yusuke1997/dblp-id-title huggingface dataset:
Sub-sampling and other considerations for efficient risk estimation in large portfolios
When Personalization Tricks Detectors: The Feature-Inversion Trap in Machine-Generated Text Detection
Implicit Priors Editing in Stable Diffusion via Targeted Token Adjustment
Complementary Waveforms for Range-Doppler Sidelobe Suppression Based on a Null Space Approach
Physics-Informed Neural Networks for AC Optimal Power Flow
Graph-Convolutional Deep Learning to Identify Optimized Molecular Configurations
Your data is your dogfood: DevOps in the astronomical observatory
Explainable AI in Genomics: Transcription Factor Binding Site Prediction with Mixture of Experts
Speech Emotion Recognition Based on Multi-feature and Multi-lingual Fusion
Multi-Layer Local Graph Words for Object Recognition
Model-based Speech Enhancement for Intelligibility Improvement in Binaural Hearing Aids
A Diffusion Model for Regular Time Series Generation from Irregular Data with Completion and Masking
A Bird Song Detector for improving bird identification through Deep Learning: a case study from Doñana
Normalized/Clipped SGD with Perturbation for Differentially Private Non-Convex Optimization
APPFLChain: A Privacy Protection Distributed Artificial-Intelligence Architecture Based on Federated Learning and Consortium Blockchain
Normalized rotation shape descriptors and lossy compression of molecular shape
Feature-metric Loss for Self-supervised Learning of Depth and Egomotion
GeoAuxNet: Towards Universal 3D Representation Learning for Multi-sensor Point Clouds
Estimating leverage scores via rank revealing methods and randomization
Grid-Based Decimation for Wavelet Transforms with Stably Invertible Implementation
Optimal energetic paths for electric cars
Interpretable Partial Discharge Detection with Temporal Convolution and Pulse Activation Maps: An application to Power Lines
Multiplex Nodal Modularity: A novel network metric for the regional analysis of amnestic mild cognitive impairment during a working memory binding task
Tutorial Recommendation for Livestream Videos using Discourse-Level Consistency and Ontology-Based Filtering
Geometry aware inference of steady state PDEs using Equivariant Neural Fields representations
Empirical analysis of Binding Precedent efficiency in the Brazilian Supreme Court via Similar Case Retrieval
What's the Problem, Linda? The Conjunction Fallacy as a Fairness Problem
Modeling Actuation Constraints for IoT Applications
Loop Closure from Two Views: Revisiting PGO for Scalable Trajectory Estimation through Monocular Priors
Universal Retrieval for Multimodal Trajectory Modeling
A unified approach for multi-object triangulation, tracking and camera calibration
On the Adimensional Scale Invariant Steffensen (ASIS) Method
Advancing Parkinson's Disease Progression Prediction: Comparing Long Short-Term Memory Networks and Kolmogorov-Arnold Networks
Medicines Question Answering System, MeQA
Interakt - A Multimodal Multisensory Interactive Cognitive Assessment Tool
REO-VLM: Transforming VLM to Meet Regression Challenges in Earth Observation
Asymptotic approximations and bounds for the incomplete elliptic integral of the second kind near the logarithmic singularity
A Statistical Learning Based System for Fake Website Detection
Functional renormalization group for signal detection and stochastic ergodicity breaking
PersONAL: Towards a Comprehensive Benchmark for Personalized Embodied Agents
Spatio-Temporal LLM: Reasoning about Environments and Actions
Meta-learning for mixed linear regression
A Multivariate Unimodality Test Harnenssing the Dip Statistic of Mahalanobis Distances Over Random Projections
No-Substitution $k$-means Clustering with Low Center Complexity and Memory
Zero-shot Commonsense Question Answering with Cloze Translation and Consistency Optimization
Fidelity-Induced Interpretable Policy Extraction for Reinforcement Learning
Measuring Bias in AI Models with Application to Face Biometrics: An Statistical Approach
Machine learning-based parameter optimization for Müntz spectral methods
