yusuke1997/dblp-id-title huggingface dataset:
Quality and Quantity: Unveiling a Million High-Quality Images for Text-to-Image Synthesis in Fashion Design
Physics-based Learned Design: Optimized Coded-Illumination for Quantitative Phase Imaging
Generation of Synthetic Rat Brain MRI scans with a 3D Enhanced Alpha-GAN
Improved LT Codes in Low Overhead Regions for Binary Erasure Channels
Deep Natural Language Processing for LinkedIn Search
The coverage of Microsoft Academic: Analyzing the publication output of a university
Complete the Cycle: Reachability Types with Expressive Cyclic References
INSURE: An Information Theory Inspired Disentanglement and Purification Model for Domain Generalization
Tight Collision Avoidance for Stochastic Optimal Control: with Applications in Learning-based, Interactive Motion Planning
A Comprehensive Review on Privacy-Preserving Metering in Smart Grid for Billing; Operation; and Rewarding Schemes, with Two Novel Solutions
REVEAL - Reasoning and Evaluation of Visual Evidence through Aligned Language
StepTool: A Step-grained Reinforcement Learning Framework for Tool Learning in LLMs
Network-aware EV charging and discharging in unbalanced distribution grids: A distributed, robust approach against communication failures
Accurate Face Detection for High Performance
A complexity dichotomy for Matching Cut in (bipartite) graphs of fixed diameter
Cross-Tokenizer Distillation via Approximate Likelihood Matching
Fast Learning of Multidimensional Hawkes Processes via Frank-Wolfe
LLM-Augmented Graph Neural Recommenders: Integrating User Reviews
Differentially Private Gomory-Hu Trees
Fast and Power Efficient Sensor Arbitration: Physical Layer Collision Recovery of Passive RFID Tags
Enhancing Operation of a Sewage Pumping Station for Inter Catchment Wastewater Transfer by Using Deep Learning and Hydraulic Model
Max-Pooling Loss Training of Long Short-Term Memory Networks for Small-Footprint Keyword Spotting
Quantum Temporal Fusion Transformer
Parametric stiffness analysis of the Orthoglide
Spatial Context-based Self-Supervised Learning for Handwritten Text Recognition
The Cognate Data Bottleneck in Language Phylogenetics
CSST Strong Lensing Preparation: a Framework for Detecting Strong Lenses in the Multi-color Imaging Survey by the China Survey Space Telescope (CSST)
Brain Tumor Survival Prediction using Radiomics Features
Recognition of Heat-Induced Food State Changes by Time-Series Use of Vision-Language Model for Cooking Robot
MALT: Mechanistic Ablation of Lossy Translation in LLMs for a Low-Resource Language: Urdu
Learning a Patent-Informed Biomedical Knowledge Graph Reveals Technological Potential of Drug Repositioning Candidates
Learning Transport Processes with Machine Intelligence
Productive Crop Field Detection: A New Dataset and Deep Learning Benchmark Results
TPM-Based Continuous Remote Attestation and Integrity Verification for 5G VNFs on Kubernetes
SAfER: Layer-Level Sensitivity Assessment for Efficient and Robust Neural Network Inference
Hyperparameter Transfer Learning through Surrogate Alignment for Efficient Deep Neural Network Training
Multitask Learning of Temporal Connectionism in Convolutional Networks using a Joint Distribution Loss Function to Simultaneously Identify Tools and Phase in Surgical Videos
SGD-Net: Efficient Model-Based Deep Learning with Theoretical Guarantees
Edge Computing in IoT: A 6G Perspective
A Constraint Model for the Tree Decomposition of a Graph
VIAssist: Adapting Multi-modal Large Language Models for Users with Visual Impairments
Calibrating Likelihoods towards Consistency in Summarization Models
Training-free Truthfulness Detection via Value Vectors in LLMs
Large Language Models for Travel Behavior Prediction
