yusuke1997/dblp-id-title huggingface dataset:
Logical Characterizations of Heap Abstractions
Macroscopic Modeling, Calibration, and Simulation of Managed Lane-Freeway Networks, Part II: Network-scale Calibration and Case Studies
A Unified Deep Semantic Expansion Framework for Domain-Generalized Person Re-identification
Outage Performance of Multi-tier UAV Communication with Random Beam Misalignment
Analysis of Solitaire
Plug-and-Play PDE Optimization for 3D Gaussian Splatting: Toward High-Quality Rendering and Reconstruction
Habit learning supported by efficiently controlled network dynamics in naive macaque monkeys
To be Robust and to be Fair: Aligning Fairness with Robustness
Analyzing and Improving Statistical Language Models for Speech Recognition
Batch Normalization Decomposed
Hierarchical Generalized Category Discovery for Brain Tumor Classification in Digital Pathology
Demo Abstract: Indoor Positioning System in Visually-Degraded Environments with Millimetre-Wave Radar and Inertial Sensors
Unified Directly Denoising for Both Variance Preserving and Variance Exploding Diffusion Models
Multi-Resolution Histopathology Patch Graphs for Ovarian Cancer Subtyping
How to select predictive models for causal inference?
Complete Boolean Algebra for Memristive and Spintronic Asymmetric Basis Logic Functions
Evaluating Single Event Upsets in Deep Neural Networks for Semantic Segmentation: an embedded system perspective
Using Lotkaian Informetrics for Ranking in Digital Libraries
Encoding protein dynamic information in graph representation for functional residue identification
Differentiable Expectation-Maximisation and Applications to Gaussian Mixture Model Optimal Transport
Forex Trading Volatility Prediction using Neural Network Models
Adversarial Representation Learning for Robust Privacy Preservation in Audio
Double-Exponential transformation: A quick review of a Japanese tradition
Towards Explaining Autonomy with Verbalised Decision Tree States
Leveraging OS-Level Primitives for Robotic Action Management
Face Detection: Present State and Research Directions
Fluid Antenna System-Enabled UAV-to-Ground Communications
Disparities in LLM Reasoning Accuracy and Explanations: A Case Study on African American English
Concept Trees: Building Dynamic Concepts from Semi-Structured Data using Nature-Inspired Methods
Selection-based Question Answering of an MOOC
Learning Rolling Shutter Correction from Real Data without Camera Motion Assumption
MFL Data Preprocessing and CNN-based Oil Pipeline Defects Detection
General purpose Molecular Dynamics Simulations on GPUs: Issues of Pair Forces and Scaling to large Clusters
3D Topology Optimization using Convolutional Neural Networks
Leveraging Priority Thresholds to Improve Equitable Housing Access for Unhoused-at-Risk Youth
Web Data Extraction, Applications and Techniques: A Survey
Coarse-to-fine Airway Segmentation Using Multi information Fusion Network and CNN-based Region Growing
Extracting thin film structures of energy materials using transformers
MEC-Empowered Non-Terrestrial Network for 6G Wide-Area Time-Sensitive Internet of Things
Spatial-Aware Efficient Projector for MLLMs via Multi-Layer Feature Aggregation
Recruitment-imitation Mechanism for Evolutionary Reinforcement Learning
On the filtered polynomial interpolation at Chebyshev nodes
Upscaling between an Agent-Based Model (Smoothed Particle Approach) and a Continuum-Based Model for Skin Contractions
The Isotonic Mechanism for Exponential Family Estimation
Moving Beyond Diffusion: Hierarchy-to-Hierarchy Autoregression for fMRI-to-Image Reconstruction
Future Trends in the Design of Memetic Algorithms: the Case of the Linear Ordering Problem
Solving container terminals problems using computer-based modeling
Approximately Optimal Mechanism Design: Motivation, Examples, and Lessons Learned
Weakly Supervised Learning Creates a Fusion of Modeling Cultures
Finance Agent Benchmark: Benchmarking LLMs on Real-world Financial Research Tasks
Exploring Data Agency and Autonomous Agents as Embodied Data Visualizations