Generating corneal panoramic images from contact specular microscope images
CodeAD: Synthesize Code of Rules for Log-based Anomaly Detection with LLMs
Unsupervised Gene Expression Data using Enhanced Clustering Method
Conditional generation of multi-modal data using constrained embedding space mapping
MaxMin Separation Problems: FPT Algorithms for st -Separator and Odd Cycle Transversal
Enhancing AI microscopy for foodborne bacterial classification via adversarial domain adaptation across optical and biological variability
Revealing the online network between University and Industry: The case of Turkey
Computing CQ lower-bounds over OWL 2 through approximation to RSA
The AWGN BC with MAC Feedback: A Reduction to Noiseless Feedback via Interaction
Anomaly Score: Evaluating Generative Models and Individual Generated Images based on Complexity and Vulnerability
OpTorch: Optimized deep learning architectures for resource limited environments
Idefix-Closed Languages and Their Application in Contextual Grammars
Optimistic MLE - A Generic Model-based Algorithm for Partially Observable Sequential Decision Making
Usage of Cloud Computing Simulators and Future Systems For Computational Research
Flexible Intelligent Layered Metasurfaces for Downlink Multi-user MISO Communications
Differentially Private SGDA for Minimax Problems
On the Evaluation and Validation of Off-the-shelf Statistical Shape Modeling Tools: A Clinical Application
A mechanism of Individualistic Indirect Reciprocity with internal and external dynamics
Generate the corresponding Image from Text Description using Modified GAN-CLS Algorithm
GC-GRU-N for Traffic Prediction using Loop Detector Data
A relaxation accelerated two-sweep modulus-based matrix splitting iteration method for solving linear complementarity problems
Approximation of almost diagonal non-linear maps by lattice Lipschitz operators
Enhancing IoT Network Security through Adaptive Curriculum Learning and XAI
Addicts without Substance? Social Media Addiction when Facebook Shuts Down
On Energy Allocation and Data Scheduling in Backscatter Networks with Multi-antenna Readers
Finding d-Cuts in Claw-free Graphs
Modelling Major Disease Outbreaks in the 21st Century: A Causal Approach
Closing in on Time and Space Optimal Construction of Compressed Indexes
Epidemics on Networks
Improving Health Mentioning Classification of Tweets using Contrastive Adversarial Training
The rent's too high: Self-archive for fair online publication costs
Adaptive Learning Guided by Bias-Noise-Alignment Diagnostics
Cat: Post-training quantization error reduction via cluster-based affine transformation
A Control-Theoretic Perspective on BBR/CUBIC Congestion-Control Competition
Understanding Road Layout from Videos as a Whole
Few-shot 3D Shape Generation
Day-Ahead Programming of Energy Communities Participating in Pay-as-Bid Service Markets
Bayesian QuickNAT: Model Uncertainty in Deep Whole-Brain Segmentation for Structure-wise Quality Control
Approximating q → p Norms of Non-Negative Matrices in Nearly-Linear Time
BigData Applications from Graph Analytics to Machine Learning by Aggregates in Recursion
Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models
FireScope: Wildfire Risk Prediction with a Chain-of-Thought Oracle
Zero-Delay QKV Compression for Mitigating KV Cache and Network Bottlenecks in LLM Inference
Phase reconstruction based on recurrent phase unwrapping with deep neural networks
Model Agnostic Combination for Ensemble Learning
Learning to Cover: Online Learning and Optimization with Irreversible Decisions
Cross-domain Neural Pitch and Periodicity Estimation
Algebraic Soft-Decision Decoding of Hermitian Codes
Comparative assessment of typical controlrealizations of grid forming converters based ontheir voltage source behaviour
LADAR-Based Mover Detection from Moving Vehicles
How a minimal learning agent can infer the existence of unobserved variables in a complex environment
Quantifying Policy Administration Cost in an Active Learning Framework