Histogram Arithmetic under Uncertainty of Probability Density Function
RANSAC based three points algorithm for ellipse fitting of spherical object's projection
Towards an Operational Definition of Group Network Codes
About Code Equivalence - a Geometric Approach
The Pursuit of Empathy: Evaluating Small Language Models for PTSD Dialogue Support
Bayesian Interpolants as Explanations for Neural Inferences
Excellence networks in science: A web-based application (www.excellence-networks.net) for the identification of institutions collaborating successfully
Standard decomposition of expansive ergodically supported dynamics
Execution-Aware Program Reduction for WebAssembly via Record and Replay
Rephrasing the Reference for Non-Autoregressive Machine Translation
Generalized Operating Procedure for Deep Learning: an Unconstrained Optimal Design Perspective
SAMVAD: A Multi-Agent System for Simulating Judicial Deliberation Dynamics in India
A Convex Framework for Optimal Investment on Disease Awareness in Social Networks
Abstraction-Based Output-Feedback Control with State-Based Specifications
Reasoning Meets Representation: Envisioning Neuro-Symbolic Wireless Foundation Models
A Modified Dielectric Contrast based Integral Equation for 2D TE Scattering by Inhomogeneous Domains
Learning the Loss Functions in a Discriminative Space for Video Restoration
ServerlessLoRA: Minimizing Latency and Cost in Serverless Inference for LoRA-Based LLMs
LEAN-GitHub: Compiling GitHub LEAN repositories for a versatile LEAN prover
CheXplain: Enabling Physicians to Explore and UnderstandData-Driven, AI-Enabled Medical Imaging Analysis
Emotion Recognition with Machine Learning Using EEG Signals
The Value of Information for Populations in Varying Environments
Hierarchical Representations for Spatio-Temporal Visual Attention Modeling and Understanding
Bridging the gap between Markowitz planning and deep reinforcement learning
Unified hp-HDG Frameworks for Friedrichs' PDE systems
Predicting Item Popularity: Analysing Local Clustering Behaviour of Users
Piecewise Semi-Analytical Formulation for the Analysis of Coupled-Oscillator Systems
Intent Matching based Customer Services Chatbot with Natural Language Understanding
Autoencoder Node Saliency: Selecting Relevant Latent Representations
What makes your model a low-empathy or warmth person: Exploring the Origins of Personality in LLMs
SE-LIO: Semantics-enhanced Solid-State-LiDAR-Inertial Odometry for Tree-rich Environments
Modelling Competences for Partner Selection in Service-Oriented Virtual Organization Breeding Environments
Agent-based Simulation Evaluation of CBD Tolling: A Case Study from New York City
STOAT: Structured Data to Analytical Text With Controls
Visualisation of sulphur on single fibre level for pulping industry
A Note on Sample Complexity of Interactive Imitation Learning with Log Loss
Spintronic Bayesian Hardware Driven by Stochastic Magnetic Domain Wall Dynamics
From keywords to semantics: Perceptions of large language models in data discovery
Under the Hood of Tabular Data Generation Models: the Strong Impact of Hyperparameter Tuning
Demystifying Scientific Problem-Solving in LLMs by Probing Knowledge and Reasoning
Joint Filter and Waveform Design for Radar STAP in Signal Dependent Interference
Online Decision Making with Generative Action Sets
A Data Augmentation Method for Fully Automatic Brain Tumor Segmentation
A Bayesian Conjugate Gradient Method
Specification-guided temporal logic control for stochastic systems: a multi-layered approach
A Data-Driven Autopilot for Fixed-Wing Aircraft Based on Model Predictive Control
xDeepServe: Model-as-a-Service on Huawei CloudMatrix384
On Effects of Imperfect Channel State Information on Null Space Based Cognitive MIMO Communication
