yusuke1997/dblp-id-title huggingface dataset:
Toward expert-level motivational interviewing for health behavior improvement with LLMs
AI Mirage: The Impostor Bias and the Deepfake Detection Challenge in the Era of Artificial Illusions
Baseline Desensitizing In Translation Averaging
A unified framework of fully distributed adaptive output time-varying formation control for linear multi-agent systems: an observer viewpoint
Data-Efficient Ensemble Weather Forecasting with Diffusion Models
PCIE_LAM Solution for Ego4D Looking At Me Challenge
Toward a Multilevel Representation of Protein Molecules: Comparative Approaches to the Aggregation/Folding Propensity Problem
A Firewall Optimization for Threat-Resilient Micro-Segmentation in Power System Networks
DAPFAM: A Domain-Aware Patent Retrieval Dataset Aggregated at the Family Level
An Efficient Exponential Sum Approximation of Power-Law Kernels for Solving Fractional Differential Equation
Random Linear Projections Loss for Hyperplane-Based Optimization in Regression Neural Networks
DG-PPU: Dynamical Graphs based Post-processing of Point Clouds extracted from Knee Ultrasounds
An MBO scheme for clustering and semi-supervised clustering of signed networks
RISE-SDF: a Relightable Information-Shared Signed Distance Field for Glossy Object Inverse Rendering
Code spectrum and reliability function: Gaussian channel
Semi-Equivariant Continuous Normalizing Flows for Target-Aware Molecule Generation
Reveal and Release: Iterative LLM Unlearning with Self-generated Data
A time-varying matrix solution to the Brockett decentralized stabilization problem
FooDI-ML: a large multi-language dataset of food, drinks and groceries images and descriptions
They're All Doctors: Synthesizing Diverse Counterfactuals to Mitigate Associative Bias
Beyond Static Tools: Evaluating Large Language Models for Cryptographic Misuse Detection
A CNN-Transformer Deep Learning Model for Real-time Sleep Stage Classification in an Energy-Constrained Wireless Device
A Conceptual Framework for AI Capability Evaluations
Using Learned Predictions as Feedback to Improve Control and Communication with an Artificial Limb: Preliminary Findings
Forced pairs in A-Stick graphs
Distributed Optimal Formation Control for an Uncertain Multiagent System in the Plane
Revisiting Glorot Initialization for Long-Range Linear Recurrences
Signalling Competition and Social Welfare (Working Paper)
Trie-NLG: Trie Context Augmentation to Improve Personalized Query Auto-Completion for Short and Unseen Prefixes
Diversity-Multiplexing-Delay Tradeoffs in MIMO Multihop Networks with ARQ
SCRAM: Spatially Coherent Randomized Attention Maps
Overview of the First Shared Task on Clinical Text Generation: RRG24 and "D$ischarge Me!"
A Neural Architecture for Designing Truthful and Efficient Auctions
Large Language Models as Neurolinguistic Subjects: Identifying Internal Representations for Form and Meaning
Semi-supervised few-shot learning for medical image segmentation
Sentence Correction Based on Large-scale Language Modelling
Deep Tensor Encoding
SDST: Successive Decoding for Speech-to-text Translation
ChevOpt: Continuous-time State Estimation by Chebyshev Polynomial Optimization
Normalized Cut with Reinforcement Learning in Constrained Action Space
Semantic-Guided Representation Enhancement for Self-supervised Monocular Trained Depth Estimation
Generalized Water-filling for Source-Aware Energy-Efficient SRAMs
Rare Yet Popular: Evidence and Implications from Labeled Datasets for Network Anomaly Detection
Reinforcement Fine-Tuning Naturally Mitigates Forgetting in Continual Post-Training
Operator-difference approximations on two-dimensional merged Voronoi-Delaunay grids
Generative AI-enhanced Sector-based Investment Portfolio Construction
Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review
S-Crescendo: A Nested Transformer Weaving Framework for Scalable Nonlinear System in S-Domain Representation
An Indirect Genetic Algorithm for a Nurse Scheduling Problem
Towards Unsupervised Representation Learning: Learning, Evaluating and Transferring Visual Representations
