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AI & Data Science Preprint PDF DOI

3D-ReGen: A Unified 3D Geometry Regeneration Framework

Geon Yeong Park, Roman Shapovalov, Rakesh Ranjan, Jong Chul Ye, Andrea Vedaldi, Thu Nguyen-Phuoc · 2026

We consider the problem of regenerating 3D objects from 2D images and initial 3D shapes. Most 3D generators operate in a one-shot fashion, converting text or images to a 3D object with limited control…

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AI & Data Science Preprint PDF DOI

SECOS: Semantic Capture for Rigorous Classification in Open-World Semi-Supervised Learning

Hezhao Liu, Jiacheng Yang, Junlong Gao, Mengke Li, Yiqun Zhang, Shreyank N Gowda, Yang Lu · 2026

In open-world semi-supervised learning (OWSSL), a model learns from labeled data and unlabeled data containing both known and novel classes. In practical OWSSL applications, models are expected to per…

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AI & Data Science Preprint PDF DOI

Learning from a single labeled face and a stream of unlabeled data

Branislav Kveton, Michal Valko · 2026

Face recognition from a single image per person is a challenging problem because the training sample is extremely small. We consider a variation of this problem. In our problem, we recognize only one …

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AI & Data Science Preprint PDF DOI

Uni-HOI:A Unified framework for Learning the Joint distribution of Text and Human-Object Interaction

Mengfei Zhang, Jinlu Zhang, Zhigang Tu · 2026

Modeling 4D human-object interaction (HOI) is a compelling challenge in computer vision and an essential technology powering virtual and mixed-reality applications. While existing works have achieved …

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AI & Data Science Preprint PDF DOI

PRTS: A Primitive Reasoning and Tasking System via Contrastive Representations

Yang Zhang, Jiangyuan Zhao, Chenyou Fan, Fangzheng Yan, Tian Li, Haitong Tang, Sen Fu, Xuan'er Wu, Qizhen Weng, Weinan Zhang, Xiu Li, Chi Zhang, Chenjia Bai, Xuelong Li · 2026

Vision-Language-Action (VLA) models advance robotic control via strong visual-linguistic priors. However, existing VLAs predominantly frame pretraining as supervised behavior cloning, overlooking the …

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AI & Data Science Preprint PDF DOI

Improving Graph Few-shot Learning with Hyperbolic Space and Denoising Diffusion

Yonghao Liu, Jialu Sun, Wei Pang, Fausto Giunchiglia, Ximing Li, Xiaoyue Feng, Renchu Guan · 2026

Graph few-shot learning, which focuses on effectively learning from only a small number of labeled nodes to quickly adapt to new tasks, has garnered significant research attention. Despite recent adva…

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AI & Data Science Preprint PDF DOI

Safe Bilevel Delegation (SBD): A Formal Framework for Runtime Delegation Safety in Multi-Agent Systems

Yuan Sun · 2026

As large language model (LLM) agents are deployed in high-stakes environments, the question of how safely to delegate subtasks to specialized sub-agents becomes critical. Existing work addresses multi…

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Physics Preprint PDF DOI

Q3SAT-GPT: A Generative Model for Discovering Quantum Circuits for the 3-SAT Problem

Pratim Ugale, Ilya Tyagin, Karunya Shirali, Kien X. Nguyen, Ilya Safro · 2026

This work introduces Q3SAT-GPT, a generative model for discovering quantum circuits for the Max-E3-SAT problem. Our method learns from high-performing QAOA-style ans\"atze to directly generate candida…

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AI & Data Science Preprint PDF DOI

Mechanized Foundations of Structural Governance: Machine-Checked Proofs for Governed Intelligence

Alan L. McCann · 2026

We present five results in the theory of structural governance for cognitive workflow systems. Three are mechanized in Coq 8.19 using the Interaction Trees library with parameterized coinduction; two …

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Computer Science Preprint PDF DOI

Unified Data Discovery across Query Modalities and User Intents

Tingting Wang, Shixun Huang, Zhifeng Bao, J. Shane Culpepper, Shazia Sadiq, Volkan Dedeoglu, Reza Arablouei · 2026

