:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhao, Shenghan, Lin, Yuzhen, Yang, Ximeng, Lu, Qiaochu, Xue, Haozhong, Jiang, Gaozhe
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2511.19090
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Acoustic Structure Inverse Design and Optimization Using Deep Learning
by: Sun, Xuecong, et al.
Published: (2021)

From Bias to Behavior: Learning Bull-Bear Market Dynamics with Contrastive Modeling
by: Luo, Xiaotong, et al.
Published: (2025)

An Evaluation of Deep Learning Models for Stock Market Trend Prediction
by: Gil, Gonzalo Lopez, et al.
Published: (2024)

Behavior Backdoor for Deep Learning Models
by: Wang, Jiakai, et al.
Published: (2024)

Safeguarding LLM Fine-tuning via Push-Pull Distributional Alignment
by: Wang, Haozhong, et al.
Published: (2026)

Behavioral Embeddings of Programs: A Quasi-Dynamic Approach for Optimization Prediction
by: Pan, Haolin, et al.
Published: (2025)

Decision Focused Causal Learning for Direct Counterfactual Marketing Optimization
by: Zhou, Hao, et al.
Published: (2024)

FinBERT-BiLSTM: A Deep Learning Model for Predicting Volatile Cryptocurrency Market Prices Using Market Sentiment Dynamics
by: Hossain, Mabsur Fatin Bin, et al.
Published: (2024)

OminiControl: Minimal and Universal Control for Diffusion Transformer
by: Tan, Zhenxiong, et al.
Published: (2024)

Dynamic Graph Representation Learning for Passenger Behavior Prediction
by: Xie, Mingxuan, et al.
Published: (2024)

Probabilistic Prediction of Neural Dynamics via Autoregressive Flow Matching
by: Rogalla, Nicole, et al.
Published: (2026)

Robust Load Prediction of Power Network Clusters Based on Cloud-Model-Improved Transformer
by: Jiang, Cheng, et al.
Published: (2024)

Toward Unified Multimodal Representation Learning for Autonomous Driving
by: Tao, Ximeng, et al.
Published: (2026)

Benchmarking for Deep Uplift Modeling in Online Marketing
by: Liu, Dugang, et al.
Published: (2024)

Ultra-Early Prediction of Tipping Points: Integrating Dynamical Measures with Reservoir Computing
by: Li, Xin, et al.
Published: (2026)

Dynamic Latent Separation for Deep Learning
by: Tuan, Yi-Lin, et al.
Published: (2022)

Development and Validation of a Dynamic Kidney Failure Prediction Model based on Deep Learning: A Real-World Study with External Validation
by: Ma, Jingying, et al.
Published: (2025)

Analysis of Financial Risk Behavior Prediction Using Deep Learning and Big Data Algorithms
by: Yang, Haowei, et al.
Published: (2024)

BEACON: Behavioral Malware Classification with Large Language Model Embeddings and Deep Learning
by: Perera, Wadduwage Shanika, et al.
Published: (2025)

Bi-Level Decision-Focused Causal Learning for Large-Scale Marketing Optimization: Bridging Observational and Experimental Data
by: Zhang, Shuli, et al.
Published: (2025)

Forecast-Then-Optimize Deep Learning Methods
by: Jiang, Jinhang, et al.
Published: (2025)

A Universal Deep Learning Force Field for Molecular Dynamic Simulation and Vibrational Spectra Prediction
by: Ji, Shengjiao, et al.
Published: (2025)

Predicting E-commerce Purchase Behavior using a DQN-Inspired Deep Learning Model for enhanced adaptability
by: Jain, Aditi Madhusudan
Published: (2025)

Machine Learning and Deep Learning Models for Short Term Electricity Price Forecasting in Australia's National Electricity Market
by: Lu, Wei, et al.
Published: (2026)

Deep Model Predictive Optimization
by: Sacks, Jacob, et al.
Published: (2023)

Deep Learning-Based Prediction of Suspension Dynamics Performance in Multi-Axle Vehicles
by: Lin, Kai Chun, et al.
Published: (2024)

Plug-In Classification of Drift Functions in Diffusion Processes Using Neural Networks
by: Zhao, Yuzhen, et al.
Published: (2026)

Hierarchical Physics-Embedded Learning for Prediction and Discovery in Spatiotemporal Dynamical Systems
by: Wang, Xizhe, et al.
Published: (2025)

FedCVU: Federated Learning for Cross-View Video Understanding
by: Zhang, Shenghan, et al.
Published: (2026)

Demonstration-Guided Continual Reinforcement Learning in Dynamic Environments
by: Yang, Xue, et al.
Published: (2025)

Learning Joint Models of Prediction and Optimization
by: Kotary, James, et al.
Published: (2024)

Learning to erase quantum states: thermodynamic implications of quantum learning theory
by: Zhao, Haimeng, et al.
Published: (2025)

Local neural operator for solving transient partial differential equations on varied domains
by: Li, Hongyu, et al.
Published: (2022)

Geminet: Learning the Duality-based Iterative Process for Lightweight Traffic Engineering in Changing Topologies
by: Liu, Ximeng, et al.
Published: (2025)

Beyond State Consistency: Behavior Consistency in Text-Based World Models
by: Huang, Youling, et al.
Published: (2026)

APRIL: Active Partial Rollouts in Reinforcement Learning to Tame Long-tail Generation
by: Zhou, Yuzhen, et al.
Published: (2025)

Sparse Phased Array Optimization Using Deep Learning
by: Lu, David, et al.
Published: (2025)

Beyond Trend Following: Deep Learning for Market Trend Prediction
by: Berzal, Fernando, et al.
Published: (2024)

Deep Transfer Learning: Model Framework and Error Analysis
by: Jiao, Yuling, et al.
Published: (2024)

Any-step Dynamics Model Improves Future Predictions for Online and Offline Reinforcement Learning
by: Lin, Haoxin, et al.
Published: (2024)