yusuke1997/dblp-id-title huggingface dataset:
Self-Refining Training for Amortized Density Functional Theory
Application Distribution Model In Volunteer Computing Environment Using Peer-to-Peer Torrent Like Approach
Distribution-Free, Risk-Controlling Prediction Sets
A simple quantifier-free formula of positive semi-definite cyclic ternary quartic forms
A Review of Software Quality Models for the Evaluation of Software Products
Improving CNN classifiers by estimating test-time priors
MASC: Multi-scale Affinity with Sparse Convolution for 3D Instance Segmentation
Short-term Predictable Power of a Wind Farm via Distributed Control of Wind Generators with Integrated Storage
Localist LLMs - A Mathematical Framework for Dynamic Locality Control
Edit360: 2D Image Edits to 3D Assets from Any Angle
On the Limits of Distributed Quantum Computing
Performance Guarantees for Homomorphisms Beyond Markov Decision Processes
X-MeshGraphNet: Scalable Multi-Scale Graph Neural Networks for Physics Simulation
Bayesian Active Summarization
Attenuation-Aware Weighted Optical Flow with Medium Transmission Map for Learning-based Visual Odometry in Underwater terrain
User Concerns & Tradeoffs in Technology-Facilitated Contact Tracing
Heterogeneous Paxos: Technical Report
An Analysis of Large Language Models for Simulating User Responses in Surveys
AI sustains higher strategic tension than humans in chess
LimiX: Unleashing Structured-Data Modeling Capability for Generalist Intelligence
DPA on quasi delay insensitive asynchronous circuits: formalization and improvement
Hardware-Based Microgrid Coupled to Real-Time Simulated Power Grids for Evaluating New Control Strategies in Future Energy Systems
Impact-Invariant Control: Maximizing Control Authority During Impacts
A computational definition of the notion of vectorial space
Hybrid Control for Robotic Nut Tightening Task
PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding
Contracts and Behavioral Patterns for SoS: The EU IP DANSE approach
Inferring Multiple Relationships between ASes using Graph Convolutional Network
AI Copilots for Reproducibility in Science: A Case Study
A New In-Situ Combustion Simulator for Parallel Computers
Enhancing LLM Fine-tuning for Text-to-SQLs by SQL Quality Measurement
Analyzing the Performance of LRU Caches under Non-Stationary Traffic Patterns
Reasoning-Table: Exploring Reinforcement Learning for Table Reasoning
Learning Instruction-Following Policies through Open-Ended Instruction Relabeling with Large Language Models
How Does Twitter Account Moderation Work? Dynamics of Account Creation and Suspension During Major Geopolitical Events
Auditing Fairness and Imputation Impact in Predictive Analytics for Higher Education
Vulnerability of democratic electoral systems
Low SNR Asymptotic Rates of Vector Channels with One-Bit Outputs
Couple Learning: Mean Teacher method with pseudo-labels improves semi-supervised deep learning results
Self-supervised Monocular Depth Estimation with Semantic-aware Depth Features
Order Reduction of Exponential Runge-Kutta Methods: Non-Commuting Operators
Stability Analysis of Wholesale Electricity Markets under Dynamic Consumption Models and Real-Time Pricing
On the Noise Scheduling for Generating Plausible Designs with Diffusion Models
Runtime Monitoring DNN-Based Perception
The Simulated Sky: Stellarium for Cultural Astronomy Research
A Data-driven Approach for Rapid Detection of Aeroelastic Modes from Flutter Flight Test Based on Limited Sensor Measurements
Accelerated Approximation of the Complex Roots of a Univariate Polynomial (Extended Abstract)
SS-DPPN: A self-supervised dual-path foundation model for the generalizable cardiac audio representation
Curriculum Learning in Job Shop Scheduling using Reinforcement Learning
SzCORE: A Seizure Community Open-source Research Evaluation framework for the validation of EEG-based automated seizure detection algorithms
One-Click Annotation with Guided Hierarchical Object Detection
Sobolev norm inconsistency of kernel interpolation
Modularity Approach to Adaptive Inner/Outer Loop Control of Robotic Systems
Lightweight Self-Driven Deformable Organ Animations
An End-to-End Workflow using Topic Segmentation and Text Summarisation Methods for Improved Podcast Comprehension
Adversarial Transformer Language Models for Contextual Commonsense Inference
Incremental Multiple Longest Common Sub-Sequences
Geometry-Aware Coverage Path Planning on Complex 3D Surfaces
A Combined Stochastic and Physical Framework for Modeling Indoor 5G Millimeter Wave Propagation
Detecting and Measuring Security Implications of Entangled Domain Verification in CDN
From graphs to DAGs: a low-complexity model and a scalable algorithm
Data-Driven Transfer Learning Framework for Estimating Turning Movement Counts
Neural Cross-Lingual Coreference Resolution and its Application to Entity Linking
Speaker Identification from Raw Waveform with LineNet
Dense Video Captioning Using Unsupervised Semantic Information
Predicting Microbial Interactions Using Graph Neural Networks
A Gradient Estimator for Time-Varying Electrical Networks with Non-Linear Dissipation
Data-Driven Real-Time Power Dispatch for Maximizing Variable Renewable Generation
Breaking Bad Molecules: Are MLLMs Ready for Structure-Level Molecular Detoxification?
