yusuke1997/dblp-id-title huggingface dataset:
Objectives Are All You Need: Solving Deceptive Problems Without Explicit Diversity Maintenance
DHoTT: A Temporal Extension of Homotopy Type Theory for Semantic Drift
Deep Learning for Day Forecasts from Sparse Observations
E-Crime Legal Brief: A Case Study on Talk Talk Hacking
The Innovation Null Space of the Kalman Predictor: A Stochastic Perspective for DeePC
Leveraging Data Mining Algorithms to Recommend Source Code Changes
Utilisation of open intent recognition models for customer support intent detection
A chain dictionary method for Word Sense Disambiguation and applications
Maximizing Alignment with Minimal Feedback: Efficiently Learning Rewards for Visuomotor Robot Policy Alignment
Low-rank Characteristic Tensor Density Estimation Part II: Compression and Latent Density Estimation
Time-Symmetric Physics: A Radical Approach to the Decoherence Problem
Do not Choose Representation just Change: An Experimental Study in States based EA
Analysis of Agent Expertise in Ms. Pac-Man using Value-of-Information-based Policies
Auto-selected Knowledge Adapters for Lifelong Person Re-identification
DreamCar: Leveraging Car-specific Prior for in-the-wild 3D Car Reconstruction
MS-nowcasting: Operational Precipitation Nowcasting with Convolutional LSTMs at Microsoft Weather
Compressive Sensing-Based Grant-Free Massive Access for 6G Massive Communication
Virtue Ethics For Ethically Tunable Robotic Assistants
Massive MIMO is a Reality - What is Next? Five Promising Research Directions for Antenna Arrays
WF-UNet: Weather Fusion UNet for Precipitation Nowcasting
The Response Shift Paradigm to Quantify Human Trust in AI Recommendations
A cut-invariant law of large numbers for random heaps
Asymptotic Properties of Monte Carlo Methods in Elliptic PDE-Constrained Optimization under Uncertainty
Decomposable Theories
Dynamic Decremental Approximate Distance Oracles with (1+ε, 2) stretch
Why "AI" Models for Predicting Soil Liquefaction have been Ignored, Plus Some that Shouldn't Be
DrivePI: Spatial-aware 4D MLLM for Unified Autonomous Driving Understanding, Perception, Prediction and Planning
Enhanced Playback of Automated Service Emulation Models Using Entropy Analysis
From Image to UML: First Results of Image Based UML Diagram Generation Using LLMs
Efficient Decentralized LTL Monitoring Framework Using Tableau Approach
A Symbolic Approach to Boundary Problems for Linear Partial Differential Equations: Applications to the Completely Reducible Case of the Cauchy Problem with Constant Coefficients
FP4 All the Way: Fully Quantized Training of LLMs
How Far Can LLMs Improve from Experience? Measuring Test-Time Learning Ability in LLMs with Human Comparison
FineCIR: Explicit Parsing of Fine-Grained Modification Semantics for Composed Image Retrieval
CATFace: Cross-Attribute-Guided Transformer with Self-Attention Distillation for Low-Quality Face Recognition
Computation Rate Maximization in UAV-Enabled Wireless Powered Mobile-Edge Computing Systems
Routing heterogeneous traffic in delay tolerant satellite networks
DER-GCN: Dialogue and Event Relation-Aware Graph Convolutional Neural Network for Multimodal Dialogue Emotion Recognition
Multi-task Domain Adaptation for Computation Offloading in Edge-intelligence Networks
Predicting Intensive Care Unit Length of Stay and Mortality Using Patient Vital Signs: Machine Learning Model Development and Validation
Proximal Multitask Learning over Networks with Sparsity-inducing Coregularization
How Well Do Feature-Additive Explainers Explain Feature-Additive Predictors?
