alignment for Defocus Deblurring
Stochastic gradient descent-based inference for dynamic network models with attractors
DebtFree: Minimizing Labeling Cost in Self-Admitted Technical Debt Identification using Semi-Supervised Learning
Identifying Patient-Specific Root Causes with the Heteroscedastic Noise Model
Evaluation of State-of-the-Art Deep Learning Techniques for Plant Disease and Pest Detection
For A More Comprehensive Evaluation of 6DoF Object Pose Tracking
Probabilistic Clustering Using Maximal Matrix Norm Couplings
An Adaptive Cache-Friendly Priority Queue: Fine-Tuning Heap Efficiency
Unveiling Concept Attribution in Diffusion Models
A New Accelerated Stochastic Gradient Method with Momentum
The Impact of Situation Clustering in Contextual-Bandit Algorithm for Context-Aware Recommender Systems
When hard negative sampling meets supervised contrastive learning
Sequential Data-Assisted Control in Flight
Reinforcement Learning-based Model Predictive Control for Greenhouse Climate Control
Secrecy-Verifiability Paradox in Smart Contracts
Classification of Planar Monomials Over Finite Fields of Small Order
On Scheduling Ring-All-Reduce Learning Jobs in Multi-Tenant GPU Clusters with Communication Contention
A Levy Flight based Narrow Passage Sampling Method for Probabilistic Roadmap Planners
Inpainting in discrete Sobolev spaces: structural information for uncertainty reduction
Operator Autoencoders: Learning Physical Operations on Encoded Molecular Graphs
pH Prediction by Artificial Neural Networks for the Drinking Water of the Distribution System of Hyderabad City
An Evaluation of Large Language Models in Bioinformatics Research
Towards Class-agnostic Tracking Using Feature Decorrelation in Point Clouds
Reservoir Computing with Colloidal Mixtures of ZnO and Proteinoids
FADE: Fast and Asymptotically efficient Distributed Estimator for dynamic networks
Decidable fragments of first-order modal logics with counting quantifiers over varying domains
The Adaptive Vekua Cascade: A Differentiable Spectral-Analytic Solver for Physics-Informed Representation
The eigenvalues of stochastic blockmodel graphs
Depth-Bounds for Neural Networks via the Braid Arrangement
Deep Generative Quantile-Copula Models for Probabilistic Forecasting
The Electric Vehicle Routing Problem with Nonlinear Charging Functions
Regularized Gauss-Newton for Optimizing Overparameterized Neural Networks
Stochastic graph Voronoi tessellation reveals community structure
In Order Packet Delivery in Instantly Decodable Network Coded Systems over Wireless Broadcast
The Space of Functions Computed By Deep Layered Machines
Reinforcement Learning for Financial Index Tracking
GLMNet: Graph Learning-Matching Networks for Feature Matching
SMAR: Soft Modality-Aware Routing Strategy for MoE-based Multimodal Large Language Models Preserving Language Capabilities
O_FT@EvalLLM2025 : étude comparative de choix de données et de stratégies d'apprentissage pour l'adaptation de modèles de langue à un domaine
Predicting human preferences using the block structure of complex social networks
On stability and convergence of L2-1 σ method on general nonuniform meshes for subdiffusion equation
Contact Tracing: An Overview of Technologies and Cyber Risks
Autonomous Situational Awareness for UAS Swarms
A Formal Semantic for UML 2.0 Activity Diagram based on Institution Theory
Deepfake Detection using Spatiotemporal Convolutional Networks
Towards a Pipeline for Real-Time Visualization of Faces for VR-based Telepresence and Live Broadcasting Utilizing Neural Rendering
Haptics of Screwing and Unscrewing for its Application in Smart Factories for Disassembly
QoE Maximization for Multiple-UAV-Assisted Multi-Access Edge Computing: An Online Joint Optimization Approach
Online Learning via Differential Privacy
Towards Recommender Systems LLMs Playground (RecSysLLMsP): Exploring Polarization and Engagement in Simulated Social Networks
Psychologically-Inspired Music Recommendation System
Decoupling Augmentation Bias in Prompt Learning for Vision-Language Models
The Self-Execution Benchmark: Measuring LLMs' Attempts to Overcome Their Lack of Self-Execution
