:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhang, Hantao, Wu, Jieke, Xu, Mingda, Hu, Xiao, You, Yingxuan, Fua, Pascal
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2603.06615
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Gradient-based Nested Co-Design of Aerodynamic Shape and Control for Winged Robots
by: Affinita, Daniele, et al.
Published: (2026)

PhysGen: Physically Grounded 3D Shape Generation for Industrial Design
by: You, Yingxuan, et al.
Published: (2025)

Variational Learning of Gaussian Process Latent Variable Models through Stochastic Gradient Annealed Importance Sampling
by: Xu, Jian, et al.
Published: (2024)

Progressive Inference-Time Annealing of Diffusion Models for Sampling from Boltzmann Densities
by: Akhound-Sadegh, Tara, et al.
Published: (2025)

Disentanglement of Variations with Multimodal Generative Modeling
by: Zhang, Yijie, et al.
Published: (2025)

IndexNet: Timestamp and Variable-Aware Modeling for Time Series Forecasting
by: Wu, Beiliang, et al.
Published: (2025)

Annealing Optimization for Progressive Learning with Stochastic Approximation
by: Mavridis, Christos, et al.
Published: (2022)

ESI: Epistemic Uncertainty Quantification via Semantic-preserving Intervention for Large Language Models
by: Li, Mingda, et al.
Published: (2025)

Gradient Aligned Regression via Pairwise Losses
by: Zhu, Dixian, et al.
Published: (2024)

GJDNet: Robust Graph Neural Networks via Joint Disentangled Learning Against Adversarial Attacks
by: Cui, Canyixing, et al.
Published: (2026)

Uncovering Singularities in Feynman Integrals via Machine Learning
by: Liu, Yuanche, et al.
Published: (2025)

Multimodal Fusion at Three Tiers: Physics-Driven Data Generation and Vision-Language Guidance for Brain Tumor Segmentation
by: Zhang, Mingda
Published: (2025)

Quantifying Multimodal Capabilities: Formal Generalization Guarantees in Pairwise Metric Learning
by: Zhou, Richeng, et al.
Published: (2026)

Two Heads Are Better than One: Simulating Large Transformers with Small Ones
by: Yu, Hantao, et al.
Published: (2025)

Dynamic Model Selection for Trajectory Prediction via Pairwise Ranking and Meta-Features
by: Bowen, Lu
Published: (2025)

Post Hoc Regression Refinement via Pairwise Rankings
by: Wijaya, Kevin Tirta, et al.
Published: (2025)

Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation
by: Jia, Chengxing, et al.
Published: (2024)

Disentangled Generative Graph Representation Learning
by: Hu, Xinyue, et al.
Published: (2024)

PaTaRM: Bridging Pairwise and Pointwise Signals via Preference-Aware Task-Adaptive Reward Modeling
by: Jian, Ai, et al.
Published: (2025)

Scaling and Transferability of Annealing Strategies in Large Language Model Training
by: Wang, Siqi, et al.
Published: (2025)

Norm Anchors Make Model Edits Last
by: Liu, Mingda, et al.
Published: (2026)

Compositional Generalization via Forced Rendering of Disentangled Latents
by: Liang, Qiyao, et al.
Published: (2025)

CoLiDR: Concept Learning using Aggregated Disentangled Representations
by: Sinha, Sanchit, et al.
Published: (2024)

From Abstract to Actionable: Pairwise Shapley Values for Explainable AI
by: Xu, Jiaxin, et al.
Published: (2025)

Pairwise Difference Learning for Classification
by: Belaid, Mohamed Karim, et al.
Published: (2024)

A3S: A General Active Clustering Method with Pairwise Constraints
by: Deng, Xun, et al.
Published: (2024)

DiffuSpeech: Silent Thought, Spoken Answer via Unified Speech-Text Diffusion
by: Lou, Yuxuan, et al.
Published: (2026)

Does higher interpretability imply better utility? A Pairwise Analysis on Sparse Autoencoders
by: Wang, Xu, et al.
Published: (2025)

Subgoal Graph-Augmented Planning for LLM-Guided Open-World Reinforcement Learning
by: Fan, Shanwei, et al.
Published: (2025)

Multi-layer matrix factorization for cancer subtyping using full and partial multi-omics dataset
by: Ren, Yingxuan, et al.
Published: (2024)

Understanding Agent Scaling in LLM-Based Multi-Agent Systems via Diversity
by: Yang, Yingxuan, et al.
Published: (2026)

Learning Domain- and Class-Disentangled Prototypes for Domain-Generalized EEG Emotion Recognition
by: Li, Guangli, et al.
Published: (2025)

Pairwise Calibrated Rewards for Pluralistic Alignment
by: Halpern, Daniel, et al.
Published: (2025)

Shift of Pairwise Similarities for Data Clustering
by: Chehreghani, Morteza Haghir
Published: (2021)

Sequential Representation Learning via Static-Dynamic Conditional Disentanglement
by: Simon, Mathieu Cyrille, et al.
Published: (2024)

Unsupervised Disentanglement of Content and Style via Variance-Invariance Constraints
by: Wu, Yuxuan, et al.
Published: (2024)

Less is More: Multimodal Region Representation via Pairwise Inter-view Learning
by: Namgung, Min, et al.
Published: (2025)

MirrorCheck: Efficient Adversarial Defense for Vision-Language Models
by: Fares, Samar, et al.
Published: (2024)

Single View Garment Reconstruction Using Diffusion Mapping Via Pattern Coordinates
by: Li, Ren, et al.
Published: (2025)

Temporally Detailed Hypergraph Neural ODEs for Disease Progression Modeling
by: Xiao, Tingsong, et al.
Published: (2025)