yusuke1997/dblp-id-title huggingface dataset:
An Infrastructure Software Perspective Toward Computation Offloading between Executable Specifications and Foundation Models
Optimization over Nonnegative and Convex Polynomials With and Without Semidefinite Programming
Transfer Representation Learning with TSK Fuzzy System
Programmatic Video Prediction Using Large Language Models
Face-hitting Dominating Sets in Planar Graphs
Error estimation for finite element method on meshes that contain thin elements
Explaining Legal Concepts with Augmented Large Language Models (GPT-4)
A Sequent Calculus for Modelling Interferences
Reverse Engineering Camouflaged Sequential Integrated Circuits Without Scan Access
Verification of Design Decisions in Communication Protocol by Evaluation of Temporal Logic Formulas
Finding Software Vulnerabilities in Open-Source C Projects via Bounded Model Checking
A Robust Low-Complexity MIMO Detector for Rank 4 LTE/LTE-A Systems
Generalised quantum Sanov theorem revisited
Energy Efficient (EECP) Clustered Protocol for Heterogeneous Wireless Sensor Network
Conditional Generative Modeling for Enhanced Credit Risk Management in Supply Chain Finance
A Survey of Digital Privacy Rights Under CISA
A symmetry breaking transition in the edge/triangle network model
Domain-Aware Continual Zero-Shot Learning
3D object classification and retrieval with Spherical CNNs
Distributionally Robust Optimization Efficiently Solves Offline Reinforcement Learning
Quantizing Diffusion Models from a Sampling-Aware Perspective
Improving Semantic Segmentation via Dilated Affinity
Tuning Ranking in Co-occurrence Networks with General Biased Exchange-based Diffusion on Hyper-bag-graphs
Learning Generalized Quasi-Geostrophic Models Using Deep Neural Numerical Models
The 1st Solution for MOSEv1 Challenge on LSVOS 2025: CGFSeg
Detecting Bias and Enhancing Diagnostic Accuracy in Large Language Models for Healthcare
MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching
Actions You Can Handle: Dependent Types for AI Plans
DTOR: Decision Tree Outlier Regressor to explain anomalies
SCAN: Structure Correcting Adversarial Network for Chest X-rays Organ Segmentation
A Simple and Practical Concurrent Non-blocking Unbounded Graph with Reachability Queries
Towards Standard Criteria for human evaluation of Chatbots: A Survey
Fitchean Ignorance and First-order Ignorance: A Neighborhood Look
Information based explanation methods for deep learning agents - with applications on large open-source chess models
Node Connectivity Augmentation of Highly Connected Graphs
A Multi-Step Process for Generating Multi-Platform User Interfaces using UIML
An event-triggered transmission scheduling strategy for remote state estimation in the presence of an eavesdropper
A Universal Block Error Rate Bound for Fluid Antenna Systems
ScaTE: A Scalable Framework for Self-Supervised Traversability Estimation in Unstructured Environments
Improved Learning of One-hidden-layer Convolutional Neural Networks with Overlaps
Towards Leveraging Large Language Models for Automated Medical Q&A Evaluation
Learning to Shape by Grinding: Cutting-surface-aware Model-based Reinforcement Learning
5G NR PRACH Detection with Convolutional Neural Networks (CNN): Overcoming Cell Interference Challenges
The Role of Spreadsheets in Clinical Decision Support: A Survey of the Medical Algorithms Company User Community
The Online Event-Detection Problem
Threshold Phenomena in Learning Halfspaces with Massart Noise
Numerical impulse controllability for parabolic equations by a penalized HUM approach
Multi-Marginal Flow Matching with Adversarially Learnt Interpolants
TPD: Enhancing Student Language Model Reasoning via Principle Discovery and Guidance
A Duality-Based Approach for Distributed Optimization with Coupling Constraints
LITS.jl - An Open-Source Julia based Simulation Toolbox for Low-Inertia Power Systems
Design and Evaluation of a UGV-Based Robotic Platform for Precision Soil Moisture Remote Sensing
A sharp bound for the functional calculus of ρ-contractions
A Novel Deep Reinforcement Learning Method for Computation Offloading in Multi-User Mobile Edge Computing with Decentralization
HingePlace: Harnessing the neural thresholding behavior to optimize Transcranial Electrical Stimulation
Object classification in images of Neoclassical furniture using Deep Learning
Combating Noisy-Labeled and Imbalanced Data by Two Stage Bi-Dimensional Sample Selection
A Multi-task Learning Model for Chinese-oriented Aspect Polarity Classification and Aspect Term Extraction
Frequency Hopping Synchronization by Reinforcement Learning for Satellite Communication System
Fine-Tuning Stable Diffusion XL for Stylistic Icon Generation: A Comparison of Caption Size
Utility Maximization Framework for Opportunistic Wireless Electric Vehicle Charging
Code Generation Tools (Almost) for Free? A Study of Few-Shot, Pre-Trained Language Models on Code
Adversarial Attacks on Node Embeddings
Decentralized Multi-Task Online Convex Optimization Under Random Link Failures
The Vision of Autonomic Computing: Can LLMs Make It a Reality?