On a special class of boxicity 2 graphs
Quantifying and Attributing the Hallucination of Large Language Models via Association Analysis
Gradient-based Optimization for Bayesian Preference Elicitation
Autonomous Shuttles for Last-Mile Connectivity
EaCO: Resource Sharing Dynamics and Its Impact on Energy Efficiency for DNN Training
A Bayesian methodology for localising acoustic emission sources in complex structures
Image Encryption Based On Gradient Haar Wavelet and Rational Order Chaotic Maps
Exploration of Performance and Energy Trade-offs for Heterogeneous Multicore Architectures
LeTS: Learning to Think-and-Search via Process-and-Outcome Reward Hybridization
Principal Autoparallel Analysis: Data Analysis in Weitzenböck Space
Nigeria's ICT and Economic Sustainability in the Digital Age
Research on the Detection Method of Breast Cancer Deep Convolutional Neural Network Based on Computer Aid
Inception Architecture and Residual Connections in Classification of Breast Cancer Histology Images
An efficient algorithm for ℱ-subgraph-free Edge Deletion on graphs having a product structure
Unsupervised Cross-dataset Person Re-identification by Transfer Learning of Spatial-Temporal Patterns
RapidMind: Portability across Architectures and its Limitations
Neural Gromov-Wasserstein Optimal Transport
Deep Dynamic Factor Models
Enabling Technologies for Programmable and Software-Defined Networks: Bolstering the Path Towards 6G
Shaping Political Discourse using multi-source News Summarization
Hypothesis Hunting with Evolving Networks of Autonomous Scientific Agents
Hybrid Quantum-Classical Machine Learning Potential with Variational Quantum Circuits
Message-Relevant Dimension Reduction of Neural Populations
MultiMed: Multilingual Medical Speech Recognition via Attention Encoder Decoder
Consistency of the Full and Reduced Order Models for Evolve-Filter-Relax Regularization of Convection-Dominated, Marginally-Resolved Flows
Face Alignment Using Active Shape Model And Support Vector Machine
On Median Filters for Motion by Mean Curvature
Conditional Autoencoders with Adversarial Information Factorization
M3ST-DTI: A multi-task learning model for drug-target interactions based on multi-modal features and multi-stage alignment
We Can Hide More Bits: The Unused Watermarking Capacity in Theory and in Practice
BERTer: The Efficient One
High-utility itemset mining for subadditive monotone utility functions
CausalCLIP: Causally-Informed Feature Disentanglement and Filtering for Generalizable Detection of Generated Images
Empowering GraphRAG with Knowledge Filtering and Integration
A linear adaptive BDF2 scheme for phase field crystal equation
Variance-Based Pruning for Accelerating and Compressing Trained Networks
Packing Short Plane Spanning Graphs in Complete Geometric Graphs
The University of Helsinki submissions to the WMT19 news translation task
On the Generalization of Preference Learning with DPO
HIPPO-Video: Simulating Watch Histories with Large Language Models for Personalized Video Highlighting
Word Ladders: A Mobile Application for Semantic Data Collection
Perfect Simulation of $M/G/c$ Queues
Scenario-Assisted Deep Reinforcement Learning
Truly Sub-Nyquist Method Based Matrix Pencil and CRT with Super Resolution
Management of dangerous goods in container terminal with MAS model
Preparing an Endangered Language for the Digital Age: The Case of Judeo-Spanish
Self-Supervised Discovering of Causal Features: Towards Interpretable Reinforcement Learning
A Bunch of Sessions: A Propositions-as-Sessions Interpretation of Bunched Implications in Channel-Based Concurrency
Fair and Unbiased Algorithmic Decision Making: Current State and Future Challenges
JudgeBench: A Benchmark for Evaluating LLM-based Judges
FlipHash: A Constant-Time Consistent Range-Hashing Algorithm
Almost optimal Boolean matrix multiplication [BMM]-by multi-encoding of rows and columns
GhostPrompt: Jailbreaking Text-to-image Generative Models based on Dynamic Optimization
Evaluating the Effectiveness of Large Language Models in Representing Textual Descriptions of Geometry and Spatial Relations
