yusuke1997/dblp-id-title huggingface dataset:
Toward a Unified Framework for Debugging Gray-box Models
Future Near-Collision Prediction from Monocular Video: Feasibility, Dataset, and Challenges
MMCM: Multimodality-aware Metric using Clustering-based Modes for Probabilistic Human Motion Prediction
Parameters identification method for breast biomechanical numerical model
Location-Enhanced Authenticated Key Exchange
Exploiting Causality Signals in Medical Images: A Pilot Study with Empirical Results
Impact of counteracting vehicles on the characteristics of a smart city transport system
Analog Baseband Cancellation for Full-Duplex: An Experiment Driven Analysis
On the Convergence of Deep Learning with Differential Privacy
Multi-Sensor Slope Change Detection
An Evaluation of Change Point Detection Algorithms
Deriving Dagger Compactness
Novel View Synthesis with Gaussian Splatting: Impact on Photogrammetry Model Accuracy and Resolution
Exploring Structural Inductive Biases in Emergent Communication
Linear Bandits with Limited Adaptivity and Learning Distributional Optimal Design
Teaching DevOps in academia and industry: reflections and vision
Codes Satisfying the Chain Condition with a Poset Weights
Variable Length Embeddings
Auto-Vocabulary Segmentation for LiDAR Points
Pansharpening by convolutional neural networks in the full resolution framework
Extreme sparsification of physics-augmented neural networks for interpretable model discovery in mechanics
XAgen: An Explainability Tool for Identifying and Correcting Failures in Multi-Agent Workflows
An Approach for Spatial-temporal Traffic Modeling in Mobile Cellular Networks
Predicting Evoked Emotions in Conversations
On Formal Reasoning on the Semantics of PLC using Coq
Heterogeneous Rank Beamforming for Industrial Communications
Keyshuffling Attack for Persistent Early Code Execution in the Nintendo 3DS Secure Bootchain
Solarcast-ML: Per Node GraphCast Extension for Solar Energy Production
Computational aspects of the trace norm contraction coefficient
Assessing the Impact of Case Correction Methods on the Fairness of COVID-19 Predictive Models
The Two-Hop Curse: LLMs trained on A->B, B->C fail to learn A->C
Parallel and Distributed Simulation from Many Cores to the Public Cloud (Extended Version)
Bi-Mix: Bidirectional Mixing for Domain Adaptive Nighttime Semantic Segmentation
Doubly Robust Off-policy Evaluation for Reinforcement Learning
NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale
Conclusions from a NAIVE Bayes Operator Predicting the Medicare 2011 Transaction Data Set
CAPTURe: Evaluating Spatial Reasoning in Vision Language Models via Occluded Object Counting
A Note on "New techniques for noninteractive zero-knowledge"
Deep Model Predictive Control with Online Learning for Complex Physical Systems
Resisting Adversarial Attacks by k-Winners-Take-All
LightFAt: Mitigating Control-flow Explosion via Lightweight PMU-based Control-flow Attestation
Out-of-body Localization of Virtual Vibration Sources Using a Limited Numbers of Transducers on the Torso
Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM
BCR-Net: a neural network based on the nonstandard wavelet form
PanTS: The Pancreatic Tumor Segmentation Dataset
LLMs for Argument Mining: Detection, Extraction, and Relationship Classification of pre-defined Arguments in Online Comments
K-space Cold Diffusion: Learning to Reconstruct Accelerated MRI without Noise
On the optimal tradeoff of average service cost rate, average utility rate, and average delay for the state dependent M/M/1 queue
Autoformalization in the Era of Large Language Models: A Survey
Empaths at SemEval-2025 Task 11: Retrieval-Augmented Approach to Perceived Emotions Prediction
LMG Index: A Robust Learned Index for Multi-Dimensional Performance Balance
ModeNet: Mode Selection Network For Learned Video Coding
Towards Quantum Enigma Cipher
SRNN: Spatiotemporal Relational Neural Network for Intuitive Physics Understanding
Contrastive Explanations of Plans Through Model Restrictions
Humanoid Locomotion and Manipulation: Current Progress and Challenges in Control, Planning, and Learning
R2I-Bench: Benchmarking Reasoning-Driven Text-to-Image Generation
LightMDETR: A Lightweight Approach for Low-Cost Open-Vocabulary Object Detection Training
Counterfactually Probing Language Identity in Multilingual Models
