yusuke1997/dblp-id-title huggingface dataset:
Safe Optimal Design with Applications in Policy Learning
Optimizing for Persuasion Improves LLM Generalization: Evidence from Quality-Diversity Evolution of Debate Strategies
A Reinforcement Learning Framework for Optimizing Age-of-Information in RF-powered Communication Systems
Improving security for users of decentralized exchanges through multiparty computation
Perceive-Sample-Compress: Towards Real-Time 3D Gaussian Splatting
Improvised Comedy as a Turing Test
Lessons from the trenches on evaluating machine-learning systems in materials science
CRISP: Complex Reasoning with Interpretable Step-based Plans
Improving Neural Model Performance through Natural Language Feedback on Their Explanations
Training-free Clothing Region of Interest Self-correction for Virtual Try-On
Inter-Layer Scheduling Space Exploration for Multi-model Inference on Heterogeneous Chiplets
Ordinal Regression as Structured Classification
CountDiffusion: Text-to-Image Synthesis with Training-Free Counting-Guidance Diffusion
Domain-specific implementation of high order Discontinuous Galerkin methods in spherical geometry
Qtier-Rapor: Managing Spreadsheet Systems & Improving Corporate Performance, Compliance and Governance
Enforcing Speech Content Privacy in Environmental Sound Recordings using Segment-wise Waveform Reversal
Information-Theoretic Bounded Rationality
Numerical Optimization for Symmetric Tensor Decomposition
OpenRAN Gym: AI/ML Development, Data Collection, and Testing for O-RAN on PAWR Platforms
Classification of Deceased Patients from Non-Deceased Patients using Random Forest and Support Vector Machine Classifiers
Falsification-Driven Reinforcement Learning for Maritime Motion Planning
ExpRDiff: Short-exposure Guided Diffusion Model for Realistic Local Motion Deblurring
Cancer cytoplasm segmentation in hyperspectral cell image with data augmentation
A posteriori error estimates for mixed-dimensional Darcy flow using non-matching grids
Cross-cultural electronic word-of-mouth: a systematic literature review
Predictive Machine Learning to Increase the Throughput of Container Yards
Hierarchical Deep Fusion Framework for Multi-dimensional Facial Forgery Detection - The 2024 Global Deepfake Image Detection Challenge
New Sets of Optimal Odd-length Binary Z-Complementary Pairs
On the Confluence of Directed Graph Reductions Preserving Feedback Vertex Set Minimality
Non-Markovian Discrete Diffusion with Causal Language Models
Efficient Learning of Model Weights via Changing Features During Training
Scalability of Data Binding in ASP.NET Web Applications
The Frenet immersed finite element method for elliptic interface problems: An error analysis
GNNMerge: Merging of GNN Models Without Accessing Training Data
SuperLoc: The Key to Robust LiDAR-Inertial Localization Lies in Predicting Alignment Risks
Reciprocity in Gift-Exchange-Games
Learning and Visualizing Localized Geometric Features Using 3D-CNN: An Application to Manufacturability Analysis of Drilled Holes
Uncontrolled learning: co-design of neuromorphic hardware topology for neuromorphic algorithms
Edge Multiway Cut and Node Multiway Cut are NP-complete on subcubic graphs
Flipturning polygons
Integration of Ether Unpacker into Ragpicker for plugin-based Malware Analysis and Identification
Channel Estimation for IRS-aided Multiuser Communications with Reduced Error Propagation
Combining Textual and Structural Information for Premise Selection in Lean
Learning Provably Robust Motion Planners Using Funnel Libraries
Exploring Strategy-Proofness, Uniqueness, and Pareto Optimality for the Stable Matching Problem with Couples
Winning the Caucus Race: Continuous Leader Election via Public Randomness
CLS: Cross Labeling Supervision for Semi-Supervised Learning
In-Context Examples Matter: Improving Emotion Recognition in Conversation with Instruction Tuning
LCS Graph Kernel Based on Wasserstein Distance in Longest Common Subsequence Metric Space
InfoRL: Interpretable Reinforcement Learning using Information Maximization
Cross Corpus Speech Emotion Classification- An Effective Transfer Learning Technique
Unsupervised Learning of 3D Scene Flow from Monocular Camera
Super Resolution of Arterial Spin Labeling MR Imaging Using Unsupervised Multi-Scale Generative Adversarial Network
Covering Numbers for Deep ReLU Networks with Applications to Function Approximation and Nonparametric Regression
Systems biology beyond degree, hubs and scale-free networks: the case for multiple metrics in complex networks
ENInst: Enhancing Weakly-supervised Low-shot Instance Segmentation
Bi-fidelity Evolutionary Multiobjective Search for Adversarially Robust Deep Neural Architectures
CAD-Integrated Electrostatic Boundary Element Simulations with Non-Conforming Higher-Order Meshes
High-dimensional Analysis of Synthetic Data Selection
Sparse Matrix in Large Language Model Fine-tuning
A Novel Approach for Shot Boundary Detection in Videos
IMPACTX: Improving Model Performance by Appropriately predicting CorrecT eXplanations
Divergence Minimization Preference Optimization for Diffusion Model Alignment
Do LLMs Provide Consistent Answers to Health-Related Questions across Languages?
