yusuke1997/dblp-id-title huggingface dataset:
Correntropy Maximization via ADMM - Application to Robust Hyperspectral Unmixing
Spilling the Beans: Teaching LLMs to Self-Report Their Hidden Objectives
Information-theoretic signatures of causality in Bayesian networks and hypergraphs
Servo-Controllers with Operational Constraints
Cross-platform Prediction of Depression Treatment Outcome Using Location Sensory Data on Smartphones
The Iterative Chainlet Partitioning Algorithm for the Traveling Salesman Problem with Drone and Neural Acceleration
Zero-delay Consistent Signal Reconstruction from Streamed Multivariate Time Series
Accelerating XOR-based Erasure Coding using Program Optimization Techniques
TopoSizing: An LLM-aided Framework of Topology-based Understanding and Sizing for AMS Circuits
Numerical Instability of Algebraic Rootfinding Methods
Rethinking Intersection Over Union for Small Object Detection in Few-Shot Regime
ML-based Fault Injection for Autonomous Vehicles: A Case for Bayesian Fault Injection
Watchword-Oriented and Time-Stamped Algorithms for Tamper-Proof Cloud Provenance Cognition
DenoGrad: Deep Gradient Denoising Framework for Enhancing the Performance of Interpretable AI Models
Organizing a Society of Language Models: Structures and Mechanisms for Enhanced Collective Intelligence
Evaluating Alternative Training Interventions Using Personalized Computational Models of Learning
Multiplex Network Regression: How do relations drive interactions?
FedVLMBench: Benchmarking Federated Fine-Tuning of Vision-Language Models
Semantic-aware Message Broadcasting for Efficient Unsupervised Domain Adaptation
Confounding is a Pervasive Problem in Real World Recommender Systems
Steerable Conditional Diffusion for Domain Adaptation in PET Image Reconstruction
Deep Learning Training Procedure Augmentations
Visual Landmark Recognition from Internet Photo Collections: A Large-Scale Evaluation
Twin-width of subdivisions of multigraphs
Advances in Radiance Field for Dynamic Scene: From Neural Field to Gaussian Field
Transforming Autoregression: Interpretable and Expressive Time Series Forecast
Compressive Spectrum Sensing for Cognitive Radio Networks
Day-Ahead Hourly Forecasting of Power Generation from Photovoltaic Plants
Point cloud completion on structured feature map with feedback network
Covering up bias in CelebA-like datasets with Markov blankets: A post-hoc cure for attribute prior avoidance
Lipschitz-Driven Inference: Bias-corrected Confidence Intervals for Spatial Linear Models
Identity testing for radical expressions
Chinese Discourse Annotation Reference Manual
iMAD: Intelligent Multi-Agent Debate for Efficient and Accurate LLM Inference
Numerical solutions to an inverse problem for a non-linear Helmholtz equation
A Digital Hardware Fast Algorithm and FPGA-based Prototype for a Novel 16-point Approximate DCT for Image Compression Applications
Hashing in the Zero Shot Framework via Domain Adaptation
PersoBench: Benchmarking Personalized Response Generation in Large Language Models
TR-Gaussians: High-fidelity Real-time Rendering of Planar Transmission and Reflection with 3D Gaussian Splatting
HalluShift++: Bridging Language and Vision through Internal Representation Shifts for Hierarchical Hallucinations in MLLMs
MultiRC: Joint Learning for Time Series Anomaly Prediction and Detection with Multi-scale Reconstructive Contrast
Multi-antenna Wireless Powered Communication with Co-channel Energy and Information Transfer
Fooling Computer Vision into Inferring the Wrong Body Mass Index
Building resilient organizations: The roles of top-down vs. bottom-up organizing
Learning Time in Static Classifiers
HADES: Hardware Accelerated Decoding for Efficient Speculation in Large Language Models
Assessing One-Dimensional Cluster Stability by Extreme-Point Trimming
Data-Efficient Challenges in Visual Inductive Priors: A Retrospective
Graphs with unique zero forcing sets and Grundy dominating sets
Simultaneous Feature Aggregating and Hashing for Large-scale Image Search
On robustly asymmetric graphs
Proper Implicit Discretization of the Super-Twisting Controller - without and with Actuator Saturation
Online Observability of Boolean Control Networks
Belief Space Control of Safety-Critical Systems Under State-Dependent Measurement Noise
How Robust are Linear Sketches to Adaptive Inputs?