Structure-guided Deep Multi-View Clustering
An Empirical Examination of the Evaluative AI Framework
SimpliPy: A Source-Tracking Notional Machine for Simplified Python
Deep Visual Odometry with Adaptive Memory
Enhancing Semantic Similarity Understanding in Arabic NLP with Nested Embedding Learning
A Polynomial Time Approximation Algorithm for the Two-Commodity Splittable Flow Problem
The Data Science of Hollywood: Using Emotional Arcs of Movies to Drive Business Model Innovation in Entertainment Industries
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation
Parallel Implementation of Distributed Global Optimization (DGO)
URL-BERT: Training Webpage Representations via Social Media Engagements
A Novel Method for Extrinsic Calibration of a 2-D Laser-Rangefinder and a Camera
Service Networks Monitoring for better Quality of Service
Multi-plane denoising diffusion-based dimensionality expansion for 2D-to-3D reconstruction of microstructures with harmonized sampling
Time parallel gravitational collapse simulation
A Generative Model for Deep Convolutional Learning
Primitive operations for the construction and reorganization of minimally persistent formations
On the derivatives of curvature of framed space curve and their time-updating scheme: Extended version with MATLAB code
A Sard theorem for graph theory
An Empirical Evaluation Of Social Influence Metrics
End-to-end Automatic Logic Optimization Exploration via Domain-specific Multi-armed Bandit
StrNim: a variant of Nim played on strings
Large-scale Bilingual Language-Image Contrastive Learning
Budget Feasible Mechanism Design via Random Sampling
Online Collective Animal Movement Activity Recognition
SMI-5: Five Dimensions of Social Media Interaction for Platform (De)Centralization
Synthetic Data Generation and Differential Privacy using Tensor Networks' Matrix Product States (MPS)
Core interface optimization for multi-core neuromorphic processors
Hyper-differential sensitivity analysis with respect to model discrepancy: mathematics and computation
Stochastic Primal-Dual Algorithms with Faster Convergence than O(1/√T) for Problems without Bilinear Structure
Alpha-rooting color image enhancement method by two-side 2-D quaternion discrete Fourier transform followed by spatial transformation
On Transfer Learning For Chatter Detection in Turning Using Wavelet Packet Transform and Empirical Mode Decomposition
A Library for Constraint Consistent Learning
Strong Divergence for System Approximations
On the 4-Adic Complexity of Quaternary Sequences with Ideal Autocorrelation
Auto-context Convolutional Neural Network for Geometry-Independent Brain Extraction in Magnetic Resonance Imaging
A novel statistical metric learning for hyperspectral image classification
Ranking Heterogeneous Search Result Pages using the Interactive Probability Ranking Principle
A Study on the Performance of Generative Pre-trained Transformer (GPT) in Simulating Depressed Individuals on the Standardized Depressive Symptom Scale
Testing LLMs' Capabilities in Annotating Translations Based on an Error Typology Designed for LSP Translation: First Experiments with ChatGPT
Direct Adversarial Training for GANs
Channel Estimation in Massive MIMO under Hardware Non-Linearities: Bayesian Methods versus Deep Learning
Domain-specific Genetic Algorithm for Multi-tenant DNNAccelerator Scheduling
Kernel-based Graph Learning from Smooth Signals: A Functional Viewpoint
Circular tests for HSM machine tools: Bore machining application
Fluctuation Bounds for the Max-Weight Policy, with Applications to State Space Collapse
Universal Approximation Theorem for Neural Networks
Implicit integration factor method coupled with Padé approximation strategy for nonlocal Allen-Cahn equation
A Brief Survey of Current Software Engineering Practices in Continuous Integration and Automated Accessibility Testing
Conscious Intelligent Systems - Part 1 : I X I
Synergizing LLM Agents and Knowledge Graph for Socioeconomic Prediction in LBSN