Distributed Temporal Graph Learning with Provenance for APT Detection in Supply Chains
PolyGNN: Polyhedron-based Graph Neural Network for 3D Building Reconstruction from Point Clouds
On the structure of (4K 1 , C 4 , P 6 )-free graphs
A Hybrid Deep Learning-Based State Forecasting Method for Smart Power Grids
Predicting Wave Dynamics using Deep Learning with Multistep Integration Inspired Attention and Physics-Based Loss Decomposition
Prediction is very hard, especially about conversion. Predicting user purchases from clickstream data in fashion e-commerce
Prompt-Based Length Controlled Generation with Reinforcement Learning
A sentiment analysis model for car review texts based on adversarial training and whole word mask BERT
A Generalized Placeability Metric for Model-Free Unified Pick-and-Place Reasoning
VIVID-10M: A Dataset and Baseline for Versatile and Interactive Video Local Editing
NeuralDB: Scaling Knowledge Editing in LLMs to 100,000 Facts with Neural KV Database
Exploring Large Language Models to Facilitate Variable Autonomy for Human-Robot Teaming
Provably Fair Representations
Architectural Fusion Through Contextual Partitioning in Large Language Models: A Novel Approach to Parameterized Knowledge Integration
Cayley structures and common knowledge
RIS-Empowered OTFS Modulation With Faster-than-Nyquist Signaling in High-Mobility Wireless Communications
Breast Cancer classification by adaptive weighted average ensemble of previously trained models
Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models
FABLES: Evaluating faithfulness and content selection in book-length summarization
Building Space-Time Meshes over Arbitrary Spatial Domains
Comparing LLM Text Annotation Skills: A Study on Human Rights Violations in Social Media Data
DCA for Bot Detection
Presentation of a Game Semantics for First-Order Propositional Logic
Towards Sustainable Creativity Support: An Exploratory Study on Prompt Based Image Generation
Investigating Crossing Perception in 3D Graph Visualisation
Avoiding Communication in Proximal Methods for Convex Optimization Problems
Handover Control for WCDMA Femtocell Networks
Apache VXQuery: A Scalable XQuery Implementation
A new method for flow-based network intrusion detection using inverse statistical physics
Towards General Modality Translation with Contrastive and Predictive Latent Diffusion Bridge
BeyondWeb: Lessons from Scaling Synthetic Data for Trillion-scale Pretraining
Practical Mission Planning for Optimized UAV-Sensor Wireless Recharging
An Agent-based Approach to Automated Game Testing: an Experience Report
Diving into Darkness: A Dual-Modulated Framework for High-Fidelity Super-Resolution in Ultra-Dark Environments
AnoSeg: Anomaly Segmentation Network Using Self-Supervised Learning
Reparameterization Proximal Policy Optimization
RGB-D-based Stair Detection using Deep Learning for Autonomous Stair Climbing
Scaling ML Products At Startups: A Practitioner's Guide
AI Governance InternationaL Evaluation Index (AGILE Index)
Bayesian calibration of stochastic agent based model via random forest
SECURA: Sigmoid-Enhanced CUR Decomposition with Uninterrupted Retention and Low-Rank Adaptation in Large Language Models
Feature-Based Compliance Control for Peg-in-Hole Assembly with Clearance or Interference Fit
Causal and counterfactual views of missing data models
Blockchain for Academic Credentials
Parameter Sharing in Budget-Aware Adapters for Multi-Domain Learning
Federated Learning with Classifier Shift for Class Imbalance
Two-view Graph Neural Networks for Knowledge Graph Completion
Topics Emerged in the Biomedical Field and Their Characteristics
Classification of Chest Diseases using Wavelet Transforms and Transfer Learning
Artificial optoelectronic spiking neuron based on a resonant tunnelling diode coupled to a vertical cavity surface emitting laser
Coalitional Game Theory for Communication Networks: A Tutorial