InstantIR: Blind Image Restoration with Instant Generative Reference
CarLLaVA: Vision language models for camera-only closed-loop driving
Do You Even Need Attention? A Stack of Feed-Forward Layers Does Surprisingly Well on ImageNet
GANPOP: Generative Adversarial Network Prediction of Optical Properties from Single Snapshot Wide-field Images
Split Boot - True Network-Based Booting on Heterogeneous MPSoCs
Semantic Change Pattern Analysis
PlantVillageVQA: A Visual Question Answering Dataset for Benchmarking Vision-Language Models in Plant Science
A Multi-Model Adaptation of Speculative Decoding for Classification
Solving Parameter Estimation Problems with Discrete Adjoint Exponential Integrators
Joint Probabilities within Random Permutations
Two Efficient Beamformers for Secure Precise Jamming and Communication with Phase Alignment
A reduction of the logspace shortest path problem to biconnected graphs
Time synchronization protocol for the KLJN secure key exchange scheme
Calibrated Predictive Distributions via Diagnostics for Conditional Coverage
Bounds for the VC Dimension of 1NN Prototype Sets
The rising of collective forgetting and cultural selectivity in inventors and physicists communities
LGN-Net: Local-Global Normality Network for Video Anomaly Detection
StereoMV2D: A Sparse Temporal Stereo-Enhanced Framework for Robust Multi-View 3D Object Detection
Prescient teleoperation of humanoid robots
DiffusionVMR: Diffusion Model for Video Moment Retrieval
Strategic Availability and Cost Effective UAV-based Flying Access Networks: S-Modular Game Analysis
Izindaba-Tindzaba: Machine learning news categorisation for Long and Short Text for isiZulu and Siswati
Boundary Regression for Leitmotif Detection in Music Audio
Learning compact generalizable neural representations supporting perceptual grouping
Reducing Causality to Functions with Structural Models
From Images to Point Clouds: An Efficient Solution for Cross-media Blind Quality Assessment without Annotated Training
Diverse Beam Search for Increased Novelty in Abstractive Summarization
Differential reduction of generalized hypergeometric functions in application to Feynman diagrams: One-variable case
Empirical Analysis of Digital Innovations Impact on Corporate ESG Performance: The Mediating Role of GAI Technology
Dynamic Sounding for Multi-User MIMO in Wireless LANs
LiMITS: An Effective Approach for Trajectory Simplification
LDPC Code Design for Transmission of Correlated Sources Across Noisy Channels Without CSIT
Inference of Abstraction for Grounded Predicate Logic
Cooperative versus decentralized strategies in three-pursuer single-evader games
Mixture-of-Domain-Adapters: Decoupling and Injecting Domain Knowledge to Pre-trained Language Models Memories
Home Location Estimation Using Weather Observation Data
Proof-Based Synthesis of Sorting Algorithms Using Multisets in Theorema
Linear Function Approximation as a Computationally Efficient Method to Solve Classical Reinforcement Learning Challenges
Addressing Class Imbalance and Data Limitations in Advanced Node Semiconductor Defect Inspection: A Generative Approach for SEM Images
Coded Caching with Partial Adaptive Matching
Improved analysis of the subsampled randomized Hadamard transform
PARDINUS: Weakly supervised discarding of photo-trapping empty images based on autoencoders
Better Boosting with Bandits for Online Learning
Trying to Outrun Causality with Machine Learning: Limitations of Model Explainability Techniques for Identifying Predictive Variables
Cascaded Context Enhancement for Automated Skin Lesion Segmentation
Large language models streamline automated systematic review: A preliminary study
Dynamic Nested Hierarchies: Pioneering Self-Evolution in Machine Learning Architectures for Lifelong Intelligence
Challenges for AI in Multimodal STEM Assessments: a Human-AI Comparison
TURB-Rot. A large database of 3d and 2d snapshots from turbulent rotating flows
Federated Learning With Quantized Global Model Updates
AI-Empowered Human Research Integrating Brain Science and Social Sciences Insights