Hallucinate, Ground, Repeat: A Framework for Generalized Visual Relationship Detection
Secrecy via Sources and Channels -- A Secret Key - Secret Message Rate Trade-off Region
Architecture and Production Readiness Reviews in Practice
A framework for the emergence and analysis of language in social learning agents
Fine-tuning Pretrained Multilingual BERT Model for Indonesian Aspect-based Sentiment Analysis
A Game-Theoretic Framework for Autonomous Vehicles Velocity Control: Bridging Microscopic Differential Games and Macroscopic Mean Field Games
Approximate Degrees of Multisymmetric Properties with Application to Quantum Claw Detection
TomoReal: Tomographic Displays
Towards a Semantic Preservation System
The h index for research assessment: Simple and popular, but shown by mathematical analysis to be inconsistent and misleading
UI Layout Generation with LLMs Guided by UI Grammar
Application of the Affinity Propagation Clustering Technique to obtain traffic accident clusters at macro, meso, and micro levels
The CAST package for training and assessment of spatial prediction models in R
A MIND for Reasoning: Meta-learning for In-context Deduction
From Tea Leaves to System Maps: Context-awareness in Monitoring Operational Machine Learning Models
Guiding the Experts: Semantic Priors for Efficient and Focused MoE Routing
Human-Instruction-Free LLM Self-Alignment with Limited Samples
Not All Languages are Equal: Insights into Multilingual Retrieval-Augmented Generation
AstroVisBench: A Code Benchmark for Scientific Computing and Visualization in Astronomy
2x Faster Language Model Pre-training via Masked Structural Growth
Ultra Lightweight Multiple-time Digital Signature for the Internet of Things Devices
Abstract machines for dialogue games
Closing the Intent-to-Behavior Gap via Fulfillment Priority Logic
Stochastic Interpretation of Quasi-periodic Event-based Systems
Classification of Psychiatry Clinical Notes by Diagnosis: A Deep Learning and Machine Learning Approach
Perspicuity and Granularity in Refinement
Point Linguist Model: Segment Any Object via Bridged Large 3D-Language Model
Universal Image Restoration Pre-training via Masked Degradation Classification
Game theory to enhance stock management of personal protective equipment (PPE) during the COVID-19 outbreak
Multi-modal clothing recommendation model based on large model and VAE enhancement
Accurate and Uncertainty-Aware Multi-Task Prediction of HEA Properties Using Prior-Guided Deep Gaussian Processes
Seamless Multimodal Biometrics for Continuous Personalised Wellbeing Monitoring
Physics-informed Polynomial Chaos Expansion with Enhanced Constrained Optimization Solver and D-optimal Sampling
Artificial prediction markets present a novel opportunity for human-AI collaboration
OrthoReg: Improving Graph-regularized MLPs via Orthogonality Regularization
Knowledge-Design: Pushing the Limit of Protein Design via Knowledge Refinement
The Newton Scheme for Deep Learning
Transformer verbatim in-context retrieval across time and scale
Hyperspectral Image Segmentation based on Graph Processing over Multilayer Networks
Modeling crowdsourcing as collective problem solving
Identifying regions of interest in whole slide images of renal cell carcinoma
Gene-SGAN: a method for discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering
Exploring Scientific Debt: Harnessing AI for SATD Identification in Scientific Software
AC/DC optimal power flow and techno-economic assessment for hybrid microgrids: TIGON CEDER demonstrator
Taxonomy, Structure, and Implementation of Evidential Reasoning
CX DB8: A queryable extractive summarizer and semantic search engine
Soft Graph Transformer for MIMO Detection
DG-DETR: Toward Domain Generalized Detection Transformer
Towards real-world complexity: an introduction to multiplex networks
Capsule Networks against Medical Imaging Data Challenges
An Algebraic Framework for Concatenated Linear Block Codes in Side Information Based Problems
Unsupervised Ensemble Selection for Multilayer Bootstrap Networks