Generating Pertinent and Diversified Comments with Topic-aware Pointer-Generator Networks
Design and Implementation of a Takum Arithmetic Hardware Codec in VHDL
Extending the Applicability of Bloom Filters by Relaxing their Parameter Constraints
Enhancing Energy-efficiency by Solving the Throughput Bottleneck of LSTM Cells for Embedded FPGAs
Know Me by My Pulse: Toward Practical Continuous Authentication on Wearable Devices via Wrist-Worn PPG
Structural Teacher-Student Normality Learning for Multi-Class Anomaly Detection and Localization
Conservation Voltage Reduction (CVR) via Two-Timescale Control in Unbalanced Power Distribution Systems
Raven: Open Surgical Robotic Platforms
Federated Learning for Internet of Things: Applications, Challenges, and Opportunities
The Phong Surface: Efficient 3D Model Fitting using Lifted Optimization
CM-DQN: A Value-Based Deep Reinforcement Learning Model to Simulate Confirmation Bias
An Efficient Cluster-based Routing Protocol in Cognitive Radio Net-work
Estimation of Received Signal Strength Distribution for Smart Meters with Biased Measurement Data Set
Generalizing vision-language models to novel domains: A comprehensive survey
Pathology Image Restoration via Mixture of Prompts
Programming of Cellular Automata in C and C++
Coarse-Graining Hamiltonian Systems Using WSINDy
Do-AIQ: A Design-of-Experiment Approach to Quality Evaluation of AI Mislabel Detection Algorithm
Overcoming Problems in the Measurement of Biological Complexity
FINRS: A Risk-Sensitive Trading Framework for Real Financial Markets
Modeling the Probabilistic Distribution of Unlabeled Data forOne-shot Medical Image Segmentation
Achieving >97% on GSM8K: Deeply Understanding the Problems Makes LLMs Better Reasoners
Features Based Adaptive Augmentation for Graph Contrastive Learning
Towards Better Data Exploitation In Self-Supervised Monocular Depth Estimation
Scalable and Provably Accurate Algorithms for Differentially Private Distributed Decision Tree Learning
Towards Deriving Verification Properties
About some generalizations trigonometric splines
IDOL: Meeting Diverse Distribution Shifts with Prior Physics for Tropical Cyclone Multi-Task Estimation
SiDGen: Structure-informed Diffusion for Generative modeling of Ligands for Proteins
Characterization of the equivalence of robustification and regularization in linear, median, and matrix regression
Efficient Text Classification with Conformal In-Context Learning
Properties of phoneme N -grams across the world's language families
Accuracy and Fairness Trade-offs in Machine Learning: A Stochastic Multi-Objective Approach
Scholars mobility and its impact on the knowledge producers' workforce of European regions
Fragmentation model and strewn field estimation for meteoroids entry
MSRBench: A Benchmarking Dataset for Music Source Restoration
Finding the optimal nets for self-folding Kirigami
Learning with Changing Features
A Survey on Evaluation Metrics for Music Generation
Large Catapults in Momentum Gradient Descent with Warmup: An Empirical Study
RMFAT: Recurrent Multi-scale Feature Atmospheric Turbulence Mitigator
UniConFlow: A Unified Constrained Generalization Framework for Certified Motion Planning with Flow Matching Models
Lifelong 3D Mapping Framework for Hand-held & Robot-mounted LiDAR Mapping Systems
On the Dynamics of a Recurrent Hopfield Network
Evaluation of Programming Models and Performance for Stencil Computation on Current GPU Architectures
The Role of Network and Identity in the Diffusion of Hashtags
Block gluing intensity of bidimensional SFT: computability of the entropy and periodic points
Learning in Networked Control Systems
AdaPruner: Adaptive Channel Pruning and Effective Weights Inheritance
Synonym search in Wikipedia: Synarcher
Adaptive Low Light Enhancement via Joint Global-Local Illumination Adjustment
Overview of the Triple Scoring Task at the WSDM Cup 2017
Enhanced DACER Algorithm with High Diffusion Efficiency
Syntactic Persistence in Language Models: Priming as a Window into Abstract Language Representations
NeRF synthesis with shading guidance
From Modal to Multimodal Ambiguities: a Classification Approach