Guidestar-free image-guided wavefront-shaping
Streaming Network for Continual Learning of Object Relocations under Household Context Drifts
The Five Safes as a Privacy Context
Discovery of subdiffusion problem with noisy data via deep learning
Likelihood adjusted semidefinite programs for clustering heterogeneous data
Holistic Memory Diversification for Incremental Learning in Growing Graphs
Exploiting Representation Bias for Data Distillation in Abstractive Text Summarization
Improved Discretization of the Full First-Order Magnetic Field Integral Equation
Query answering in lattice-based description logic
DeepTwist: Learning Model Compression via Occasional Weight Distortion
Popular matchings with two-sided preferences and one-sided ties
Voxeland: Probabilistic Instance-Aware Semantic Mapping with Evidence-based Uncertainty Quantification
Federated Learning Assisted Distributed Energy Optimization
On Initializing Airline Crew Pairing Optimization for Large-scale Complex Flight Networks
Green LTE Broadcasting
Preserving Identity with Variational Score for General-purpose 3D Editing
Whole-Herd Elephant Pose Estimation from Drone Data for Collective Behavior Analysis
Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems
Enforcing constraints for time series prediction in supervised, unsupervised and reinforcement learning
On the Trade-off Between Efficiency and Precision of Neural Abstraction
Approximation Algorithm for Unrooted Prize-Collecting Forest with Multiple Components and Its Application on Prize-Collecting Sweep Coverage
A Framework for Self-Admitted Technical Debt Identification and Description
Software architecture and manual for novel versatile CT image analysis toolbox - AnatomyArchive
Sharing HOL4 and HOL Light proof knowledge
On the Multiplexing Gain of MIMO Phase Noise Channels
Time-to-event regression using partially monotonic neural networks
The Evolution of Stack Overflow Posts: Reconstruction and Analysis
Automated Item Neutralization for Non-Cognitive Scales: A Large Language Model Approach to Reducing Social-Desirability Bias
Energy-Tweedie: Score meets Score, Energy meets Energy
Answer Set Networks: Casting Answer Set Programming into Deep Learning
Relating Information and Proof
Verifix: Post-Training Correction to Improve Label Noise Robustness with Verified Samples
Competing spreading processes on multiplex networks: awareness and epidemics
Non-Conforming Mesh Refinement for High-Order Finite Elements
Tighter Bounds on the Inefficiency Ratio of Stable Equilibria in Load Balancing Games
Prediction of Facebook Post Metrics using Machine Learning
Reinforcement Learning Provides a Flexible Approach for Realistic Supply Chain Safety Stock Optimisation
Constituency Structure over Eojeol in Korean Treebanks
Subgroup Discovery in Unstructured Data
Tug-of-War: Observations on Unified Content Handling
The Moral Gap of Large Language Models
GDSP: A Graphical Perspective on the Distributed Storage Systems
Offense Detection in Dravidian Languages using Code-Mixing Index based Focal Loss
Quantum Speed-ups for String Synchronizing Sets, Longest Common Substring, and k-mismatch Matching
Digital Self Triggered Robust Control of Nonlinear Systems
TTF: A Trapezoidal Temporal Fusion Framework for LTV Forecasting in Douyin
An Asynchronous Decentralised Optimisation Algorithm for Nonconvex Problems
Quorum Systems in Permissionless Network
On the Universal Approximability of Quantized ReLU Neural Networks
Tangles and the Mona Lisa
Understanding Longitudinal Behaviors of Toxic Accounts on Reddit
Towards Activity Context using Software Sensors
Divide-Verify-Refine: Aligning LLM Responses with Complex Instructions
Brain-Gen: Towards Interpreting Neural Signals for Stimulus Reconstruction Using Transformers and Latent Diffusion Models
Designing across domains with declarative thinking: Insights from the 96-Eyes ptychographic imager project
World of Movable Objects. Part 1
Utilizing Large Language Models to Optimize the Detection and Explainability of Phishing Websites