Deep CNN based feature extractor for text-prompted speaker recognition
Introduction to Presentation Attack Detection in Iris Biometrics and Recent Advances
Evaluation of concept drift adaptation for acoustic scene classifier based on Kernel Density Drift Detection and Combine Merge Gaussian Mixture Model
The utilization of spherical camera in simulation for service robotics
Rethinking the Mean Teacher Strategy from the Perspective of Self-paced Learning
Linear Scalarization for Byzantine-robust learning on non-IID data
Sentiment Analysis of German Twitter
Auction-Based Coopetition between LTE Unlicensed and Wi-Fi
Deep Reinforcement Learning-Based Optimization of Second-Life Battery Utilization in Electric Vehicles Charging Stations
SoftTRR: Protect Page Tables Against RowHammer Attacks using Software-only Target Row Refresh
How compositional generalization and creativity improve as diffusion models are trained
Nonlinear Stability Boundary Assessment Of Wind Power Plants Based on Reverse-Time Trajectory
Leveraging Team Dynamics to Predict Open-source Software Projects' Susceptibility to Social Engineering Attacks
Tight Bounds on Channel Reliability via Generalized Quorum Systems (Extended Version)
Object and Contact Point Tracking in Demonstrations Using 3D Gaussian Splatting
Task Prompt Vectors: Effective Initialization through Multi-Task Soft-Prompt Transfer
Let's Roll: Synthetic Dataset Analysis for Pedestrian Detection Across Different Shutter Types
Stop When Enough: Adaptive Early-Stopping for Chain-of-Thought Reasoning
Is Model Attention Aligned with Human Attention? An Empirical Study on Large Language Models for Code Generation
Improving Cyberbully Detection with User Interaction
Enhancing Multi-Class Disease Classification: Neoplasms, Cardiovascular, Nervous System, and Digestive Disorders Using Advanced LLMs
Halting Recurrent GNNs and the Graded μ-Calculus
Compositional Generalization Requires Compositional Parsers
Application of Business Intelligence In Banks (Pakistan)
Polcovar: Software for Computing the Mean and Variance of Subgraph Counts in Random Graphs
How Good Are We? Evaluating Cell AI Foundation Models in Kidney Pathology with Human-in-the-Loop Enrichment
SoK: Verifiable Cross-Silo FL
Semi-supervised Learning using Adversarial Training with Good and Bad Samples
Machine Learning Meets Mental Training - A Proof of Concept Applied to Memory Sports
Exact Matching and Top-k Perfect Matching Parameterized by Neighborhood Diversity or Bandwidth
Data Interpolation: An Efficient Sampling Alternative for Big Data Aggregation
Symmetric Linear Programming Formulations for Minimum Cut with Applications to TSP
Width, depth and space
Towards Efficient Communication Federated Recommendation System via Low-rank Training
E^2-LLM: Efficient and Extreme Length Extension of Large Language Models
Stochastic Sparse Sampling: A Framework for Variable-Length Medical Time Series Classification
Towards an induction principle for nested data types
A weakly monotonic, logically constrained, HORPO-variant
Hyperspectral Image Segmentation with Markov Random Fields and a Convolutional Neural Network
FLoRA: Low-Rank Core Space for N-dimension
Interpretable and Fair Comparison of Link Prediction or Entity Alignment Methods with Adjusted Mean Rank
Computer Supported Collaborative Research
Document Classification Using Distributed Machine Learning
Technical Report on Reinforcement Learning Control on the Lucas-Nülle Inverted Pendulum
Using exoskeletons to assist medical staff during prone positioning of mechanically ventilated COVID-19 patients: a pilot study
Game Theoretic Network Coding-aided MAC for Data Dissemination towards Energy Efficiency
AnomaLLMy - Detecting anomalous tokens in black-box LLMs through low-confidence single-token predictions
RuN: Residual Policy for Natural Humanoid Locomotion
On The Recovery Performance of Single- and Multipath OLSR in Wireless Multi-Hop Networks
Structural Induction Principles for Functional Programmers
Unveiling the Hessian's Connection to the Decision Boundary