Planning Against a Prophet: A Graph-Theoretic Framework for Making Sequential Decisions
Exploiting NOMA/OMA for Multi-UAV Communications in Large-Scale Networks
CLIP-based Synergistic Knowledge Transfer for Text-based Person Retrieval
Multiply Robust Causal Mediation Analysis with Continuous Treatments
DualMap: Online Open-Vocabulary Semantic Mapping for Natural Language Navigation in Dynamic Changing Scenes
Neuro-Symbolic Predictive Process Monitoring
Deadline-Chasing in Digital Health: Modeling EMR Adoption Dynamics and Regulatory Impact in Indonesian Primary Care
DeltaSpace: A Semantic-aligned Feature Space for Flexible Text-guided Image Editing
High-Dimensional Differentially-Private EM Algorithm: Methods and Near-Optimal Statistical Guarantees
Stable comparison of multidimensional persistent homology groups with torsion
Machine Beats Machine: Machine Learning Models to Defend Against Adversarial Attacks
Comparative Study of Neighbor-based Methods for Local Outlier Detection
Synthetic Test Data Generation Using Recurrent Neural Networks: A Position Paper
TwHIN-BERT: A Socially-Enriched Pre-trained Language Model for Multilingual Tweet Representations
Constellation Design for Channels Affected by Phase Noise
Wind lulls and slews; consequences for the stability of future UK electricity systems
A Size-Free CLT for Poisson Multinomials and its Applications
Challenges in Deploying Long-Context Transformers: A Theoretical Peak Performance Analysis
Scheduling to Optimize Sojourn Time of Successful Jobs
FSM: A Finite State Machine Based Zero-Shot Prompting Paradigm for Multi-Hop Question Answering
Cancer Networks: A general theoretical and computational framework for understanding cancer
An Offline Partial Evaluator for Evolving Algebras
Subtractive random forests
Robust H-infinity Adaptive Fuzzy Approach for Unknown Nonlinear Networked Systems
Towards Multi-Agent Reasoning Systems for Collaborative Expertise Delegation: An Exploratory Design Study
FUSE: Fast Semi-Supervised Node Embedding Learning via Structural and Label-Aware Optimization
Rethinking Coupled Tensor Analysis for Hyperspectral Super-Resolution: Recoverable Modeling Under Endmember Variability
Advancing Brain Imaging Analysis Step-by-step via Progressive Self-paced Learning
Self-consistency for open-ended generations
KNN and K-means in Gini Prametric Spaces
A generative foundation model for an all-in-one seismic processing framework
Boundary-Guided Policy Optimization for Memory-efficient RL of Diffusion Large Language Models
Kernels, Data & Physics
A method to develop mission critical data processing systems for satellite based instruments. The spinning mode case
Quantitative Entropy Study of Language Complexity
Machine Learning for Material Characterization with an Application for Predicting Mechanical Properties
Unified View of Damage leaves Planimetry & Analysis Using Digital Images Processing Techniques
Modular Landfill Remediation for AI Grid Resilience
Gaussian Mixture Generative Adversarial Networks for Diverse Datasets, and the Unsupervised Clustering of Images
NormKD: Normalized Logits for Knowledge Distillation
Error-Free Multi-Valued Consensus with Byzantine Failures
Building and Aligning Comparable Corpora
Triplet Distillation for Deep Face Recognition
Fault Detection in IEEE 14-Bus Power System with DG Penetration Using Wavelet Transform
Image Seam-Carving by Controlling Positional Distribution of Seams
On Languages Generated by Signed Grammars
Upscaledb: Efficient Integer-Key Compression in a Key-Value Store using SIMD Instructions
Computational complexity of the Weisfeiler-Leman dimension
Keypoint-Guided Optimal Transport
Lower Bounds on the Size of General Branch-and-Bound Trees
Identifying Similar Movie Characters Quickly but Effectively Using Non-exhaustive Pair-wise Attention
Enumerating Vertices of $0/1$-Polyhedra associated with $0/1$-Totally Unimodular Matrices
Efficient Multiclass Implementations of L1-Regularized Maximum Entropy
Stochastic bandits on a social network: Collaborative learning with local information sharing