Boosting Semi-Supervised Face Recognition with Noise Robustness
Sampling Strategies for Creation of a Benchmark for Dialectal Sentiment Classification
VDAWorld: World Modelling via VLM-Directed Abstraction and Simulation
Generalizing Informed Sampling for Asymptotically Optimal Sampling-based Kinodynamic Planning via Markov Chain Monte Carlo
Positive-incentive Noise
Transferring knowledge from monitored to unmonitored areas for forecasting parking spaces
Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective
Learning to Augment for Data-Scarce Domain BERT Knowledge Distillation
A conservativity result for homotopy elementary types in dependent type theory
A simple algorithm for decoding both errors and erasures of Reed-Solomon codes
Deep Generative Models for Detector Signature Simulation: An Analytical Taxonomy
Non cooperative Liquidity Games and their application to bond market trading
Learning finitely correlated states: stability of the spectral reconstruction
The Logic of XACML - Extended
Numerical Derivative-based Flexible Integration Algorithm for Power Electronic Systems Simulation Considering Nonlinear Components
Data-driven time parallelism via forecasting
Channel-Wise Mixed-Precision Quantization for Large Language Models
So You Need Datasets for Your COVID-19 Detection Research Using Machine Learning?
Experience Transfer for Robust Direct Data-Driven Control
LOF: Structure-Aware Line Tracking based on Optical Flow
A Note on the Complexity of One-Sided Crossing Minimization of Trees
Stratified Sampling for Extreme Multi-Label Data
Learning-Based TSP-Solvers Tend to Be Overly Greedy
GANORM: Lifespan Normative Modeling of EEG Network Topology based on Multinational Cross-Spectra
Light Weight Character and Shape Recognition for Autonomous Drones
Masked Multi-Step Multivariate Time Series Forecasting with Future Information
Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19
Towards Lightweight Lane Detection by Optimizing Spatial Embedding
Sparse Gaussian Process Based On Hat Basis Functions
Design, analysis and implementation of electronic test for knowledge evaluation in the course of Information Technologies for pharmaceutical students
Chaotic, informational and synchronous behaviour of multiplex networks
Fast Exact NPN Classification with Influence-aided Canonical Form
Reverse Supply Chain Network Design of a Polyurethane Waste Upcycling System
Variational models for signal processing with Graph Neural Networks
Enabling security and High Energy Efficiency in the Internet of Things with Massive MIMO Hybrid Precoding
Approximating the Frequency Response of Contractive Systems
Label Propagation for Graph Label Noise
Large-Scale Corba-Distributed Software Framework for Nif Controls
Web Services Dependency Networks Analysis
A Neuromorphic Approach to Obstacle Avoidance in Robot Manipulation
NILM as a regression versus classification problem: the importance of thresholding
Imitation Learning-Based Path Generation for the Complex Assembly of Deformable Objects
Quaternion kinematics for the error-state Kalman filter
Conservative World Models
From MNIST to ImageNet and Back: Benchmarking Continual Curriculum Learning
Securing GNNs: Explanation-Based Identification of Backdoored Training Graphs
Meta-Learning with Heterogeneous Tasks
A Compendium of Control-Oriented Models of Gas Processing Equipment Components
A Coordination-based Approach for Focused Learning in Knowledge-Based Systems
Mining Combined Causes
Towards Channel Charting Enhancement with Non-Reconfigurable Intelligent Surfaces
Overview of the ClinIQLink 2025 Shared Task on Medical Question-Answering
Shadow and Light: Digitally Reconstructed Radiographs for Disease Classification
Privacy-Preserving Model-Distributed Inference at the Edge
Task Fingerprinting for Meta Learning in Biomedical Image Analysis
Detection of Retinal Blood Vessels by using Gabor filter with Entropic threshold
Zero-Shot Style Transfer for Gesture Animation driven by Text and Speech using Adversarial Disentanglement of Multimodal Style Encoding
On the Axiomatizability of Impossible Futures
Is the U-Net Directional-Relationship Aware?