Development and Validation of a Deep Learning Model for Prediction of Severe Outcomes in Suspected COVID-19 Infection
Content-based 3D Image Retrieval and a ColBERT-inspired Re-ranking for Tumor Flagging and Staging
Information and the arrow of time
GaussianPlant: Structure-aligned Gaussian Splatting for 3D Reconstruction of Plants
PageRank of integers
3D Based Landmark Tracker Using Superpixels Based Segmentation for Neuroscience and Biomechanics Studies
Predicting intelligence based on cortical WM/GM contrast, cortical thickness and volumetry
Learning clusters of partially observed linear dynamical systems
Softmax-free Linear Transformers
Cat-AIR: Content and Task-Aware All-in-One Image Restoration
SAM2Point: Segment Any 3D as Videos in Zero-shot and Promptable Manners
Detecting Compliance of Privacy Policies with Data Protection Laws
Energy Prediction using Federated Learning
IMAP: Intrinsically Motivated Adversarial Policy
Computer Aided Detection and Classification of mammograms using Convolutional Neural Network
Communication-Efficient Separable Neural Network for Distributed Inference on Edge Devices
Enhancing Interpretability of Vertebrae Fracture Grading using Human-interpretable Prototypes
RetroMAE v2: Duplex Masked Auto-Encoder For Pre-Training Retrieval-Oriented Language Models
Fast and robust method for screened Poisson lattice Green's function using asymptotic expansion and Fast Fourier Transform
An Exploratory Study of AI System Risk Assessment from the Lens of Data Distribution and Uncertainty
Waterfilling Theorems in the Time-Frequency Plane for the Heat Channel and a Related Source
Finding manoeuvre motifs in vehicle telematics
Active Sensing for Multiuser Beam Tracking with Reconfigurable Intelligent Surface
Continuous-Time Homeostatic Dynamics for Reentrant Inference Models
De-END: Decoder-driven Watermarking Network
ParamNet: A Parameter-variable Network for Fast Stain Normalization
Can laypeople predict the replicability of social science studies without expert intervention: an exploratory study
Optimally Reliable & Cheap Payment Flows on the Lightning Network
Aura-CAPTCHA: A Reinforcement Learning and GAN-Enhanced Multi-Modal CAPTCHA System
Contraction Criteria for Existence, Stability, and Robustness of a Limit Cycle
Distributional Semantics, Holism, and the Instability of Meaning
Creating Realistic Anterior Segment Optical Coherence Tomography Images using Generative Adversarial Networks
NEW: A Generic Learning Model for Tie Strength Prediction in Networks
LFS-Aware Surface Reconstruction from Unoriented 3D Point Clouds
On pitfalls (and advantages) of sophisticated large language models
Facial Affect Recognition in the Wild Using Multi-Task Learning Convolutional Network
Formation of homophily in academic performance: students prefer to change their friends rather than performance
An Ehrenfeucht-Fraisse Game Approach to Collapse Results in Database Theory
An Interactive Dashboard for Real-Time Analytics and Monitoring of COVID-19 Outbreak in India: A proof of Concept
An Application-oriented Model for Wireless Sensor Networks integrated with Telecom Infra
Toward Cybersecurity Testing and Monitoring of IoT Ecosystems
Transformer-based EEG Decoding: A Survey
Resolving Knowledge Conflicts in Large Language Models
Diffeomorphic Counterfactuals with Generative Models
Empirical non-parametric estimation of the Fisher Information
AgentRec: Next-Generation LLM-Powered Multi-Agent Collaborative Recommendation with Adaptive Intelligence
Revealing Vulnerabilities of Neural Networks in Parameter Learning and Defense Against Explanation-Aware Backdoors
Adversarial Machine Learning for 5G Communications Security
Bibliographic Analysis of the Capacity and Applicability of Li-Fi Networks
Gamify Employee Collaboration - A Critical Review of Gamification Elements in Social Software
Evolving Boolean Functions with Conjunctions and Disjunctions via Genetic Programming
Tagged for Direction: Pinning Down Causal Edge Directions with Precision
ARO: Large Language Model Supervised Robotics Text2Skill Autonomous Learning
Understanding the Role of Cross-Entropy Loss in Fairly Evaluating Large Language Model-based Recommendation
Bad practices in evaluation methodology relevant to class-imbalanced problems
