Papers
Fri 15 Dec 2023
291 papers
- Autoregressive fragment-based diffusion for pocket-aware ligand designDiffusion models → Flow matching, time series and science
- Iterative Motion Editing with Natural LanguageDiffusion models → Video generation
- Rich Human Feedback for Text-to-Image GenerationDiffusion models → Image generation, text-to-image and editing +1
- Student as an Inherent Denoiser of Noisy TeacherKnowledge distillation → General knowledge distillation methods
- Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart CaptioningMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- Improving new physics searches with diffusion models for event observables and jet constituentsDiffusion models → Flow matching, time series and science
- MVHuman: Tailoring 2D Diffusion with Multi-view Sampling For Realistic 3D Human GenerationDiffusion models → 3D, point cloud and scene generation
- Lever LM: Configuring In-Context Sequence to Lever Large Vision Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- GSVA: Generalized Segmentation via Multimodal Large Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Osprey: Pixel Understanding with Visual Instruction TuningMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Movement Primitive Diffusion: Learning Gentle Robotic Manipulation of Deformable ObjectsOffline RL and imitation learning from data → Safe offline RL
- ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM AgentLLM reasoning → Knowledge- and tool-augmented reasoning +2
- One Self-Configurable Model to Solve Many Abstract Visual Reasoning ProblemsLLM reasoning → Multimodal reasoning
- Toward Computationally Efficient Inverse Reinforcement Learning via Reward ShapingOffline RL and imitation learning from data → Inverse reinforcement learning
- LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style PluginMixture-of-experts → Mixture of LoRA experts
- Prompting Datasets: Data Discovery with Conversational AgentsLLM agents and tool use → Web, search, and research agents
- Optimal Transport Aggregation for Distributed Mixture-of-ExpertsMixture-of-experts → MoE theory and gating functions
- Small Dataset, Big Gains: Enhancing Reinforcement Learning by Offline Pre-Training with Model Based AugmentationOffline RL and imitation learning from data → Offline RL algorithms
- On the compression of shallow non-causal ASR models using knowledge distillation and tied-and-reduced decoder for low-latency on-device speech recognitionKnowledge distillation → Speech and audio distillation
- ProCoT: Stimulating Critical Thinking and Writing of Students through Engagement with Large Language Models (LLMs)LLM reasoning → Prompting and chain-of-thought reasoning
- Latent Diffusion Models with Image-Derived Annotations for Enhanced AI-Assisted Cancer Diagnosis in HistopathologyDiffusion models → Medical imaging and segmentation
- DreamTalk: When Emotional Talking Head Generation Meets Diffusion Probabilistic ModelsDiffusion models → Audio, speech and music
- PPFM: Image denoising in photon-counting CT using single-step posterior sampling Poisson flow generative modelsDiffusion models → Medical imaging and segmentation
- Weakly-Supervised 3D Visual Grounding based on Visual Language AlignmentMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Faster Diffusion: Rethinking the Role of the Encoder for Diffusion Model InferenceDiffusion models → Diffusion foundations and sampling
- Prompt-based Distribution Alignment for Unsupervised Domain AdaptationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Marathon: A Race Through the Realm of Long Context with Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- Single PW takes a shortcut to compound PW in US imagingDiffusion models → Medical imaging and segmentation
- Fast Sampling generative model for Ultrasound image reconstructionDiffusion models → Medical imaging and segmentation
- WAVER: Writing-style Agnostic Text-Video Retrieval via Distilling Vision-Language Models Through Open-Vocabulary KnowledgeMultimodal LLMs / vision-language models → Video understanding with MLLMs +1
- Taxonomy-based CheckList for Large Language Model Evaluation