Power Control and Scheduling In Low SNR Region In The Uplink of Two Cell Networks
Upper Bound of Real Log Canonical Threshold of Tensor Decomposition and its Application to Bayesian Inference
Learning to Walk in Every Direction
B-line Detection in Lung Ultrasound Videos: Cartesian vs Polar Representation
A Systematic Approach to Web-Application Development
FLAME-in-NeRF : Neural control of Radiance Fields for Free View Face Animation
All You Need Is Hashing: Defending Against Data Reconstruction Attack in Vertical Federated Learning
The key to the enhanced performance of slab-like topologically interlocked structures with non-planar blocks
Languages Still Left Behind: Toward a Better Multilingual Machine Translation Benchmark
Attention Guided Cosine Margin For Overcoming Class-Imbalance in Few-Shot Road Object Detection
A gradient-compression-based compact high-order gas-kinetic scheme on three-dimensional hybrid unstructured mesh
GenCeption: Evaluate Multimodal LLMs with Unlabeled Unimodal Data
Massive MIMO for Internet of Things (IoT) Connectivity
Effective Complexity and its Relation to Logical Depth
HDLCopilot: Hardware Design Library Querying with Natural Language
TCM-NOMA: Joint Multi-user Codeword Design and Detection in Trellis Coded Modulation based NOMA for Beyond 5G
Automated generation of web server fingerprints
Governing equation discovery of a complex system from snapshots
Balancing Fairness and Accuracy in Sentiment Detection using Multiple Black Box Models
Improving Company Valuations with Automated Knowledge Discovery, Extraction and Fusion
Inferring Human Intentions from Predicted Action Probabilities
Hypergame Rationalisability: Solving Agent Misalignment In Strategic Play
Using Tableau to Decide Description Logics with Full Role Negation and Identity
Accelerated Gradient-based Design Optimization Via Differentiable Physics-Informed Neural Operator: A Composites Autoclave Processing Case Study
Exploring Safety Alignment Evaluation of LLMs in Chinese Mental Health Dialogues via LLM-as-Judge
Algorithms for Generating Convex Sets in Acyclic Digraphs
Psychometric Alignment: Capturing Human Knowledge Distributions via Language Models
Complexity and algorithms for Arc-Kayles and Non-Disconnecting Arc-Kayles
Image-Based Metrics in Ultrasound for Estimation of Global Speed-of-Sound
An efficient heuristic for approximate maximum flow computations
Fair Allocation with Money: What is Your Objective?
Structure Exploiting Interior Point Methods
Concave connection cost Facility Location and the Star Inventory Routing problem
Graph-Theoretical Based Algorithms for Structural Optimization
A Survey and Measurement Study of GPU DVFS on Energy Conservation
A novel Region of Interest Extraction Layer for Instance Segmentation
Event-Driven Digital-Time-Domain Inference Architectures for Tsetlin Machines
Proof of Travel for Trust-Based Data Validation in V2I Communication Part I: Methodology
Infra-Red, In-Situ (IRIS) Inspection of Silicon
Towards Accelerating Training of Batch Normalization: A Manifold Perspective
Reduced Focal Loss: 1st Place Solution to xView object detection in Satellite Imagery
A Few Shot Multi-Representation Approach for N-gram Spotting in Historical Manuscripts
On Mitigating Data Sparsity in Conversational Recommender Systems
Comparison of Different Methods for Tissue Segmentation in Histopathological Whole-Slide Images
A note on practical approximate projection schemes in signal space methods
Nonadaptive Output Regulation of Second-Order Nonlinear Uncertain Systems
Going Deeper into Semi-supervised Person Re-identification
Ologs: a categorical framework for knowledge representation
About penalty-duality methods in fluid-structure interactions
Locally Interpretable Model Agnostic Explanations using Gaussian Processes
Automatic Data Deformation Analysis on Evolving Folksonomy Driven Environment
Input-output linearization and decoupling of mechanical control systems
Reconfigurable Intelligent Surface: MIMO or radiating sheet?