A model of Clocked Cubical Type Theory
Introducing Visual Perception Token into Multimodal Large Language Model
Duality between controllability and observability for target control and estimation in networks
A numbering algorithm for finite element on extruded meshes which avoids the unstructured mesh penalty
MSCCL++: Rethinking GPU Communication Abstractions for Cutting-edge AI Applications
Enabling Physical AI at the Edge: Hardware-Accelerated Recovery of System Dynamics
CoMAT: Chain of Mathematically Annotated Thought Improves Mathematical Reasoning
Equalization Methods for NLIN Mitigation
Handling Multiple Costs in Optimal Transport: Strong Duality and Efficient Computation
Meaningful play and malicious delight: Exploring maldaimonic game UX
Dynamic and Distributed Routing in IoT Networks based on Multi-Objective Q-Learning
GuessBench: Sensemaking Multimodal Creativity in the Wild
TUNA: Taming Unified Visual Representations for Native Unified Multimodal Models
Listen-and-Talk: Full-duplex Cognitive Radio Networks
A hybrid discrete-continuum approach to model hydro-mechanical behaviour of soil during desiccation
Channel Estimation for mmWave Massive MIMO Based Access and Backhaul in Ultra-Dense Network
Geometry-Aware Fruit Grasping Estimation for Robotic Harvesting in Orchards
Probabilistic Reasoning across the Causal Hierarchy
Doubly Deformable Aggregation of Covariance Matrices for Few-shot Segmentation
Transparent Anonymization: Thwarting Adversaries Who Know the Algorithm
Unsupervised Graph Representation by Periphery and Hierarchical Information Maximization
Evolutionary Construction of Geographical Networks with Nearly Optimal Robustness and Efficient Routing Properties
Towards Cognitive-and-Immersive Systems: Experiments in a Shared (or common) Blockworld Framework
LMD-PGN: Cross-Modal Knowledge Distillation from First-Person-View Images to Third-Person-View BEV Maps for Universal Point Goal Navigation
Panoptic Segmentation and Labelling of Lumbar Spine Vertebrae using Modified Attention Unet
Assessment of the CRD approximation for the observer's frame RIII redistribution matrix
Can AI automatically analyze public opinion? A LLM agents-based agentic pipeline for timely public opinion analysis
Typed Image-based Programming with Structure Editing
A survey on the development status and application prospects of knowledge graph in smart grids
Data-dependent Bounds with T -Optimal Best-of-Both-Worlds Guarantees in Multi-Armed Bandits using Stability-Penalty Matching
A Script Language for Data Integration in Database
On the Robustness of Medical Vision-Language Models: Are they Truly Generalizable?
A Simple Strategy for Body Estimation from Partial-View Images
DimGrow: Memory-Efficient Field-level Embedding Dimension Search
The Horse Raced Past: Gardenpath Processing in Dynamical Systems
Teaching the Formalization of Mathematical Theories and Algorithms via the Automatic Checking of Finite Models
Entanglement distribution in quantum networks via swapping of partially entangled states
UltraHorizon: Benchmarking Agent Capabilities in Ultra Long-Horizon Scenarios
Stiefel manifolds and upper bounds for spherical codes and packings
An Effective Two-Branch Model-Based Deep Network for Single Image Deraining