TensorFlow with user friendly Graphical Framework for object detection API
Users Perceptions about Teleconferencing Applications Collected through Twitter
Biospectrogram: a tool for spectral analysis of biological sequences
Interpretable Medical Image Classification using Prototype Learning and Privileged Information
Aequitas Flow: Streamlining Fair ML Experimentation
Auto-scaling Approaches for Cloud-native Applications: A Survey and Taxonomy
Closed-Form and Asymptotic BER Analysis of the Fluctuating Double-Rayleigh with Line-of-Sight Fading Channel
Implicit Design Choices and Their Impact on Emotion Recognition Model Development and Evaluation
Neural paraphrasing by automatically crawled and aligned sentence pairs
Sentiment Classification using N-gram IDF and Automated Machine Learning
Traffic Signal Optimization on a Square Lattice using the D-Wave Quantum Annealer
Neural Network Approximation of Graph Fourier Transforms for Sparse Sampling of Networked Flow Dynamics
On Maximizing Egalitarian Value in K-coalitional Hedonic Games
The Tyranny of Possibilities in the Design of Task-Oriented LLM Systems: A Scoping Survey
Large Galois groups with applications to Zariski density
A Learning-Based Ansatz Satisfying Boundary Conditions in Variational Problems
Distributed On-Device LLM Inference With Over-the-Air Computation
D-Module Techniques for Solving Differential Equations in the Context of Feynman Integrals
AI Assistants for Incident Lifecycle in a Microservice Environment: A Systematic Literature Review
An approach towards debiasing user ratings
Objective Evaluation of Prosody and Intelligibility in Speech Synthesis via Conditional Prediction of Discrete Tokens
Embedded Mean Field Reinforcement Learning for Perimeter-defense Game
An FPGA-based Parallel Architecture for Face Detection using Mixed Color Models
Predictions and algorithmic statistics for infinite sequence
People's Perceptions Toward Bias and Related Concepts in Large Language Models: A Systematic Review
Transfer Learning of RSSI to Improve Indoor Localisation Performance
Finite element solution of a radiation/propagation problem for a Helmholtz equation with a compactly supported nonlinearity
Evaluating and Predicting Distorted Human Body Parts for Generated Images
Grounded AI for Code Review: Resource-Efficient Large-Model Serving in Enterprise Pipelines
Learning to Play Soccer From Scratch: Sample-Efficient Emergent Coordination through Curriculum-Learning and Competition
A general method for regularizing tensor decomposition methods via pseudo-data
In-Context Learning with Reinforcement Learning for Incomplete Utterance Rewriting
What Neuroscience Can Teach AI About Learning in Continuously Changing Environments
Safe by Design Autonomous Driving Systems
Bring out your codes! Bring out your codes! (Increasing Software Visibility and Re-use)
Do they agree? Bibliometric evaluation vs informed peer review in the Italian research assessment exercise
There is no SAMantics! Exploring SAM as a Backbone for Visual Understanding Tasks
Recent Advances on the Graph Isomorphism Problem
Syntactic Complexity of Star-Free Languages
Polarized Element-pair Code Based FFMA over a Gaussian Multiple-access Channel
Would you let a humanoid play storytelling with your child? A usability study on LLM-powered narrative Human-Robot Interaction
Positive emotions help rank negative reviews in e-commerce
Automated Design of Heuristics for the Container Relocation Problem
Exploring the ethical sensitivity of Ph.D. students in robotics
Total Recursion over Lexicographical Orderings: Elementary Recursive Operators Beyond PR
F^2-Softmax: Diversifying Neural Text Generation via Frequency Factorized Softmax
k-planar Placement and Packing of Δ-regular Caterpillars
Dimensionality of social networks using motifs and eigenvalues
Goal-Oriented Multi-Agent Reinforcement Learning for Decentralized Agent Teams
An Efficient Probe-based Routing for Content-Centric Networking
A Comprehensive Analytical Survey on Unsupervised and Semi-Supervised Graph Representation Learning Methods
Synthesising clinically realistic Chest X-rays using Generative Adversarial Networks