Data Set Description: Identifying the Physics Behind an Electric Motor - Data-Driven Learning of the Electrical Behavior (Part I)
AortaDiff: A Unified Multitask Diffusion Framework For Contrast-Free AAA Imaging
Cutting Some Slack for SGD with Adaptive Polyak Stepsizes
Post Quantum Secure Blockchain-based Federated Learning for Mobile Edge Computing
Level set based particle filter driven by optical flow: an application to track the salt boundary from X-ray CT time-series
Plan To Predict: Learning an Uncertainty-Foreseeing Model for Model-Based Reinforcement Learning
Systemic Risks of Interacting AI
Learning Positional Attention for Sequential Recommendation
Efficient Masked Autoencoders with Self-Consistency
CBP: Backpropagation with constraint on weight precision using a pseudo-Lagrange multiplier method
A Frame-based Attention Interpretation Method for Relevant Acoustic Feature Extraction in Long Speech Depression Detection
Unifying supervised learning and VAEs - automating statistical inference in high-energy physics
Gosper's algorithm and Bell numbers
Causal Explanations for Image Classifiers
Reflecting on the State of Rehearsal-free Continual Learning with Pretrained Models
SN-Engine, a Scale-free Geometric Modelling Environment
Metacognition-Enhanced Few-Shot Prompting With Positive Reinforcement
Transient Concepts in Streaming Graphs
A method for nose-tip based 3D face registration using maximum intensity algorithm
BOIS: Bayesian Optimization of Interconnected Systems
Intensive Preprocessing of KDD Cup 99 for Network Intrusion Classification Using Machine Learning Techniques
CHORUS: Zero-shot Hierarchical Retrieval and Orchestration for Generating Linear Programming Code
Solution of General Fuzzy Linear Systems
Knowledge-Aware Multi-Intent Contrastive Learning for Multi-Behavior Recommendation
Equivariant Hamiltonian Flows
A numerical approach for the filtered generalized Cech complex
Tie Strength in Online Social Networks and its Applications: A Brief Study
Manifold Learning for Personalized and Label-Free Detection of Cardiac Arrhythmias
Generator kodow liniowych o skonczonych charakterystykach
Weighted quadrature for hierarchical B-splines
Restricted Conformal Property of Compressive Sensing
Resilient Microgrid Formation Considering Communication Interruptions
On the Fundamental Limits of Formally (Dis)Proving Robustness in Proof-of-Learning
DR-VIDAL - Doubly Robust Variational Information-theoretic Deep Adversarial Learning for Counterfactual Prediction and Treatment Effect Estimation on Real World Data
Diff-PCR: Diffusion-Based Correspondence Searching in Doubly Stochastic Matrix Space for Point Cloud Registration
Enhancing Cluster Quality of Numerical Datasets with Domain Ontology
Review Learning: Advancing All-in-One Ultra-High-Definition Image Restoration Training Method
Learning pure quantum states (almost) without regret
Satisfiability of Context-free String Constraints with Subword-ordering and Transducers
Data-Driven Soil Organic Carbon Sampling: Integrating Spectral Clustering with Conditioned Latin Hypercube Optimization
An Empirical Analysis of the Shift and Scale Parameters in BatchNorm
Data Mining with Big Data in Intrusion Detection Systems: A Systematic Literature Review
Benchmarking Robot Manipulation with the Rubik's Cube
Skill-Critic: Refining Learned Skills for Reinforcement Learning
BPCMont: Business Process Change Management Ontology
Workload-Aware Systems and Interfaces for Cognitive Augmentation
Exploring RNN-Transducer for Chinese Speech Recognition
MIMO Detection Algorithms for High Data Rate Wireless Transmission
Automatic Generation of Interpretable Lung Cancer Scoring Models from Chest X-Ray Images
Differential privacy and noisy confidentiality concepts for European population statistics
A BlueROV2-based platform for underwater mapping experiments
FAN-Net: Fourier-Based Adaptive Normalization For Cross-Domain Stroke Lesion Segmentation
Red-Team Multi-Agent Reinforcement Learning for Emergency Braking Scenario
Quantification and Minimization of Crosstalk Sensitivity in Networks
AdaFuse: Adaptive Medical Image Fusion Based on Spatial-Frequential Cross Attention
Seam Puckering Objective Evaluation Method for Sewing Process
MS-IQA: A Multi-Scale Feature Fusion Network for PET/CT Image Quality Assessment
Finding Meaningful Distributions of ML Black-boxes under Forensic Investigation