Edge shape sensation presented in a noncontact manner using airborne ultrasound
Knowledge Graphs as World Models for Semantic Material-Aware Obstacle Handling in Autonomous Vehicles
A Multimodal Graph Neural Network Framework for Cancer Molecular Subtype Classification
P-CFT: A Privacy-preserving and Crash Fault Tolerant Consensus Algorithm for Permissioned Blockchains
Headline Generation: Learning from Decomposed Document Titles
Learning from the past: predicting critical transitions with machine learning trained on surrogates of historical data
Align-Free Multi-Plane Phase Retrieval
On the Identifiability of Markov Switching Models
Evaluating Progress in Web3 Grants: Introducing the Grant Maturity Index
On profitability of selfish mining
DIV-Nav: Open-Vocabulary Spatial Relationships for Multi-Object Navigation
Recipes for building an open-domain chatbot
Universality in halting time and its applications in optimization
GKAN: Explainable Diagnosis of Alzheimer's Disease Using Graph Neural Network with Kolmogorov-Arnold Networks
IoT-LLM: Enhancing Real-World IoT Task Reasoning with Large Language Models
Distributed Path Planning for Executing Cooperative Tasks with Time Windows
Team AcieLee: Technical Report for EPIC-SOUNDS Audio-Based Interaction Recognition Challenge 2023
The Implementation of Arduino Microcontroller Boards in Science: A Bibliometric Analysis from 2008 to 2022
ArchitectHead: Continuous Level of Detail Control for 3D Gaussian Head Avatars
ABACUS: An Impairment Aware Joint Optimal Dynamic RMLSA in Elastic Optical Networks
Limits to Reservoir Learning
SafeNet: An Assistive Solution to Assess Incoming Threats for Premises
SkipNode: On Alleviating Over-smoothing for Deep Graph Convolutional Networks
Geometry-Aware Active Learning of Pattern Rankings via Choquet-Based Aggregation
A Review of Pair-wise Testing
Mining User Queries with Information Extraction Methods and Linked Data
Knowledge Graph Fusion with Large Language Models for Accurate, Explainable Manufacturing Process Planning
Idiosyncratic properties of Australian STV election counting
The Korrontea Data Modeling
Data-Driven Revenue Management for Air Cargo
Improving Brain-to-Image Reconstruction via Fine-Grained Text Bridging
Approximate Top-k Retrieval from Hidden Relations
Encoding Program as Image: Evaluating Visual Representation of Source Code
Algorithms for Tensor Network Contraction Ordering
JARVix at SemEval-2022 Task 2: It Takes One to Know One? Idiomaticity Detection using Zero and One Shot Learning
Disentangling semantics in language through VAEs and a certain architectural choice
Multi-stage Optimization based Adversarial Training
An investigation of model-free planning
Using Genetic Algorithms to Benchmark the Cloud
Functional Augmented State Transfer (FAST) Architecture for Computationally Intensive Network Applications
UniFormer: Unified Multi-view Fusion Transformer for Spatial-Temporal Representation in Bird's-Eye-View
Toward DNN of LUTs: Learning Efficient Image Restoration with Multiple Look-Up Tables
Undersampling Raster Scans in Spectromicroscopy for reduced dose and faster measurements
Fast and Robust Flocking of Protesters on Street Networks
Biased Self-supervised learning for ASR
DistrAttention: An Efficient and Flexible Self-Attention Mechanism on Modern GPUs
Multilevel Particle Filters for the Non-Linear Filtering Problem in Continuous Time
Acceleration of Subspace Learning Machine via Particle Swarm Optimization and Parallel Processing
Proceedings 11th International Workshop on Computing with Terms and Graphs, TERMGRAPH@FSCD 2020, Online, 5th July 2020
Gut-Brain Axis as a Closed-Loop Molecular Communication Network
The University of California San Francisco, Brain Metastases Stereotactic Radiosurgery (UCSF-BMSR) MRI Dataset
Large Language Models as Autonomous Spacecraft Operators in Kerbal Space Program
Improving Generalizability of Kolmogorov-Arnold Networks via Error-Correcting Output Codes
Image Specificity
BitSim: An Algebraic Similarity Measure for Description Logics Concepts
ss-Mamba: Semantic-Spline Selective State-Space Model
Multi-Task Option Learning and Discovery for Stochastic Path Planning
Full-duplex Transmitter Cooperation, Feedback, and the Degrees of Freedom of SISO Gaussian Interference and X Channels
AI can evolve without labels: self-evolving vision transformer for chest X-ray diagnosis through knowledge distillation