BetheSF: Efficient computation of the exact tagged particle propagator in single file systems via the Bethe eigenspectrum
Reliable Noninvasive Glucose Sensing via CNN-Based Spectroscopy
An Adaptive CMSA for Solving the Longest Filled Common Subsequence Problem with an Application in Audio Querying
Partially Strategyproof Mechanisms for the Assignment Problem
Enhanced Quantum Synchronization via Quantum Machine Learning
Heterogeneous Calibration: A post-hoc model-agnostic framework for improved generalization
FACTIFY3M: A Benchmark for Multimodal Fact Verification with Explainability through 5W Question-Answering
Fourier Disentangled Space-Time Attention for Aerial Video Recognition
VLMGuard-R1: Proactive Safety Alignment for VLMs via Reasoning-Driven Prompt Optimization
DynaNav: Dynamic Feature and Layer Selection for Efficient Visual Navigation
Real-Time Grasping Strategies Using Event Camera
PATCHEVAL: A New Benchmark for Evaluating LLMs on Patching Real-World Vulnerabilities
Γ-VAE: Curvature regularized variational autoencoders for uncovering emergent low dimensional geometric structure in high dimensional data
Safe and complete contig assembly via omnitigs
Approximate Bregman near neighbors in sublinear time: Beyond the triangle inequality
Edge separators for graphs excluding a minor
A Novel Skeleton-Based Human Activity Discovery Technique Using Particle Swarm Optimization with Gaussian Mutation
Iterative Training: Finding Binary Weight Deep Neural Networks with Layer Binarization
Towards Synthesizing Normative Data for Cognitive Assessments Using Generative Multimodal Large Language Models
Higher power polyadic group rings
DNNShield: Embedding Identifiers for Deep Neural Network Ownership Verification
Dual-Path Temporal Map Optimization for Make-up Temporal Video Grounding
A clusterability test for directed graphs
Energy Management for Autonomous Underwater Vehicles Using Economic Model Predictive Control
Adapt Anything: Tailor Any Image Classifiers across Domains And Categories Using Text-to-Image Diffusion Models
Bootstrapping under constraint for the assessment of group behavior in human contact networks
Driving with InternVL: Oustanding Champion in the Track on Driving with Language of the Autonomous Grand Challenge at CVPR 2024
Data Augmentation for Detection of Architectural Distortion in Digital Mammography using Deep Learning Approach
Scene Transformer: A unified multi-task model for behavior prediction and planning
Response Estimation and System Identification of Dynamical Systems via Physics-Informed Neural Networks
Review of Demographic Bias in Face Recognition
Two-stage data-analysis method for total-reflection high-energy positron diffraction (TRHEPD)
Call Admission Control Algorithm for pre-stored VBR video streams
A locally statistical active contour model for SAR image segmentation can be solved by denoising algorithms
The Learning Prescription, A Neural Network Hearing Aid Core
Geometric Neural Distance Fields for Learning Human Motion Priors
Understanding Idea Creation in Collaborative Discourse through Networks: The Joint Attention-Interaction-Creation (AIC) Framework
LLDiffusion: Learning Degradation Representations in Diffusion Models for Low-Light Image Enhancement
DAMM: Directionality-Aware Mixture Model Parallel Sampling for Efficient Dynamical System Learning
Improving Pattern Recognition of Scheduling Anomalies through Structure-Aware and Semantically-Enhanced Graphs
Provably learning a multi-head attention layer
Improved Physics-Driven Neural Network to Solve Inverse Scattering Problems
Towards a Trustworthy Anomaly Detection for Critical Applications through Approximated Partial AUC Loss
Personalized Highway Pilot Assist Considering Leading Vehicle's Lateral Behaviours
Delay Analysis for Wireless D2D Caching with Inter-cluster Cooperation
Sliced-Wasserstein Distances and Flows on Cartan-Hadamard Manifolds
Competition and Commons: The Post-Telecom Act Public Interest, in and after the AOLTW Merger
Tag-based Semantic Features for Scene Image Classification
Fault Diagnosis of 3D-Printed Scaled Wind Turbine Blades
QTFlow: Quantitative Timing-Sensitive Information Flow for Security-Aware Hardware Design on RTL
A New Fuzzy MCDM Framework to Evaluate E-Government Security Strategy
EGGs are adhesive!