Time-complexity semantics for feasible affine recursions (extended abstract)
Two Web Toolkits for Multimodal Piano Performance Dataset Acquisition and Fingering Annotation
More on Compression and Ranking
Latent Swap Joint Diffusion for Long-Form Audio Generation
In-context Interference in Chat-based Large Language Models
Multiresolution community analysis of international trade networks
Q2A: Querying Implicit Fully Continuous Feature Pyramid to Align Features for Medical Image Segmentation
Reengineering PDF-Based Documents Targeting Complex Software Specifications
A Neural Network Perturbation Theory Based on the Born Series
Preoperative Rotator Cuff Tear Prediction from Shoulder Radiographs using a Convolutional Block Attention Module-Integrated Neural Network
Provable Approximations for Constrained $\ell_p$ Regression
Corpus-Guided Contrast Sets for Morphosyntactic Feature Detection in Low-Resource English Varieties
Network Connectivity-Information Freshness Tradeoff in Information Dissemination Over Networks
Large scale three-dimensional manufacturing tolerant stress-constrained topology optimization
Scale-Aware Crowd Count Network with Annotation Error Correction
An Efficient Semantic Segmentation Decoder for In-Car or Distributed Applications
Sex as Gibbs Sampling: a probability model of evolution
Addressing Cross-Lingual Word Sense Disambiguation on Low-Density Languages: Application to Persian
Debian in the Research Software Ecosystem: A Bibliometric Analysis
Riemannian Newton-CG Methods for Constructing a Positive Doubly Stochastic Matrix From Spectral Data
Experimental Comparison of Probabilistic Shaping Methods for Unrepeated Fiber Transmission
Explainable Artificial Intelligence and Multicollinearity : A Mini Review of Current Approaches
Benchmark computations of the phase field crystal and functionalized Cahn-Hilliard equations via fully implicit, Nesterov accelerated schemes
Discriminative Distance-Based Network Indices and the Tiny-World Property
SNAP: Unlearning Selective Knowledge in Large Language Models with Negative Instructions
Weighted Partition Vertex and Edge Cover
Linear-Time WordPiece Tokenization
Deep convolutional neural network application on rooftop detection for aerial image
Approaches for user profile Investigation in Orkut Social Network
Differentially Private Approximation Algorithms
PIANIST: Learning Partially Observable World Models with LLMs for Multi-Agent Decision Making
GSCLIP : A Framework for Explaining Distribution Shifts in Natural Language
I Ate This: A Photo-based Food Journaling System with Expert Feedback
Tensor Networks and Quantum Error Correction
Unsupervised Text Mining of COVID-19 Records
Training Domain Specific Models for Energy-Efficient Object Detection
Gradient Imitation Reinforcement Learning for General Low-Resource Information Extraction
Exploitation and Exploration Analysis of Elitist Evolutionary Algorithms: A Case Study
Reducing Programs to Objects
Optimal Analysis of Subset-Selection Based L_p Low Rank Approximation
Benchmarking of Deep Learning Methods for Generic MRI Multi-Organ Abdominal Segmentation
Beyond PID Controllers: PPO with Neuralized PID Policy for Proton Beam Intensity Control in Mu2e
To Observe or Not to Observe: Queuing Game Framework for Urban Parking
Comparing CTC and LFMMI for out-of-domain adaptation of wav2vec 2.0 acoustic model
Med-K2N: Flexible K-to-N Modality Translation for Medical Image Synthesis
The Discrepancy of Random Rectangular Matrices
Accurate Vision-based Vehicle Localization using Satellite Imagery
LProtector: An LLM-driven Vulnerability Detection System
FAIR Enough: How Can We Develop and Assess a FAIR-Compliant Dataset for Large Language Models' Training?