Data discovery - retrieving relevant tables from a data lake in response to user queries - is a fundamental building block for downstream analytics. In practice, data discovery must support different …

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Earth & Environmental Sciences Preprint PDF DOI

Meta-learning-enhanced implicit full waveform inversion

Huan Song, Shijun Cheng, Huanhuan Tang, Wei Ouyang, Weijian Mao · 2026

Implicit full waveform inversion (IFWI) introduces implicit neural representations to parameterize the subsurface velocity model as a continuous function of spatial coordinates, which alleviates the d…

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Engineering Preprint PDF DOI

Rule-based High-Level Coaching for Goal-Conditioned Reinforcement Learning in Search-and-Rescue UAV Missions Under Limited-Simulation Training

Mahya Ramezani, Holger Voos · 2026

This paper presents a hierarchical decision-making framework for unmanned aerial vehicle (UAV) missions motivated by search-and-rescue (SAR) scenarios under limited simulation training. The framework …

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AI & Data Science Preprint PDF DOI

Semi-supervised learning with max-margin graph cuts

Branislav Kveton, Michal Valko, Ali Rahimi, Ling Huang · 2026

This paper proposes a novel algorithm for semisupervised learning. This algorithm learns graph cuts that maximize the margin with respect to the labels induced by the harmonic function solution. We mo…

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Computer Science Preprint PDF DOI

When to Retrieve During Reasoning: Adaptive Retrieval for Large Reasoning Models

Dongxin Guo, Jikun Wu, Siu Ming Yiu · 2026

Large reasoning models such as DeepSeek-R1 and OpenAI o1 generate extended chains of thought spanning thousands of tokens, yet their integration with retrieval-augmented generation (RAG) remains funda…

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Physics Preprint PDF DOI

TwinSpecNet: Extending APOGEE's chemical reach to low-S/N spectra via empirical paired learning

Weijia Sun, Cristina Chiappini, Samir Nepal · 2026

Large spectroscopic surveys rely on automated pipelines to deliver homogeneous stellar labels, but a substantial fraction of observations are at low signal-to-noise ratio (S/N), where label estimates …

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AI & Data Science Preprint PDF DOI

Featurising Pixels from Dynamic 3D Scenes with Linear In-Context Learners

Nikita Araslanov, Martin Sundermeyer, Hidenobu Matsuki, David Joseph Tan, Federico Tombari · 2026

One of the most exciting applications of vision models involve pixel-level reasoning. Despite the abundance of vision foundation models, we still lack representations that effectively embed spatio-tem…

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Computer Science Preprint PDF DOI

Templates in Rewriting Induction

Kasper Hagens, Cynthia Kop · 2026

Rewriting Induction (RI) is a formal system in term rewriting to establish program equivalence. The recently defined Bounded RI for higher-order Logically Constrained Term Rewriting Systems (LCSTRSs) …

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AI & Data Science Preprint PDF DOI

Attribution-Guided Multimodal Deepfake Detection via Cross-Modal Forensic Fingerprints

Wasim Ahmad, Wei Zhang, Xuerui Mao · 2026

Audio-visual deepfakes have reached a level of realism that makes perceptual detection unreliable, threatening media integrity and biometric security. While multimodal detection has shown promise, mos…

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Physics Preprint PDF DOI

Integrable Deformations of the Breitenlohner-Maison Model from 4d Chern-Simons Theory

Meer Ashwinkumar, Matthias Blau · 2026

We derive integrable deformations of the 2d Breitenlohner-Maison (BM) sigma model that describes the stationary, axisymmetric sector of 4d general relativity, as well as higher-rank generalisations th…

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Physics Preprint PDF DOI

Semileptonic $B_q$ decays to heavy tensor mesons

Pietro Colangelo, Fulvia De Fazio, Carlo la Torre, Giuseppe Roselli · 2026

The semileptonic decays of $B_q$ mesons ($q=u,d,s$) to $J^P=2^+$ charmed mesons are investigated. The form factors parametrising the hadronic matrix elements of the weak vector and axial-vector quark …

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