yusuke1997/dblp-id-title huggingface dataset:
Advancing Magnetic Materials Discovery - A structure-based machine learning approach for magnetic ordering and magnetic moment prediction
On minimising automata with errors
Iterative Length-Regularized Direct Preference Optimization: A Case Study on Improving 7B Language Models to GPT-4 Level
Distributed Offline Data Reconstruction in BaBar
Numerical analysis of the large deviation regime of a kinetic equation with a nonlocal Hamilton-Jacobi limit
Automated Segmentation and Recurrence Risk Prediction of Surgically Resected Lung Tumors with Adaptive Convolutional Neural Networks
How the University Portal Inspired Changes in the Academic Assessment Culture
Student-centric Model of Learning Management System Activity and Academic Performance: from Correlation to Causation
SWE-RM: Execution-free Feedback For Software Engineering Agents
Topic Modeling Using Distributed Word Embeddings
A Biologically Motivated Finite Difference Approach for Simulating Singularly Perturbed Vertical Motion in Human Gait
Multiquadratic Sum-of-Squares Lower Bounds Imply VNC 1 ≠ VNP
Basis-Oriented Low-rank Transfer for Few-Shot and Test-Time Adaptation
Rank Projection Trees for Multilevel Neural Network Interpretation
Understanding the Interplay between Privacy and Robustness in Federated Learning
DA-TransUNet: Integrating Spatial and Channel Dual Attention with Transformer U-Net for Medical Image Segmentation
Improving Few-Shot Change Detection Visual Question Answering via Decision-Ambiguity-guided Reinforcement Fine-Tuning
EarDA: Towards Accurate and Data-Efficient Earable Activity Sensing
Some Reflections on the Task of Content Determination in the Context of Multi-Document Summarization of Evolving Events
Unlocking Exploration in RLVR: Uncertainty-aware Advantage Shaping for Deeper Reasoning
AutoFirm: Automatically Identifying Reused Libraries inside IoT Firmware at Large-Scale
A Distributed Algorithm for Training Nonlinear Kernel Machines
Quantum query complexity of edge connectivity
Critical Transitions in Public Opinion: A Case Study of American Presidential Election
Towards Energy Efficient LPWANs through Learning-based Multi-hop Routing for the Uplink
Disease Progression Timeline Estimation for Alzheimer's Disease using Discriminative Event Based Modeling
Towards Efficient Axiom Pinpointing of EL+ Ontologies
Enhancing the Performance of Multi-Agent Reinforcement Learning for Controlling HVAC Systems
SymInfer: Inferring Program Invariants using Symbolic States
Functorial Data Migration
Learning Coarse-to-Fine Pruning of Graph Convolutional Networks for Skeleton-based Recognition
Regression or Classification? New Methods to Evaluate No-Reference Picture and Video Quality Models
DepthVLA: Enhancing Vision-Language-Action Models with Depth-Aware Spatial Reasoning
Charting the Topography of the Neural Network Landscape with Thermal-Like Noise
A Deterministic Information Bottleneck Method for Clustering Mixed-Type Data
Heat Waves - a hot topic in climate change research
Distribution-aware Interactive Attention Network and Large-scale Cloud Recognition Benchmark on FY-4A Satellite Image
LLM Assertiveness can be Mechanistically Decomposed into Emotional and Logical Components
SceML - A Graphical Modeling Framework for Scenario-based Testing of Autonomous Vehicles
Towards the new XAI: A Hypothesis-Driven Approach to Decision Support Using Evidence
Avoiding Dense and Dynamic Obstacles in Enclosed Spaces: Application to Moving in a Simulated Crowd
iCost: A Novel Instance Complexity Based Cost-Sensitive Learning Framework for Imbalanced Classification
Maximum Selection and Sorting with Adversarial Comparators and an Application to Density Estimation
Finite model theory for pseudovarieties and universal algebra: preservation, definability and complexity
Meta-Regularization by Enforcing Mutual-Exclusiveness
Stem-Calyx Recognition of an Apple using Shape Descriptors
A Unified Theory of Compositionality, Modularity, and Interpretability in Markov Decision Processes
Towards a Science of Trust
BadLingual: A Novel Lingual-Backdoor Attack against Large Language Models