Reading Dependencies from Covariance Graphs
FP8-Flow-MoE: A Casting-Free FP8 Recipe without Double Quantization Error
Range Counting Coresets for Uncertain Data
PPGN: Phrase-Guided Proposal Generation Network For Referring Expression Comprehension
Learning Nonlinear Projections for Reduced-Order Modeling of Dynamical Systems using Constrained Autoencoders
Mathematics with large language models as provers and verifiers
Fast Posterior Estimation of Cardiac Electrophysiological Model Parameters via Bayesian Active Learning
Generative Inversion for Property-Targeted Materials Design: Application to Shape Memory Alloys
Data-Selective Online Battery Identification Using Extended Time Regular Expressions
AWE-CM Vectors: Augmenting Word Embeddings with a Clinical Metathesaurus
A Stealthy and Robust Fingerprinting Scheme for Generative Models
Trip Recovery in Lower-Limb Prostheses using Reachable Sets of Predicted Human Motion
Weight Averaging Improves Knowledge Distillation under Domain Shift
From Play to Replay: Composed Video Retrieval for Temporally Fine-Grained Videos
Embracing AI in 5G-Advanced Towards 6G: A Joint 3GPP and O-RAN Perspective
A Framework for Selection of Machine Learning Algorithms Based on Performance Metrices and Akaike Information Criteria in Healthcare, Telecommunication, and Marketing Sector
Guarding the Vertices of an Orthogonal Terrain using Vertex Guards
GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation
Sentient House: Designing for Discourse
Dataiku's Solution to SPHERE's Activity Recognition Challenge
Resolution of Difficult Pronouns Using the ROSS Method
SMARTFinRAG: Interactive Modularized Financial RAG Benchmark
ARMO: Autoregressive Rigging for Multi-Category Objects
Lagrangian Duality in Reinforcement Learning
Aerial Multi-View Stereo via Adaptive Depth Range Inference and Normal Cues
MolCAP: Molecular Chemical reActivity pretraining and prompted-finetuning enhanced molecular representation learning
Image Segmentation via Variational Model Based Tailored UNet: A Deep Variational Framework
Happy People - Image Synthesis as Black-Box Optimization Problem in the Discrete Latent Space of Deep Generative Models
Stock Movement Prediction with Multimodal Stable Fusion via Gated Cross-Attention Mechanism
Beyond Mimicry: Preference Coherence in LLMs
Phase of Flight Classification in Aviation Safety using LSTM, GRU, and BiLSTM: A Case Study with ASN Dataset
Product Distribution Field Theory
Exact Determination of Optimal Weights for Fastest Distributed Consensus Algorithm in Path Network via SDP
Weed Detection in Challenging Field Conditions: A Semi-Supervised Framework for Overcoming Shadow Bias and Data Scarcity
Knowledge Refactoring for Program Induction
eDarkTrends: Harnessing Social Media Trends in Substance use disorders for Opioid Listings on Cryptomarket
Big Ramsey degrees and forbidden cycles
Information Theory of DNA Sequencing
Large network community detection by fast label propagation
I-SAFE: Instant Suspicious Activity identiFication at the Edge using Fuzzy Decision Making
How Far I'll Go: Offline Goal-Conditioned Reinforcement Learning via f-Advantage Regression
Human-Robot Red Teaming for Safety-Aware Reasoning
Integration of Renewable Generators in Synthetic Electric Grids for Dynamic Analysis
Performance Analysis of Bidirectional Relay Selection with Imperfect Channel State Information
A LoRA-Based Approach to Fine-Tuning LLMs for Educational Guidance in Resource-Constrained Settings
Assessing dengue fever risk in Costa Rica by using climate variables and machine learning techniques
Revisiting Modulated Convolutions for Visual Counting and Beyond
A new sufficient condition for sum-rate tightness in quadratic Gaussian multiterminal source coding
A Novel Statistical Diagnosis of Clinical Data
Semi-supervised emotion lexicon expansion with label propagation and specialized word embeddings
