yusuke1997/dblp-id-title huggingface dataset:
Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval, Matrix Completion and Blind Deconvolution
Resiliency with Aggregate Computing: State of the Art and Roadmap
Upper and Lower Bounds on Bit-Error Rate for Convolutional Codes
Resilient Cloud cluster with DevSecOps security model, automates a data analysis, vulnerability search and risk calculation
Efficient reduction of Kappa models by static inspection of the rule-set
Understanding and Improving Knowledge Distillation
A Two-Level Block Preconditioned Jacobi-Davidson Method for Computing Multiple and Clustered Eigenvalues
RAGulator: Lightweight Out-of-Context Detectors for Grounded Text Generation
Privacy-Preserving 3-Layer Neural Network Training using Mere Homomorphic Encryption Technique
A First Full Physics Benchmark for Highly Granular Calorimeter Surrogates
An Exploration of State-of-the-art Methods for Offensive Language Detection
The Complexity of Holant Problems over Boolean Domain with Non-negative Weights
Uniform Linked Lists Contraction
Active Cell Balancing for Extended Operational Time of Lithium-Ion Battery Systems in Energy Storage Applications
Performance Comparison of Quasi-Delay-Insensitive Asynchronous Adders
Formalization of physics index notation in Lean 4
Near-optimal Keypoint Sampling for Fast Pathological Lung Segmentation
Hierarchical Single-Linkage Clustering for Community Detection with Overlaps and Outliers
Neuronal Fluctuations: Learning Rates vs Participating Neurons
DP-MDM: Detail-Preserving MR Reconstruction via Multiple Diffusion Models
HYPER^2: Hyperbolic Poincare Embedding for Hyper-Relational Link Prediction
Deterministic Inference across Tensor Parallel Sizes That Eliminates Training-Inference Mismatch
Hierarchical Reinforcement Learning for Modeling User Novelty-Seeking Intent in Recommender Systems
Emission-GPT: A domain-specific language model agent for knowledge retrieval, emission inventory and data analysis
PhysGraph: Physics-Based Integration Using Graph Neural Networks
Improved Phylogeny Comparisons: Non-Shared Edges Nearest Neighbor Interchanges, and Subtree Transfers
Memory-Augmented State Machine Prompting: A Novel LLM Agent Framework for Real-Time Strategy Games
Slow manifolds in recurrent networks encode working memory efficiently and robustly
Modularity of very dense graphs
Two-Stage Fine-Tuning: A Novel Strategy for Learning Class-Imbalanced Data
Real-Time Tracking Antenna System for Moving Targets
Time-Optimal Planning for Quadrotor Waypoint Flight
Function-based Labels for Complementary Recommendation: Definition, Annotation, and LLM-as-a-Judge
Unwarping Screen Content Images via Structure-texture Enhancement Network and Transformation Self-estimation
Beyond Blur: A Fluid Perspective on Generative Diffusion Models
Throughput-Outage Analysis and Evaluation of Cache-Aided D2D Networks with Measured Popularity Distributions
Pisces: An Auto-regressive Foundation Model for Image Understanding and Generation
High-performance K-means Implementation based on a Coarse-grained Map-Reduce Architecture
Hidden in Plain Sight: Exploring the Intersections of Mental Health, Eating Disorders, and Content Moderation on TikTok
Advancing Limited-Angle CT Reconstruction Through Diffusion-Based Sinogram Completion
Distilled HuBERT for Mobile Speech Emotion Recognition: A Cross-Corpus Validation Study
Towards Open-world Cross-Domain Sequential Recommendation: A Model-Agnostic Contrastive Denoising Approach
Clique number of tournaments
So-Fake: Benchmarking and Explaining Social Media Image Forgery Detection
EDU-NER-2025: Named Entity Recognition in Urdu Educational Texts using XLM-RoBERTa with X (formerly Twitter)
Advancing Bayesian Optimization: The Mixed-Global-Local (MGL) Kernel and Length-Scale Cool Down
MC for Gastroretentive Drug Delivery
From Time and Place to Preference: LLM-Driven Geo-Temporal Context in Recommendations
An Egocentric Vision-Language Model based Portable Real-time Smart Assistant
A horizontally-scalable multiprocessing platform based on Node.js
