yusuke1997/dblp-id-title huggingface dataset:
Capturing Symmetry and Antisymmetry in Language Models through Symmetry-Aware Training Objectives
The Domino Problem of the Hyperbolic Plane Is Undecidable
MaIL: Improving Imitation Learning with Mamba
Calibrated Reasoning: An Explanatory Verifier for Dynamic and Efficient Problem-Solving
Cone Ranking for Multi-Criteria Decision Making
Towards Automated Statistical Physics : Data-driven Modeling of Complex Systems with Deep Learning
Chore Cutting: Envy and Truth
Can We Predict Alignment Before Models Finish Thinking? Towards Monitoring Misaligned Reasoning Models
Exploring Deep Learning Methods for Classification of SAR Images: Towards NextGen Convolutions via Transformers
Generative Models in Decision Making: A Survey
Watch Every Step! LLM Agent Learning via Iterative Step-Level Process Refinement
Robust delay-dependent LPV output-feedback blood pressure control with real-time Bayesian estimation
Deep Learning-Based Strategy for Macromolecules Classification with Imbalanced Data from Cellular Electron Cryotomography
LLM-based Smart Reply (LSR): Enhancing Collaborative Performance with ChatGPT-mediated Smart Reply System
Quasi-Monte Carlo with one categorical variable
Analysis of Short Blocklength Codes for Secrecy
Exponentially convergent trapezoidal rules to approximate fractional powers of operators
Co-Designing a Chatbot for Culturally Competent Clinical Communication: Experience and Reflections
An Attempt of Adaptive Heightfield Rendering with Complex Interpolants Using Ray Casting
Staying in Shape: Learning Invariant Shape Representations using Contrastive Learning
Can LLMs Deeply Detect Complex Malicious Queries? A Framework for Jailbreaking via Obfuscating Intent
On decoding extended Han-Zhang codes
Language Independent Sequence Labelling for Opinion Target Extraction
Deep Unfolding: Recent Developments, Theory, and Design Guidelines
Auditing health-related recommendations in social media: A Case Study of Abortion on YouTube
PRISM: A Unified Framework of Parameterized Submodular Information Measures for Targeted Data Subset Selection and Summarization
Optimization in Mobile Augmented Reality Systems for the Metaverse over Wireless Communications
Voice Impersonation using Generative Adversarial Networks
Structured Thinking Matters: Improving LLMs Generalization in Causal Inference Tasks
Tips and Tricks for Visual Question Answering: Learnings from the 2017 Challenge
Topic Bias in Emotion Classification
Data-Driven Modeling and Correction of Vehicle Dynamics
Multi-modal Pre-training for Medical Vision-language Understanding and Generation: An Empirical Study with A New Benchmark
3D-PreMise: Can Large Language Models Generate 3D Shapes with Sharp Features and Parametric Control?
Lowest Degree Decomposition of Complex Networks
Boltzmann Machines and Denoising Autoencoders for Image Denoising
Higher and extended Jacobi polynomials for codes
COmic: Convolutional Kernel Networks for Interpretable End-to-End Learning on (Multi-)Omics Data
Entanglement-induced provable and robust quantum learning advantages
Pitfalls of Evidence-Based AI Policy
Memory in Plain Sight: A Survey of the Uncanny Resemblances between Diffusion Models and Associative Memories
The Game Chromatic Number of Complete Multipartite Graphs with No Singletons
Tropical Geometry Based Edge Detection Using Min-Plus and Max-Plus Algebra
Shallow Univariate ReLu Networks as Splines: Initialization, Loss Surface, Hessian, & Gradient Flow Dynamics
A rational approximation method for solving acoustic nonlinear eigenvalue problems
Carbon Responder: Coordinating Demand Response for the Datacenter Fleet
InfVSR: Breaking Length Limits of Generic Video Super-Resolution
Interpretable Language Modeling via Induction-head Ngram Models
A Universal Non-Parametric Approach For Improved Molecular Sequence Analysis
Quickest Change Detection Approach to Optimal Control in Markov Decision Processes with Model Changes
Level of agreement between emotions generated by Artificial Intelligence and human evaluation: a methodological proposal
Frechet similarity of closed polygonal curves
Deep learning, deep change? Mapping the development of the Artificial Intelligence General Purpose Technology
Energy-grade double pricing mechanism for a combined heat and power system using the asynchronous dispatch method
vlang: Mapping Verilog Netlists to Modern Technologies
AH-GS: Augmented 3D Gaussian Splatting for High-Frequency Detail Representation
Enacting Coordination Processes
Evaluating Gender Bias Transfer between Pre-trained and Prompt-Adapted Language Models
More Diverse Means Better: Multimodal Deep Learning Meets Remote Sensing Imagery Classification
A Transformation--Based Approach for the Design of Parallel/Distributed Scientific Software: the FFT
Addressing Challenges in Data Quality and Model Generalization for Malaria Detection
Implementing the BBE Agent-Based Model of a Sports-Betting Exchange
What Did You Say? Task-Oriented Dialog Datasets Are Not Conversational!?