Translating Labels to Hypersequents for Intermediate Logics with Geometric Kripke Semantics
FORM: Fixed-Lag Odometry with Reparative Mapping utilizing Rotating LiDAR Sensors
Enhancing the Traditional Chinese Medicine Capabilities of Large Language Model through Reinforcement Learning from AI Feedback
Looking deeper into interpretable deep learning in neuroimaging: a comprehensive survey
Accelerating Inverse Reinforcement Learning with Expert Bootstrapping
Weakly-supervised Action Localization via Hierarchical Mining
Two Optimal One-Error-Correcting Codes of Length 13 That Are Not Doubly Shortened Perfect Codes
Data Bias in Human Mobility is a Universal Phenomenon but is Highly Location-specific
How to Engage Your Readers? Generating Guiding Questions to Promote Active Reading
Multi-view and Multi-modal Event Detection Utilizing Transformer-based Multi-sensor fusion
On Asymptotic Preserving schemes for a class of Stochastic Differential Equations in averaging and diffusion approximation regimes
Advancing Blockchain Scalability: An Introduction to Layer 1 and Layer 2 Solutions
On the inverse scattering problem for radially-symmetric domains in two dimensions
Generating Artificial Core Users for Interpretable Condensed Data
Discovering the Representation Bottleneck of Graph Neural Networks from Multi-order Interactions
Delaunay Hodge Star
SpiroLLM: Finetuning Pretrained LLMs to Understand Spirogram Time Series with Clinical Validation in COPD Reporting
Retrieval-Augmented Generation with Estimation of Source Reliability
Dataset Bias Mitigation Through Analysis of CNN Training Scores
A Consistent Method for Learning OOMs from Asymptotically Stationary Time Series Data Containing Missing Values
A Collection of Challenging Optimization Problems in Science, Engineering and Economics
Local Geometry of One-Hidden-Layer Neural Networks for Logistic Regression
A Study of Feature Selection and Extraction Algorithms for Cancer Subtype Prediction
DisCEdge: Distributed Context Management for Large Language Models at the Edge
Channel Modeling for Terahertz Communications in Rain
Residual Attention Single-Head Vision Transformer Network for Rolling Bearing Fault Diagnosis in Noisy Environments
A nonlinear spectral core-periphery detection method for multiplex networks
Edge-Preserving Guided Semantic Segmentation for VIPriors Challenge
How Best to Handle a Dicey Situation
French wine: Combination of multiple open data sources to mapping the expected harvest value
Distillation Robustifies Unlearning
SAM-Driven Weakly Supervised Nodule Segmentation with Uncertainty-Aware Cross Teaching
WLD-Reg: A Data-dependent Within-layer Diversity Regularizer
Disentangling sources of influence in online social networks
Efficient Genomic Interval Queries Using Augmented Range Trees
Android Tapjacking Vulnerability
Can CNNs Construct Highly Accurate Model Efficiently with Limited Training Samples?