Asymptotic results for linear combinations of spacings generated by i.i.d. exponential random variables
Hidden Tree Markov Networks: Deep and Wide Learning for Structured Data
Efficient multiscale algorithms for simulating nonlocal optical response of metallic nanostructure arrays
On the Approximation of Functionals of Very Large Hermitian Matrices represented as Matrix Product Operators
Efficient algorithms for computing the Euler-Poincaré characteristic of symmetric semi-algebraic sets
Beyond Turn-taking: Introducing Text-based Overlap into Human-LLM Interactions
Two bases suffice for QMA1-completeness
Nonlinear Inductive Matrix Completion based on One-layer Neural Networks
EpilepsyLLM: Domain-Specific Large Language Model Fine-tuned with Epilepsy Medical Knowledge
Rethinking Review Citations: Impact on Scientific Integrity
DeMoBot: Deformable Mobile Manipulation with Vision-based Sub-goal Retrieval
Image Score: How to Select Useful Samples
VLBiMan: Vision-Language Anchored One-Shot Demonstration Enables Generalizable Bimanual Robotic Manipulation
Unsupervised Detection of Behavioural Drifts with Dynamic Clustering and Trajectory Analysis
Fast real and complex root-finding methods for well-conditioned polynomials
Exploit the antenna response consistency to define the alignment criteria for CSI data
Clustered Policy Decision Ranking
A Systematic Survey of Attack Detection and Prevention in Connected and Autonomous Vehicles
Branching Dynamics of Viral Information Spreading
CTTS: Collective Test-Time Scaling
Voltage Temperature Monitoring System (VTMS) for a BTS Room
Detecting DBMS Bugs with Context-Sensitive Instantiation and Multi-Plan Execution
Constrained Performance Boosting Control for Nonlinear Systems via ADMM
Learning the Influence Graph of a Markov Process that Randomly Resets to Past
A Lightweight Neural Network for Monocular View Generation with Occlusion Handling
Formula Transformers and Combinatorial Test Generators for Propositional Intuitionistic Theorem Provers
Quantum Algorithms for Graph Connectivity and Formula Evaluation
Information-Theoretic Abstractions for Resource-Constrained Agents via Mixed-Integer Linear Programming
Quasi-Static Analysis on Transoral Surgical Tendon-Driven Articulated Robot Units
SuperCoder: Program Learning Under Noisy Conditions From Superposition of States
Multi-modal Entity Alignment in Hyperbolic Space
Recommender System for News Articles using Supervised Learning
Hyperedge Estimation using Polylogarithmic Subset Queries
Representation of Inorganic Synthesis Reactions and Prediction: Graphical Framework and Datasets
CMT-Benchmark: A Benchmark for Condensed Matter Theory Built by Expert Researchers
Identifying Subgroups of ICU Patients Using End-to-End Multivariate Time-Series Clustering Algorithm Based on Real-World Vital Signs Data
Boosting Open-Source LLMs for Program Repair via Reasoning Transfer and LLM-Guided Reinforcement Learning
Binary Proportional Pairing Functions
Modal Logics with Hard Diamond-free Fragments
Reward-Weighted Sampling: Enhancing Non-Autoregressive Characteristics in Masked Diffusion LLMs
Transforming Teachers' Roles and Agencies in the Era of Generative AI: Perceptions, Acceptance, Knowledge, and Practices
A Gauss Laguerre approach for the resolvent of fractional powers
Simple and Almost Assumption-Free Out-of-Sample Bound for Random Feature Mapping
An NL-Complete Puzzle
ObjectAlign: Neuro-Symbolic Object Consistency Verification and Correction
Reply & Supply: Efficient crowdsourced exploration for growing question sets and nets
On Searching Zimin Patterns
Course Material Selection Rubric for Creating Network Security Courses
Gated X-TFC: Soft Domain Decomposition for Forward and Inverse Problems in Sharp-Gradient PDEs
Current Methods for Drug Property Prediction in the Real World
Enhancing Visual Grounding for GUI Agents via Self-Evolutionary Reinforcement Learning
The Femininomenon of Inequality: A Data-Driven Analysis and Cluster Profiling in Indonesia