A Predictive Framework for Adversarial Energy Depletion in Inbound Threat Scenarios
Contrastive Explanations with Local Foil Trees
HO-3D: A Multi-User, Multi-Object Dataset for Joint 3D Hand-Object Pose Estimation
Talent-Interview: Web-Client Cheating Detection for Online Exams
Advancing Ad Auction Realism: Practical Insights & Modeling Implications
Robust Planning for Multi-stage Forceful Manipulation
Coordinated Motion Planning Through Randomized k-Opt
Can We Automate Diagrammatic Reasoning?
Deep Semi-Supervised Anomaly Detection for Finding Fraud in the Futures Market
The Rate-Distortion Function for Sampled Cyclostationary Gaussian Processes with Memory and with Bounded Processing Delay: Extended Version with Proofs
From Geometry to Culture: An Iterative VLM Layout Framework for Placing Objects in Complex 3D Scene Contexts
An RNN-based IMM Filter Surrogate
PlaceFormer: Transformer-based Visual Place Recognition using Multi-Scale Patch Selection and Fusion
Discrete Optimization Methods for Group Model Selection in Compressed Sensing
Self-supervised spectral matching network for hyperspectral target detection
Quenched large deviations for Monte Carlo integration with Coulomb gases
EnTao-GPM: DNA Foundation Model for Predicting the Germline Pathogenic Mutations
Training neural networks without backpropagation using particles
Probabilistic Load Forecasting via Point Forecast Feature Integration
ChopChop: a Programmable Framework for Semantically Constraining the Output of Language Models
A Social Recommender System based on Bhattacharyya Coefficient
AIDA: Legal Judgment Predictions for Non-Professional Fact Descriptions via Partial-and-Imbalanced Domain Adaptation
Equal bi-Vectorized (EBV) method to high performance on GPU
How Does Instrumental Music Help SingFake Detection?
Optimal Morse functions and $H(\mathcal{M}^2, \mathbb{A})$ in $\tilde{O}(N)$ time
On ML-Certificate Linear Constraints for Rank Modulation with Linear Programming Decoding and its Application to Compact Graphs
AnomalyCD: A benchmark for Earth anomaly change detection with high-resolution and time-series observations
Learning based Deep Disentangling Light Field Reconstruction and Disparity Estimation Application
Evaluating Time Series Models for Urban Wastewater Management: Predictive Performance, Model Complexity and Resilience
Attribution-based XAI Methods in Computer Vision: A Review
On the tractability of the maximum independent set problem
Semantic filtering by inference on domain knowledge in spoken dialogue systems
A Game Theoretic Model of Demand Response Aggregator Competition for Selling Stored Energy in Regulated and Unregulated Power Markets
Quasi Linear Codes: Application to Point-to-Point and Multi-Terminal Source Coding
Using a Model of Social Dynamics to Predict Popularity of News
Rethinking Saliency-Guided Weakly-Supervised Semantic Segmentation
Leveraging human knowledge in tabular reinforcement learning: A study of human subjects
Mapping Quantum Threats: An Engineering Inventory of Cryptographic Dependencies
Sequential Fair Allocation of Limited Resources under Stochastic Demands
KIDS: kinematics-based (in)activity detection and segmentation in a sleep case study
Probably Safe or Live
Numerical solution of time-dependent problems with fractional power elliptic operator
Beyond the Ideal: Analyzing the Inexact Muon Update
Computational competition of three adaptive least-squares finite element schemes
Informal Data Transformation Considered Harmful
Fair Federated Learning for Heterogeneous Face Data
Minimum Conditional Description Length Estimation for Markov Random Fields
Affordance-Guided Diffusion Prior for 3D Hand Reconstruction
Piano Timbre Development Analysis using Machine Learning
Prediction of the facial growth direction with Machine Learning methods