Identification of Capture Phases in Nanopore Protein Sequencing Data Using a Deep Learning Model
Resolution in Linguistic Propositional Logic based on Linear Symmetrical Hedge Algebra
Storage Size Determination for Grid-Connected Photovoltaic Systems
Tire Slip Angle Estimation based on the Intelligent Tire Technology
Estimation of Non-Crossing Quantile Regression Process with Deep ReQU Neural Networks
Average Rate of Downlink Heterogeneous Cellular Networks over Generalized Fading Channels - A Stochastic Geometry Approach
A multi-platform collection of social media posts about the 2022 U.S. midterm elections
A Transformer with Interleaved Self-attention and Convolution for Hybrid Acoustic Models
Offloading to CXL-based Computational Memory
Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?
Explicit Min-wise Hash Families with Optimal Size
Lipschitz-based Surrogate Model for High-dimensional Computationally Expensive Problems
Automated Data Curation for Robust Language Model Fine-Tuning
Logit Arithmetic Elicits Long Reasoning Capabilities Without Training
Deep Learning for Inflexible Multi-Asset Hedging of incomplete market
QHackBench: Benchmarking Large Language Models for Quantum Code Generation Using PennyLane Hackathon Challenges
Towards Automating the AI Operations Lifecycle
Exploiting Contextual Uncertainty of Visual Data for Efficient Training of Deep Models
Colouring planar graphs with a precoloured induced cycle
Locating Multiple Ultrasound Targets in Chorus
Towards a Personal Health Large Language Model
Engineering Monosemanticity in Toy Models
Acquiring and Adapting Priors for Novel Tasks via Neural Meta-Architectures
Diversity Spectra of Spatial Multipath Fading Processes
Attack Tree Distance: a practical examination of tree difference measurement within cyber security
Covert Communications on Renewal Packet Channels
Weathering Adaptation: Grid Infrastructure Planning in a Changing Climate
A Digital Twin for Telesurgery under Intermittent Communication
Distributionally Robust Semi-Supervised Learning Over Graphs
Enhancing Sentiment Analysis in Bengali Texts: A Hybrid Approach Using Lexicon-Based Algorithm and Pretrained Language Model Bangla-BERT
An OMNeT++ based Framework for Mobility-aware Routing in Mobile Robotic Networks
Bridging Rested and Restless Bandits with Graph-Triggering: Rising and Rotting
Efficient Inference on Deep Neural Networks by Dynamic Representations and Decision Gates
Incremental Maintenance of DatalogMTL Materialisations
Lana: A Language-Capable Navigator for Instruction Following and Generation
Quadrilateral Mesh Generation II : Meromorphic Quartic Differentials and Abel-Jacobi Condition
Accelerating Vehicle Routing via AI-Initialized Genetic Algorithms
Hardware-aware Coding Function Design for Compressive Single-Photon 3D Cameras
The blockchain: a new framework for robotic swarm systems
Crank-Nicolson-type iterative decoupled algorithms for Biot's consolidation model using total pressure
Model based Multi-agent Reinforcement Learning with Tensor Decompositions
Finite-SNR Diversity-Multiplexing Tradeoff via Asymptotic Analysis of Large MIMO Systems
Energy personas in Danish households
A Deep Multi-Level Network for Saliency Prediction
Learning to Act: Novel Integration of Algorithms and Models for Epidemic Preparedness
Benchmarking, System Design and Case-studies for Multi-core based Embedded Automotive Systems
Deep Learning with Tabular Data: A Self-supervised Approach
Hard-Synth: Synthesizing Diverse Hard Samples for ASR using Zero-Shot TTS and LLM
Human-Level and Beyond: Benchmarking Large Language Models Against Clinical Pharmacists in Prescription Review
Benchmark Analysis of Various Pre-trained Deep Learning Models on ASSIRA Cats and Dogs Dataset
Semantic A-translation and Super-consistency entail Classical Cut Elimination
S 2 Contact: Graph-based Network for 3D Hand-Object Contact Estimation with Semi-Supervised Learning
VoteMate: A Decentralized Application for Scalable Electronic Voting on EVM-Based Blockchain