Fast Prediction with SVM Models Containing RBF Kernels
Secure Partial Repair in Wireless Caching Networks with Broadcast Channels
Calibrating for Class Weights by Modeling Machine Learning
Clustered Language Models with Context-Equivalent States
Temporal Graph Network Embedding with Causal Anonymous Walks Representations
Inconsistency Measures for Relational Databases
Pedestrian Trajectory Prediction with Convolutional Neural Networks
Design and Evaluation of Smart-Contract-based System Operations for Permissioned Blockchain-based Systems
BDCI: Behavioral Driven Conflict Identification
Decision-Making Algorithms for Learning and Adaptation with Application to COVID-19 Data
Monocular Depth Estimation with Self-supervised Instance Adaptation
Recorder: Comprehensive Parallel I/O Tracing and Analysis
Deterministic Frequency-Domain Inference of Network Topology and Hidden Components via Structure-Behavior Scaling
Computational thematics: Comparing algorithms for clustering the genres of literary fiction
A Resilient ICT4D Approach to ECO Countries' Education Response during COVID-19 Pandemic
Tracking System Behaviour from Resource Usage Data
Gradient tree boosting with random output projections for multi-label classification and multi-output regression
Multi-channel Hybrid Access Femtocells: A Stochastic Geometric Analysis
Bayesian Optimization Augmented with Actively Elicited Expert Knowledge
Learning the Distribution: A Unified Distillation Paradigm for Fast Uncertainty Estimation in Computer Vision
High-Fidelity Solar Power Income Modeling for Solar-Electric UAVs: Development and Flight Test Based Verification
Monocular 3D Object Detection and Box Fitting Trained End-to-End Using Intersection-over-Union Loss
Dynamic Analysis of Corporate ESG Reports: A Model of Evolutionary Trends
High-Dimensional Stochastic Optimal Control using Continuous Tensor Decompositions
Navigating the Post-API Dilemma Search Engine Results Pages Present a Biased View of Social Media Data
Interpretable classifiers using rules and Bayesian analysis: Building a better stroke prediction model
Efficient Topological Layer based on Persistent Landscapes
Iterative Best Response for Multi-Body Asset-Guarding Games
Critic Algorithms using Cooperative Networks
SKGE: Spherical Knowledge Graph Embedding with Geometric Regularization
Approximating Heavy-Tailed Distributions with a Mixture of Bernstein Phase-Type and Hyperexponential Models
Exploring Challenges of Deploying BERT-based NLP Models in Resource-Constrained Embedded Devices
Compressibility measures for two-dimensional data
Multi-criteria Token Fusion with One-step-ahead Attention for Efficient Vision Transformers
Text-Derived Relational Graph-Enhanced Network for Skeleton-Based Action Segmentation
New quantum mds constacylıc codes
Sinusoidal Sensitivity Calculation for Line Segment Geometries
Efficient Reinforcement Learning for Jumping Monopods
Towards Single-System Illusion in Software-Defined Vehicles - Automated, AI-Powered Workflow
Supervise Thyself: Examining Self-Supervised Representations in Interactive Environments
MultiSum: A Dataset for Multimodal Summarization and Thumbnail Generation of Videos
BELLA: Black box model Explanations by Local Linear Approximations
Efficient Calibration for Decision Making
Studying Various Activation Functions and Non-IID Data for Machine Learning Model Robustness
Multi-objective generative AI for designing novel brain-targeting small molecules
A new algorithm for Solving 3-CNF-SAT problem
Understanding Private Learning From Feature Perspective
Robust Palm-Vein Recognition Using the MMD Filter: Improving SIFT-Based Feature Matching
Signal Knowledge Graph