Edge Union of Networks on the Same Vertex Set
RoadFormer+: Delivering RGB-X Scene Parsing through Scale-Aware Information Decoupling and Advanced Heterogeneous Feature Fusion
Probabilistic Process Discovery with Stochastic Process Trees
Uncertainty-aware Contact-safe Model-based Reinforcement Learning
AINL-Eval 2025 Shared Task: Detection of AI-Generated Scientific Abstracts in Russian
Non-Verbal Vocalisations and their Challenges: Emotion, Privacy, Sparseness, and Real Life
Holomorphic feedforward networks
Structured Projection-Based Model Reduction with Application to Stochastic Biochemical Networks
An induction proof of the backpropagation algorithm in matrix notation
Data-driven quasiconformal morphodynamic flows
Learning audio and image representations with bio-inspired trainable feature extractors
Constructing a Visual Relationship Authenticity Dataset
An Ensemble Semi-Supervised Adaptive Resonance Theory Model with Explanation Capability for Pattern Classification
A surrogate model for topology optimisation of elastic structures via parametric autoencoders
Cyclical Self-Supervision for Semi-Supervised Ejection Fraction Prediction from Echocardiogram Videos
Exploiting Implicit Rigidity Constraints via Weight-Sharing Aggregation for Scene Flow Estimation from Point Clouds
Self Organizing Supply Chains for Micro-Prediction: Present and Future uses of the ROAR Protocol
Retrieval-based Text Selection for Addressing Class-Imbalanced Data in Classification
Enhancing Trust in LLM-Based AI Automation Agents: New Considerations and Future Challenges
Towards benchmarking of Solidity verification tools
Improvements and Experiments of a Compact Statistical Background Model
Demographic Differentials in Facebook Usage Around the World
Overshooting and $L^1$-Norms of a Class of Nyquist Filters
EgoHDM: An Online Egocentric-Inertial Human Motion Capture, Localization, and Dense Mapping System
Real-time thermoacoustic data assimilation
LWIRPOSE: A novel LWIR Thermal Image Dataset and Benchmark
Towards Understanding the Impact of Model Size on Differential Private Classification
Distributionally-Robust Optimization with Noisy Data for Discrete Uncertainties Using Total Variation Distance
Tracking Short-Term Temporal Linguistic Dynamics to Characterize Candidate Therapeutics for COVID-19 in the CORD-19 Corpus
Towards Verifiable Federated Unlearning: Framework, Challenges, and The Road Ahead
Human Action Recognition using Factorized Spatio-Temporal Convolutional Networks
Measuring Information Transfer in Neural Networks
Spectrum-oriented Point-supervised Saliency Detector for Hyperspectral Images
Are Tensor Decomposition Solutions Unique? On the global convergence of HOSVD and ParaFac algorithms
Face Recognition Using Scattering Convolutional Network
Opportunistic DF-AF Selection Relaying with Optimal Relay Selection in Nakagami-m Fading Environments
Scalable Hypergraph Structure Learning with Diverse Smoothness Priors
Pack-A-Mal: A Malware Analysis Framework for Open-Source Packages
RDR: the Recap, Deliberate, and Respond Method for Enhanced Language Understanding
Continual Learning of Control Primitives: Skill Discovery via Reset-Games
Align-then-Slide: A complete evaluation framework for Ultra-Long Document-Level Machine Translation
Multi-Texture GAN: Exploring the Multi-Scale Texture Translation for Brain MR Images
REST: Diffusion-based Real-time End-to-end Streaming Talking Head Generation via ID-Context Caching and Asynchronous Streaming Distillation
Decoding Large-Language Models: A Systematic Overview of Socio-Technical Impacts, Constraints, and Emerging Questions
An Urban Population Health Observatory for Disease Causal Pathway Analysis and Decision Support: Underlying Explainable Artificial Intelligence Model
SO(3)-invariant PCA with application to molecular data
Revisiting the Slip Boundary Condition: Surface Roughness as a Hidden Tuning Parameter
"Should I break up with my girlfriend? Will I find another?" Or: An Algorithm for the Forecasting of Romantic Options
Towards a Generalized Approach to Nonlocal Elasticity via Fractional-Order Mechanics
A Data-Driven Modeling and Motion Control of Heavy-Load Hydraulic Manipulators via Reversible Transformation
LEMMA: Bootstrapping High-Level Mathematical Reasoning with Learned Symbolic Abstractions
Energy-Efficient Backscatter-Assisted Coded Cooperative-NOMA for B5G Wireless Communications
Enactivism & Objectively Optimal Super-Intelligence