Mixed Distillation Helps Smaller Language Model Better Reasoning
Learning Spatio-Temporal Feature Representations for Video-Based Gaze Estimation
Optimal Mechanism Design with Risk-loving Agents
Finding Small Satisfying Assignments Faster Than Brute Force: A Fine-grained Perspective into Boolean Constraint Satisfaction
The Vendiscope: An Algorithmic Microscope For Data Collections
Spatial Pyramid Convolutional Neural Network for Social Event Detection in Static Image
HTN Planning Domain for Deployment of Cloud Applications
CSI2Vec: Towards a Universal CSI Feature Representation for Positioning and Channel Charting
Propose, Solve, Verify: Self-Play Through Formal Verification
SpecFuse: Ensembling Large Language Models via Next-Segment Prediction
Decentralization in Open Quorum Systems
SilverTorch: A Unified Model-based System to Democratize Large-Scale Recommendation on GPUs
Event-based Vision: A Survey
Node-based Service-Balanced Scheduling for Provably Guaranteed Throughput and Evacuation Time Performance
Emergent Coordinated Behaviors in Networked LLM Agents: Modeling the Strategic Dynamics of Information Operations
On a Non-Context-Free Extension of PDL
Gradient Agreement as an Optimization Objective for Meta-Learning
Differentially Private Distribution Release of Gaussian Mixture Models via KL-Divergence Minimization
Hyperspectral Unmixing via Nonnegative Matrix Factorization with Handcrafted and Learnt Priors
A Federated F-score Based Ensemble Model for Automatic Rule Extraction
GraphPiece: Efficiently Generating High-Quality Molecular Graph with Substructures
Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques and Tools
AST-GIN: Attribute-Augmented Spatial-Temporal Graph Informer Network for Electric Vehicle Charging Station Availability Forecasting
Immersive In Situ Visualizations for Monitoring Architectural-Scale Multiuser MR Experiences
Learning Reduced-Order Models for Cardiovascular Simulations with Graph Neural Networks
Joint Synthesis of Safety Certificate and Safe Control Policy using Constrained Reinforcement Learning
Computational Co-Design for Variable Geometry Truss
A Unified GAN Framework Regarding Manifold Alignment for Remote Sensing Images Generation
CHESTNUT: A QoS Dataset for Mobile Edge Environments
Geometric Partitioning and Ordering Strategies for Task Mapping on Parallel Computers
Probabilistic and Non-Monotonic Inference
Robust High-dimensional Memory-augmented Neural Networks
Set families: restricted distances via restricted intersections
Reinforcement Learning In Two Player Zero Sum Simultaneous Action Games
Reinforcement Learning of Action and Query Policies with LTL Instructions under Uncertain Event Detector
Cooperative Advisory Residual Policies for Congestion Mitigation
Eco-Mobility-on-Demand Fleet Control with Ride-Sharing
Trained Uniform Quantization for Accurate and Efficient Neural Network Inference on Fixed-Point Hardware
Deep Neural Networks motivated by Partial Differential Equations
PotholeGuard: A Pothole Detection Approach by Point Cloud Semantic Segmentation
DSperse: A Framework for Targeted Verification in Zero-Knowledge Machine Learning
3N-GAN: Semi-Supervised Classification of X-Ray Images with a 3-Player Adversarial Framework
Visibility-Monotonic Polygon Deflation
Source Broadcasting to the Masses: Separation has a Bounded Loss
4D Radar Ground Truth Augmentation with LiDAR-to-4D Radar Data Synthesis
Supervised Learning with Evolving Tasks and Performance Guarantees
Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations
BronchoGAN: Anatomically consistent and domain-agnostic image-to-image translation for video bronchoscopy
Bridging Domain Gaps in Agricultural Image Analysis: A Comprehensive Review From Shallow Adaptation to Deep Learning
Enhancing stroke disease classification through machine learning models via a novel voting system by feature selection techniques
Personalized Context-aware Re-ranking for E-commerce Recommender Systems
Diversity Analysis of Millimeter-Wave Massive MIMO Systems
CODES: Benchmarking Coupled ODE Surrogates
CycleTransGAN-EVC: A CycleGAN-based Emotional Voice Conversion Model with Transformer
Nailed It: Autonomous Roofing with a Nailgun-Equipped Octocopter
On-Off Pattern Encoding and Path-Count Encoding as Deep Neural Network Representations
Does Federated Learning Really Need Backpropagation?