Probing a Vision-Language-Action Model for Symbolic States and Integration into a Cognitive Architecture
Plan2Align: Predictive Planning Based Test-Time Preference Alignment in Paragraph-Level Machine Translation
Distributed Localization in Dynamic Networks via Complex Laplacian
Research about the Ability of LLM in the Tamper-Detection Area
Physical partisan proximity outweighs online ties in predicting US voting outcomes
Image Subset Selection Using Gabor Filters and Neural Networks
MARC: Multipolicy and Risk-aware Contingency Planning for Autonomous Driving
Sample Efficient Semantic Segmentation using Rotation Equivariant Convolutional Networks
On the Privacy of the Opal Data Release: A Response
A pressure-robust HHO method for the solution of the incompressible Navier-Stokes equations on general meshes
E-BayesSAM: Efficient Bayesian Adaptation of SAM with Self-Optimizing KAN-Based Interpretation for Uncertainty-Aware Ultrasonic Segmentation
INT2.1: Towards Fine-Tunable Quantized Large Language Models with Error Correction through Low-Rank Adaptation
Local Gradients Smoothing: Defense against localized adversarial attacks
Nonlinear Framework for Speech Bandwidth Extension
A Decision-Optimization Approach to Quantum Mechanics and Game Theory
On Large-Scale Dynamic Topic Modeling with Nonnegative CP Tensor Decomposition
Improved HER2 Tumor Segmentation with Subtype Balancing using Deep Generative Networks
ASIA: An Access Control, Session Invocation and Authorization Architecture for Home Energy Appliances in Smart Energy Grid Environments
Time-Dependent VAE for Building Latent Factor from Visual Neural Activity with Complex Dynamics
k-Connectivity of Random Key Graphs
Persuasion Strategies in Advertisements: Dataset, Modeling, and Baselines
Mamba Goes HoME: Hierarchical Soft Mixture-of-Experts for 3D Medical Image Segmentation
Partial sequence labeling with structured Gaussian Processes
Practical Alternating Least Squares for Tensor Ring Decomposition
Posterior Sampling by Combining Diffusion Models with Annealed Langevin Dynamics
ComfyGen: Prompt-Adaptive Workflows for Text-to-Image Generation
Max Bense as a Visionary: from Entropy to the Dialectics of Programmed Images
Give Me FP32 or Give Me Death? Challenges and Solutions for Reproducible Reasoning
Lady and the Tramp Nextdoor: Online Manifestations of Economic Inequalities in the Nextdoor Social Network
Attention-based Pairwise Multi-Perspective Convolutional Neural Network for Answer Selection in Question Answering
Memory-Centric Computing: Recent Advances in Processing-in-DRAM
Exploring the Potential of Large Language Models to Simulate Personality
Running Cloud-native Workloads on HPC with High-Performance Kubernetes
Energy Management of a Multi-Battery System for Renewable-Based High Power EV Charging
Learning-based Prescribed-Time Safety for Control of Unknown Systems with Control Barrier Functions
The Impossibility of Extending Random Dictatorship to Weak Preferences
The Moral Consistency Pipeline: Continuous Ethical Evaluation for Large Language Models
Stability of the Decoupled Extended Kalman Filter in the LSTM-Based Online Learning
The epidemic threshold in directed networks
Multi-modal Graph Learning for Disease Prediction
Integration of Design Patterns and Mobile Applications in a Management System for Monitoring Maintenance Cathode Plates of Mining Company Quebrada Blanca SA
Stochastic Dispatch of Energy Storage in Microgrids: A Reinforcement Learning Approach Incorporated with MCTS
MAP moving horizon estimation for threshold measurements with application to field monitoring
Mechanics of Learned Reasoning 1: TempoBench, A Benchmark for Interpretable Deconstruction of Reasoning System Performance
Game Theoretic Analysis of Auction Mechanisms Modeled by Constrained Optimization Problems
Enhanced Multiobjective Evolutionary Algorithm based on Decomposition for Solving the Unit Commitment Problem
A Partial Taxonomy of Substitutability and Interchangeability
Engaging, Large-Scale Functional Programming Education in Physical and Virtual Space