How semantic and geometric information mutually reinforce each other in ToF object localization
A Comprehensive Bibliometric Analysis on Social Network Anonymization: Current Approaches and Future Directions
Into the Fog: Evaluating Multiple Object Tracking Robustness
Sinusoidal Initialization, Time for a New Start
A General Upper Bound on the Size of Constant-Weight Conflict-Avoiding Codes
Evolution of the Internet at the Autonomous Systems Level During a Decade
Generative AI for Biosciences: Emerging Threats and Roadmap to Biosecurity
Autoencoder Enhanced Realised GARCH on Volatility Forecasting
RSVD-CUR Decomposition for Matrix Triplets
Web-Based Learning and Training for Virtual Metrology Lab
Few-Shot Class-Incremental Learning with Non-IID Decentralized Data
Entropy stable shock capturing for high-order DGSEM on moving meshes
Situationally-Induced Impairments and Disabilities Research
Multi-Agent gatekeeper: Safe Flight Planning and Formation Control for Urban Air Mobility
Tell Me Something That Will Help Me Trust You: A Survey of Trust Calibration in Human-Agent Interaction
Upper-body musculoskeletal pain and eye strain among language professionals: a descriptive, cross-sectional study
Stemmers for Tamil Language: Performance Analysis
New Transience Bounds for Long Walks
Powerful, transferable representations for molecules through intelligent task selection in deep multitask networks
LUT-Lock: A Novel LUT-based Logic Obfuscation for FPGA-Bitstream and ASIC-Hardware Protection
New Parallel Order Maintenance Data Structure
Pose-aware Adversarial Domain Adaptation for Personalized Facial Expression Recognition
Hierarchical Bayesian Personalized Recommendation: A Case Study and Beyond
Extended Report on the Obfuscated Integration of Software Protections
Detecting key Soccer match events to create highlights using Computer Vision
Large Scale Passenger Detection with Smartphone/Bus Implicit Interaction and Multisensory Unsupervised Cause-effect Learning
Niyama : Breaking the Silos of LLM Inference Serving
Mean field error estimate of the random batch method for large interacting particle system
FlexCap: Generating Rich, Localized, and Flexible Captions in Images
Dual Detection Framework for Faults and Integrity Attacks in Cyber-Physical Control Systems
A Comprehensive Review of Techniques, Algorithms, Advancements, Challenges, and Clinical Applications of Multi-modal Medical Image Fusion for Improved Diagnosis
Finite element analysis of a spectral problem on curved meshes occurring in diffusion with high order boundary conditions
Ace-CEFR - A Dataset for Automated Evaluation of the Linguistic Difficulty of Conversational Texts for LLM Applications
Fully discrete backward error analysis for the midpoint rule applied to the nonlinear Schroedinger equation
Towards Fully Environment-Aware UAVs: Real-Time Path Planning with Online 3D Wind Field Prediction in Complex Terrain
Elementary Sets for Logic Programs
AC4MPC: Actor-Critic Reinforcement Learning for Nonlinear Model Predictive Control
A Survey on Blockchain-based Supply Chain Finance with Progress and Future directions
Hierarchical Clustering: a 0.585 Revenue Approximation
Human Comfortability Index Estimation in Industrial Human-Robot Collaboration Task
HALSIE - Hybrid Approach to Learning Segmentation by Simultaneously Exploiting Image and Event Modalities
Plant Doctor: A hybrid machine learning and image segmentation software to quantify plant damage in video footage
Lecture Notes on the ARV Algorithm for Sparsest Cut
Estimation of Radio Interferometer Beam Shapes Using Riemannian Optimization
Scalable Implicit Solvers with Dynamic Mesh Adaptation for a Relativistic Drift-Kinetic Fokker-Planck-Boltzmann Model
How to build a DNA search engine like Google?
