:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Liu, Xinran, Sharma, Shansita D., Kolouri, Soheil
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2509.16379
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Low-Rank Prehab: Preparing Neural Networks for SVD Compression
by: Qin, Haoran, et al.
Published: (2025)

Zero Sum SVD: Balancing Loss Sensitivity for Low Rank LLM Compression
by: Abbasi, Ali, et al.
Published: (2026)

OT-MeanFlow3D: Bridging Optimal Transport and Meanflow for Efficient 3D Point Cloud Generation
by: Akbari, Elaheh, et al.
Published: (2025)

Min Generalized Sliced Gromov Wasserstein: A Scalable Path to Gromov Wasserstein
by: Shahbazi, Ashkan, et al.
Published: (2026)

Constrained Sliced Wasserstein Embedding
by: NaderiAlizadeh, Navid, et al.
Published: (2025)

Equivariant vs. Invariant Layers: A Comparison of Backbone and Pooling for Point Cloud Classification
by: Kothapalli, Abihith, et al.
Published: (2023)

ESPFormer: Doubly-Stochastic Attention with Expected Sliced Transport Plans
by: Shahbazi, Ashkan, et al.
Published: (2025)

Partial Gromov-Wasserstein Metric
by: Bai, Yikun, et al.
Published: (2024)

ConQuR: Corner Aligned Activation Quantization via Optimized Rotations for LLMs
by: Thrash, Chayne, et al.
Published: (2026)

Physics informed cell representations for variational formulation of multiscale problems
by: Gao, Yuxiang, et al.
Published: (2024)

Expected Sliced Transport Plans
by: Liu, Xinran, et al.
Published: (2024)

Stereographic Spherical Sliced Wasserstein Distances
by: Tran, Huy, et al.
Published: (2024)

LUNA: Linear Universal Neural Attention with Generalization Guarantees
by: Shahbazi, Ashkan, et al.
Published: (2025)

Sinkhorn-Drifting Generative Models
by: He, Ping, et al.
Published: (2026)

IO-SVD: Input-Output Whitened SVD for Adaptive-Rank LLM Compression
by: Abbasi, Ali, et al.
Published: (2026)

Linear Spherical Sliced Optimal Transport: A Fast Metric for Comparing Spherical Data
by: Liu, Xinran, et al.
Published: (2024)

One Category One Prompt: Dataset Distillation using Diffusion Models
by: Abbasi, Ali, et al.
Published: (2024)

Fused Partial Gromov-Wasserstein for Structured Objects
by: Bai, Yikun, et al.
Published: (2025)

Linear Partial Gromov-Wasserstein Embedding
by: Bai, Yikun, et al.
Published: (2024)

LOTFormer: Doubly-Stochastic Linear Attention via Low-Rank Optimal Transport
by: Shahbazi, Ashkan, et al.
Published: (2025)

Statistical Context Detection for Deep Lifelong Reinforcement Learning
by: Dick, Jeffery, et al.
Published: (2024)

Linear Optimal Partial Transport Embedding
by: Bai, Yikun, et al.
Published: (2023)

Policy Search, Retrieval, and Composition via Task Similarity in Collaborative Agentic Systems
by: Nath, Saptarshi, et al.
Published: (2025)

MCNC: Manifold-Constrained Reparameterization for Neural Compression
by: Thrash, Chayne, et al.
Published: (2024)

Understanding Learning with Sliced-Wasserstein Requires Rethinking Informative Slices
by: Tran, Huy, et al.
Published: (2024)

Efficient Transferable Optimal Transport via Min-Sliced Transport Plans
by: Liu, Xinran, et al.
Published: (2025)

Taking a Moment for Distributional Robustness
by: Hastings, Jabari, et al.
Published: (2024)

Capacity-Aware Mixture Law Enables Efficient LLM Data Optimization
by: Li, Jingwei, et al.
Published: (2026)

Information Consistent Pruning: How to Efficiently Search for Sparse Networks?
by: Gharatappeh, Soheil, et al.
Published: (2025)

Loki: Low-rank Keys for Efficient Sparse Attention
by: Singhania, Prajwal, et al.
Published: (2024)

NeuroBOLT: Resting-state EEG-to-fMRI Synthesis with Multi-dimensional Feature Mapping
by: Li, Yamin, et al.
Published: (2024)

A Quadratic Synchronization Rule for Distributed Deep Learning
by: Gu, Xinran, et al.
Published: (2023)

Robust Uncertainty Estimation under Distribution Shift via Difference Reconstruction
by: Xu, Xinran, et al.
Published: (2026)

Decomposing and Interpreting Image Representations via Text in ViTs Beyond CLIP
by: Balasubramanian, Sriram, et al.
Published: (2024)

Distance-Preserving Representations for Genomic Spatial Reconstruction
by: Zhou, Wenbin, et al.
Published: (2024)

Moment Matching Q-Learning
by: Yiyan, et al.
Published: (2026)

Moments Matter:Stabilizing Policy Optimization using Return Distributions
by: Jabs, Dennis, et al.
Published: (2026)

GAdaBoost: An Efficient and Robust AdaBoost Algorithm Based on Granular-Ball Structure
by: Xie, Qin, et al.
Published: (2025)

Explanation-Preserving Augmentation for Semi-Supervised Graph Representation Learning
by: Chen, Zhuomin, et al.
Published: (2024)

Improving Adaptive Moment Optimization via Preconditioner Diagonalization
by: Nguyen, Son, et al.
Published: (2025)