Chain of Correction for Full-text Speech Recognition with Large Language Models
LANTERN: learn analysis transform network for dynamic magnetic resonance imaging with small dataset
Domain-incremental White Blood Cell Classification with Privacy-aware Continual Learning
Giving AI Agents Access to Cryptocurrency and Smart Contracts Creates New Vectors of AI Harm
Quantum computing cryptography: Unveiling cryptographic Boolean functions with quantum annealing
Mutual Mobile Membranes with Timers
Technical Report: A Generalized Matching Pursuit Approach for Graph-Structured Sparsity
Boltzmann machine learning and regularization methods for inferring evolutionary fields and couplings from a multiple sequence alignment
CODE-CL: COnceptor-Based Gradient Projection for DEep Continual Learning
A Survey on Physiological Signal Based Emotion Recognition
Natural Language Parsing as Statistical Pattern Recognition
Modelling and Study of t , Peak and Effective Diameter in Temporal Networks
Swarm Algorithms for Dynamic Task Allocation in Unknown Environments
Robust Question Answering against Distribution Shifts with Test-Time Adaptation: An Empirical Study
Matching MEDLINE/PubMed Data with Web of Science (WoS): A Routine in R-language
The Matthew Effect in Computation Contests: High Difficulty May Lead to 51% Dominance
Variationally consistent mass scaling for explicit time-integration schemes of lower- and higher-order finite element methods
Multi-Organ Cancer Classification and Survival Analysis
Generalized Prager-Synge Inequality and Equilibrated Error Estimators for Discontinuous Elements
Object-Oriented Architecture: A Software Engineering-Inspired Shape Grammar for Durands Plates
VOccl3D: A Video Benchmark Dataset for 3D Human Pose and Shape Estimation under real Occlusions
A Local Approach for Identifying Clusters in Networks
Local Computation Algorithms for Coloring of Uniform Hypergraphs
SkyScript-100M: 1,000,000,000 Pairs of Scripts and Shooting Scripts for Short Drama
HeCoFuse: Cross-Modal Complementary V2X Cooperative Perception with Heterogeneous Sensors
GPU Accelerated Color Correction and Frame Warping for Real-time Video Stitching
BIOME-Bench: A Benchmark for Biomolecular Interaction Inference and Multi-Omics Pathway Mechanism Elucidation from Scientific Literature
Self-supervised Rubik's Cube Solver
Deception in Reinforced Autonomous Agents: The Unconventional Rabbit Hat Trick in Legislation
A Well-Balanced Method for an Unstaggered Central Scheme, the one-space Dimensional Case
Plausibility as Failure: How LLMs and Humans Co-Construct Epistemic Error
SemSegMap- 3D Segment-Based Semantic Localization
Interactive Storytelling for Children: A Case-study of Design and Development Considerations for Ethical Conversational AI
URBAN-i: From urban scenes to mapping slums, transport modes, and pedestrians in cities using deep learning and computer vision
Adaptive resolution of fine scales in modes of microstructured optical fibers
Better Datasets Start From RefineLab: Automatic Optimization for High-Quality Dataset Refinement
QuST: QuPath Extension for Integrative Whole Slide Image and Spatial Transcriptomics Analysis
n-hot: Efficient bit-level sparsity for powers-of-two neural network quantization
Heuristic Sensing Schemes for Four-Target Detection in Time-Constrained Vector Poisson and Gaussian Channels
Adaptive Local Steps Federated Learning with Differential Privacy Driven by Convergence Analysis
Efficient isogeometric thin shell formulations for soft biological materials
Multimodal Integrated Knowledge Transfer to Large Language Models through Preference Optimization with Biomedical Applications
Reimagining Sense Amplifiers: Harnessing Phase Transition Materials for Current and Voltage Sensing
3-coloring triangle-free planar graphs with a precolored 8-cycle
Promises and Challenges of Causality for Ethical Machine Learning
Assessing Uncertainties in X-ray Single-particle Three-dimensional reconstructions
Refining Alignment Framework for Diffusion Models with Intermediate-Step Preference Ranking
Information-Theoretic Limits for Steganography in Multimedia