Generative Emergent Communication: Large Language Model is a Collective World Model
Creating Trustworthy LLMs: Dealing with Hallucinations in Healthcare AI
FairCauseSyn: Towards Causally Fair LLM-Augmented Synthetic Data Generation
Enhanced skin colour classifier using RGB Ratio model
DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution
A Robust Experimental Evaluation of Automated Multi-Label Classification Methods
A generalized strong convergence algorithm in the presence of the errors for the variational inequality problems in Hilbert spaces
A (4/3+ϵ)-Approximation for Preemptive Scheduling with Batch Setup Times
COCO-Tree: Compositional Hierarchical Concept Trees for Enhanced Reasoning in Vision Language Models
Text Condition Embedded Regression Network for Automated Dental Abutment Design
Color Multiset Codes based on Sunmao Construction
Worth of knowledge in deep learning
SpikeFit: Towards Optimal Deployment of Spiking Networks on Neuromorphic Hardware
BrainMorph: A Foundational Keypoint Model for Robust and Flexible Brain MRI Registration
LoRaWAN in the Wild: Measurements from The Things Network
A Novel Bilateral Energy Trading Mechanism for Electricity Markets with Numerous Prosumers
Measuring the tendency of CNNs to Learn Surface Statistical Regularities
Gibbs Sampling from Human Feedback: A Provable KL- constrained Framework for RLHF
Deep learning for temporal super-resolution 4D Flow MRI
LayoutCopilot: An LLM-powered Multi-agent Collaborative Framework for Interactive Analog Layout Design
Symbolic Decision Theory and Autonomous Systems
Mechanical Characterization of Compliant Cellular Robots. Part I: Passive Stiffness
DSNet: Automatic Dermoscopic Skin Lesion Segmentation
I4U System Description for NIST SRE'20 CTS Challenge
Improved unsupervised physics-informed deep learning for intravoxel-incoherent motion modeling and evaluation in pancreatic cancer patients
A unified formulation of Gaussian vs. sparse stochastic processes - Part I: Continuous-domain theory
An Analytical Overview Of Virtual Machine Load Balancing Scheduling Algorithms with their Comparative Case Study
Certificate and Signature Free Anonymity for V2V Communications
Fully Decentralized Reinforcement Learning-based Control of Photovoltaics in Distribution Grids for Joint Provision of Real and Reactive Power
Panconnectivity Algorithm for Eisenstein-Jacobi Networks
Approximating Reachable Sets for Neural Network based Models in Real-Time via Optimal Control
Transverse Wave: an impartial color-propagation game inspired by Social Influence and Quantum Nim
Improving the Results of Machine-based Entity Resolution with Limited Human Effort: A Risk Perspective
VIPaint: Image Inpainting with Pre-Trained Diffusion Models via Variational Inference
Quotient Complex Transformer (QCformer) for Perovskite Data Analysis
KwaiYiiMath: Technical Report
An Analytical Formula for Stability Sensitivity Using SDP Dual
Analyzing the Impact of Automated User Assistance Systems: A Systematic Review
Conversational AI: The Science Behind the Alexa Prize
Beyond Spatial Pyramid Matching: Space-time Extended Descriptor for Action Recognition
Scenario generation for market risk models using generative neural networks
CCDepth: A Lightweight Self-supervised Depth Estimation Network with Enhanced Interpretability
Khmer Spellchecking: A Holistic Approach
VOUTE-Virtual Overlays Using Tree Embeddings
BSE: A Minimal Simulation of a Limit-Order-Book Stock Exchange
Weakly supervised collective feature learning from curated media
The Control Toolbox - An Open-Source C++ Library for Robotics, Optimal and Model Predictive Control
Simulating extrapolated dynamics with parameterization networks
Adaptive Multicarrier Quadrature Division Modulation for Continuous-Variable Quantum Key Distribution
CFTrack: Enhancing Lightweight Visual Tracking through Contrastive Learning and Feature Matching
Inference with Aggregate Data: An Optimal Transport Approach
Citation-Grounded Code Comprehension: Preventing LLM Hallucination Through Hybrid Retrieval and Graph-Augmented Context
A Model for Probabilistic Reasoning on Assume/Guarantee Contracts
MIOV: Reordering MOVI for even better locality
DisC-Diff: Disentangled Conditional Diffusion Model for Multi-Contrast MRI Super-Resolution
Long-Term Ensemble Learning of Visual Place Classifiers
How Far Do Time Series Foundation Models Paint the Landscape of Real-World Benchmarks ?