Optimal Auction For Edge Computing Resource Management in Mobile Blockchain Networks: A Deep Learning Approach
Serial or Parallel? Plug-able Adapter for multilingual machine translation
Text Quality-Based Pruning for Efficient Training of Language Models
Sampling Kantorovich operators for speckle noise reduction using a Down-Up scaling approach and gap filling in remote sensing images
MoE-GraphSAGE-Based Integrated Evaluation of Transient Rotor Angle and Voltage Stability in Power Systems
Injury risk prediction for traffic accidents in Porto Alegre/RS, Brazil
Communication-efficient and Differentially-private Distributed Nash Equilibrium Seeking with Linear Convergence
Sequentially Generated Instance-Dependent Image Representations for Classification
Fast and Scalable Earth Texture Synthesis using Spatially Assembled Generative Adversarial Neural Networks
Shuffler: A Large Scale Data Management Tool for ML in Computer Vision
Detecting Every Object from Events
Tokenization Matters! Degrading Large Language Models through Challenging Their Tokenization
Online Assessment Misconduct Detection using Internet Protocol and Behavioural Classification
CDRec: Cayley-Dickson Recommender
stEnTrans: Transformer-based deep learning for spatial transcriptomics enhancement
Help Me Find a Job: A Graph-based Approach for Job Recommendation at Scale
Wave-Style Token Machines and Quantum Lambda Calculi
VAIS Hate Speech Detection System: A Deep Learning based Approach for System Combination
Robot joint characterisation and control using a magneto-optical rotary encoder
Diagnosis of COVID-19 Using Machine Learning and Deep Learning: A review
Estimating Historical Hourly Traffic Volumes via Machine Learning and Vehicle Probe Data: A Maryland Case Study
Discourse Coherence, Reference Grounding and Goal Oriented Dialogue
Implementation of the Emulator-based Component Analysis
Dealing with observability in interaction-based Offline Runtime Verification of Distributed Systems
Pedestrian Detection in Thermal Images using Saliency Maps
Improving Amharic Handwritten Word Recognition Using Auxiliary Task
Enhanced Graph Convolutional Network with Chebyshev Spectral Graph and Graph Attention for Autism Spectrum Disorder Classification
GraphPub: Generation of Differential Privacy Graph with High Availability
Extending the Energy Framework for Network Simulator 3 (ns-3)
Uncoordinated Access to Serverless Computing in MEC Systems for IoT
MANTA: Physics-Informed Generalized Underwater Object Tracking
Classification Calibration for Long-tail Instance Segmentation
Towards Enabling Cardiac Digital Twins of Myocardial Infarction Using Deep Computational Models for Inverse Inference
Matrix Bloom Filter: An Efficient Probabilistic Data Structure for 2-tuple Batch Lookup
Bayesian Meta-Reinforcement Learning with Laplace Variational Recurrent Networks
Enabling robust sensor network design with data processing and optimization making use of local beehive image and video files
OpenLLM-Ro - Technical Report on Open-source Romanian LLMs
Generative Distribution Distillation
Learning Causal Graphs via Monotone Triangular Transport Maps
Large Language Models Are Strong Audio-Visual Speech Recognition Learners
Quantifying Information Disclosure During Gradient Descent Using Gradient Uniqueness
Combining Rollout Designs and Clustering for Causal Inference under Low-order Interference
Mitigating the Uncanny Valley Effect in Hyper-Realistic Robots: A Student-Centered Study on LLM-Driven Conversations
OminiControl: Minimal and Universal Control for Diffusion Transformer
Fair Range k-center
A Remedy for Over-Squashing in Graph Learning via Forman-Ricci Curvature based Graph-to-Hypergraph Structural Lifting
Phasing Through the Flames: Rapid Motion Planning with the AGHF PDE for Arbitrary Objective Functions and Constraints
Cryptovirology: Virus Approach
Recurrent Graph Transformer Network for Multiple Fault Localization in Naval Shipboard Systems
FLEX: Parameter-free Multi-view 3D Human Motion Reconstruction