- Multispectral Stereo-Image Fusion for 3D Hyperspectral Scene Reconstruction
- Classical Sorting Algorithms as a Model of Morphogenesis: self-sorting arrays reveal unexpected competencies in a minimal model of basal intelligence
- Dynamic Spiking Framework for Graph Neural Networks
- Symbolic Regression of Dynamic Network Models
- Small Bird Detection using YOLOv7 with Test-Time Augmentation
- Learning to Infer Unobserved Behaviors: Estimating User's Preference for a Site over Other Sites
- GreenFlow: A Computation Allocation Framework for Building Environmentally Sound Recommendation System
- Device Scheduling for Relay-assisted Over-the-Air Aggregation in Federated Learning
- KGLens: Towards Efficient and Effective Knowledge Probing of Large Language Models with Knowledge Graphs
- FastSR-NeRF: Improving NeRF Efficiency on Consumer Devices with A Simple Super-Resolution Pipeline
- Fast Decision Boundary based Out-of-Distribution Detector
- High-Quality 3D Creation from A Single Image Using Subject-Specific Knowledge Prior
- Improved Differentially Private and Lazy Online Convex Optimization
- Topic-VQ-VAE: Leveraging Latent Codebooks for Flexible Topic-Guided Document Generation
- Asset Ownership Identification: Using machine learning to predict enterprise asset ownership
- VoCopilot: Voice-Activated Tracking of Everyday Interactions
- Progressive Painterly Image Harmonization from Low-level Styles to High-level Styles
- Painterly Image Harmonization by Learning from Painterly Objects
- ComplicaCode: Enhancing Disease Complication Detection in Electronic Health Records through ICD Path Generation
- The Physics-Informed Neural Network Gravity Model: Generation III
- Multi-agent Reinforcement Learning: A Comprehensive Survey
- Catwalk: A Unified Language Model Evaluation Framework for Many Datasets
- Advancing Surgical VQA with Scene Graph Knowledge
- Implicit Modeling of Non-rigid Objects with Cross-Category Signals
- A Survey of Classical And Quantum Sequence Models
- Hypothesis Testing for Class-Conditional Noise Using Local Maximum Likelihood
- A Distributed Privacy Preserving Model for the Detection of Alzheimer's Disease
- Building symmetries into data-driven manifold dynamics models for complex flows: application to two-dimensional Kolmogorov flow
- Flexible Nonparametric Inference for Causal Effects under the Front-Door Model
- Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex Programming
- The Complexity of Optimizing Atomic Congestion
- T-MAE: Temporal Masked Autoencoders for Point Cloud Representation Learning
- A Remark on Concept Drift for Dependent Data
- VK-G2T: Vision and Context Knowledge enhanced Gloss2Text
- Beyond Empirical Windowing: An Attention-Based Approach for Trust Prediction in Autonomous Vehicles
- Video-based Surgical Skill Assessment using Tree-based Gaussian Process Classifier
- Low-resource classification of mobility functioning information in clinical sentences using large language models
- CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-Modal Multi-Label Emotion Recognition
- Deep Active Perception for Object Detection using Navigation Proposals
- Automatic nonlinear MPC approximation with closed-loop guarantees
- SoloPose: One-Shot Kinematic 3D Human Pose Estimation with Video Data Augmentation
- Multi-Objective Reinforcement Learning-based Approach for Pressurized Water Reactor Optimization
- Adaptive Computation Modules: Granular Conditional Computation For Efficient Inference
- Tell Me What You See: Text-Guided Real-World Image Denoising
- WordScape: a Pipeline to extract multilingual, visually rich Documents with Layout Annotations from Web Crawl Data
- TSRNet: Simple Framework for Real-time ECG Anomaly Detection with Multimodal Time and Spectrogram Restoration Network
- Integrating Fairness and Model Pruning Through Bi-level Optimization
- 3FM: Multi-modal Meta-learning for Federated Tasks
- UniAR: A Unified model for predicting human Attention and Responses on visual content
- Pipeline and Dataset Generation for Automated Fact-checking in Almost Any Language
- UINav: A Practical Approach to Train On-Device Automation Agents