VLA-R1: Enhancing Reasoning in Vision-Language-Action Models
Spatial Spiking Neural Networks Enable Efficient and Robust Temporal Computation
FINETUNA: Fine-tuning Accelerated Molecular Simulations
Evaluation of a Grammar of French Determiners
RelaCtrl: Relevance-Guided Efficient Control for Diffusion Transformers
Stratified Topological Autonomy for Long-Range Coordination (STALC)
Measuring and Modeling Neighborhoods
Some Ideas for Improving Stock Price Prediction Based on Machine Learning
Hybrid Feature Based SLAM Prototype
C 4 -free subgraphs of high degree with geometric applications
Radon-Hurwitz Grassmannian codes
Difference of Normals as a Multi-Scale Operator in Unorganized Point Clouds
S 3 E: Self-Supervised State Estimation for Radar-Inertial System
Metrics for Bayesian Optimal Experiment Design under Model Misspecification
Revolutionaries and spies on trees and unicyclic graphs
Spreadsheet modelling for solving combinatorial problems: The vendor selection problem
Automatic cephalometric landmarks detection on frontal faces: an approach based on supervised learning techniques
Tight Mobile Byzantine Tolerant Atomic Storage
Progressively-Growing AmbientGANs For Learning Stochastic Object Models From Imaging Measurements
Scaling Computer-Use Grounding via User Interface Decomposition and Synthesis
Robust Imitation Learning for Automated Game Testing
On Measurement Disturbances in Distributed Least Squares Solvers for Linear Equations
Learning to gesticulate by observation using a deep generative approach
Branching-time model checking of one-counter processes
Exploring Coevolutionary Dynamics of Competitive Arms-Races Between Infinitely Diverse Heterogenous Adaptive Automated Trader-Agents
Stability of Influence Maximization
On the dimension of ideals in group algebras, and group codes
Congestion-Aware Path Selection for Load Balancing in AI Clusters
A survey of dimensionality reduction techniques based on random projection
ViRC: Enhancing Visual Interleaved Mathematical CoT with Reason Chunking
Test-Time Spectrum-Aware Latent Steering for Zero-Shot Generalization in Vision-Language Models
Demystifying μ
Multi-user Co-inference with Batch Processing Capable Edge Server
Area-Invariant Pedal-Like Curves Derived from the Ellipse
Fast Parallel Fixed-Parameter Algorithms via Color Coding
New Quantum Internet Applications via Verifiable One-Time Programs
Exploring a Datasets Statistical Effect Size Impact on Model Performance, and Data Sample-Size Sufficiency
Learning-based Autonomous Channel Access in the Presence of Hidden Terminals
Digitize Your Body and Action in 3-D at Over 10 FPS: Real Time Dense Voxel Reconstruction and Marker-less Motion Tracking via GPU Acceleration
Enhancing the Robustness, Efficiency, and Diversity of Differentiable Architecture Search
Query pipeline optimization for cancer patient question answering systems
HPC AI500: Representative, Repeatable and Simple HPC AI Benchmarking
GSOT3D: Towards Generic 3D Single Object Tracking in the Wild
LowResourceEval-2019: a shared task on morphological analysis for low-resource languages
CORTEX: A Cost-Sensitive Rule and Tree Extraction Method
Multi-Modal Local Sensing and Communication for Collective Underwater Systems
Air-Ground Collaborative Robots for Fire and Rescue Missions: Towards Mapping and Navigation Perspective
Measurement-based adaptation protocol with quantum reinforcement learning
Two-stage domain adapted training for better generalization in real-world image restoration and super-resolution
Lucy: Think and Reason to Solve Text-to-SQL
GAN Based Boundary Aware Classifier for Detecting Out-of-distribution Samples
Real-time Lower-body Pose Prediction from Sparse Upper-body Tracking Signals
CITING: Large Language Models Create Curriculum for Instruction Tuning
Synergizing Code Coverage and Gameplay Intent: Coverage-Aware Game Playtesting with LLM-Guided Reinforcement Learning