Towards Detecting, Recognizing, and Parsing the Address Information from Bangla Signboard: A Deep Learning-based Approach
Findings of the BlackboxNLP 2025 Shared Task: Localizing Circuits and Causal Variables in Language Models
FS-MedSAM2: Exploring the Potential of SAM2 for Few-Shot Medical Image Segmentation without Fine-tuning
Locally exact modifications of numerical integrators
Learning long-range spatial dependencies with horizontal gated-recurrent units
Certifiably Robust Interpretation in Deep Learning
Privacy and Fairness in Federated Learning: on the Perspective of Trade-off
Grounded Gesture Generation: Language, Motion, and Space
RefCritic: Training Long Chain-of-Thought Critic Models with Refinement Feedback
Name-free combinators for concurrency
Koopman Spectrum Nonlinear Regulator and Provably Efficient Online Learning
Stain based contrastive co-training for histopathological image analysis
How You Move Your Head Tells What You Do: Self-supervised Video Representation Learning with Egocentric Cameras and IMU Sensors
Collection and Evaluation of a Long-Term 4D Agri-Robotic Dataset
Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Augmented by ChatGPT
A Separation Principle for Discrete-Time Fractional-Order Dynamical Systems and its Implications to Closed-loop Neurotechnology
Field Robot for High-throughput and High-resolution 3D Plant Phenotyping
Can Large Reasoning Models Improve Accuracy on Mathematical Tasks Using Flawed Thinking?
Can LLMs Play Ô Ăn Quan Game? A Study of Multi-Step Planning and Decision Making
An Assessment on the Use of Stationary Vehicles as a Support to Cooperative Positioning
LCOE-based Pricing for DLT-enabled Local Energy Trading Platforms
Sparse Polynomial Interpolation Based on Diversification
Deploying deep learning in OpenFOAM with TensorFlow
Data-Efficient Alignment of Large Language Models with Human Feedback Through Natural Language
Risk-aware Stochastic Shortest Path
Band-Limited Equivalence of Convolution Operators and its Application to Filtered Vorticity Dynamics
Using Pre-training and Interaction Modeling for ancestry-specific disease prediction in UK Biobank
Axiomatic approach to the theory of algorithms and relativized computability
Astrea: A MOE-based Visual Understanding Model with Progressive Alignment
Multi-scale Feature Enhancement in Multi-task Learning for Medical Image Analysis
Fast Spherical Quasiconformal Parameterization of Genus-0 Closed Surfaces with Application to Adaptive Remeshing
Real-Time Prediction of the Duration of Distribution System Outages
k-Means for Streaming and Distributed Big Sparse Data
A Generalized Probabilistic Monitoring Model with Both Random and Sequential Data
Hierarchy-Boosted Funnel Learning for Identifying Semiconductors with Ultralow Lattice Thermal Conductivity
Value constrained model-free continuous control
Real-time LIDAR localization in natural and urban environments
Structured Pruning of Neural Networks with Budget-Aware Regularization
Segmentation of real algebraic plane curves
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector
Low-Resolution Editing is All You Need for High-Resolution Editing
What Changed? Converting Representational Interventions to Natural Language
An Agent-based Model Simulation Approach to Demonstrate Effects of Aging Population and Social Service Policies on Pensions Fund and Its Long-term Socio-economic Consequences
Reliable and Efficient In-Memory Fault Tolerance of Large Language Model Pretraining
SEMC: Structure-Enhanced Mixture-of-Experts Contrastive Learning for Ultrasound Standard Plane Recognition
Resolving Symmetry Ambiguity in Correspondence-based Methods for Instance-level Object Pose Estimation
Interpreting Multi-Attribute Confounding through Numerical Attributes in Large Language Models
Artificial Intelligence and Statistical Techniques in Short-Term Load Forecasting: A Review
Local Sufficiency for Partial Strategyproofness
Graph Neural Network Enhanced Retrieval for Question Answering of LLMs
VT-SSum: A Benchmark Dataset for Video Transcript Segmentation and Summarization