Learn with SAT to Minimize Büchi Automata
On the Influence of Twitter Trolls during the 2016 US Presidential Election
Monitoring COVID-19 social distancing with person detection and tracking via fine-tuned YOLO v3 and Deepsort techniques
Methodological Considerations for Self-adaptive Systems: An Essay
Deep Reinforcement Learning: A Convex Optimization Approach
Reevaluating Data Partitioning for Emotion Detection in EmoWOZ
Outage Detection in Power Distribution Networks
An Exploratory Study of Hierarchical Fuzzy Systems Approach in Recommendation System
The Cost of Downgrading Build Systems: A Case Study of Kubernetes
Disentangling Sampling and Labeling Bias for Learning in Large-Output Spaces
A Re-Conceptualization of Online Misinformation Diffusion
Boosting Neural Language Inference via Cascaded Interactive Reasoning
NLTS Hamiltonians from good quantum codes
Using solar and load predictions in battery scheduling at the residential level
Dominating Induced Matchings for P 8 -free Graphs in Polynomial Time
Well-partitioned chordal graphs: obstruction set and disjoint paths
Towards Reliable Medical Question Answering: Techniques and Challenges in Mitigating Hallucinations in Language Models
Initial Decoding with Minimally Augmented Language Model for Improved Lattice Rescoring in Low Resource ASR
RealCQA-V2 : Visual Premise Proving
Leveraging Peer Centrality in the Design of Socially-Informed Peer-to-Peer Systems
Efficient Multi-Modal Embeddings from Structured Data
Optimal Representations for Adaptive Streaming in Interactive Multi-View Video Systems
Self-supervised Audiovisual Representation Learning for Remote Sensing Data
EvoBrain: Dynamic Multi-channel EEG Graph Modeling for Time-evolving Brain Network
A method of combining traffic classification and traffic prediction based on machine learning in wireless networks
Controlling Smart Propagation Environments: Long-Term versus Short-Term Phase Shift Optimization
Generating Music and Generative Art from Brain activity
Retrieval-Augmented Framework for LLM-Based Clinical Decision Support
Information Freshness of Updates Sent over LEO Satellite Multi-Hop Networks
Metadata Extraction Leveraging Large Language Models
iGPSe: A Visual Analytic System for Integrative Genomic Based Cancer Patient Stratification
Mean Square Temporal error estimates for the 2D stochastic Navier-Stokes equations with transport noise
FIGR: Few-shot Image Generation with Reptile
FairJudge: MLLM Judging for Social Attributes and Prompt Image Alignment
A closed-form expression for the Sharma-Mittal entropy of exponential families
Techniques for Inferring Context-Free Lindenmayer Systems With Genetic Algorithm
Cloudy with high chance of DBMS: A 10-year prediction for Enterprise-Grade ML
Dissension or consensus? Management and Business Research in Latin America and the Caribbean
Gromov-Hausdorff distance between chromatic metric pairs and stability of the six-pack
A Survey on Deep Reinforcement Learning-based Approaches for Adaptation and Generalization
Sparse Approximation of 3D Meshes using the Spectral Geometry of the Hamiltonian Operator
A synthetic approach to Markov kernels, conditional independence, and theorems on sufficient statistics
On some cryptographic properties of Boolean functions and their second-order derivatives
Conformalized density- and distance-based anomaly detection in time-series data
New Formulation for Coloring Circle Graphs and its Application to Capacitated Stowage Stack Minimization
A Single Scalable LSTM Model for Short-Term Forecasting of Disaggregated Electricity Loads
AP-LDM: Attentive and Progressive Latent Diffusion Model for Training-Free High-Resolution Image Generation
Towards Privacy-Supporting Fall Detection via Deep Unsupervised RGB2Depth Adaptation
Exploring Hidden Semantics in Neural Networks with Symbolic Regression
Distributing Retractions, Weak Distributive Laws and Applications to Monads of Hyperspaces, Continuous Valuations and Measures
Illusions of Intimacy: Emotional Attachment and Emerging Psychological Risks in Human-AI Relationships