Geometric Graph Representations and Geometric Graph Convolutions for Deep Learning on Three-Dimensional (3D) Graphs
YM-WML: A new Yolo-based segmentation Model with Weighted Multi-class Loss for medical imaging
Mixed zonotopes: a set representation suitable for unbounded systems and its application to set-based state estimation and active fault diagnosis of descriptor systems
Signed Graph Analysis for the Interpretation of Voting Behavior
Robust Causal Discovery in Real-World Time Series with Power-Laws
The Efficiency of Pre-training with Objective Masking in Pseudo Labeling for Semi-Supervised Text Classification
Multi-Objective Software Suite of Two-Dimensional Shape Descriptors for Object-Based Image Analysis
Late-decoupled 3D Hierarchical Semantic Segmentation with Semantic Prototype Discrimination based Bi-branch Supervision
Few Shot Learning for Medical Imaging: A Comparative Analysis of Methodologies and Formal Mathematical Framework
Reversible Upper Confidence Bound Algorithm to Generate Diverse Optimized Candidates
CARMA: Enhanced Compositionality in LLMs via Advanced Regularisation and Mutual Information Alignment
Efficient barycentric point sampling on meshes
Who says like a style of Vitamin: Towards Syntax-Aware DialogueSummarization using Multi-task Learning
GODSAC*: Graph Optimized DSAC* for Robot Relocalization
MitoDetect++: A Domain-Robust Pipeline for Mitosis Detection and Atypical Subtyping
Faster OreFSDet : A Lightweight and Effective Few-shot Object Detector for Ore Images
Semi- and Weakly-Supervised Domain Generalization for Object Detection
A Differentiable Approach to Combinatorial Optimization using Dataless Neural Networks
The joint bidiagonalization of a matrix pair with inaccurate inner iterations
Automatic discovery and description of human planning strategies
Learning the Representations of Moist Convection with Convolutional Neural Networks
Semi-supervised ASR by End-to-end Self-training
Lookahead: a Far-Sighted Alternative of Magnitude-based Pruning
Data Agent: A Holistic Architecture for Orchestrating Data+AI Ecosystems
Reconfigurable Security: Edge Computing-based Framework for IoT
Approximation Algorithms for Bregman Co-clustering and Tensor Clustering
Detecting Vocal Fatigue with Neural Embeddings
A Framework for LLM-powered Design Assistants
Task-driven Self-supervised Bi-channel Networks Learning for Diagnosis of Breast Cancers with Mammography
Infrared and visible image fusion based on Multi-State Contextual Hidden Markov Model
Iterated Entropy Derivatives and Binary Entropy Inequalities
A Zero-Shot LLM Framework for Automatic Assignment Grading in Higher Education
Prisec II - A Comprehensive Model for IoT Security: Cryptographic Algorithms and Cloud Integration
Lung Infection Severity Prediction Using Transformers with Conditional TransMix Augmentation and Cross-Attention
Self-NeRF: A Self-Training Pipeline for Few-Shot Neural Radiance Fields
A Framework for Modelling, Verification and Transformation of Concurrent Imperative Programs
High-dimensional limit theorems for SGD: Momentum and Adaptive Step-sizes
Analog Codes on Graphs
YolactEdge: Real-time Instance Segmentation on the Edge (Jetson AGX Xavier: 30 FPS, RTX 2080 Ti: 170 FPS)
GatedFWA: Linear Flash Windowed Attention with Gated Associative Memory
rna2rna: Predicting lncRNA-microRNA-mRNA Interactions from Sequence with Integration of Interactome and Biological Annotation Data
FedFOR: Stateless Heterogeneous Federated Learning with First-Order Regularization
Imitation Dynamics with Payoff Shocks
HyperPg - Prototypical Gaussians on the Hypersphere for Interpretable Deep Learning
Natural Bayesian Cramér-Rao Bound with an Application to Covariance Estimation
Training and Validating a Treatment Recommender with Partial Verification Evidence
Inductive Bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters
Do players reason by forward induction in dynamic perfect information games?