A Linear Programming Driven Genetic Algorithm for Meta-Scheduling on Utility Grids
LoFT: Local Proxy Fine-tuning For Improving Transferability Of Adversarial Attacks Against Large Language Model
A Benes Packet Network
Translation-Equivariance of Normalization Layers and Aliasing in Convolutional Neural Networks
Symphony: Localizing Multiple Acoustic Sources with a Single Microphone Array
DeepBND: a Machine Learning approach to enhance Multiscale Solid Mechanics
How to Train Your DRAGAN
Adaptive control for trailing arm suspension with hydraulic cylinder spring under practical constraints
High-frequency estimates on boundary integral operators for the Helmholtz exterior Neumann problem
Composite Adaptive Control for Bilateral Teleoperation Systems without Persistency of Excitation
Current Symmetry Group Equivariant Convolution Frameworks for Representation Learning
An Accelerated Testing Approach for Automated Vehicles with Background Traffic Described by Joint Distributions
Eigen-Value: Efficient Domain-Robust Data Valuation via Eigenvalue-Based Approach
BridgeEQA: Virtual Embodied Agents for Real Bridge Inspections
Network Capacity Region of Multi-Queue Multi-Server Queueing System with Time Varying Connectivities
Towards 6G with Connected Sky: UAVs and Beyond
Parametric Church's Thesis: Synthetic Computability without Choice
Constant-Competitive Prior-Free Auction with Ordered Bidders
Fuzzy Ensembles of Reinforcement Learning Policies for Robotic Systems with Varied Parameters
Agentic Search Engine for Real-Time IoT Data
Controllable Traffic Simulation through LLM-Guided Hierarchical Chain-of-Thought Reasoning
A Workload and Programming Ease Driven Perspective of Processing-in-Memory
The Fourier Cosine Method for Discrete Probability Distributions
MLOps: A Review
L-SA: Learning Under-Explored Targets in Multi-Target Reinforcement Learning
M2L Translation Operators for Kernel Independent Fast Multipole Methods on Modern Architectures
Lightweight Multimodal Artificial Intelligence Framework for Maritime Multi-Scene Recognition
Neighboring Autoregressive Modeling for Efficient Visual Generation
Synthetic Clarification and Correction Dialogues about Data-Centric Tasks - A Teacher-Student Approach
Fast Subgraph Matching by Exploiting Search Failures
Reading Between the Lines: Scalable User Feedback via Implicit Sentiment in Developer Prompts
TextCAM: Explaining Class Activation Map with Text
Urban characteristics attributable to density-driven tie formation
Interpretable Small Training Set Image Segmentation Network Originated from Multi-Grid Variational Model
Inference, Learning, and Population Size: Projectivity for SRL Models
Loc-Auth: Location-Enabled Authentication Through Attribute-Based Encryption
Randomized Substitution and Vote for Textual Adversarial Example Detection
Triangular preconditioners for double saddle point linear systems arising in the mixed form of poroelasticity equations
D2E-An Autonomous Decision-making Dataset involving Driver States and Human Evaluation
Close is Good Enough: Component-Based Synthesis Modulo Logical Similarity
Monte Carlo PINNs: deep learning approach for forward and inverse problems involving high dimensional fractional partial differential equations
Developing a Process in Architecting Microservice Infrastructure with Docker, Kubernetes, and Istio
Theory of Machine Networks: A Case Study
A Dynamic Approach to Stock Price Prediction: Comparing RNN and Mixture of Experts Models Across Different Volatility Profiles
Intrinsic dimension estimation for discrete metrics
ParaPoint: Learning Global Free-Boundary Surface Parameterization of 3D Point Clouds
On Optimal Synchronization of Diffusively Coupled Heterogeneous Van der Pol Oscillators
Global Minimizers of Sigmoid Contrastive Loss
Smartphones with UWB: Evaluating the Accuracy and Reliability of UWB Ranging
LLMC+: Benchmarking Vision-Language Model Compression with a Plug-and-play Toolkit
Lossless compression with state space models using bits back coding
Fast and accurate numerical simulations for the study of coronary artery bypass grafts by artificial neural network
An algorithm for improving Non-Local Means operators via low-rank approximation
FeatBench: Evaluating Coding Agents on Feature Implementation for Vibe Coding
Explainable Image Quality Assessments in Teledermatological Photography
On a fibrational construction for optics, lenses, and Dialectica categories