- Review of Unsupervised POS Tagging and Its Implications on Language Acquisition
- Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization
- Towards the Unification of Generative and Discriminative Visual Foundation Model: A Survey
- Bayesian Metaplasticity from Synaptic Uncertainty
- Data-Efficient Multimodal Fusion on a Single GPU
- Gradient-based Parameter Selection for Efficient Fine-Tuning
- Closing the Gap: Achieving Better Accuracy-Robustness Tradeoffs against Query-Based Attacks
- An Information-Flow Perspective on Algorithmic Fairness
- How Does It Function? Characterizing Long-term Trends in Production Serverless Workloads
- Do Text Simplification Systems Preserve Meaning? A Human Evaluation via Reading Comprehension
- From-Ground-To-Objects: Coarse-to-Fine Self-supervised Monocular Depth Estimation of Dynamic Objects with Ground Contact Prior
- Bayesian Estimate of Mean Proper Scores for Diversity-Enhanced Active Learning
- SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation Imagery
- FoMo: Multi-Modal, Multi-Scale and Multi-Task Remote Sensing Foundation Models for Forest Monitoring
- Focus on Your Instruction: Fine-grained and Multi-instruction Image Editing by Attention Modulation
- NM-FlowGAN: Modeling sRGB Noise without Paired Images using a Hybrid Approach of Normalizing Flows and GAN
- Plasticine3D: 3D Non-Rigid Editing with Text Guidance by Multi-View Embedding Optimization
- Enhancing Cognitive Diagnosis using Un-interacted Exercises: A Collaboration-aware Mixed Sampling Approach
All 291
- Enlighten-Your-Voice: When Multimodal Meets Zero-shot Low-light Image Enhancement
- Privacy-Aware Document Visual Question Answering
- Towards Context-Aware Domain Generalization: Understanding the Benefits and Limits of Marginal Transfer Learning
- SeiT++: Masked Token Modeling Improves Storage-efficient Training
- Robust Estimation of Causal Heteroscedastic Noise Models
- A Review of Repository Level Prompting for LLMs
- Point Transformer V3: Simpler, Faster, Stronger
- SlimmeRF: Slimmable Radiance Fields
- Challenges with unsupervised LLM knowledge discovery
- Accelerating Neural Network Training: A Brief Review
- Understanding Probe Behaviors through Variational Bounds of Mutual Information
- Faithful Persona-based Conversational Dataset Generation with Large Language Models
- Symplectic Autoencoders for Model Reduction of Hamiltonian Systems
- Modeling Unknown Stochastic Dynamical System via Autoencoder
- SAT-Based Algorithms for Regular Graph Pattern Matching
- LLaMAntino: LLaMA 2 Models for Effective Text Generation in Italian Language
- Towards Architecture-Agnostic Untrained Network Priors for Image Reconstruction with Frequency Regularization
- ACPO: AI-Enabled Compiler Framework
- Small jet engine reservoir computing digital twin
- GreenLightningAI: An Efficient AI System with Decoupled Structural and Quantitative Knowledge
- Nearest Neighbor Sampling for Covariate Shift Adaptation
- Human Perception-Inspired Grain Segmentation Refinement Using Conditional Random Fields
- Data and Approaches for German Text simplification -- towards an Accessibility-enhanced Communication
- Symbolic Numeric Planning with Patterns
- Risk-Aware Continuous Control with Neural Contextual Bandits
- Distilling Large Language Models for Matching Patients to Clinical Trials
- DHFormer: A Vision Transformer-Based Attention Module for Image Dehazing
- Deep Reinforcement Learning for Joint Cruise Control and Intelligent Data Acquisition in UAVs-Assisted Sensor Networks
- Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations
- Sketch and shift: a robust decoder for compressive clustering
- Quantum Generative Adversarial Networks: Bridging Classical and Quantum Realms
- Assume-Guarantee Reinforcement Learning
- LogoStyleFool: Vitiating Video Recognition Systems via Logo Style Transfer
- RDR: the Recap, Deliberate, and Respond Method for Enhanced Language Understanding
- Neurosymbolic Value-Inspired AI (Why, What, and How)
- FuXi-S2S: A machine learning model that outperforms conventional global subseasonal forecast models
- CNC-Net: Self-Supervised Learning for CNC Machining Operations