Operator Learning for Robust Stabilization of Linear Markov-Jumping Hyperbolic PDEs
Data Augmentation Strategies for Robust Lane Marking Detection
Real-time Deer Detection and Warning in Connected Vehicles via Thermal Sensing and Deep Learning
Natural Is The Best: Model-Agnostic Code Simplification for Pre-trained Large Language Models
SPLAT: A framework for optimised GPU code-generation for SParse reguLar ATtention
SensorX2car: Sensors-to-car calibration for autonomous driving in road scenarios
Cognitive Architecture Toward Common Ground Sharing Among Humans and Generative AIs: Trial on Model-Model Interactions in Tangram Naming Task
Bridging the Gap Between Training and Inference of Bayesian Controllable Language Models
Audio-based Musical Version Identification: Elements and Challenges
Enhancing accuracy of deep learning algorithms by training with low-discrepancy sequences
timeXplain - A Framework for Explaining the Predictions of Time Series Classifiers
Efficient multi-partition topology optimization
Towards a Quantum World Wide Web
FedGrad: Optimisation in Decentralised Machine Learning
Temporal Contrastive Learning for Video Temporal Reasoning in Large Vision-Language Models
A Deep Learning Approach for Multi-View Engagement Estimation of Children in a Child-Robot Joint Attention task
GraphWiz: An Instruction-Following Language Model for Graph Problems
Privacy Aware Offloading of Deep Neural Networks
Semantic Robot Vision Challenge: Current State and Future Directions
Fast Security-Constrained Optimal Power Flow through Low-Impact and Redundancy Screening
When Text Embedding Meets Large Language Model: A Comprehensive Survey
Collaborative Adaptation: Learning to Recover from Unforeseen Malfunctions in Multi-Robot Teams
Chatbot apologies: Beyond bullshit
Regularized OFU: an Efficient UCB Estimator forNon-linear Contextual Bandit
Atlas: Automate Online Service Configuration in Network Slicing
Deep Transfer Learning: A new deep learning glitch classification method for advanced LIGO
A First Look into the Structural Properties and Resilience of Blockchain Overlays
Enhancing Resilience of Deep Learning Networks by Means of Transferable Adversaries
Exploiting Channel Correlation and PU Traffic Memory for Opportunistic Spectrum Scheduling
Optimal Image Transport on Sparse Dictionaries
What's Producible May Not Be Reachable: Measuring the Steerability of Generative Models
Proximity full-text searches of frequently occurring words with a response time guarantee
A Graph Neural Network with Auxiliary Task Learning for Missing PMU Data Reconstruction
Clarifying Semantics of In-Context Examples for Unit Test Generation
Time-Domain Based Embeddings for Spoofed Audio Representation
Intelligent Approaches to interact with Machines using Hand Gesture Recognition in Natural way: A Survey
Bandit-Based Rate Adaptation for a Single-Server Queue
LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment
Survey on Essential and Accidental Real-Time Issues in Software Engineering
Adaptive PII Mitigation Framework for Large Language Models
Large-Scale Data Mining of Rapid Residue Detection Assay Data From HTML and PDF Documents: Improving Data Access and Visualization for Veterinarians
Finding the global semantic representation in GAN through Frechet Mean
Self-supervised Learning of Detailed 3D Face Reconstruction
Effects of Realism and Representation on Self-Embodied Avatars in Immersive Virtual Environments
Guardian: Decoupling Exploration from Safety in Reinforcement Learning
A Demand-Driven Perspective on Generative Audio AI
ScaleMAI: Accelerating the Development of Trusted Datasets and AI Models
Fast End-to-End Wikification
Towards Safer Social Media Platforms: Scalable and Performant Few-Shot Harmful Content Moderation Using Large Language Models
Test-time Distribution Learning Adapter for Cross-modal Visual Reasoning
Experimental Assessment of a Multi-Class AI/ML Architecture for Real-Time Characterization of Cyber Events in a Live Research Reactor
Micro-Health Interventions: Exploring Design Strategies for 1-Minute Interventions as a Gateway to Healthy Habits
Distributed Deep Reinforcement Learning for Collaborative Spectrum Sharing
A Meta Approach to Defend Noisy Labels by the Manifold Regularizer PSDR
SatNetOps: Toward Multi-Layer Networking for Satellite Network Operations