Data-Driven Matrix Recovery with High-Dimensional Noise via Optimal Shrinkage of Singular Values and Wavelet Shrinkage of Singular Vectors
A New Robot Arm Calibration Method Based on Cubic Interpolated Beetle Antennae Search Approach
Exploiting all phone media? A multidimensional network analysis of phone users' sociality
LPYOLO: Low Precision YOLO for Face Detection on FPGA
Distributive Pre-Training of Generative Modeling Using Matrix-Product States
Curriculum-Based Multi-Tier Semantic Exploration via Deep Reinforcement Learning
Personalised Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation
Enhancing Interpretability Through Loss-Defined Classification Objective in Structured Latent Spaces
GS-DiT: Advancing Video Generation with Pseudo 4D Gaussian Fields through Efficient Dense 3D Point Tracking
Declarative Statistics
DiSA-IQL: Offline Reinforcement Learning for Robust Soft Robot Control under Distribution Shifts
The Adjacent Fragment and Quine's Limits of Decision
Partly Smooth Regularization of Inverse Problems
The Social Medium Selection Game
Universality of kernel random matrices and kernel regression in the quadratic regime
The maximum disjoint paths problem on multi-relations social networks
Evaluating the Safety of Deep Reinforcement Learning Models using Semi-Formal Verification
Markovian multiserver queues with staggered setup for data centers
Many-for-Many: Unify the Training of Multiple Video and Image Generation and Manipulation Tasks
Fine Grained Insider Risk Detection
Laplace-Approximated Neural Additive Models: Improving Interpretability with Bayesian Inference
Efficient Zero-Order Federated Finetuning of Language Models for Resource-Constrained Devices
DiverseNet: When One Right Answer is not Enough
DATE: Dual Assignment for End-to-End Fully Convolutional Object Detection
Error Profile for Discontinuous Galerkin Time Stepping of Parabolic PDEs
A Two-Level Variant of Additive Schwarz Preconditioning for Use in Reservoir Simulation
NoPPA: Non-Parametric Pairwise Attention Random Walk Model for Sentence Representation
Local-Curvature-Aware Knowledge Graph Embedding: An Extended Ricci Flow Approach
Real-World Choreographic Programming: An Experience Report
Methods and Techniques for Dynamic Deployability of Software-Defined Security Services
Flexible Tool Selection through Low-dimensional Attribute Alignment of Vision and Language
The cost of fairness in classification
Solving Kernel Ridge Regression with Gradient Descent for a Non-Constant Kernel
Anesthesiologist-level forecasting of hypoxemia with only SpO2 data using deep learning
Ansor : Generating High-Performance Tensor Programs for Deep Learning
Data-Driven Relevance Judgments for Ranking Evaluation
BIRL: Benchmark on Image Registration methods with Landmark validation
Automatic differentiation and the optimization of differential equation models in biology
Coauthorship and citation in scientific publishing
Hamiltonian chordal graphs are not cycle extendible
Mamba4Rec: Towards Efficient Sequential Recommendation with Selective State Space Models
Safe & Robust Reachability Analysis of Hybrid Systems
Data-driven Prediction of Species-Specific Plant Responses to Spectral-Shifting Films from Leaf Phenotypic and Photosynthetic Traits
Educating LLMs like Human Students: Structure-aware Injection of Domain Knowledge
Foot-In-The-Door: A Multi-turn Jailbreak for LLMs
In-IDE Generation-based Information Support with a Large Language Model
Identifying Interpretable Visual Features in Artificial and Biological Neural Systems
Learning-based Prediction and Uplink Retransmission for Wireless Virtual Reality (VR) Network
Deep Predictive Coding with Bi-directional Propagation for Classification and Reconstruction
The Effect of Gender Diversity on Scientific Team Impact: A Team Roles Perspective
Throughput Maximization in Multi-Hop Wireless Networks under Secrecy Constraint
Connecting the Dots: A Chain-of-Collaboration Prompting Framework for LLM Agents
Full-Duplex Backscatter Interference Networks Based on Time-Hopping Spreading Spectrum
Good Practice in CNN Feature Transfer