- A Unifying Tensor View for Lightweight CNNs
- Red AI? Inconsistent Responses from GPT3.5 Models on Political Issues in the US and China
- LAENeRF: Local Appearance Editing for Neural Radiance Fields
- Reliable Probabilistic Classification with Neural Networks
- TMP: Temporal Motion Propagation for Online Video Super-Resolution
- Exploring Automatic Text Simplification of German Narrative Documents
- Sample-Efficient Learning to Solve a Real-World Labyrinth Game Using Data-Augmented Model-Based Reinforcement Learning
- SQA-SAM: Segmentation Quality Assessment for Medical Images Utilizing the Segment Anything Model
- A Novel Dataset for Financial Education Text Simplification in Spanish
- Generative Context-aware Fine-tuning of Self-supervised Speech Models
- PathoDuet: Foundation Models for Pathological Slide Analysis of H&E and IHC Stains
- Grammatical information in BERT sentence embeddings as two-dimensional arrays
- Probabilistic learning of the Purkinje network from the electrocardiogram
- Simple Weak Coresets for Non-Decomposable Classification Measures
- Dynamic Heterogeneous Federated Learning with Multi-Level Prototypes
- Information Extraction from Unstructured data using Augmented-AI and Computer Vision
- Automatic Image Colourizer
- ChemTime: Rapid and Early Classification for Multivariate Time Series Classification of Chemical Sensors
- Learning in Online Principal-Agent Interactions: The Power of Menus
- PLGSLAM: Progressive Neural Scene Represenation with Local to Global Bundle Adjustment
- Automating reward function configuration for drug design
- Automatic Rao-Blackwellization for Sequential Monte Carlo with Belief Propagation
- Deep Unsupervised Domain Adaptation for Time Series Classification: a Benchmark
- Q-Segment: Segmenting Images In-Sensor for Vessel-Based Medical Diagnosis
- Learning Distributions on Manifolds with Free-Form Flows
- Learned Regularization for Inverse Problems: Insights from a Spectral Model
- Disentangling Linear Mode-Connectivity
- Data-Driven Socio-Economic Deprivation Prediction via Dimensionality Reduction: The Power of Diffusion Maps
- Fragility, Robustness and Antifragility in Deep Learning
- On the locality of local neural operator in learning fluid dynamics
- SMILE: Multimodal Dataset for Understanding Laughter in Video with Language Models
- Calibrated One Round Federated Learning with Bayesian Inference in the Predictive Space
- Structural Information Guided Multimodal Pre-training for Vehicle-centric Perception
- Improving Biomedical Entity Linking with Retrieval-enhanced Learning
- Concept Prerequisite Relation Prediction by Using Permutation-Equivariant Directed Graph Neural Networks
- Deep Event Visual Odometry
- IQNet: Image Quality Assessment Guided Just Noticeable Difference Prefiltering For Versatile Video Coding
- Part Representation Learning with Teacher-Student Decoder for Occluded Person Re-identification
- PAC-Bayes Generalisation Bounds for Dynamical Systems Including Stable RNNs
- End-to-End Training of Neural Networks for Automotive Radar Interference Mitigation
- Optimization meets Machine Learning: An Exact Algorithm for Semi-Supervised Support Vector Machines
- Collaborating Foundation Models for Domain Generalized Semantic Segmentation
- Physics-informed Neural Network Estimation of Material Properties in Soft Tissue Nonlinear Biomechanical Models
- RJUA-QA: A Comprehensive QA Dataset for Urology
- Keep the Faith: Faithful Explanations in Convolutional Neural Networks for Case-Based Reasoning
- GSQA: An End-to-End Model for Generative Spoken Question Answering
- RANRAC: Robust Neural Scene Representations via Random Ray Consensus
- Hypergraph-MLP: Learning on Hypergraphs without Message Passing
- A Comparative Evaluation of Additive Separability Tests for Physics-Informed Machine Learning
- In vivo learning-based control of microbial populations density in bioreactors
- Celestial Machine Learning: From Data to Mars and Beyond with AI Feynman
- Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach
- Attention-Based VR Facial Animation with Visual Mouth Camera Guidance for Immersive Telepresence Avatars