Towards a Spatiotemporal Fusion Approach to Precipitation Nowcasting
GS-CLIP: Gaussian Splatting for Contrastive Language-Image-3D Pretraining from Real-World Data
Heterogeneous causal effects with imperfect compliance: a novel Bayesian machine learning approach
Attention-Enhanced Prototypical Learning for Few-Shot Infrastructure Defect Segmentation
Simple Locally Repairable Codes for Distributed Storage System
A Price-Per-Attention Auction Scheme Using Mouse Cursor Information
Pressure robust mixed methods for nearly incompressible elasticity
Learning Feature Relevance Through Step Size Adaptation in Temporal-Difference Learning
Counterfactual Explanations for Deep Learning-Based Traffic Forecasting
Feature matching for multi-epoch historical aerial images
Time series forecasting with high stakes: A field study of the air cargo industry
The Synergy of Speculative Decoding and Batching in Serving Large Language Models
Segmentation of Lumen and External Elastic Laminae in Intravascular Ultrasound Images using Ultrasonic Backscattering Physics Initialized Multiscale Random Walks
Quasi-optimal Discontinuous Galerkin discretisations of the p-Dirichlet problem
Signal communication and modular theory
Uncertainty-Aware Search and Value Models: Mitigating Search Scaling Flaws in LLMs
Demographic Inference from Social Media Data with Multimodal Foundation Models: Strategies, Evaluation, and Benchmarking
The Shape of RemiXXXes to Come: Audio Texture Synthesis with Time-frequency Scattering
Advances in Automated Fetal Brain MRI Segmentation and Biometry: Insights from the FeTA 2024 Challenge
Approximating the Maximum Number of Synchronizing States in Automata
Harpocrates: A Statically Typed Privacy Conscious Programming Framework
TextHawk: Exploring Efficient Fine-Grained Perception of Multimodal Large Language Models
On the Assessment of Benchmark Suites for Algorithm Comparison
Efficient Global Optimization of Non-differentiable, Symmetric Objectives for Multi Camera Placement
Control software analysis, Part I Open-loop properties
Generating Code with Polymorphic let: A Ballad of Value Restriction, Copying and Sharing
Suppressing Modulation Instability with Reinforcement Learning
SAWNet: A Spatially Aware Deep Neural Network for 3D Point Cloud Processing
HardTests: Synthesizing High-Quality Test Cases for LLM Coding
Comparative Analysis of Shear Strength Prediction Models for Reinforced Concrete Slab-Column Connections
TheoremQA: A Theorem-driven Question Answering dataset
φ-FEM: an efficient simulation tool using simple meshes for problems in structure mechanics and heat transfer
CAFusion: Controllable Anatomical Synthesis of Perirectal Lymph Nodes via SDF-guided Diffusion
Reading Between the Lines: A Study of Thematic Bias in Book Recommender Systems
Toward Training Superintelligent Software Agents through Self-Play SWE-RL
Cellular automata, many-valued logic, and deep neural networks
CLOTHO: Directed Test Generation for Weakly Consistent Database Systems
Predictive Compensation in Finite-Horizon LQ Games under Gauss-Markov Deviations
Improvement Of Barreto-Voloch Algorithm For Computing $r$th Roots Over Finite Fields
Translating C programs to MSVL programs
Flexible Heteroscedastic Count Regression with Deep Double Poisson Networks
Whittle Indexability in Egalitarian Processor Sharing Systems
Program Synthesis Through Reinforcement Learning Guided Tree Search
Data-Driven Calibration of Prediction Sets in Large Vision-Language Models Based on Inductive Conformal Prediction
What Kinds of Functions do Deep Neural Networks Learn? Insights from Variational Spline Theory
The Capacity of Online (Causal) $q$-ary Error-Erasure Channels
Regularized GLISp for sensor-guided human-in-the-loop optimization
NeuRoute: Predictive Dynamic Routing for Software-Defined Networks
MQG4AI Towards Responsible High-risk AI - Illustrated for Transparency Focusing on Explainability Techniques
Kernel Robust Bias-Aware Prediction under Covariate Shift
JSTprove: Pioneering Verifiable AI for a Trustless Future