(Ab)using Images and Sounds for Indirect Instruction Injection in Multi-Modal LLMs
Sequential Checking: Reallocation-Free Data-Distribution Algorithm for Scale-out Storage
Discontinuous Galerkin methods for a dispersive wave hydro-sediment-morphodynamic model
On the Escaping Efficiency of Distributed Adversarial Training Algorithms
Modeling localized failure in geomaterials by large-deformation-plasticity periporomechanics
Properties of Translation Operator and the Solution of the Eigenvalue and Boundary Value Problems of Arbitrary Space-time Periodic Circuits
Reliable amortized variational inference with physics-based latent distribution correction
An Integrated, Phase-Controlled Power Divider for Metasurface Array Antennas
Deep Oscillatory Neural Network
A Dynamic I/O Model for TRACON Traffic Management
Joint Channel-Network Coding Strategies for Networks with Low Complexity Relays
An ab initio foundation model of wavefunctions that accurately describes chemical bond breaking
Entropic regularization of Wasserstein distance between infinite-dimensional Gaussian measures and Gaussian processes
Node-level Contrastive Unlearning on Graph Neural Networks
Quantifying Cross-Attention Interaction in Transformers for Interpreting TCR-pMHC Binding
Accelerate & Actualize: Can 2D Materials Bridge the Gap Between Neuromorphic Hardware and the Human Brain?
Mining Software Repair Models for Reasoning on the Search Space of Automated Program Fixing
Learning to Think: Information-Theoretic Reinforcement Fine-Tuning for LLMs
Dynamic Multi-Hop HARQ Scheme to Maximize E2E Reliability in the Finite Blocklength Regime
Beyond transparency: computational reliabilism as an externalist epistemology of algorithms
Experimental Performances Analysis of Load Balancing Algorithms in IEEE 802.11
MultiSiam: A Multiple Input Siamese Network For Social Media Text Classification And Duplicate Text Detection
Strategies for Robust Deep Learning Based Deformable Registration
Classification of Prostate Cancer in 3D Magnetic Resonance Imaging Data based on Convolutional Neural Networks
Generating Adversarial Point Clouds Using Diffusion Model
Calculate the carbon footprint of your IT assets with EcoDiag, an EcoInfo service
SE 2 (3) based Extended Kalman Filter for Inertial-Integrated Navigation
Diversity with Cooperation: Ensemble Methods for Few-Shot Classification
Physics-Guided Radiotherapy Treatment Planning with Deep Learning
fastHan: A BERT-based Joint Many-Task Toolkit for Chinese NLP
Combinatorial method of polynomial expansion of symmetric Boolean functions
Robust face recognition based on the wing loss and the ℓ 1 regularization
Buried object detection from B-scan ground penetrating radar data using Faster-RCNN
Adaptive Label Smoothing
WebThinker: Empowering Large Reasoning Models with Deep Research Capability
Privacy-enhancing Sclera Segmentation Benchmarking Competition: SSBC 2025
Analytic and Variational Stability of Deep Learning Systems
Gathering with extremely restricted visibility
How to train your solver: A method of manufactured solutions for weakly-compressible SPH
Neither Quick Nor Proper - Evaluation of QuickProp for Learning Deep Neural Networks
Team Plan Recognition: A Review of the State of the Art
Non-local Attention Optimized Deep Image Compression
Meta-Learning with Differentiable Convex Optimization
Characterization and Detection of epsilon-Berge Zhukovskii Equilibria
DRAformer: Differentially Reconstructed Attention Transformer for Time-Series Forecasting
Energy Structure of Optimal Positional Strategies in Mean Payoff Games
In-class Data Analysis Replications: Teaching Students while Testing Science
BRC-20: Hope or Hype