Tagged articles

Optimal Transport

8 articles · Page 1 of 1

Oct 15, 2026 · Artificial Intelligence

SpecTr-GBV: Unifying Multi-Draft and Block Verification for Faster Speculative Decoding

SpecTr-GBV unifies multi-draft generation and greedy block verification into a single speculative decoding framework using optimal transport, achieving optimal expected acceptance length under conditionally independent couplings and outperforming SpecTr and GBV across five benchmarks with higher block efficiency and speedup.

Block VerificationConditionally Independent CouplingsGreedy Block Verification

0 likes · 14 min read

SpecTr-GBV: Unifying Multi-Draft and Block Verification for Faster Speculative Decoding

Data Party THU

Oct 14, 2026 · Artificial Intelligence

Optimal Transport Meets RL: A Survey from Distribution Matching to Robust Decisions

This 72-page survey explores how optimal transport provides geometric tools for comparing distributions in reinforcement learning, covering imitation learning, policy optimization, model-based RL, offline RL, robustness, and transfer, while analyzing design choices in cost functions, temporal handling, and computational trade-offs.

Distribution MatchingImitation LearningOffline RL

0 likes · 35 min read

Optimal Transport Meets RL: A Survey from Distribution Matching to Robust Decisions

Machine Learning Algorithms & Natural Language Processing

Jun 6, 2026 · Artificial Intelligence

Two Undergraduates Earn Best Student Paper Nomination at CVPR 2026

At CVPR 2026, two undergraduate researchers from Guangdong University of Technology secured a Best Student Paper nomination for their ChordEdit work, which introduces a low‑energy optimal‑transport framework for one‑step image editing and outperforms existing methods in speed, memory usage, and user preference.

Best Student PaperCVPR 2026ChordEdit

0 likes · 13 min read

Two Undergraduates Earn Best Student Paper Nomination at CVPR 2026

Machine Heart

Jun 6, 2026 · Artificial Intelligence

Undergrad Wins CVPR Best Student Paper Nomination Using an Old NVIDIA Titan GPU

The CVPR 2026 award list highlighted a paper titled “ChordEdit: One-Step Low-Energy Transport for Image Editing,” authored primarily by a third‑year undergraduate who used an older NVIDIA Titan GPU to achieve model‑agnostic, training‑free, high‑fidelity one‑step image editing with minimal compute, earning an oral presentation slot and a Best Student Paper nomination.

CVPR 2026Optimal Transportcomputer vision

0 likes · 7 min read

Undergrad Wins CVPR Best Student Paper Nomination Using an Old NVIDIA Titan GPU

JD Retail Technology

Jun 2, 2026 · Artificial Intelligence

RTPrune: Two‑Stage Reading‑Inspired Token Pruning for Efficient DeepSeek‑OCR Inference

The paper presents RTPrune, a token‑pruning technique for DeepSeek‑OCR that exploits a two‑stage reading behavior in LLM decoding, first keeping high‑norm visual tokens and then fusing the rest via optimal‑transport matching with a dynamic pruning‑rate strategy, achieving up to 15% GFLOPs reduction and 18.9% speedup while preserving over 99% OCR accuracy across multiple benchmarks.

DeepSeek-OCROCR efficiencyOptimal Transport

0 likes · 9 min read

RTPrune: Two‑Stage Reading‑Inspired Token Pruning for Efficient DeepSeek‑OCR Inference

Machine Heart

Apr 25, 2026 · Artificial Intelligence

Enabling Unseen Language QA Without Training LLMs: XBridge’s Plug‑in Multilingual Extension

XBridge combines a pre‑trained English‑centric LLM with an external multilingual NMT model via optimal‑transport alignment and a three‑stage training scheme, allowing zero‑training of the LLM while achieving high‑quality question answering and generation for low‑resource and unseen languages, narrowing the performance gap with high‑resource languages.

LLMNMTOptimal Transport

0 likes · 8 min read

Enabling Unseen Language QA Without Training LLMs: XBridge’s Plug‑in Multilingual Extension

HyperAI Super Neural

Sep 15, 2025 · Artificial Intelligence

scSiameseClu Sets New SOTA on Unsupervised Single‑Cell Clustering Across 7 Datasets

The paper introduces scSiameseClu, a Siamese clustering framework that combines dual augmentation, siamese fusion, and optimal‑transport clustering to overcome representation collapse in scRNA‑seq data, and demonstrates state‑of‑the‑art performance on seven diverse single‑cell datasets and downstream annotation tasks.

ClusteringGraph Neural NetworkOptimal Transport

0 likes · 11 min read

scSiameseClu Sets New SOTA on Unsupervised Single‑Cell Clustering Across 7 Datasets

Didi Tech

Jul 24, 2025 · Artificial Intelligence

How to Estimate Long‑Term Heterogeneous Dose‑Response Curves with Unobserved Confounding

This article presents a data‑fusion framework that combines long‑term observational data and short‑term randomized experiments to identify and estimate long‑term heterogeneous dose‑response curves under continuous treatments and unobserved confounders, using reweighting, optimal transport, and balanced representation learning.

Machine LearningOptimal Transportcausal inference

0 likes · 19 min read

How to Estimate Long‑Term Heterogeneous Dose‑Response Curves with Unobserved Confounding