AIforCOVID: predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study
Simulation-Driven Reinforcement Learning in Queuing Network Routing Optimization
Online self-disclosure and wellbeing of adolescents: A systematic literature review
Introducing Multimodal Paradigm for Learning Sleep Staging PSG via General-Purpose Model
LDRFusion: A LiDAR-Dominant multimodal refinement framework for 3D object detection
LTLf Best-Effort Synthesis in Nondeterministic Planning Domains
Telescope: Telemetry at Terabyte Scale
Goal inference with Rao-Blackwellized Particle Filters
Learning with Out-of-Distribution Data for Audio Classification
Climate-Driven Doubling of Maize Loss Probability in U.S. Crop Insurance: Spatiotemporal Prediction and Possible Policy Responses
Productive Development of Scalable Network Functions with NFork
Training Ethically Responsible AI Researchers: a Case Study
Power Spectra of Constrained Codes with Level-Based Signaling: Overcoming Finite-Length Challenges
Quantum Internet: The Future of Internetworking
Time and Space Efficient Algorithms for RNA Folding with the Four-Russians Technique
When Human-Computer Interaction Meets Community Citizen Science
Developing Robust Digital Twins and Reinforcement Learning for Accelerator Control Systems at the Fermilab Booster
Efficient strategies for hierarchical text classification: External knowledge and auxiliary tasks
Agent-Arena: A General Framework for Evaluating Control Algorithms
GroupedMixer: An Entropy Model with Group-wise Token-Mixers for Learned Image Compression
PanoNet: Real-time Panoptic Segmentation through Position-Sensitive Feature Embedding
Multi-Task Multi-Scale Learning For Outcome Prediction in 3D PET Images
A Comprehensive Review of Knowledge Distillation in Computer Vision
A Dependently Typed Multi-Stage Calculus
A Simulation Based Performance Comparison Study of Stability-Based Routing, Power-Aware Routing and Load-Balancing On-Demand Routing Protocols for Mobile Ad hoc Networks
CNN-DST: ensemble deep learning based on Dempster-Shafer theory for vibration-based fault recognition
Attention-Based Capsule Networks with Dynamic Routing for Relation Extraction
A Text Mining Analysis of Data Protection Politics: The Case of Plenary Sessions of the European Parliament
Compound Poisson particle approximation for McKean-Vlasov SDEs
Promotional Language and the Adoption of Innovative Ideas in Science
Network Size Estimation in Small-World Networks under Byzantine Faults
Model adaptation and unsupervised learning with non-stationary batch data under smooth concept drift
ProbMed: A Probabilistic Framework for Medical Multimodal Binding
Efficient Machine-Learning-based decoder for Heavy Hexagonal QECC
Robot Synesthesia: A Sound and Emotion Guided AI Painter
Lag Selection for Univariate Time Series Forecasting using Deep Learning: An Empirical Study
Personalizing Content Moderation on Social Media: User Perspectives on Moderation Choices, Interface Design, and Labor
Flow Network Tracking for Spatiotemporal and Periodic Point Matching: Applied to Cardiac Motion Analysis
Diverse and Tailored Image Generation for Zero-shot Multi-label Classification
Class-aware Domain Knowledge Fusion and Fission for Continual Test-Time Adaptation
Makespan Minimization with OR-Precedence Constraints
PF3plat: Pose-Free Feed-Forward 3D Gaussian Splatting
Analytical Bounds on Maximum-Likelihood Decoded Linear Codes with Applications to Turbo-Like Codes: An Overview
Incremental Mining of Frequent Serial Episodes Considering Multiple Occurrence
Separation and approximate separation of multipartite quantum gates
Hybrid Reinforcement Learning and Search for Flight Trajectory Planning
Scalable knowledge base completion with superposition memories
Credit Card Fraud Detection: A Deep Learning Approach
A framework for digital trace data collection through data donation
μBERT: Mutation Testing using Pre-Trained Language Models
Music Style Transfer Issues: A Position Paper
