:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Liu, Anjie, Sun, Jinglang W., Ngo, Anh, Mabadeje, Ademide O., Hernandez-Mejia, Jose L.
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2402.15608
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Evaluating the Stability of Deep Learning Latent Feature Spaces
by: Mabadeje, Ademide O., et al.
Published: (2024)

Rigid Transformations for Stabilized Lower Dimensional Space to Support Subsurface Uncertainty Quantification and Interpretation
by: Mabadeje, Ademide O., et al.
Published: (2023)

MoD: A Distribution-Based Approach for Merging Large Language Models
by: Dang, Quy-Anh, et al.
Published: (2024)

Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't
by: Dang, Quy-Anh, et al.
Published: (2025)

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications
by: Wang, Donglin, et al.
Published: (2025)

GROOT: Effective Design of Biological Sequences with Limited Experimental Data
by: Tran, Thanh V. T., et al.
Published: (2024)

Efficient Off-Policy Learning for High-Dimensional Action Spaces
by: Otto, Fabian, et al.
Published: (2024)

Selective Steering: Norm-Preserving Control Through Discriminative Layer Selection
by: Dang, Quy-Anh, et al.
Published: (2026)

FuseDiff: Symmetry-Preserving Joint Diffusion for Dual-Target Structure-Based Drug Design
by: Wu, Jianliang, et al.
Published: (2026)

BlockDoor: Blocking Backdoor Based Watermarks in Deep Neural Networks
by: Puah, Yi Hao, et al.
Published: (2024)

Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning
by: Kuhn, Daniel, et al.
Published: (2019)

BindCLIP: A Unified Contrastive-Generative Representation Learning Framework for Virtual Screening
by: Qiao, Anjie, et al.
Published: (2026)

Research on Effectiveness Evaluation and Optimization of Baseball Teaching Method Based on Machine Learning
by: Sun, Shaoxuan, et al.
Published: (2024)

Cryptographic Backdoor for Neural Networks: Boon and Bane
by: Ngo, Anh Tu, et al.
Published: (2025)

A Retrospective of the Tutorial on Opportunities and Challenges of Online Deep Learning
by: Kulbach, Cedric, et al.
Published: (2024)

Machine Learning Model for Sparse PCM Completion
by: Koyuncu, Selcuk, et al.
Published: (2026)

Machine Learning Training Optimization using the Barycentric Correction Procedure
by: Ramos-Pulido, Sofia, et al.
Published: (2024)

Learning to Order: Task Sequencing as In-Context Optimization
by: Kobiolka, Jan, et al.
Published: (2026)

Directed Graph Grammars for Sequence-based Learning
by: Sun, Michael, et al.
Published: (2025)

Range-aware Positional Encoding via High-order Pretraining: Theory and Practice
by: Nguyen, Viet Anh, et al.
Published: (2024)

Optimizing Flamelet Generated Manifold Models: A Machine Learning Performance Study
by: Navaei, Reza Lotfi, et al.
Published: (2025)

Causes and Consequences of Representational Similarity in Machine Learning Models
by: Li, Zeyu Michael, et al.
Published: (2025)

Using Federated Machine Learning in Predictive Maintenance of Jet Engines
by: Barbosa, Asaph Matheus, et al.
Published: (2025)

Representation-Guided Discrete Molecular Graph Retrosynthesis
by: Huang, Jiahai, et al.
Published: (2026)

Performance Optimization of Ratings-Based Reinforcement Learning
by: Rose, Evelyn, et al.
Published: (2025)

Geometry-aware RL for Manipulation of Varying Shapes and Deformable Objects
by: Hoang, Tai, et al.
Published: (2025)

A Principle of Targeted Intervention for Multi-Agent Reinforcement Learning
by: Liu, Anjie, et al.
Published: (2025)

PHLoRA: data-free Post-hoc Low-Rank Adapter extraction from full-rank checkpoint
by: Vasani, Bhoomit, et al.
Published: (2025)

Hyperparameter Optimization in Machine Learning
by: Franceschi, Luca, et al.
Published: (2024)

Responsible Machine Learning via Mixed-Integer Optimization
by: Justin, Nathan, et al.
Published: (2025)

Predicting the Geothermal Gradient in Colombia: a Machine Learning Approach
by: Mejía-Fragoso, Juan Camilo, et al.
Published: (2024)

Optimizing Prompt Sequences using Monte Carlo Tree Search for LLM-Based Optimization
by: Yu, Fei Xu, et al.
Published: (2025)

Composable Score-based Graph Diffusion Model for Multi-Conditional Molecular Generation
by: Qiao, Anjie, et al.
Published: (2025)

Attack On Prompt: Backdoor Attack in Prompt-Based Continual Learning
by: Nguyen, Trang, et al.
Published: (2024)

Sharpness-Guided Group Relative Policy Optimization via Probability Shaping
by: Le, Tue, et al.
Published: (2025)

On the Design and Performance of Machine Learning Based Error Correcting Decoders
by: Yuan, Yuncheng, et al.
Published: (2024)

Fitting Multiple Machine Learning Models with Performance Based Clustering
by: Lorasdagi, Mehmet Efe, et al.
Published: (2024)

Security Risks in Machining Process Monitoring: Sequence-to-Sequence Learning for Reconstruction of CNC Axis Positions
by: Krupp, Lukas, et al.
Published: (2026)

A Novel Framework for Multi-Modal Protein Representation Learning
by: Zheng, Runjie, et al.
Published: (2025)

Persistence of Backdoor-based Watermarks for Neural Networks: A Comprehensive Evaluation
by: Ngo, Anh Tu, et al.
Published: (2025)