Non-linear and Linear Broadcasting with QoS Requirements: Tractable Approaches for Bounded Channel Uncertainties
A note on the size of query trees
Pre-Generating Multi-Difficulty PDE Data for Few-Shot Neural PDE Solvers
Visualising Basins of Attraction for the Cross-Entropy and the Squared Error Neural Network Loss Functions
Arabic Keyphrase Extraction using Linguistic knowledge and Machine Learning Techniques
WebAssembly and Unikernels: A Comparative Study for Serverless at the Edge
Improving Human-AI Coordination through Adversarial Training and Generative Models
Learning Joint Representation of Human Motion and Language
A holistic look at requirements engineering practices in the gaming industry
Perplexity-Homophily Index: Homophily through Diversity in Hypergraphs
Brain Tumor Detection and Classification Using a New Evolutionary Convolutional Neural Network
Four years of multi-modal odometry and mapping on the rail vehicles
AI2MMUM: AI-AI Oriented Multi-Modal Universal Model Leveraging Telecom Domain Large Model
Design and analysis of experiments in networks: Reducing bias from interference
Coresets For Monotonic Functions with Applications to Deep Learning
High-Performance Distributed Control for Large-Scale Linear Systems: A Partitioned Distributed Observer Approach
A new stable and avoiding inversion iteration for computing matrix square root
Towards Service-oriented 5G: Virtualizing the Networks for Everything-as-a-Service
New results on the robust coloring problem
LUCIFER: Language Understanding and Context-Infused Framework for Exploration and Behavior Refinement
Domain Mismatch Robust Acoustic Scene Classification using Channel Information Conversion
DWMD: Dimensional Weighted Orderwise Moment Discrepancy for Domain-specific Hidden Representation Matching
Multimodal Recurrent Ensembles for Predicting Brain Responses to Naturalistic Movies (Algonauts 2025)
A New Approach to Adaptive Data Analysis and Learning via Maximal Leakage
Statistical Analysis of Metric Graph Reconstruction
Countering Wrapping Attack on XML Signature in SOAP Message for Cloud Computing
HiGS: History-Guided Sampling for Plug-and-Play Enhancement of Diffusion Models
Mutual Enhancement of Large and Small Language Models with Cross-Silo Knowledge Transfer
Ghosts of Deletions Past: New Secure Deletion Challenges and Solutions
Stochastic gradient descent on Riemannian manifolds
Multi-Source Unsupervised Hyperparameter Optimization
An accelerated hybrid data-driven/model-based approach for poroelasticity problems with multi-fidelity multi-physics data
A Deep Representation of Longitudinal EMR Data Used for Predicting Readmission to the ICU and Describing Patients-at-Risk
Med-RLVR: Emerging Medical Reasoning from a 3B base model via reinforcement Learning
Introduction to ROSS: A New Representational Scheme
MILP-based optimal day-ahead scheduling for system-centric CEMS supporting different types of homes and energy trading
Identifying Orientation-specific Lipid-protein Fingerprints using Deep Learning
Exploring the Impact of Hand Pose and Shadow on Hand-washing Action Recognition
Enhancing Role-playing Systems through Aggressive Queries: Evaluation and Improvement
DCA-LUT: Deep Chromatic Alignment with 5D LUT for Purple Fringing Removal
Concurrent Training Improves the Performance of Behavioral Cloning from Observation
Monotone Simultaneous Embeddings of Paths in R^d
Yoimiya: A Scalable Framework for Optimal Resource Utilization in ZK-SNARK Systems
Harnessing Equivariance: Modeling Turbulence with Graph Neural Networks
A comparison of Deep Learning performances with others machine learning algorithms on credit scoring unbalanced data
Vector-level Feedforward Control of LPBF Melt Pool Area Using a Physics-Based Thermal Model
Comparison of the P300 detection accuracy related to the BCI speller and image recognition scenarios
Deep learning from crowds
Predictive Modeling of Charge Levels for Battery Electric Vehicles using CNN EfficientNet and IGTD Algorithm
Formalizing Timing Diagram Requirements in Discrete Duration Calulus
Single-source Domain Expansion Network for Cross-Scene Hyperspectral Image Classification
Equilibria and Their Stability Do Not Depend on the Control Barrier Function in Safe Optimization-Based Control
Deep Spectral Improvement for Unsupervised Image Instance Segmentation
Feasibility and Transferability of Transfer Learning: A Mathematical Framework