Non-Minimal Systems with Switching Topology: Dynamics and Controls
Towards Understanding the Impact of Human Mobility on Police Allocation
Valid Inequalities for Mixed Integer Bilevel Linear Optimization Problems
Deep Learning for Stress Field Prediction Using Convolutional Neural Networks
Reduction Semantics in Markovian Process Algebra
Decoding Working-Memory Load During n-Back Task Performance from High Channel NIRS Data
NPU-BOLT: A Dataset for Bolt Object Detection in Natural Scene Images
Hierarchical Lowrank Arithmetic with Binary Compression
Hardness of approximation for H-free edge modification problems
OmniScientist: Toward a Co-evolving Ecosystem of Human and AI Scientists
Polynomial Chaos Expansions on Principal Geodesic Grassmannian Submanifolds for Surrogate Modeling and Uncertainty Quantification
Optimal Placement of Transmissive RIS in the Near Field for Capacity Maximization in THz Communications
Learning the Frequency Dynamics of the Power System Using Higher-order Dynamic Mode Decomposition
Managing Risks from Large Digital Loads Using Coordinated Grid-Forming Storage Network
LANE: Logic Alignment of Non-tuning Large Language Models and Online Recommendation Systems for Explainable Reason Generation
Extensions of the Algorithmic Lovasz Local Lemma
Three Minds, One Legend: Jailbreak Large Reasoning Model with Adaptive Stacked Ciphers
Sidecoin: a snapshot mechanism for bootstrapping a blockchain
A Robust Adaptive Flux Observer for a Class of Electromechanical Systems
Understanding Enthymemes in Argument Maps: Bridging Argument Mining and Logic-based Argumentation
Multi-Level Sequence GAN for Group Activity Recognition
Event-Triggered Observers and Observer-Based Controllers for a Class of Nonlinear Systems
Detection Performance of M-ary Relay Trees with Non-binary Message Alphabets
Statistical Challenges with Dataset Construction: Why You Will Never Have Enough Images
Equi-isoclinic subspaces from symmetry
Propositional Logics Complexity and the Sub-Formula Property
S-curve networks and a new method for estimating degree distributions of complex networks
Morphology-Aware Graph Reinforcement Learning for Tensegrity Robot Locomotion
Input-gated Bilateral Teleoperation: An Easy-to-implement Force Feedback Teleoperation Method for Low-cost Hardware
Survey of Consciousness Theory from Computational Perspective
Random-LTD: Random and Layerwise Token Dropping Brings Efficient Training for Large-scale Transformers
Optimization-based Motion Planning for Multirotor Aerial Vehicles: a Review
LMMS Reloaded: Transformer-based Sense Embeddings for Disambiguation and Beyond
Is Inverse Reinforcement Learning Harder than Standard Reinforcement Learning?