MMPerspective: Do MLLMs Understand Perspective? A Comprehensive Benchmark for Perspective Perception, Reasoning, and Robustness
Subgraph Sparsification and Nearly Optimal Ultrasparsifiers
Design and Analysis of Robust Ballistic Landings on the Secondary of a Binary Asteroid
Simulación de la distribución de alimento en el cultivo de camarón
Linear Time Encoding of LDPC Codes
Transferring Rich Feature Hierarchies for Robust Visual Tracking
Differential Generative Adversarial Networks: Synthesizing Non-linear Facial Variations with Limited Number of Training Data
Maintenance cost assessment for heterogeneous multi-component systems incorporating perfect inspections and waiting time to maintenance
Confined Gradient Descent: Privacy-preserving Optimization for Federated Learning
Contextual Scenario Generation for Two-Stage Stochastic Programming
Patent-publication pairs for the detection of knowledge transfer from research to industry: reducing ambiguities with word embeddings and references
Nonconvex-Nonconcave Min-Max Optimization with a Small Maximization Domain
How to make RSA and some other encryptions probabilistic
Distributed Δ-Coloring Plays Hide-and-Seek
Race, Religion and the City: Twitter Word Frequency Patterns Reveal Dominant Demographic Dimensions in the United States
SceneAware: Scene-Constrained Pedestrian Trajectory Prediction with LLM-Guided Walkability
Cooperative coevolutionary hybrid NSGA-II with Linkage Measurement Minimization for Large-scale Multi-objective optimization
Block ω-circulant preconditioners for parabolic optimal control problems
Optimal transfer operators in algebraic two-level methods for nonsymmetric and indefinite problems
RollingCache: Using Runtime Behavior to Defend Against Cache Side Channel Attacks
CurveFormer++: 3D Lane Detection by Curve Propagation with Temporal Curve Queries and Attention
Characterizing Image Accessibility on Wikipedia across Languages
Satellite-based ITS Data Offloading & Computation in 6G Networks: A Cooperative Multi-Agent Proximal Policy Optimization DRL with Attention Approach
A Holistic Investigation on Terahertz Propagation and Channel Modeling Toward Vertical Heterogeneous Networks
Evaluating Legal Reasoning Traces with Legal Issue Tree Rubrics
BioArc: Discovering Optimal Neural Architectures for Biological Foundation Models
Quasi Conjunction, Quasi Disjunction, T-norms and T-conorms: Probabilistic Aspects
Initial Offset Placement in p2p Live Streaming Systems
The total irregularity of a graph
Efficient and Distributed Large-Scale Point Cloud Bundle Adjustment via Majorization-Minimization
Systematic Analysis of LLM Contributions to Planning: Solver, Verifier, Heuristic
Multi-agent Deep Reinforcement Learning for Charge-sustaining Control of Multi-mode Hybrid Vehicles
Towards Distortion-Predictable Embedding of Neural Networks
U-Net and its variants for medical image segmentation: theory and applications
Adaptive Locomotion on Mud through Proprioceptive Sensing of Substrate Properties
Green Learning: Introduction, Examples and Outlook
Revisiting Decidable Bounded Quantification, via Dinaturality
Learning efficient sparse and low rank models
DeepScholar-Bench: A Live Benchmark and Automated Evaluation for Generative Research Synthesis
asya: Mindful verbal communication using deep learning
Learned Turbulence Modelling with Differentiable Fluid Solvers
An empirical study on code review activity prediction in practice
Neural Fields for 3D Tracking of Anatomy and Surgical Instruments in Monocular Laparoscopic Video Clips
How well developed are altmetrics? A cross-disciplinary analysis of the presence of 'alternative metrics' in scientific publications
Group-sparse SVD Models and Their Applications in Biological Data
Graph Fourier transform based on singular value decomposition of directed Laplacian
Bayesian Mixture of Experts For Large Language Models
UniVG: A Generalist Diffusion Model for Unified Image Generation and Editing
Abstract error analysis for Cahn-Hilliard type equations with dynamic boundary conditions