Advanced Scaling Methods for VNF deployment with Reinforcement Learning
A Modal Logic for Explaining some Graph Neural Networks
Analysis of Computer Hardware Affecting Video Transmission via IEEE 1394a connection
Optimal Microcontroller Usage in Reconfigurable Intelligent Surface: Batteryless IoT Systems Case Study
Improving fit to human reading times via temperature-scaled surprisal
Discovering New Intents Using Latent Variables
FedMeS: Personalized Federated Continual Learning Leveraging Local Memory
Model-Based Testing, Using Belief-Desire-Intentions Agents, of Control Code for Robots in Collaborative Human-Robot Interactions
Misalignment or misuse? The AGI alignment tradeoff
Incremental Maintenance of Regression Models over Joins
Robust decentralised proof-of-position algorithms for smart city applications
Instructions for Temporal Annotation of Scheduling Dialogs
Multi-Robot Multi-Room Exploration with Geometric Cue Extraction and Spherical Decomposition
SolarPanel Segmentation : Self-Supervised Learning for Imperfect Datasets
In-Context Learning with Noisy Labels
DeFacto: Counterfactual Thinking with Images for Enforcing Evidence-Grounded and Faithful Reasoning
Separating Answers from Queries for Neural Reading Comprehension
Descriptive AI Ethics: Collecting and Understanding the Public Opinion
Predicting Responses to a Robot's Future Motion using Generative Recurrent Neural Networks
Towards Fast Displaced Vertex Finding
Quantum-over-classical Advantage in Solving Multiplayer Games
Geometry-Aware Score Distillation via 3D Consistent Noising and Gradient Consistency Modeling
Dynamic Channel Allocation for Interference Mitigation in Relay-assisted Wireless Body Networks
General Auction Mechanism for Search Advertising
Fine-Tuning Vision-Language Model for Automated Engineering Drawing Information Extraction
Towards Understanding the Importance of Noise in Training Neural Networks
Macformer: Transformer with Random Maclaurin Feature Attention
Integrated, reliable and cloud-based personal health record: A scoping review
Fair Few-shot Learning with Auxiliary Sets
Exploring Upper-6GHz and mmWave in Real-World 5G Networks: A Direct on-Field Comparison
NPLMV-PS: Neural Point-Light Multi-View Photometric Stereo
Interactive Program Synthesis
The complexity of admissible rules of Lukasiewicz logic
Symmetrization maps and minimal border rank Comon's conjecture
FloorplanMAE:A self-supervised framework for complete floorplan generation from partial inputs
The Conflict Graph Design: Estimating Causal Effects under Arbitrary Neighborhood Interference
From implicit learning to explicit representations
Are Large Random Graphs Always Safe to Hide?
Can ciliates compute evolutionary distance?
Data-driven Meta-set Based Fine-Grained Visual Classification
LogoSticker: Inserting Logos into Diffusion Models for Customized Generation
A New Multiple Max-pooling Integration Module and Cross Multiscale Deconvolution Network Based on Image Semantic Segmentation
Don't Judge Code by Its Cover: Exploring Biases in LLM Judges for Code Evaluation
Uplink Power Control in Cellular Massive MIMO Systems: Coping With the Congestion Issue
Optimal Transport Classifier: Defending Against Adversarial Attacks by Regularized Deep Embedding
Characterizing Product Lifecycle in Online Marketing: Sales, Trust, Revenue, and Competition Modeling
Verified Language Processing with Hybrid Explainability: A Technical Report
Empowering Few-Shot Recommender Systems with Large Language Models - Enhanced Representations