Convolutional number-theoretic method to optimise integer matrix multiplication
Multi-Graph Transformer for Free-Hand Sketch Recognition
Deep Representation Decomposition for Feature Disentanglement
Genetic Approach to Mitigate Hallucination in Generative IR
Motion-Encoded Particle Swarm Optimization for Moving Target Search Using UAVs
Unicorn: Continual Learning with a Universal, Off-policy Agent
Coverage and Connectivity Aware Neural Network Based Energy Efficient Routing in Wireless Sensor Networks
Gaze on the Prize: Shaping Visual Attention with Return-Guided Contrastive Learning
Discovering Universal Semantic Triggers for Text-to-Image Synthesis
Preventing Catastrophic Forgetting: Behavior-Aware Sampling for Safer Language Model Fine-Tuning
Efficient Deep Learning Models for Privacy-preserving People Counting on Low-resolution Infrared Arrays
rTsfNet: a DNN model with Multi-head 3D Rotation and Time Series Feature Extraction for IMU-based Human Activity Recognition
Can LLMs Extract Frame-Semantic Arguments?
l-Leaks: Membership Inference Attacks with Logits
Lacunaryx: Computing bounded-degree factors of lacunary polynomials
Capacity-Achieving Codes with Bounded Graphical Complexity on Noisy Channels
Hyperspectral Image Restoration via Global Total Variation Regularized Local nonconvex Low-Rank matrix Approximation
Characterizing Seller-Driven Black-Hat Marketplaces
Rethinking Overlooked Aspects in Vision-Language Models
A Multilevel Approach to Stochastic Trace Estimation
Robust and Real-time Deep Tracking Via Multi-Scale Domain Adaptation
Towards a population-informed approach to the definition of data-driven models for structural dynamics
Robust and Efficient Deep Hedging via Linearized Objective Neural Network
Converging Paradigms: The Synergy of Symbolic and Connectionist AI in LLM-Empowered Autonomous Agents
Experimental validation of an explicit flatness-based MPC design for quadcopter position tracking
The Effect of Language Diversity When Fine-Tuning Large Language Models for Translation
ZMP support areas for multi-contact mobility under frictional constraints
Analytical Evaluation of Unfairness Problem in Wireless LANs
Deep Reinforcement Learning for Equal Risk Pricing and Hedging under Dynamic Expectile Risk Measures
AEGIS-Net: Attention-guided Multi-Level Feature Aggregation for Indoor Place Recognition
Loop Summarization with Rational Vector Addition Systems (extended version)
Towards automated formal security analysis of SAML V2.0 Web Browser SSO standard - the POST/Artifact use case
Coordinated Science Laboratory 70th Anniversary Symposium: The Future of Computing
MISR: Measuring Instrumental Self-Reasoning in Frontier Models
A Polynomial Time Algorithm for The Traveling Salesman Problem
Multiple K Means++ Clustering of Satellite Image Using Hadoop MapReduce and Spark
On Privatizing Equilibrium Computation in Aggregate Games over Networks
On the Interplay between Self-Driving Cars and Public Transportation
Large-scale Land Cover Classification in GaoFen-2 Satellite Imagery
An Algorithm for Repairing Low-Quality Video Enhancement Techniques Based on Trained Filter
NetFlow Datasets for Machine Learning-based Network Intrusion Detection Systems
An LLM-LVLM Driven Agent for Iterative and Fine-Grained Image Editing
Persistent, Global Identity for Scientists via ORCID
Integrated Gaussian Processes for Robust and Adaptive Multi-Object Tracking
Local Directional Gradient Pattern: A Local Descriptor for Face Recognition
Diffusion processes through social groups' dynamics
Precision Highway for Ultra Low-Precision Quantization
Extended target tracking utilizing machine-learning software - with applications to animal classification
QC-ODKLA: Quantized and Communication-Censored Online Decentralized Kernel Learning via Linearized ADMM
Generative Models for Generic Light Field Reconstruction
Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge
DeepLL: Considering Linear Logic for the Analysis of Deep Learning Experiments
Assessing Vulnerabilities of Adversarial Learning Algorithm through Poisoning Attacks