Controllable Pareto Trade-off between Fairness and Accuracy
Probabilistic Gradient-Based Extrema Tracking
Prediction and Forecast of Short-Term Drought Impacts Using Machine Learning to Support Mitigation and Adaptation Efforts
Awakening Sleeping Beauties from articles on mRNA vaccines against COVID-19
Rethinking Context Aggregation in Natural Image Matting
Optimizing Leader Influence in Networks through Selection of Direct Followers
RGB-D-Based Categorical Object Pose and Shape Estimation: Methods, Datasets, and Evaluation
Phase-Specific Augmented Reality Guidance for Microscopic Cataract Surgery Using Long-Short Spatiotemporal Aggregation Transformer
Fast High-dimensional Approximate Nearest Neighbor Search with Efficient Index Time and Space
Combating Multi-path Interference to Improve Chirp-based Underwater Acoustic Communication
Turbo Learning for Captionbot and Drawingbot
Spatial Fairness: The Case for its Importance, Limitations of Existing Work, and Guidelines for Future Research
Case Study Of GIPSY and MARF
Enjoy the Untrusted Cloud: A Secure, Scalable and Efficient SQL-like Query Framework for Outsourcing Data
Bayesian Fisher's Discriminant for Functional Data
EECD-Net: Energy-Efficient Crack Detection with Spiking Neural Networks and Gated Attention
The Chief Security Officer Problem
Machine Learning Driven Biomarker Selection for Medical Diagnosis
Object category learning and retrieval with weak supervision
COMPAct: Computational Optimization and Automated Modular design of Planetary Actuators
AI- Enhanced Stethoscope in Remote Diagnostics for Cardiopulmonary Diseases
Adaptive Continuous Visual Odometry from RGB-D Images
Understanding the Natural Language of DNA using Encoder-Decoder Foundation Models with Byte-level Precision
An Inference Approach To Question Answering Over Knowledge Graphs
Manifold Alignment Determination: finding correspondences across different data views
Are We Asking the Right Questions? On Ambiguity in Natural Language Queries for Tabular Data Analysis
Fast Multipoint-Evaluation of Bivariate Polynomials
Structured Lattice Codes for Some Two-User Gaussian Networks with Cognition, Coordination and Two Hops
Software Oriented Data Monitoring System
Lensless fiber endomicroscopic phase imaging with speckle-conditioned diffusion model
Prototype Mixture Models for Few-shot Semantic Segmentation
DINOv3
CARLA Real Traffic Scenarios - novel training ground and benchmark for autonomous driving
INRISCO: INcident monitoRing In Smart COmmunities
Predictability, complexity and learning
Manifold Filter-Combine Networks
FlowTransformer: A Transformer Framework for Flow-based Network Intrusion Detection Systems
A posteriori error estimates based on multilevel decompositions with large problems on the coarsest level
Attribute-Guided Encryption with Facial Texture Masking
Saten: Sparse Augmented Tensor Networks for Post-Training Compression of Large Language Models
Reliability-based G1 Continuous Arc Spline Approximation
Interactive Museum Exhibits with Microcontrollers: A Use-Case Scenario
Average Capacity Analysis of Continuous-Time Frequency-Selective Rayleigh Fading Channels with Correlated Scattering Using Majorization
Rubric-Specific Approach to Automated Essay Scoring with Augmentation Training
DF-Captcha: A Deepfake Captcha for Preventing Fake Calls
Extractive Question Answering on Queries in Hindi and Tamil
Scaling Laws Beyond Backpropagation
Second Croatian Computer Vision Workshop (CCVW 2013)
How To Avoid Being Eaten By a Grue: Exploration Strategies for Text-Adventure Agents
Experimental Setup and Software Pipeline to Evaluate Optimization based Autonomous Multi-Robot Search Algorithms
The Impact of Human Factors on the Participation Decision of Reviewers in Modern Code Review
Is Einstein more agreeable and less neurotic than Hitler? A computational exploration of the emotional and personality profiles of historical persons
Hierarchical Reinforcement Learning for Optimal Agent Grouping in Cooperative Systems
Learn to Optimize Resource Allocation under QoS Constraint of AR