Multi-Source DOA Estimation through Pattern Recognition of the Modal Coherence of a Reverberant Soundfield
CommGPT: A Graph and Retrieval-Augmented Multimodal Communication Foundation Model
One-Vote Veto: A Self-Training Strategy for Low-Shot Learning of a Task-Invariant Embedding to Diagnose Glaucoma
The Phonetic Footprint of Parkinson's Disease
Reduction Monads and Their Signatures
A Context Integrated Relational Spatio-Temporal Model for Demand and Supply Forecasting
CNN-based Repetitive self-revised learning for photos' aesthetics imbalanced classification
Robust and Effective Malware Detection through Quantitative Data Flow Graph Metrics
Mathematical Opportunities in Digital Twins (MATH-DT)
An All Deep System for Badminton Game Analysis
1st Place Solution for PVUW Challenge 2023: Video Panoptic Segmentation
Self-NPO: Negative Preference Optimization of Diffusion Models by Simply Learning from Itself without Explicit Preference Annotations
InterLoc: LiDAR-based Intersection Localization using Road Segmentation with Automated Evaluation Method
Precise-Physics Driven Text-to-3D Generation
Better Than Ground-truth? Beyond Supervised Learning for Photoacoustic Imaging Reconstruction
Dynamic Feature Integration for Simultaneous Detection of Salient Object, Edge and Skeleton
Solving Sample-Level Out-of-Distribution Detection on 3D Medical Images
Aesthetics of Sanskrit Poetry from the Perspective of Computational Linguistics: A Case Study Analysis on Siksastaka
A tool stack for implementing Behaviour-Driven Development in Python Language
Automatic extraction of similar traffic scenes from large naturalistic datasets using the Hausdorff distance
Bayesian optimization for backpropagation in Monte-Carlo tree search
Generating Artificial Outliers in the Absence of Genuine Ones - a Survey
Towards Predicting Equilibrium Distributions for Molecular Systems with Deep Learning
Max-Flows on Sparse and Dense Networks
Proceedings Joint Workshop on Handling IMPlicit and EXplicit knowledge in formal system development (IMPEX) and Formal and Model-Driven Techniques for Developing Trustworthy Systems (FM&MDD), IMPEX/FM&MDD 2017, Xi'an, China, 16th November 2017
Adaptive Spatio-Temporal Graphs with Self-Supervised Pretraining for Multi-Horizon Weather Forecasting
Undesirable Memorization in Large Language Models: A Survey
What's Decidable about (Atomic) Polymorphism
Novel Chapter Abstractive Summarization using Spinal Tree Aware Sub-Sentential Content Selection
DeepCount: Crowd Counting with WiFi via Deep Learning
Secure Detection of Image Manipulation by means of Random Feature Selection
Performance of energy harvesters with parameter mismatch
Agent-Based Modelling Approach for Distributed Decision Support in an IoT Network
Complexity of controlled bad sequences over finite sets of N k
A Divide-and-Conquer Strategy for Parsing
EdgeRAG: Online-Indexed RAG for Edge Devices
Learning multimodal representations for sample-efficient recognition of human actions
Outrepasser les limites des techniques classiques de Prise d'Empreintes grace aux Reseaux de Neurones
Semi-Supervised Keypoint Detector and Descriptor for Retinal Image Matching
Leveraging point annotations in segmentation learning with boundary loss
Spectral Clustering of Graphs with the Bethe Hessian
Emotional Reaction Intensity Estimation Based on Multimodal Data
SafeguardGS: 3D Gaussian Primitive Pruning While Avoiding Catastrophic Scene Destruction
Correctness by construction for probabilistic programs
Pricing and Revenue Sharing for Secondary Data Market
Resilient Distributed Self-Triggered Control of Networked Systems under Hybrid DoS Attacks
Self-Supervised and Topological Signal-Quality Assessment for Any PPG Device
Single Object Tracking Research: A Survey
Formal models of Structure Building in Music, Language and Animal Songs
An Optimal Stable Selective Model Inversion for Nonminimum-phase Systems
Bio-Inspired Design of Artificial Striated Muscles Composed of Sarcomere-Like Contraction Units (preprint)
Tracking Temporal Dynamics of Vector Sets with Gaussian Process
Linear Convergence of Independent Natural Policy Gradient in Games with Entropy Regularization
Enhancing frozen histological section images using permanent-section-guided deep learning with nuclei attention
Robust Tumor Localization with Pyramid Grad-CAM
Toward Next Generation Open Radio Access Network-What O-RAN Can and Cannot Do!