Short-term synaptic plasticity optimally models continuous environments
A multiscale Abel kernel and application in viscoelastic problem
Deep Learning-Based Rock Particulate Classification Using Attention-Enhanced ConvNeXt
A deterministic and computable Bernstein-von Mises theorem
Geom-DeepONet: A Point-cloud-based Deep Operator Network for Field Predictions on 3D Parameterized Geometries
Graph Drawing for LLMs: An Empirical Evaluation
Tensor Products and Hyperdimensional Computing
Semantic Segmentation for Sequential Historical Maps by Learning from Only One Map
Evaluation of GPT-3.5 and GPT-4 for supporting real-world information needs in healthcare delivery
NashOpt - A Python Library for Computing Generalized Nash Equilibria
Chaining Meets Chain Rule: Multilevel Entropic Regularization and Training of Neural Nets
Explainable Graph Neural Networks: Understanding Brain Connectivity and Biomarkers in Dementia
Beyond Neural Networks: Symbolic Reasoning over Wavelet Logic Graph Signals
An introduction to geometric complexity theory
A Nonlinear Method for time series forecasting using VMD-GARCH-LSTM model
Improved Training of Mixture-of-Experts Language GANs
Finding Common Ground: Using Large Language Models to Detect Agreement in Multi-Agent Decision Conferences
Breaking It Down: Domain-Aware Semantic Segmentation for Retrieval Augmented Generation
Matching domain experts by training from scratch on domain knowledge
An End-to-End System for Reproducibility Assessment of Source Code Repositories via Their Readmes
Deep Learning with Non-Linear Factor Models: Adaptability and Avoidance of Curse of Dimensionality
A Study of Data Augmentation Techniques to Overcome Data Scarcity in Wound Classification using Deep Learning
Estimating Silent Data Corruption Rates Using a Two-Level Model
Self-Attention Recurrent Network for Saliency Detection
Challenges & Solutions for above 6 GHz Radio Access Network Integration for Future Mobile Communication Systems
Vision-Only Gaussian Splatting for Collaborative Semantic Occupancy Prediction
New Hybrid Heuristics for Pseudo-Boolean Propagation
A-GPS Assisted Wi-Fi Access Point Discovery on Mobile Devices for Energy Saving
PingAn-VCGroup's Solution for ICDAR 2021 Competition on Scientific Literature Parsing Task B: Table Recognition to HTML
VerifyBench: A Systematic Benchmark for Evaluating Reasoning Verifiers Across Domains
Incentives or Ontology? A Structural Rebuttal to OpenAI's Hallucination Thesis
TLGLock: A New Approach in Logic Locking Using Key-Driven Charge Recycling in Threshold Logic Gates
Person Re-identification with Metric Learning using Privileged Information
Second order in time finite element schemes for curve shortening flow and curve diffusion
Performance Evaluation of DCA and SRC on a Single Bot Detection
Bayesian one-mode projection for dynamic bipartite graphs
A Survey on Unlearnable Data
Hierarchical community detection benchmark for heterogeneous inter-community connectivity
Causality-Inspired Robustness for Nonlinear Models via Representation Learning
Deep nested level sets: Fully automated segmentation of cardiac MR images in patients with pulmonary hypertension
Topic Segmentation Model Focusing on Local Context
Eliminating Inductive Bias in Reward Models with Information-Theoretic Guidance
Predicting trends in the quality of state-of-the-art neural networks without access to training or testing data
Towards Widening The Distillation Bottleneck for Reasoning Models
Neural-Symbolic Message Passing with Dynamic Pruning
Discussing Privacy and Surveillance on Twitter: A Case Study of COVID-19
A Cosmic-Scale Benchmark for Symmetry-Preserving Data Processing
Benchmarking quantum computer simulation software packages
Hardware-Efficient Schemes of Quaternion Multiplying Units for 2D Discrete Quaternion Fourier Transform Processors
Towards Arbitrary-View Face Alignment by Recommendation Trees
SETOL: A Semi-Empirical Theory of (Deep) Learning
What do Deep Networks Like to Read?