A nonlocal physics-informed deep learning framework using the peridynamic differential operator
Neural Networks for Encoding Dynamic Security-Constrained Optimal Power Flow to Mixed-Integer Linear Programs
Density Evolution on a Class of Smeared Random Graphs: A Theoretical Framework for Fast MRI
A Quantum Router for the Entangled Web
Low-level dichotomy for Quantified Constraint Satisfaction Problems
Disaggregated Multi-Tower: Topology-aware Modeling Technique for Efficient Large-Scale Recommendation
Monocular Depth Parameterizing Networks
Non-parametric change-point detection using string matching algorithms
CERL: A Unified Optimization Framework for Light Enhancement with Realistic Noise
Coevolution of Actions and Opinions in Networks of Coordinating and Anti-Coordinating Agents
Parallel Gaussian process surrogate method to accelerate likelihood-free inference
Towards probabilistic Weather Forecasting with Conditioned Spatio-Temporal Normalizing Flows
REVEAL: Multi-turn Evaluation of Image-Input Harms for Vision LLM
LibriBrain: Over 50 Hours of Within-Subject MEG to Improve Speech Decoding Methods at Scale
Words That Make Language Models Perceive
Enhancing Interpretability in Generative AI Through Search-Based Data Influence Analysis
Towards Measuring the Impact of Technical Debt on Lead Time: An Industrial Case Study
Higher order monotonicity and submodularity of influence in social networks: from local to global
Sketching Datasets for Large-Scale Learning (long version)
What and Where: A Context-based Recommendation System for Object Insertion
Leveraging Blockchain and ANFIS for Optimal Supply Chain Management
One Signature, Multiple Payments: Demystifying and Detecting Signature Replay Vulnerabilities in Smart Contracts
LEADS: Lightweight Embedded Assisted Driving System
Fuzzy Model in Human Emotions Recognition
On pairwise comparisons with values in a group: algebraic structures
SFTMix: Elevating Language Model Instruction Tuning with Mixup Recipe
Understanding and Measuring Psychological Stress using Social Media
Revisiting Linformer with a modified self-attention with linear complexity
A Necessary Condition for Byzantine $k$-Set Agreement
A case study of conspiracy theories about Charlie Hebdo terrorist attack
Stop talking to me - a communication-avoiding ADER-DG realisation
Practical colinear chaining on sequences revisited
Alignment Based Matching Networks for One-Shot Classification and Open-Set Recognition
Strong converse exponents for a quantum channel discrimination problem and quantum-feedback-assisted communication
LibriheavyMix: A 20,000-Hour Dataset for Single-Channel Reverberant Multi-Talker Speech Separation, ASR and Speaker Diarization
Generating High-Resolution Regional Precipitation Using Conditional Diffusion Model
How Hard is Computing Parity with Noisy Communications?
CholecInstanceSeg: A Tool Instance Segmentation Dataset for Laparoscopic Surgery
Generative Myocardial Motion Tracking via Latent Space Exploration with Biomechanics-informed Prior
LIX: Implicitly Infusing Spatial Geometric Prior Knowledge into Visual Semantic Segmentation for Autonomous Driving
Developing Artificial Mechanics Intuitions from Extremely Small Data
A Comprehensive Overview of GPU Accelerated Databases
Affective Manifolds: Modeling Machine's Mind to Like, Dislike, Enjoy, Suffer, Worry, Fear, and Feel Like A Human
Integrated multi-operand optical neurons for scalable and hardware-efficient deep learning
Mining Local Process Models
Challenges in Benchmarking Stream Learning Algorithms with Real-world Data
A Framework for Analyzing Abnormal Emergence in Service Ecosystems Through LLM-based Agent Intention Mining
A Note on the Deletion Channel Capacity
A Deconfounding Approach to Climate Model Bias Correction
On the suitability of single-edge notch tension (SENT) testing for assessing hydrogen-assisted cracking susceptibility
Learning Graph Convolutional Network for Skeleton-based Human Action Recognition by Neural Searching
A Comprehensive Framework for Automated Segmentation of Perivascular Spaces in Brain MRI with the nnU-Net