Altmetrics of "altmetrics" using Google Scholar, Twitter, Mendeley, Facebook, Google-plus, CiteULike, Blogs and Wiki
Reducing Cascading Failure Risk by Increasing Infrastructure Network Interdependency
Solsmith: Solidity Random Program Generator for Compiler Testing
Infighting in the Dark: Multi-Labels Backdoor Attack in Federated Learning
Science is Exploration: Computational Frontiers for Conceptual Metaphor Theory
Asymptotically Optimal Regret for Black-Box Predict-then-Optimize
A Tree Logic with Graded Paths and Nominals
Mixed-Variable Global Sensitivity Analysis For Knowledge Discovery And Efficient Combinatorial Materials Design
Transferable Energy Storage Bidder
Illuminating Networks: Enhancing Visible Light Communication with Physical-Layer Network Coding (PNC-VLC Scheme)
Directed Acyclic Subgraph Problem Parameterized above Raman-Saurabh Bound
An In-Depth Study of Continuous Subgraph Matching (Complete Version)
Sparse Fourier Transforms on Rank-1 Lattices for the Rapid and Low-Memory Approximation of Functions of Many Variables
General Methodology for developing UML models from UI
Deterministic global optimization using space-filling curves and multiple estimates of Lipschitz and Holder constants
Parallel clustering of high-dimensional social media data streams
Categorical Proof-Theoretic Semantics
A verified abstract machine for functional coroutines
Adaptive Asymmetric Label-guided Hashing for Multimedia Search
Optimal Growth Schedules for Batch Size and Learning Rate in SGD that Reduce SFO Complexity
A note on independent sets in sparse-dense graphs
Towards a Semantics-Aware Transformation Toolchain for Heterogeneous Systems
Playing repeated games with sublinear randomness
Sketch & Project Methods for Linear Feasibility Problems: Greedy Sampling & Momentum
Antenna Selection for Large-Scale MIMO Systems with Low-Resolution ADCs
On the Evaluation and Real-World Usage Scenarios of Deep Vessel Segmentation for Funduscopy
A Cross-Frequency Protective Emblem: Protective Options for Medical Units and Wounded Soldiers in the Context of (fully) Autonomous Warfare
Gap Aware Mitigation of Gradient Staleness
Set-Membership Information Fusion for Multisensor Nonlinear Dynamic Systems
Symmetric Wasserstein Autoencoders
Measuring the environmental impact of delivering AI at Google Scale
IoT Cloud-based Distribution System State Estimation: Virtual Objects and Context-Awareness
Optimizing Multi-hop Mechanism for the Long Range Wide Area Network
Construction contract risk identification based on knowledge-augmented language model
Schauder Bases for C[0, 1] Using ReLU, Softplus and Two Sigmoidal Functions
Black-Box Opinion Manipulation Attacks to Retrieval-Augmented Generation of Large Language Models
An iBeacon based Proximity and Indoor Localization System
A low-PAPR Pilot Design and Optimization for OTFS Modulation
SymboSLAM: Semantic Map Generation in a Multi-Agent System
Scaling Causal Mediation for Complex Systems: A Framework for Root Cause Analysis
An asymptotically compatible unfitted finite element methods for nonlocal elliptic Interfaces: local limits and sharp error estimates
A quantum inspired predictor of Parkinsons disease built on a diverse, multimodal dataset
SCAFusion: A Multimodal 3D Detection Framework for Small Object Detection in Lunar Surface Exploration
No Training Wheels: Steering Vectors for Bias Correction at Inference Time
The untyped stack calculus and Bohm's theorem
Spiking Networks for Improved Cognitive Abilities of Edge Computing Devices
Compare Contact Model-based Control and Contact Model-free Learning: A Survey of Robotic Peg-in-hole Assembly Strategies
DALiuGE: A Graph Execution Framework for Harnessing the Astronomical Data Deluge
A Robotic Line Scan System with Adaptive ROI for Inspection of Defects over Convex Free-form Specular Surfaces
Context Normalization for Robust Image Classification
Consistency of Bayesian inference with Gaussian process priors in an elliptic inverse problem
A Framework for Realtime Online Auctions
Vocabulary Transfer for Medical Texts
A Bayesian Game without epsilon equilibria
Neuromorphic on-chip reservoir computing with spiking neural network architectures
The Hbot : A Holonomic Spherical Haptic Interface Driven by Non-Holonomic Wheels