The Equilibrium Response of Atmospheric Machine-Learning Models to Uniform Sea Surface Temperature Warming
MRA - Proof of Concept of a Multilingual Report Annotator Web Application
Strictly Breadth-First AMR Parsing
Security analysis method for practical quantum key distribution with arbitrary encoding schemes
Are Inherently Interpretable Models More Robust? A Study In Music Emotion Recognition
The Hidden Link Between RLHF and Contrastive Learning
Equations of States in Statistical Learning for a Nonparametrizable and Regular Case
Classification-based RNN machine translation using GRUs
Drivers' Manoeuvre Modelling and Prediction for Safe HRI
Design and Optimization of OpenFOAM-based CFD Applications for Hybrid and Heterogeneous HPC Platforms
Unwieldy Object Delivery with Nonholonomic Mobile Base: A Stable Pushing Approach
Mitigating the Performance-Efficiency Tradeoff in Resilient Memory Disaggregation
Learning Stochastic Behaviour of Aggregate Data
Unsupervised Formation Matching in Highly Inflected Languages
LLM Probing with Contrastive Eigenproblems: Improving Understanding and Applicability of CCS
Building trust in digital policing: A scoping review of community policing apps
LAP-Net: Adaptive Features Sampling via Learning Action Progression for Online Action Detection
EAG-RS: A Novel Explainability-guided ROI-Selection Framework for ASD Diagnosis via Inter-regional Relation Learning
UrbanPulse: A Cross-City Deep Learning Framework for Ultra-Fine-Grained Population Transfer Prediction
Sample Complexity of Diffusion Model Training Without Empirical Risk Minimizer Access
GraphAny: A Foundation Model for Node Classification on Any Graph
Enhancing Open-Set Speaker Identification through Rapid Tuning with Speaker Reciprocal Points and Negative Sample
An Empirical Approach For Probing the Definiteness of Kernels
Possibility and Impossibility of Reliable Broadcast in the Bounded Model
Varying Horizon Learning Economic MPC With Unknown Costs of Disturbed Nonlinear Systems
Scale-free networks may not necessarily witness cooperation
Amplified Hardness of Approximation for VCG-Based Mechanisms
Understanding Blockchain Governance: Analyzing Decentralized Voting to Amend DeFi Smart Contracts
Development and Characterization of a Chest CT Atlas
Classification with unknown class conditional label noise on non-compact feature spaces
Online Data Poisoning Attack
TinyMetaFed: Efficient Federated Meta-Learning for TinyML
Hierarchical Self-Supervised Learning for Medical Image Segmentation Based on Multi-Domain Data Aggregation
BalanceBenchmark: A Survey for Multimodal Imbalance Learning
On Generalization of Adaptive Methods for Over-parameterized Linear Regression
Stability Analysis of a Nonlinear Distributed Control Framework for Current Sharing and Voltage Containment in DC Microgrids: The Fast Communication Scenario
Ark: An Open-source Python-based Framework for Robot Learning
Retail Market analysis in targeting sales based on Consumer Behaviour using Fuzzy Clustering - A Rule Based Mode
Universal Decision Models
OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization
Column Twisted Reed-Solomon Codes as MDS Codes
Lifting ℓ q -optimization thresholds
SOA-based security governance middleware
Debiasing representations by removing unwanted variation due to protected attributes
LoRa Throughput Analysis with Imperfect Spreading Factor Orthogonality
Towards General Multimodal Visual Tracking
Optimistic Rates: A Unifying Theory for Interpolation Learning and Regularization in Linear Regression
Fitting Jump Models
Personalized Recommendation Systems using Multimodal, Autonomous, Multi Agent Systems
Chasing diagrams in cryptography
Analysis of Load Balancing in Large Heterogeneous Processor Sharing Systems
Generate High-Resolution Adversarial Samples by Identifying Effective Features
Terahertz Digital Reconfigurable Metamaterial Array for Dynamic Beamforming Applications
Power Allocation in Compressed Sensing of Non-uniformly Sparse Signals
A High-Resolution, US-scale Digital Similar of Interacting Livestock, Wild Birds, and Human Ecosystems with Applications to Multi-host Epidemic Spread