A Novel Cluster Validation Approach on Pso-Pac Mechanism in Ad Hoc Network
Deep Learning for Opinion Mining and Topic Classification of Course Reviews
Tail of Distribution GAN (TailGAN): Generative- Adversarial-Network-Based Boundary Formation
The Landscape of Compute-near-memory and Compute-in-memory: A Research and Commercial Overview
Back to the Future Cyclopean Stereo: a human perception approach unifying deep and geometric constraints
ParaLaw Nets - Cross-lingual Sentence-level Pretraining for Legal Text Processing
Towards the Formal Performance Analysis of Multistate Coherent Systems using HOL Theorem Proving
Automated Scoring System of HER2 in Pathological Images under the Microscope
Actor-Critic based Training Framework for Abstractive Summarization
A Smart Contract based Crowdfunding Mechanism for Hierarchical Federated Learning
The Target Set Selection Problem on Cycle Permutation Graphs, Generalized Petersen Graphs and Torus Cordalis
FairGen: Fair Synthetic Data Generation
A Supermodular Optimization Framework for Leader Selection under Link Noise in Linear Multi-Agent Systems
Rotation Blurring: Use of Artificial Blurring to Reduce Cybersickness in Virtual Reality First Person Shooters
Entropy landscape and non-Gibbs solutions in constraint satisfaction problems
From Sharma-Mittal to von-Neumann Entropy of a Graph
Open-Source AI-based SE Tools: Opportunities and Challenges of Collaborative Software Learning
Floating-Point Numbers with Error Estimates (revised)
Identifying Process Improvement Opportunities through Process Execution Benchmarking
A Synthetic Pseudo-Autoencoder Invites Examination of Tacit Assumptions in Neural Network Design
The risks of mixing dependency lengths from sequences of different length
Evaluating Hybrid Retrieval Augmented Generation using Dynamic Test Sets: LiveRAG Challenge
Simple Mechanistic Explanations for Out-Of-Context Reasoning
Disruption Prediction in Fusion Devices through Feature Extraction and Logistic Regression
Active Bayesian Optimization: Minimizing Minimizer Entropy
Embedding Non-Ground Logic Programs into Autoepistemic Logic for Knowledge Base Combination
Convolutional Entanglement Distillation
Broadband DOA estimation using Convolutional neural networks trained with noise signals
S3CE-Net: Spike-guided Spatiotemporal Semantic Coupling and Expansion Network for Long Sequence Event Re-Identification
EEG-Based Epileptic Seizure Prediction Using Temporal Multi-Channel Transformers
mvlearnR and Shiny App for multiview learning
CoInGP: Convolutional Inpainting with Genetic Programming
A Note on the Convexity of $\log \det ( I + KX^{-1} )$ and its Constrained Optimization Representation
Neural Networks Out-of-Distribution Detection: Hyperparameter-Free Isotropic Maximization Loss, The Principle of Maximum Entropy, Cold Training, and Branched Inferences
Multi-Hop Extensions of Energy-Efficient Wireless Sensor Network Time Synchronization
A remark on conditional entropy
Software Licensing in the Cloud Age
SIU: A Million-Scale Structural Small Molecule-Protein Interaction Dataset for Unbiased Bioactivity Prediction
Class Anchor Clustering: a Distance-based Loss for Training Open Set Classifiers
Coarse-to-Fine Pseudo-Labeling Guided Meta-Learning for Inexactly-Supervised Few-Shot Classification
Convolutional Codes in Rank Metric with Application to Random Network Coding
Human-Robot Co-Transportation with Human Uncertainty-Aware MPC and Pose Optimization
Turath-150K: Image Database of Arab Heritage
Learning an Animatable Detailed 3D Face Model from In-The-Wild Images
Weakly Supervised Visual-Auditory Saliency Detection with Multigranularity Perception
Performance Analysis of Support Vector Machine (SVM) on Challenging Datasets for Forest Fire Detection
Exploring the Human Connectome Topology in Group Studies
Visualizations in Exploratory Search: A User Study with Stock Market Information
Deep Learning for Biomedical Image Reconstruction: A Survey
Unselfish Coded Caching can Yield Unbounded Gains over Symmetrically Selfish Caching