Group-Node Attention for Community Evolution Prediction
Evolutionary mechanisms that promote cooperation may not promote social welfare
Open Input: A New Way for Websites to Grow
Multi-rater Prism: Learning self-calibrated medical image segmentation from multiple raters
A dual descent algorithm for node-capacitated multiflow problems and its applications
A scalable architecture for distributed receive beamforming: analysis and experimental demonstration
Stress Classification and Personalization: Getting the most out of the least
Near optimal constructions of frameproof codes
Ultrafast Grid Impedance Identification in dq-Asymmetric Three-Phase Power Systems
Physical Layer Deception with Non-Orthogonal Multiplexing
FSO-based Vertical Backhaul/Fronthaul Framework for 5G+ Wireless Networks
Parallel Extraction of Long-term Trends and Short-term Fluctuation Framework for Multivariate Time Series Forecasting
The Nordic Pile: A 1.2TB Nordic Dataset for Language Modeling
Cardinalities estimation under sliding time window by sharing HyperLogLog Counter
Physics-informed machine learning surrogate for scalable simulation of thermal histories during wire-arc directed energy deposition
Generalization by Recognizing Confusion
Piculet: Specialized Models-Guided Hallucination Decrease for MultiModal Large Language Models
Image Differential Invariants
Monotonicity in practice of adaptive testing
Generation of Standardized E-Learning Contents from Digital Medical Collections
Neural network based approach for solving problems in plane wave duct acoustics
Machine Learning Study of the Extended Drug-target Interaction Network informed by Pain Related Voltage-Gated Sodium Channels
Uncertainty-Aware Calibration of a Hot-Wire Anemometer With Gaussian Process Regression
iDLG: Improved Deep Leakage from Gradients
DDSpike: A New Parallel Sparse Linear System Solver
Rethinking Graph Transformer Architecture Design for Node Classification
Knowledge as a Teacher: Knowledge-Guided Structural Attention Networks
On Coalgebraic Many-Valued Modal Logic
Artificial Neural Networks to Recognize Speakers Division from Continuous Bengali Speech
Quadratization of Symmetric Pseudo-Boolean Functions
An efficient ant based qos aware intelligent temporally ordered routing algorithm for manets
BoschAI @ Causal News Corpus 2023: Robust Cause-Effect Span Extraction using Multi-Layer Sequence Tagging and Data Augmentation
Session Types for Link Failures (Technical Report)
The Accuracy, Robustness, and Readability of LLM-Generated Sustainability-Related Word Definitions
Neural Metric Learning for Fast End-to-End Relation Extraction
Surveillance-Evasion games under uncertainty
Developing a Multi-Modal Machine Learning Model For Predicting Performance of Automotive Hood Frames
Structural Stability of Spiking Neural Networks
Radically Compositional Cognitive Concepts
An even-load-distribution design for composite bolted joints using a novel circuit model and artificial neural networks
Memory Assignment for Finite-Memory Strategies in Adversarial Patrolling Games
A Grassmann Manifold Handbook: Basic Geometry and Computational Aspects
Ara: A 1 GHz+ Scalable and Energy-Efficient RISC-V Vector Processor with Multi-Precision Floating Point Support in 22 nm FD-SOI
FakeWatch ElectionShield: A Benchmarking Framework to Detect Fake News for Credible US Elections
Attack Allocation on Remote State Estimation in Multi-Systems: Structural Results and Asymptotic Solution
AI-HRI Brings New Dimensions to Human-Aware Design for Human-Aware AI
Neural Structure Fields with Application to Crystal Structure Autoencoders
MGS-SLAM: Monocular Sparse Tracking and Gaussian Mapping with Depth Smooth Regularization
Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models
VERT: Verified Equivalent Rust Transpilation with Few-Shot Learning
Information Estimation Using Non-Parametric Copulas
The Robustness of Structural Features in Species Interaction Networks
Predictor-Feedback Stabilization of Globally Lipschitz Nonlinear Systems with State and Input Quantization