Performance of externally validated machine learning models based on histopathology images for the diagnosis, classification, prognosis, or treatment outcome prediction in female breast cancer: A systematic review
Teaching Formal Methods and Discrete Mathematics
Faster-than-Nyquist Asynchronous NOMA Outperforms Synchronous NOMA
RuleReasoner: Reinforced Rule-based Reasoning via Domain-aware Dynamic Sampling
Introducing EEG Analyses to Help Personal Music Preference Prediction
Environment Modeling for Adaptive Systems: A Systematic Literature Review
Interactive Coding for Markovian Protocols
Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges
Towards Calibrated Hyper-Sphere Representation via Distribution Overlap Coefficient for Long-tailed Learning
On k -ranks of topological spaces
Wormhole Memory: A Rubik's Cube for Cross-Dialogue Retrieval
A Capability Approach to AI Ethics
Honest and Reliable Evaluation and Expert Equivalence Testing of Automated Neonatal Seizure Detection
Detecting Excessive Data Exposures in Web Server Responses with Metamorphic Fuzzing
Cardiopulmonary Resuscitation Quality Parameters from Motion Capture Data using Differential Evolution Fitting of Sinusoids
Reinforcement Learning for Graph Coloring: Understanding the Power and Limits of Non-Label Invariant Representations
Dual-level Behavioral Consistency for Inter-group and Intra-group Coordination in Multi-Agent Systems
Direct identification of continuous-time linear switched state-space models
NODE-Adapter: Neural Ordinary Differential Equations for Better Vision-Language Reasoning
Opportunistic Expert Activation: Batch-Aware Expert Routing for Faster Decode Without Retraining
Dataset Distillation as Pushforward Optimal Quantization
On the selection of the correct number of terms for profile construction: theoretical and empirical analysis
Novel and Effective CNN-Based Binarization for Historically Degraded As-built Drawing Maps
Turbulence Regression
Text Generation Beyond Discrete Token Sampling
An inverse moving point source problem in electromagnetics
An Agenda for Disinformation Research
Transfer Learning in Quantum Parametric Classifiers: An Information-Theoretic Generalization Analysis
Open-Source Tool for Evaluating Human-Generated vs. AI-Generated Medical Notes Using the PDQI-9 Framework
Histogram of Cell Types: Deep Learning for Automated Bone Marrow Cytology
Identificação automática de pichação a partir de imagens urbanas
MedBike: A Cardiac Patient Monitoring System Enhanced through Gamification
Low-rank Matrix Completion with Noisy Observations: a Quantitative Comparison
An Approach for Weakly-Supervised Deep Information Retrieval
Specification Decomposition for Reactive Synthesis (Full Version)
Universal Synthesis of Differentiably Tunable Numerical Abstract Transformers
Finding Optimal 2-Packing Sets on Arbitrary Graphs at Scale
SAMbA: Speech enhancement with Asynchronous ad-hoc Microphone Arrays
A Geometrical Interpretation of Frequency
TENET: Transformer Encoding Network for Effective Temporal Flow on Motion Prediction
3D Reconstruction in Noisy Agricultural Environments: A Bayesian Optimization Perspective for View Planning
Predictive Scheduling of Collaborative Mobile Robots for Improved Crop-transport Logistics of Manually Harvested Crops
Many-valued Argumentation, Conditionals and a Probabilistic Semantics for Gradual Argumentation
A Low-Complexity Gaussian Message Passing Iterative Detector for Massive MU-MIMO Systems
Optimised hybrid parallelisation of a CFD code on Many Core architectures
DARE: An Irregularity-Tolerant Matrix Processing Unit with a Densifying ISA and Filtered Runahead Execution
Physics-informed transfer learning for SHM via feature selection
Non-rigid Motion Correction for MRI Reconstruction via Coarse-To-Fine Diffusion Models
Music Recommendation with Large Language Models: Challenges, Opportunities, and Evaluation
Exploring the Role of Theory of Mind in Human Decision Making: Cognitive, Spatial, and Emotional Influences in the Adversarial Rock-Paper-Scissors Game
One-Shot Adaptation of Supervised Deep Convolutional Models
Reasoning with trees: interpreting CNNs using hierarchies
On Predicting Geolocation of Tweets using Convolutional Neural Networks