Robust Asymmetric Heterogeneous Federated Learning with Corrupted Clients
Membership Inference Attacks against Machine Learning Models
A note on confluence in typed probabilistic lambda calculi
A Brief Analysis of the Iterative Next Boundary Detection Network for Tree Rings Delineation in Images of Pinus taeda
Structural Analysis of Multimode DAE Systems: summary of results
Training a Scientific Reasoning Model for Chemistry
A glocal distance for network comparison
Performance Bounds for Remote Estimation under Energy Harvesting Constraints
A Survey on Evaluation of Out-of-Distribution Generalization
FGLQR: Factor Graph Accelerator of LQR Control for Autonomous Machines
Revisiting Aggregation for Data Intensive Applications: A Performance Study
Using synthetic networks for parameter tuning in community detection
GraphMLP: A Graph MLP-Like Architecture for 3D Human Pose Estimation
Engram Memory Encoding and Retrieval: A Neurocomputational Perspective
Blockchain in the Eyes of Developers
Large language models enabled multiagent ensemble method for efficient EHR data labeling
Advancements in Gesture Recognition Techniques and Machine Learning for Enhanced Human-Robot Interaction: A Comprehensive Review
Proactive Detection and Calibration of Seasonal Advertisements with Multimodal Large Language Models
Performance Bounds for Finite Moving Average Change Detection: Application to Global Navigation Satellite Systems
FAST: Foreground-aware Diffusion with Accelerated Sampling Trajectory for Segmentation-oriented Anomaly Synthesis
Which Echo Chamber? Regions of Attraction in Learning with Decision-Dependent Distributions
Prediction against limited adversary
Maximizing Cloud Providers Revenues via Energy Aware Allocation Policies
Engineering Small Space Dictionary Matching
Estimation of Vehicular Velocity based on Non-Intrusive stereo camera
Towards AI-Native Software Engineering (SE 3.0): A Vision and a Challenge Roadmap
Improved Solutions for Multidimensional Approximate Agreement via Centroid Computation
Multigrid with rough coefficients and Multiresolution operator decomposition from Hierarchical Information Games
Alphabet Index Mapping: Jailbreaking LLMs through Semantic Dissimilarity
Transformer-based Model Predictive Control: Trajectory Optimization via Sequence Modeling
Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback
Decoupled Model Schedule for Deep Learning Training
Interleaved Group Convolutions for Deep Neural Networks
Input-Shaping for Feed-Forward Control of Cable-Driven Parallel Robots
Exponential scaling of neural algorithms - a future beyond Moore's Law?
Cannabis Impairment Monitoring Using Objective Eye Tracking Analytics
Topology Data Analysis-based Error Detection for Semantic Image Transmission with Incremental Knowledge-based HARQ
Distributed Learning with Partial Information Sharing
CPU-GPU Heterogeneous Code Acceleration of a Finite Volume Computational Fluid Dynamics Solver
MM-TTS: A Unified Framework for Multimodal, Prompt-Induced Emotional Text-to-Speech Synthesis
Low-rank Convex/Sparse Thermal Matrix Approximation for Infrared-based Diagnostic System
A thermodynamic framework for unified continuum models for the healing of damaged soft biological tissue
SSL-Net: A Synergistic Spectral and Learning-based Network for Efficient Bird Sound Classification
On the Equivalency, Substitutability, and Flexibility of Synthetic Data
DuDoUniNeXt: Dual-domain unified hybrid model for single and multi-contrast undersampled MRI reconstruction
Secure Spectrum and Resource Sharing for 5G Networks using a Blockchain-based Decentralized Trusted Computing Platform
PerfMamba: Performance Analysis and Pruning of Selective State Space Models
Model-Driven Artificial Intelligence for Online Network Optimization
Iterative Non-Local Shrinkage Algorithm for MR Image Reconstruction
Proceedings of the 7th Workshop on Mathematically Structured Functional Programming, MSFP@FSCD 2018, Oxford, UK, 8th July 2018
UAVLight: A Benchmark for Illumination-Robust 3D Reconstruction in Unmanned Aerial Vehicle (UAV) Scenes
Deep Neural Programs for Adaptive Control in Cyber-Physical Systems
BER-Based Physical Layer Security with Finite Codelength: Combining Strong Converse and Error Amplification