Actor Continuation Passing: Efficient and Extensible Request Routing for Event-Driven Architectures
Fault-tolerant parallel-in-time integration with PFASST
Learning to Combat Compounding-Error in Model-Based Reinforcement Learning
Leveraging Large Language Models for Use Case Model Generation from Software Requirements
Strong Stability Preservation for Stochastic Partial Differential Equations
Bilateral Inversion Principles
Towards Optimal Environmental Policies: Policy Learning under Arbitrary Bipartite Network Interference
Fundamental limitations on optimization in variational quantum algorithms
Knot Selection in Sparse Gaussian Processes with a Variational Objective
Sparse-Autoencoder-Guided Internal Representation Unlearning for Large Language Models
Conditional Fault Diagnosis of Bubble Sort Graphs under the PMC Model
Student/Teacher Advising through Reward Augmentation
Throughput and Delay in Random Wireless Networks with Restricted Mobility
CEGRL-TKGR: A Causal Enhanced Graph Representation Learning Framework for Improving Temporal Knowledge Graph Extrapolation Reasoning
Complex systems science and urban science: towards applications to sustainability trade-offs in territorial systems
Challenges and Opportunities of Blockchain for Cyber Threat Intelligence Sharing
Rethinking Soft Label in Label Distribution Learning Perspective
A capacity renting framework for shared energy storage considering peer-to-peer energy trading of prosumers with privacy protection
Incentive-Aligned Multi-Source LLM Summaries
FSC-Net: Fast-Slow Consolidation Networks for Continual Learning
RFL-CDNet: Towards Accurate Change Detection via Richer Feature Learning
An RL-Based Adaptive Detection Strategy to Secure Cyber-Physical Systems
FundaQ-8: A Clinically-Inspired Scoring Framework for Automated Fundus Image Quality Assessment
Deep Active Learning with Contrastive Learning Under Realistic Data Pool Assumptions
Trellis-Based Check Node Processing for Low-Complexity Nonbinary LP Decoding
Integrating Physiological Data with Large Language Models for Empathic Human-AI Interaction
Random Geometric Graph: Some recent developments and perspectives
Smart Data Representations: Impact on the Accuracy of Deep Neural Networks
Efficient Semi-External Breadth-First Search
Implementation of Algorithms for Right-Sizing Data Centers
Artificial Intelligence Competence of K-12 Students Shapes Their AI Risk Perception: A Co-occurrence Network Analysis
Mechanically Verified Calculational Abstract Interpretation
Generalized Fitch Graphs: Edge-labeled Graphs that are explained by Edge-labeled Trees
Optimized Amplitude Amplification for Quantum State Preparation
MugenNet: A Novel Combined Convolution Neural Network and Transformer Network with its Application for Colonic Polyp Image Segmentation
Mojito: LLM-Aided Motion Instructor with Jitter-Reduced Inertial Tokens
Meta-Learning of Neural State-Space Models Using Data From Similar Systems
An Approach to Colour Morphological Supremum Formation using the LogSumExp Approximation