Style Transfer Applied to Face Liveness Detection with User-Centered Models
Generating Auxiliary Tasks with Reinforcement Learning
Impact of Climate Simulation Resolutions on Future Energy System Reliability Assessment: A Texas Case Study
No Free Labels: Limitations of LLM-as-a-Judge Without Human Grounding
Hitting the Target: Stopping Active Learning at the Cost-Based Optimum
The Study of Perceptual Training of Chinese Mandarin Tones for Monolingual Speakers of English Using Adaptive Computer Based Training Software
Assertion Enhanced Few-Shot Learning: Instructive Technique for Large Language Models to Generate Educational Explanations
Learning Relational Rules from Rewards
Flow-Based Synthesis of Reactive Tests for Discrete Decision-Making Systems with Temporal Logic Specifications
BlendNet: Design and Optimization of a Neural Network-Based Inference Engine Blending Binary and Fixed-Point Convolutions
Escort: Efficient Sparse Convolutional Neural Networks on GPUs
Something-Else: Compositional Action Recognition with Spatial-Temporal Interaction Networks
Ride-pooling Electric Autonomous Mobility-on-Demand: Joint Optimization of Operations and Fleet and Infrastructure Design
Generative AI and Empirical Software Engineering: A Paradigm Shift
Is Attention All NeRF Needs?
Exact 3D seismic data reconstruction using Tubal-Alt-Min algorithm
Transductive Information Maximization For Few-Shot Learning
Orthogonal Causal Calibration
Supporting the use of user generated content in journalistic practice
Data-Driven Autoencoder Numerical Solver with Uncertainty Quantification for Fast Physical Simulations
Scalable Algorithmic Infrastructure for Computation of Social Crowding and Viral Disease Encounters - mContain Case Study
Levarging Learning Bias for Noisy Anomaly Detection
Uncertainty estimation of pedestrian future trajectory using Bayesian approximation
Multimodal Neural Network For Demand Forecasting
Rethinking of AlphaStar
LD-LAudio-V1: Video-to-Long-Form-Audio Generation Extension with Dual Lightweight Adapters
Uniform convergence for Gaussian kernel ridge regression
Dynamic Graph: Learning Instance-aware Connectivity for Neural Networks
Modeling the formation of R\&D alliances: An agent-based model with empirical validation
Fast and robust pushbroom hyperspectral imaging via DMD-based scanning
System on Programable Chip for Performance Estimation of Loom Machine
SenseCare: A Research Platform for Medical Image Informatics and Interactive 3D Visualization
Basic Linguistic Resources and Baselines for Bhojpuri, Magahi and Maithili for Natural Language Processing
Non-traditional intervals and their use. Which ones really make sense?
Bathymetry Inversion using a Deep-Learning-Based Surrogate for Shallow Water Equations Solvers
Perturbative expansion of the fundamental equation of online user dynamics for describing changes in eigenfrequencies
Forecasting subcritical cylinder wakes with Fourier Neural Operators
The Babylonian Graph
How We Define Harm Impacts Data Annotations: Explaining How Annotators Distinguish Hateful, Offensive, and Toxic Comments
Theoretical Linear Convergence of Unfolded ISTA and its Practical Weights and Thresholds
Federated Composite Saddle Point Optimization
Estimating Early Fundraising Performance of Innovations via Graph-based Market Environment Model
Data Authorisation and Validation in Autonomous Vehicles: A Critical Review
STEP : A Distributed Multi-threading Framework Towards Efficient Data Analytics
The Size of a Hyperball in a Conceptual Space
Institutional Review Boards as Soft Governance Mechanisms of R&D: Governing the R&D of AI-based Medical Products
Panorama: Fast-Track Nearest Neighbors
Timer: Transformers for Time Series Analysis at Scale
Using Distributed Representation of Code for Bug Detection
Extending Quantum-Safe Communications to Real-World Networks: An Adaptive Security Framework
SWARM-SLR - Streamlined Workflow Automation for Machine-actionable Systematic Literature Reviews
Props for Machine-Learning Security
SafetyAnalyst: Interpretable, transparent, and steerable LLM safety moderation
On-Demand JSON: A Better Way to Parse Documents?