Applying a random projection algorithm to optimize machine learning model for breast lesion classification
Evolution of Swarm Robotics Systems with Novelty Search
Pipeline Parallelism is All You Need for Optimized Early-Exit Based Self-Speculative Decoding
"Short-length" Adversarial Training Helps LLMs Defend "Long-length" Jailbreak Attacks: Theoretical and Empirical Evidence
Storage and Repair Bandwidth Tradeoff for Distributed Storage Systems with Clusters and Separate Nodes
Learning to Rank Chain-of-Thought: An Energy-Based Approach with Outcome Supervision
Multi-Agent Cross-Translated Diversification for Unsupervised Machine Translation
Analyzing a Caching Model
Toxicity-Aware Few-Shot Prompting for Low-Resource Singlish Translation
Local Law 144: A Critical Analysis of Regression Metrics
MojoFrame: Dataframe Library in Mojo Language
FeClustRE: Hierarchical Clustering and Semantic Tagging of App Features from User Reviews
Interactive Diabetes Risk Prediction Using Explainable Machine Learning: A Dash-Based Approach with SHAP, LIME, and Comorbidity Insights
Echo: A Large Language Model with Temporal Episodic Memory
Towards Arbitrarily Expressive GNNs in O(n 2 ) Space by Rethinking Folklore Weisfeiler-Lehman
A Spiking Neural Network based on Neural Manifold for Augmenting Intracortical Brain-Computer Interface Data
Passive knee flexion increases forward impulse of the trailing leg during the step-to-step transition
RET-LLM: Towards a General Read-Write Memory for Large Language Models
Influence of string register locations on vibratos among violoncellists
Convolutional neural networks for segmentation and object detection of human semen
Epistemic Diversity and Knowledge Collapse in Large Language Models
GraphBolt: Streaming Graph Approximations on Big Data
The Boolean Model in the Shannon Regime: Three Thresholds and Related Asymptotics
DCT Approximations Based on Chen's Factorization
Out-of-Distribution Semantic Occupancy Prediction
RandSolomon: optimally resilient multi-party random number generation protocol
Ask ChatGPT: Caveats and Mitigations for Individual Users of AI Chatbots
Humanoid Robots at work: where are we ?
Faster Person Re-Identification
One-Shot Learning with Triplet Loss for Vegetation Classification Tasks
Teralizer: Semantics-Based Test Generalization from Conventional Unit Tests to Property-Based Tests
Network Utility Maximization: A Rate-Distortion Perspective
Hand Gesture Recognition for Contactless Device Control in Operating Rooms
Unveiling the Capabilities of Large Language Models in Detecting Offensive Language with Annotation Disagreement
Sparse Concept Anchoring for Interpretable and Controllable Neural Representations
Fréchet Distance Revisited and Extended
On Critical Independent Sets of a Graph and Structure of Unicyclic Non-König-Egerváry Graphs
Vision-based Navigation of Autonomous Vehicle in Roadway Environments with Unexpected Hazards
DroidCall: A Dataset for LLM-powered Android Intent Invocation
Efficient and exact sampling of simple graphs with given arbitrary degree sequence
Hybrid methodology for hourly global radiation forecasting in Mediterranean area