Raw Instinct: Trust Your Classifiers and Skip the Conversion
Long-term continuous assessment of SRAM PUF and source of random numbers
CIMinus: Empowering Sparse DNN Workloads Modeling and Exploration on SRAM-based CIM Architectures
Exact uniform sampling over catalan structures
Mechanical Evidence for the Phylogenetic Origin of the Red Panda's False Thumb as an Adaptation to Arboreal Locomotion
One-step Majority-logic Decoding with Subspace Designs
DefenseVGAE: Defending against Adversarial Attacks on Graph Data via a Variational Graph Autoencoder
GNN-Assisted Phase Space Integration with Application to Atomistics
Automatic Summarization of Online Debates
Skew generalized quasi-cyclic codes over non-chain ring F q +vF q
Performance Estimation in Binary Classification Using Calibrated Confidence
A Hybrid Framework for Reinsurance Optimization: Integrating Generative Models and Reinforcement Learning
Function Load Balancing over Networks
Realistic Rendering of Kinetostatic Indices of Mechanisms
RADAR Imaging in the Open field At 300 MHz-3000 MHz Radio Band
Tractable Equilibrium Computation in Markov Games through Risk Aversion
A Survey of Advances in Optimization Methods for Wireless Communication System Design
Adaptive Weighted Total Variation boosted by learning techniques in few-view tomographic imaging
Fast and Provable Simultaneous Blind Super-Resolution and Demixing for Point Source Signals: Scaled Gradient Descent without Regularization
Cross-Modal Learning for Music-to-Music-Video Description Generation
Statistical CSI Based Beamforming for Reconfigurable Intelligent Surface Aided MISO Systems with Channel Correlation
E 3 Pose: Energy-Efficient Edge-assisted Multi-camera System for Multi-human 3D Pose Estimation
Performance of Image Registration Tools on High-Resolution 3D Brain Images
3D Gaussian Splatting against Moving Objects for High-Fidelity Street Scene Reconstruction
Investigating Text Shortening Strategy in BERT: Truncation vs Summarization
AIE4ML: An End-to-End Framework for Compiling Neural Networks for the Next Generation of AMD AI Engines
A Topological Approach to Meta-heuristics: Analytical Results on the BFS vs. DFS Algorithm Selection Problem
Artificial Intelligence in the Global South (AI4D): Potential and Risks
Attention-Guided Perturbation for Unsupervised Image Anomaly Detection
Bidirectional Progressive Neural Networks with Episodic Return Progress for Emergent Task Sequencing and Robotic Skill Transfer
Not All Parameters Are Created Equal: Smart Isolation Boosts Fine-Tuning Performance
Risk-aware Direct Preference Optimization under Nested Risk Measure
Modeling COVID-19 Dynamics in German States Using Physics-Informed Neural Networks
Digital almost nets
StarNet: towards weakly supervised few-shot detection and explainable few-shot classification
Speech and Speaker Recognition from Raw Waveform with SincNet
IntOPE: Off-Policy Evaluation in the Presence of Interference
Information Field Theory as Artificial Intelligence
An Attention-Based Model for Predicting Contextual Informativeness and Curriculum Learning Applications
Facilitating Bayesian Continual Learning by Natural Gradients and Stein Gradients
Persistent Hidden States and Nonlinear Transformation for Long Short-Term Memory
libcppa - Designing an Actor Semantic for C++11
Computing the Newton-step faster than Hessian accumulation
Symmetry in Shannon's Noiseless Coding Theorem