Concept backpropagation: An Explainable AI approach for visualising learned concepts in neural network models
Applying ACO To Large Scale TSP Instances
Trends in crypto-currencies and blockchain technologies: A monetary theory and regulation perspective
New results on Erasure Combinatorial Batch Codes
Few-Shot Inference of Human Perceptions of Robot Performance in Social Navigation Scenarios
Variable Rate Neural Compression for Sparse Detector Data
Sim-to-Real Brush Manipulation using Behavior Cloning and Reinforcement Learning
A Data Selection Approach for Enhancing Low Resource Machine Translation Using Cross-Lingual Sentence Representations
Scalable Locality-Sensitive Hashing for Similarity Search in High-Dimensional, Large-Scale Multimedia Datasets
Groupwise Neighbor Examination for Tabu Search Detection in Large MIMO systems
ARMCHAIR: integrated inverse reinforcement learning and model predictive control for human-robot collaboration
Geometric Moment Invariants to Motion Blur
A novel Hopfield neural network approach for minimizing total weighted tardiness of jobs scheduled on identical machines
Optoelectronic Reservoir Computing
The Shape of an Image: A Study of Mapper on Images
Mr. Right: Multimodal Retrieval on Representation of ImaGe witH Text
Optimization of fuzzy analogy in software cost estimation using linguistic variables
System approach to synthesis, modeling and control of complex dynamical systems
PIEEG: Turn a Raspberry Pi into a Brain-Computer-Interface to measure biosignals
Program Adverbs and Tlön Embeddings
Performance of group testing algorithms with constant tests-per-item
A "User Experience 3.0 (UX 3.0)" Paradigm Framework: User Experience Design for Human-Centered AI Systems
Congestion Pricing for Efficiency and Equity: Theory and Applications to the San Francisco Bay Area
Evolution of biomedical innovation quantified via billions of distinct article-level MeSH keyword combinations
Coloring Large Complex Networks
MSGDD-cGAN: Multi-Scale Gradients Dual Discriminator Conditional Generative Adversarial Network
Multi-Task Deep Residual Echo Suppression with Echo-aware Loss
Ontology based approach for video transmission over the network
HoloLens 2 Sensor Streaming
Robust Deep Reinforcement Learning against Adversarial Perturbations on Observations
Lambda-lifting and CPS conversion in an imperative language
If the Current Clique Algorithms are Optimal, so is Valiant's Parser
Accelerated FBP for computed tomography image reconstruction
Modern Computing: Vision and Challenges
Structural Control Analysis of System Dynamics Models
Optimizing generalized Gini indices for fairness in rankings
HabitAction: A Video Dataset for Human Habitual Behavior Recognition
AI Models Exceed Individual Human Accuracy in Predicting Everyday Social Norms
Graphing the Truth: Structured Visualizations for Automated Hallucination Detection in LLMs
Towards automated verification of multi-party consensus protocols
Looking into Your Speech: Learning Cross-modal Affinity for Audio-visual Speech Separation
Hybrid modeling of the human cardiovascular system using NeuralFMUs
EqRank: A Self-Consistent Equivalence Relation on Graph Vertexes
Unbalanced CO-Optimal Transport
Contextual-MDPs for PAC-Reinforcement Learning with Rich Observations
Steerable Equivariant Representation Learning
Seal: Advancing Speech Language Models to be Few-Shot Learners
An Efficient Conditional Score-based Filter for High Dimensional Nonlinear Filtering Problems
On the Completeness and Ordering of Path-Complete Barrier Functions
The Standard Problem
Migration patterns, friendship networks, and the diaspora: the potential of Facebook's Social Connectedness Index to anticipate migration flows induced by Russia's invasion of Ukraine in the European Union