DSP-informed bandwidth extension using locally-conditioned excitation and linear time-varying filter subnetworks
Prompt2NeRF-PIL: Fast NeRF Generation via Pretrained Implicit Latent
Capacity-Achieving Codes for Noisy Insertion Channels
Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019
OpenEP: Open-Ended Future Event Prediction
GenMotion: Data-driven Motion Generators for Real-time Animation Synthesis
Diagnosing and Augmenting Feature Representations in Correctional Inverse Reinforcement Learning
NetGPT: Generative Pretrained Transformer for Network Traffic
Does MAML Only Work via Feature Re-use? A Data Centric Perspective
A Computationally Efficient Approach to Black-box Optimization using Gaussian Process Models
Graph Neural Networks with Transformer Fusion of Brain Connectivity Dynamics and Tabular Data for Forecasting Future Tobacco Use
Sangrahaka: A Tool for Annotating and Querying Knowledge Graphs
An Emergency System for Succoring Children using Mobile GIS
Delay-Robustness for Localization-Based Distributed Control of Timed Discrete-Event Systems
HemaGraph: Breaking Barriers in Hematologic Single Cell Classification with Graph Attention
Bayesian Nonlocal Operator Regression (BNOR): A Data-Driven Learning Framework of Nonlocal Models with Uncertainty Quantification
HPGN: Hybrid Priors-Guided Network for Compressed Low-Light Image Enhancement
Improved Linear-Time Construction of Minimal Dominating Set via Mobile Agents
Face-LLaVA: Facial Expression and Attribute Understanding through Instruction Tuning
Automatic Reward Shaping from Multi-Objective Human Heuristics
Graphon Estimation in bipartite graphs with observable edge labels and unobservable node labels
Automated Verification of Stand-alone Solar Photovoltaic Systems
Achievable Degrees of Freedom of the K-user Interference Channel with Partial Cooperation
Aggregation Models with Optimal Weights for Distributed Gaussian Processes
Practical Bias Mitigation through Proxy Sensitive Attribute Label Generation
Data-Adaptive Discriminative Feature Localization with Statistically Guaranteed Interpretation
pymgrid: An Open-Source Python Microgrid Simulator for Applied Artificial Intelligence Research
Investigating the Vulnerability of LLM-as-a-Judge Architectures to Prompt-Injection Attacks
Improving Motion Forecasting for Autonomous Driving with the Cycle Consistency Loss
On Provably Robust Meta-Bayesian Optimization
OBsmith: Testing JavaScript Obfuscator using LLM-powered sketching
Time Transfer: On Optimal Learning Rate and Batch Size In The Infinite Data Limit
Vidi: Large Multimodal Models for Video Understanding and Editing
QUASAR: An Evolutionary Algorithm to Accelerate High-Dimensional Optimization
Nonparametric adaptive active learning under local smoothness condition
Energy efficient prediction clustering algorithm for multilevel heterogeneous wireless sensor networks
On the Relationship Between Modularity and Stability in Software Packages
Secrecy Amplification for Distributed Encrypted Sources with Correlated Keys using Affine Encoders
Testing for Mathematical Lineation in Jim Crace's "Quarantine" and T. S. Eliot's "Four Quartets"
Catastrophic forgetting: still a problem for DNNs
AI based approach to Trailer Generation for Online Educational Courses
A Linear Programming Based Approach to the Steiner Tree Problem with a Fixed Number of Terminals
UFVideo: Towards Unified Fine-Grained Video Cooperative Understanding with Large Language Models
CogniSQL-R1-Zero: Lightweight Reinforced Reasoning for Efficient SQL Generation
Towards Trustworthy Dataset Distillation
A logical approach for temporal and multiplex networks analysis
Decoding Envelope and Frequency-Following EEG Responses to Continuous Speech Using Deep Neural Networks
Cooperation and Underlay Mode Selection in Cognitive Radio Network
Lower Rate Bounds for Hermitian-Lifted Codes for Odd Prime Characteristic
Nonconvex Consensus ADMM for Cooperative Lane Change Maneuvers of Connected Automated Vehicles
Deep Learning for the Benes Filter
On MDS Negacyclic LCD Codes