Beyond Classroom: Making a Difference in Diversity in Tech
MDR-DeePC: Model-Inspired Distributionally Robust Data-Enabled Predictive Control
Semi-Automated & Collaborative Online Training Module For Improving Communication Skills
Reproducible Experiments for Comparing Apache Flink and Apache Spark on Public Clouds
Stability and Robustness of Time-Varying Opinion Dynamics: A Graph-Theoretic Approach
Regret Analysis of Average-Reward Unichain MDPs via an Actor-Critic Approach
QForce-RL: Quantized FPGA-Optimized Reinforcement Learning Compute Engine
Evolving Performance Practices in Beethoven's Cello Sonatas: Tempo, Portamento, and Historical Interpretation of the First Movements
Approximating Solutions to the Knapsack Problem using the Lagrangian Dual Framework
Resource-Efficient Federated Hyperdimensional Computing
Adaptive Jailbreaking Strategies Based on the Semantic Understanding Capabilities of Large Language Models
Collaborative State Fusion in Partially Known Multi-agent Environments
Feasibility of Primality in Bounded Arithmetic
Empirical Entropy, Minimax Regret and Minimax Risk
Lifted Inference in 2-Variable Markov Logic Networks with Function and Cardinality Constraints Using Discrete Fourier Transform
Lattice Studies of Gerrymandering Strategies
Active Digital Twins via Active Inference
Backscatter Measurements and Models for RF Sensing Applications in Cluttered Environments
The ground truth about metadata and community detection in networks
Federated Offline Policy Learning with Heterogeneous Observational Data
Learning Discrete Abstractions for Visual Rearrangement Tasks Using Vision-Guided Graph Coloring
Information-Centric Offloading in Cellular Networks with Coordinated Device-to-Device Communication
On the Distinction Between "Conditional Average Treatment Effects" (CATE) and "Individual Treatment Effects" (ITE) Under Ignorability Assumptions
Secure Fingerprint Alignment and Matching Protocols
Machine Learning Approaches in Agile Manufacturing with Recycled Materials for Sustainability
Large k-gons in a 1.5D Terrain
Exact partial information decompositions for Gaussian systems based on dependency constraints
Large-scale Generative Simulation Artificial Intelligence: the Next Hotspot in Generative AI
Mean Field Games and Applications: Numerical Aspects
Unsafe Probabilities and Risk Contours for Stochastic Processes using Convex Optimization
Quantum Shadow Gradient Descent for Quantum Learning
The Berkeley Single Cell Computational Microscopy (BSCCM) Dataset
Learning-based Delay Compensation for Enhanced Control of Assistive Soft Robots
CSIEC (Computer Simulator in Educational Communication): An Intelligent Web-Based Teaching System for Foreign Language Learning
Spatial Classification With Limited Observations Based On Physics-Aware Structural Constraint
Centering in-the-large: Computing referential discourse segments
A Learning-based Method for Online Adjustment of C-arm Cone-Beam CT Source Trajectories for Artifact Avoidance
EthicsMH: A Pilot Benchmark for Ethical Reasoning in Mental Health AI
Policy Manifold Search: Exploring the Manifold Hypothesis for Diversity-based Neuroevolution
Automatic 3D Reconstruction of Manifold Meshes via Delaunay Triangulation and Mesh Sweeping
Intention-driven Ego-to-Exo Video Generation
Guaranteed Reachability on Riemannian Manifolds for Unknown Nonlinear Systems
Analysis and Optimization of Wireless Multimodal Federated Learning on Modal Heterogeneity
Distributed Algorithms for Solving a Class of Convex Feasibility Problems
DialogRE^C+: An Extension of DialogRE to Investigate How Much Coreference Helps Relation Extraction in Dialogs
On the logarithmic energy of solutions to the polynomial eigenvalue problem
Recent advancements on MPC for tracking: periodic and harmonic formulations
Tipsy cop and drunken robber: a variant of the cop and robber game on graphs
Tree-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and Robust
Towards Developing Standards and Guidelines for Robot Grasping and Manipulation Pipelines in the COMPARE Ecosystem