Tradeoff of age-of-information and power under reliability constraint for short-packet communication with block-length adaptation
Finding Maximum Expected Termination Time of Probabilistic Timed Automata Models with Cyclic behavior
GENEOnet: Statistical analysis supporting explainability and trustworthiness
Graph-Enhanced Retrieval-Augmented Question Answering for E-Commerce Customer Support
A decomposition from a substitutable many-to-one matching market to a one-to-one matching market
Machine Learning based CVD Virtual Metrology in Mass Produced Semiconductor Process
Minimax Optimal Reinforcement Learning for Discounted MDPs
Parseval Convolution Operators and Neural Networks
A Conceptual Framework for Successful E-commerce Smartphone Applications: The Context of GCC
Homogeneous formulas and symmetric polynomials
Semi-IIN: Semi-supervised Intra-inter modal Interaction Learning Network for Multimodal Sentiment Analysis
Recognition of Pyralidae Insects Using Intelligent Monitoring Autonomous Robot Vehicle in Natural Farm Scene
Pretrained Hybrids with MAD Skills
Tradeoffs Between Alignment and Helpfulness in Language Models
Stochastic Bayesian Neural Networks
Limits to AI Growth: The Ecological and Social Consequences of Scaling
Evasion-Resilient Detection of DNS-over-HTTPS Data Exfiltration: A Practical Evaluation and Toolkit
Subsuming Complex Networks by Node Walks
Quipper: A Scalable Quantum Programming Language
Recent Advances in Out-of-Distribution Detection with CLIP-Like Models: A Survey
Generalised multilevel Picard approximations
GLUECons: A Generic Benchmark for Learning Under Constraints
On the Convergence of Momentum-Based Algorithms for Federated Stochastic Bilevel Optimization Problems
The Dirac operator of a graph
WGANVO: Monocular Visual Odometry based on Generative Adversarial Networks
Value of Optimal Trip and Charging Scheduling of Commercial Electric Vehicle Fleets with Vehicle-to-Grid in Future Low Inertia Systems
End-to-End Audio Visual Scene-Aware Dialog using Multimodal Attention-Based Video Features
On the effect of curriculum learning with developmental data for grammar acquisition
Reviving, reproducing, and revisiting Axelrod's second tournament
Reasoning with LLMs for Zero-Shot Vulnerability Detection
Efficient Beamforming for MIMO Relaying Broadcast Channel with Imperfect Channel Estimation
Notes on neighborhood semantics for logics of unknown truths and false beliefs
Solve Smart, Not Often: Policy Learning for Costly MILP Re-solving
Generative AI-based Pipeline Architecture for Increasing Training Efficiency in Intelligent Weed Control Systems
QonFusion - Quantum Approaches to Gaussian Random Variables: Applications in Stable Diffusion and Brownian Motion
Prediction of Drug Synergy by Ensemble Learning
Robust Invisible Video Watermarking with Attention
Image-based Automated Species Identification: Can Virtual Data Augmentation Overcome Problems of Insufficient Sampling?
The Impact of Performance Expectancy, Workload, Risk, and Satisfaction on Trust in ChatGPT: Cross-sectional Survey Analysis
Scaling Capability in Token Space: An Analysis of Large Vision Language Model
G-VAE, a Geometric Convolutional VAE for ProteinStructure Generation
SDM-NET: Deep Generative Network for Structured Deformable Mesh
Vision-based Safe Autonomous UAV Docking with Panoramic Sensors
A3D-MoE: Acceleration of Large Language Models with Mixture of Experts via 3D Heterogeneous Integration
Efficient 2D and 3D Facade Segmentation using Auto-Context
Crack Detection Using Enhanced Thresholding on UAV based Collected Images
Deep learning for smart fish farming: applications, opportunities and challenges
EvolvR: Self-Evolving Pairwise Reasoning for Story Evaluation to Enhance Generation
Generalized Multi-Output Gaussian Process Censored Regression
Revisiting Chien-Hrones-Reswick Method for an Analytical Solution