- VNN: Verification-Friendly Neural Networks with Hard Robustness Guarantees
- Bridging the Semantic-Numerical Gap: A Numerical Reasoning Method of Cross-modal Knowledge Graph for Material Property Prediction
- SLS4D: Sparse Latent Space for 4D Novel View Synthesis
- PELP: Pioneer Event Log Prediction Using Sequence-to-Sequence Neural Networks
- 3DAxiesPrompts: Unleashing the 3D Spatial Task Capabilities of GPT-4V
- HEAR: Hearing Enhanced Audio Response for Video-grounded Dialogue
- Learning of Hamiltonian Dynamics with Reproducing Kernel Hilbert Spaces
- LiteVSR: Efficient Visual Speech Recognition by Learning from Speech Representations of Unlabeled Data
- Tracking Skiers from the Top to the Bottom
- On the calibration of neural networks for histological slide-level classification
- Discovering Highly Influential Shortcut Reasoning: An Automated Template-Free Approach
- Let All be Whitened: Multi-teacher Distillation for Efficient Visual Retrieval
- ParsNets: A Parsimonious Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning
- GraphRARE: Reinforcement Learning Enhanced Graph Neural Network with Relative Entropy
- Gradient Based Hybridization of PSO
- Social, Legal, Ethical, Empathetic, and Cultural Rules: Compilation and Reasoning (Extended Version)
- Robustness Verification of Deep Reinforcement Learning Based Control Systems using Reward Martingales
- Prompting Large Language Models for Topic Modeling
- Quilt: Robust Data Segment Selection against Concept Drifts
- Exploring the Feasibility of Generating Realistic 3D Models of Endangered Species Using DreamGaussian: An Analysis of Elevation Angle's Impact on Model Generation
- Urban Region Embedding via Multi-View Contrastive Prediction
- nuScenes Knowledge Graph -- A comprehensive semantic representation of traffic scenes for trajectory prediction
- Optimal Regret Bounds for Collaborative Learning in Bandits
- Style Generation in Robot Calligraphy with Deep Generative Adversarial Networks
- InstructPipe: Generating Visual Blocks Pipelines with Human Instructions and LLMs
- Probing Pretrained Language Models with Hierarchy Properties
- FlowMur: A Stealthy and Practical Audio Backdoor Attack with Limited Knowledge
- Toward Deep Drum Source Separation
- Algorithms for automatic intents extraction and utterances classification for goal-oriented dialogue systems
- What to Remember: Self-Adaptive Continual Learning for Audio Deepfake Detection
- Exact Algorithms and Lowerbounds for Multiagent Pathfinding: Power of Treelike Topology
- Fine-Tuned Self-Supervised Speech Representations for Language Diarization in Multilingual Code-Switched Speech
- Ins-HOI: Instance Aware Human-Object Interactions Recovery
- Multiple Instance Learning for Uplift Modeling
- Unsupervised and Supervised learning by Dense Associative Memory under replica symmetry breaking
- A Malware Classification Survey on Adversarial Attacks and Defences
- Vectorizing string entries for data processing on tables: when are larger language models better?
- Pixel-Superpixel Contrastive Learning and Pseudo-Label Correction for Hyperspectral Image Clustering
- TF-CLIP: Learning Text-free CLIP for Video-based Person Re-Identification
- A novel dual-stream time-frequency contrastive pretext tasks framework for sleep stage classification
- Rethinking Causal Relationships Learning in Graph Neural Networks
- TOP-ReID: Multi-spectral Object Re-Identification with Token Permutation
- A Synthesis of Green Architectural Tactics for ML-Enabled Systems
- Semantic-Aware Transformation-Invariant RoI Align
- Variational excess risk bound for general state space models
- Reliable Prediction Intervals with Regression Neural Networks
- Stethoscope-guided Supervised Contrastive Learning for Cross-domain Adaptation on Respiratory Sound Classification
- Binary Code Summarization: Benchmarking ChatGPT/GPT-4 and Other Large Language Models
- CLAF: Contrastive Learning with Augmented Features for Imbalanced Semi-Supervised Learning
- Deep Generative Models for Detector Signature Simulation: A Taxonomic Review
- Density Matters: Improved Core-set for Active Domain Adaptive Segmentation