CrowdAgent: Multi-Agent Managed Multi-Source Annotation System
A thickness-aware Allen-Cahn equation for the mean curvature flow of thin structures
mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding
Skew Constacyclic Codes over Finite Chain Rings
Ultra-Fast Shapelets for Time Series Classification
Synthetic Patient-Physician Dialogue Generation from Clinical Notes Using LLM
Transferred Fusion Learning using Skipped Networks
An alternating approach for reconstructing the initial value and source term in a time-fractional diffusion-wave equation
Cortical Surface Co-Registration based on MRI Images and Photos
Closed-Form Interpretation of Neural Network Latent Spaces with Symbolic Gradients
RSR-NF: Neural Field Regularization by Static Restoration Priors for Dynamic Imaging
Graph Neural Networks for Treatment Effect Prediction
Physical-Layer Security of a Buffer-Aided Full-Duplex Relaying~System
Topology of deep neural networks
Local Modules in Imperative Languages
Hawkes-modeled telecommunication patterns reveal relationship dynamics and personality traits
On Adversarial Vulnerability of PHM algorithms: An Initial Study
On Column Selection in Approximate Kernel Canonical Correlation Analysis
A Mathematical Model of Hybrid Microgrid With Pole Placement Controller Using State Feedback For Stability Improvement
Spontaneous Spatial Cognition Emerges during Egocentric Video Viewing through Non-invasive BCI
DISPROTBENCH: A Disorder-Aware, Task-Rich Benchmark for Evaluating Protein Structure Prediction in Realistic Biological Contexts
Deep Smoke Segmentation
Parallel iterative methods for variational integration applied to navigation problems
A discrete Weber inequality on three-dimensional hybrid spaces with application to the HHO approximation of magnetostatics
The Good, the Bad and the Ugly: Pitfalls and Best Practices in Automated Sound Static Analysis of Ethereum Smart Contracts
We Do Not Understand What It Says - Studying Student Perceptions of Software Modelling
Learning from demonstrations: An intuitive VR environment for imitation learning of construction robots
Listing All Maximal Cliques in Sparse Graphs in Near-optimal Time
HULFSynth : An INR based Super-Resolution and Ultra Low-Field MRI Synthesis via Contrast factor estimation
CAFE A Novel Code switching Dataset for Algerian Dialect French and English
The Random Buffer Tree : A Randomized Technique for I/O-efficient Algorithms
Inverse Star, Borders, and Palstars
PRISM: Privacy-Aware Routing for Adaptive Cloud-Edge LLM Inference via Semantic Sketch Collaboration
Graph-Based Lossless Markov Lumpings
Calling The Dead: Resilience In The WTC Communication Networks
Listening to the cohomology of graphs
Unsupervised Cross-lingual Image Captioning
Clustering Categorical Data Streams
Transformer-based Clipped Contrastive Quantization Learning for Unsupervised Image Retrieval
A Systematic Approach to Robustness Modelling for Deep Convolutional Neural Networks
Biasing & Debiasing based Approach Towards Fair Knowledge Transfer for Equitable Skin Analysis
HumorPlanSearch: Structured Planning and HuCoT for Contextual AI Humor
An Overview on Audio, Signal, Speech, & Language Processing for COVID-19
Parallel matrix-free higher-order finite element solvers for phase-field fracture problems
Pseudorandomness in Central Force Optimization
OpenPBR: Novel Features and Implementation Details
Nonparametric approximation of conditional expectation operators
Domain-Adaptive Learning: Unsupervised Adaptation for Histology Images with Improved Loss Function Combination
Strategies and payoffs in quantum minority games
Clustering Markov Decision Processes For Continual Transfer
Mining The Data From Distributed Database Using An Improved Mining Algorithm
A Framework for Estimating Long Term Driver Behavior
Orders-of-coupling representation with a single neural network with optimal neuron activation functions and without nonlinear parameter optimization
Solution of DeBERTaV3 on CommonsenseQA
Numerical integrating of highly oscillating functions: effective stable algorithms in case of linear phase