An O(n) time algorithm for finding Hamilton cycles with high probability
Are LLMs Useful in the Poorest Schools? theTeacherAI in Sierra Leone
Efficient Speech Language Modeling via Energy Distance in Continuous Latent Space
Towards an unanimous international regulatory body for responsible use of Artificial Intelligence [UIRB-AI]
Learning Multimodal Graph-to-Graph Translation for Molecular Optimization
Perturbation analysis for t-product based tensor inverse, Moore-Penrose inverse and tensor system
Indoor Fusion Positioning Based on "IMU-Ultrasonic-UWB" and Factor Graph Optimization Method
An Evaluation of Massively Parallel Algorithms for DFA Minimization
Physical-Layer Signal Injection Attacks on EV Charging Ports: Bypassing Authentication via Electrical-Level Exploits
Efficient Search and Learning for Agile Locomotion on Stepping Stones
Flexible Swapping for the Cloud
PhantomHunter: Detecting Unseen Privately-Tuned LLM-Generated Text via Family-Aware Learning
From An LLM Swarm To A PDDL-Empowered HIVE: Planning Self-Executed Instructions In A Multi-Modal Jungle
ActionSwitch: Class-agnostic Detection of Simultaneous Actions in Streaming Videos
Automated Extraction of Socio-political Events from News (AESPEN): Workshop and Shared Task Report
ShadowCoT: Cognitive Hijacking for Stealthy Reasoning Backdoors in LLMs
Multidataset Independent Subspace Analysis with Application to Multimodal Fusion
Scaling active inference
Improving fairness in machine learning systems: What do industry practitioners need?
A comparison of the notions of optimality in soft constraints and graphical games
CulturalFrames: Assessing Cultural Expectation Alignment in Text-to-Image Models and Evaluation Metrics
Learn to Select: Exploring Label Distribution Divergence for In-Context Demonstration Selection in Text Classification
Achievable Rate with Antenna Size Constraint: Shannon meets Chu and Bode
Algorithms and Architecture for Real-time Recommendations at News UK
Singularity Cipher: A Topology-Driven Cryptographic Scheme Based on Visual Paradox and Klein Bottle Illusions
Investigating Modality Contribution in Audio LLMs for Music
Redistributor: Transforming Empirical Data Distributions
MEMOIR: Lifelong Model Editing with Minimal Overwrite and Informed Retention for LLMs
Data refinement for fully unsupervised visual inspection using pre-trained networks
Is Crunching Public Data the Right Approach to Detect BGP Hijacks?
Deep Generative Models: Complexity, Dimensionality, and Approximation
Towards Modeling the Interaction of Spatial-Associative Neural Network Representations for Multisensory Perception
Metricizing the Euclidean Space towards Desired Distance Relations in Point Clouds
Inducing Distant Supervision in Suggestion Mining through Part-of-Speech Embeddings
Computing Abelian regularities on RLE strings
Advancing Crime Linkage Analysis with Machine Learning: A Comprehensive Review and Framework for Data-Driven Approaches
Leveraging Robust Optimization for LLM Alignment under Distribution Shifts
Weakly Supervised Ephemeral Gully Detection In Remote Sensing Images Using Vision Language Models
Differentially Private Synthetic Data Using KD-Trees
Predicting Locations of Cell Towers for Network Capacity Expansion
Variability of Artificial Neural Networks
Automatic Instantiation of Assurance Cases from Patterns Using Large Language Models
Why Do Some Inputs Break Low-Bit LLM Quantization?
Intrinsically Motivated Learning of Causal World Models
DiverseNet: Decision Diversified Semi-supervised Semantic Segmentation Networks for Remote Sensing Imagery
A Stability-first Approach to Running TCP over Starlink
"We need to do more ... I need to do more": Augmenting Digital Media Consumption via Critical Reflection to Increase Compassion and Promote Prosocial Attitudes and Behaviors
Sticky Brownian Motion and its Numerical Solution
Sample and Map from a Single Convex Potential: Generation using Conjugate Moment Measures
A study of problems with multiple interdependent components - Part I
Event-based YOLO Object Detection: Proof of Concept for Forward Perception System
An Accurate and Efficient Vulnerability Propagation Analysis Framework
Towards Complex-query Referring Image Segmentation: A Novel Benchmark
SoraNav: Adaptive UAV Task-Centric Navigation via Zeroshot VLM Reasoning
CHARME: A chain-based reinforcement learning approach for the minor embedding problem