- Improving Cross-domain Few-shot Classification with Multilayer Perceptron
- NeuroFlow: Development of lightweight and efficient model integration scheduling strategy for autonomous driving system
- Joint State Estimation and Noise Identification Based on Variational Optimization
- Multiscale Vision Transformer With Deep Clustering-Guided Refinement for Weakly Supervised Object Localization
- Leveraging Language ID to Calculate Intermediate CTC Loss for Enhanced Code-Switching Speech Recognition
- Phoneme-aware Encoding for Prefix-tree-based Contextual ASR
- MobileSAMv2: Faster Segment Anything to Everything
- Self-Supervised Learning for Anomalous Sound Detection
- SegRap2023: A Benchmark of Organs-at-Risk and Gross Tumor Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma
- IR-UWB Radar-Based Contactless Silent Speech Recognition of Vowels, Consonants, Words, and Phrases
- Extending Context Window of Large Language Models via Semantic Compression
- CAGE: Controllable Articulation GEneration
- Investigating Responsible AI for Scientific Research: An Empirical Study
- STEAM & MoSAFE: SOTIF Error-and-Failure Model & Analysis for AI-Enabled Driving Automation
- Towards Transferable Targeted 3D Adversarial Attack in the Physical World
- Embodied Laser Attack:Leveraging Scene Priors to Achieve Agent-based Robust Non-contact Attacks
- Learning-based Axial Video Motion Magnification
- Integrating AI and Learning Analytics for Data-Driven Pedagogical Decisions and Personalized Interventions in Education
- On a Functional Definition of Intelligence
- Does GPT-4 surpass human performance in linguistic pragmatics?
- Picking the Underused Heads: A Network Pruning Perspective of Attention Head Selection for Fusing Dialogue Coreference Information
- A Novel Hybrid Ordinal Learning Model with Health Care Application
- Situation-Dependent Causal Influence-Based Cooperative Multi-agent Reinforcement Learning
- AEGIS-Net: Attention-guided Multi-Level Feature Aggregation for Indoor Place Recognition
- Riveter: Measuring Power and Social Dynamics Between Entities
- WeatherProof: A Paired-Dataset Approach to Semantic Segmentation in Adverse Weather
- Adversarial Robustness on Image Classification with k-means
- Grounding for Artificial Intelligence
- Can Physician Judgment Enhance Model Trustworthiness? A Case Study on Predicting Pathological Lymph Nodes in Rectal Cancer
- TIFace: Improving Facial Reconstruction through Tensorial Radiance Fields and Implicit Surfaces
- Hierarchical Graph Pattern Understanding for Zero-Shot VOS
- DriveTrack: A Benchmark for Long-Range Point Tracking in Real-World Videos
- SlowTrack: Increasing the Latency of Camera-based Perception in Autonomous Driving Using Adversarial Examples
- CGS-Mask: Making Time Series Predictions Intuitive for All
- MONET: Modality-Embracing Graph Convolutional Network and Target-Aware Attention for Multimedia Recommendation
- IndicIRSuite: Multilingual Dataset and Neural Information Models for Indian Languages
- Adaptive Integration of Partial Label Learning and Negative Learning for Enhanced Noisy Label Learning
- Combinatorial Complexes: Bridging the Gap Between Cell Complexes and Hypergraphs
- EDA: Evolving and Distinct Anchors for Multimodal Motion Prediction
- Neural Gaussian Similarity Modeling for Differential Graph Structure Learning
- Image Deblurring using GAN
- No-Skim: Towards Efficiency Robustness Evaluation on Skimming-based Language Models
- Multi-stage Learning for Radar Pulse Activity Segmentation
- Sequence adaptive field-imperfection estimation (SAFE): retrospective estimation and correction of B1^+ and B0 inhomogeneities for enhanced MRF quantification
- Unraveling Batch Normalization for Realistic Test-Time Adaptation
- Continual Adversarial Defense
- TAB: Text-Align Anomaly Backbone Model for Industrial Inspection Tasks
- Entropy Causal Graphs for Multivariate Time Series Anomaly Detection
- OTOv3: Automatic Architecture-Agnostic Neural Network Training and Compression from Structured Pruning to Erasing Operators
- Prediction of rare events in the operation of household equipment using co-evolving time series