Ax Carles Domingo-Enrich, Jiequn Han 8d ago

Adjoint Matching through the Lens of the Stochastic Maximum Principle in Optimal Control

Theoretical framework for reward fine-tuning of diffusion models using stochastic optimal control and adjoint matching.

Ax Jun He, Deying Yu 8d ago

OpenKedge: Governing Agentic Mutation with Execution-Bound Safety and Evidence Chains

Protocol governing autonomous agent mutations with execution-bound safety checks and evidence chains for API-centric architectures.

Ax Yuki Kataoka, Masahiro Banno, Michihito Kyo, Shuri Nakao, Tomoo Sato, Shunsuke Taito, Tomohiro Takayama, Takahiro Tsuge, Yasushi Tsujimoto, Ryuhei So, Toshi A. Furukawa 8d ago

TiAb Review Plugin: A Browser-Based Tool for AI-Assisted Title and Abstract Screening

Open-source browser extension for AI-assisted title and abstract screening in literature review with no-code, serverless architecture.

Ax Tanzim Ahad, Ismail Hossain, Md Jahangir Alam, Sai Puppala, Yoonpyo Lee, Syed Bahauddin Alam, Sajedul Talukder 8d ago

Semantic Intent Fragmentation: A Single-Shot Compositional Attack on Multi-Agent AI Pipelines

Attack method on LLM orchestration systems where single requests decompose into benign subtasks that jointly violate security policies.

Ax Ponkoj Chandra Shill 8d ago

Detection of Hate and Threat in Digital Forensics: A Case-Driven Multimodal Approach

Multimodal approach for detecting hate and threats in digital forensic evidence combining images, documents, and text.

Ax Olivier Jeunen, Eleanor Hanna, Schaun Wheeler 8d ago

Sustained Impact of Agentic Personalisation in Marketing: A Longitudinal Case Study

Longitudinal case study of autonomous personalization systems in CRM with human-in-the-loop oversight requirements.

Ax Gustav Olaf Yunus Laitinen-Lundstr\"om Fredriksson-Imanov 8d ago

Spectral-Transport Stability and Benign Overfitting in Interpolating Learning

Theoretical framework analyzing generalization in overparameterized interpolating estimators via spectral-transport stability.

Ax Makanjuola Ogunleye, Eman Abdelrahman, Ismini Lourentzou 8d ago

3D-VCD: Hallucination Mitigation in 3D-LLM Embodied Agents through Visual Contrastive Decoding

Method to reduce hallucinations in 3D embodied AI agents using visual contrastive decoding on multimodal LLMs.

Ax Siddharth Mishra-Sharma, Tracy R. Slatyer, Yitian Sun, Yuqing Wu 8d ago

High-dimensional inference for the $\gamma$-ray sky with differentiable programming

Differentiable probabilistic programming for gamma-ray astrophysical analysis using GPU acceleration and vectorization.

Ax Dengjia Zhang, Alexander Martin, William Jurayj, Kenton Murray, Benjamin Van Durme, Reno Kriz 8d ago

Unified Multimodal Uncertain Inference

Multimodal inference task with text, audio, video for producing calibrated probability estimates of hypotheses with fine-grained uncertainty.

Ax Yingjie Yu, Mingyuan Wu, Ahmadreza Eslaminia, Lingzhi Zhao, Kaizhuo Yan, Klara Nahrstedt 8d ago

QoS-QoE Translation with Large Language Model

LLM application translating network quality metrics to user experience quality using large language models for multimedia systems.

Ax Vrushank Ahire, Vivek Kurumanghat, Mudasir Ganaie, Lipika Kabiraj 8d ago

Deep Learning-Based Tracking and Lineage Reconstruction of Ligament Breakup

Deep learning framework for tracking and reconstructing ligament lineage during liquid sheet breakup using multi-object tracking.

Ax Busra Caliskan, Ibrahim Gulatas, H. Hakan Kilinc, A. Halim Zaim 8d ago

RansomTrack: A Hybrid Behavioral Analysis Framework for Ransomware Detection

Hybrid behavioral analysis framework combining static and dynamic analysis for early-stage ransomware detection before file encryption.

Ax R. Seaton Ullberg, Megan C. Davis, Jeremy N. Schroeder, Andrew H. Salij, M. J. Cawkwell, Christopher J. Snyder, Wilton J. M. Kort-Kamp, Ivana Matanovic 8d ago

Active Learning for Generalizable Detonation Performance Prediction of Energetic Materials

Active learning strategy for predicting detonation performance of energetic materials using limited experimental data.

Ax Emily K. deJong, Nipun Gunawardena, Kevin Smalley, Hassan Beydoun, Peter Caldwell 8d ago

CERBERUS: A Three-Headed Decoder for Vertical Cloud Profiles

Probabilistic framework for inferring 3D cloud microphysical properties from 2D satellite observations for weather modeling.

Ax Mohamad H. Danesh, Chenhao Li, Amin Abyaneh, Anas Houssaini, Kirsty Ellis, Glen Berseth, Marco Hutter, Hsiu-Chin Lin 8d ago

Toward Hardware-Agnostic Quadrupedal World Models via Morphology Conditioning

Hardware-agnostic world models for quadrupedal robots using morphology conditioning to generalize across different robot embodiments.

Ax Nate Mathews, Nicholas Hopper, Matthew Wright 8d ago

Tracing the Chain: Deep Learning for Stepping-Stone Intrusion Detection

Deep learning approach for detecting stepping-stone intrusions by correlating network flows at relay hosts with low false positive rates.

Ax Xin Wen, Xi Chen, Will Wei Sun, Yichen Zhang 8d ago

Policy-Aware Design of Large-Scale Factorial Experiments

Statistical framework for designing large-scale factorial experiments with overlapping conditions on shared user populations.

Ax Zewei Zhou, Jiajun Zou, Jiajia Zhang, Ao Yang, Ruichao He, Haozheng Zhou, Ao Liu, Jiawei Liu, Leilei Jin, Shan Shen, Daying Sun 8d ago

R2G: A Multi-View Circuit Graph Benchmark Suite from RTL to GDSII

Multi-view circuit graph benchmark suite standardizing representations for GNN-based physical design tasks from RTL to GDSII.

Ax Fatih Cagatay Akyon, Alptekin Temizel 8d ago

SenBen: Sensitive Scene Graphs for Explainable Content Moderation

Scene graph benchmark for content moderation with spatial grounding and interpretability for detecting sensitive behavior in images.

Ax Mohammed Maaz Sibhai, Abedalrhman Alkhateeb, Saad B. Ahmed 8d ago

MedFormer-UR: Uncertainty-Routed Transformer for Medical Image Classification

Transformer architecture with uncertainty quantification for medical image classification, addressing overconfident predictions in clinical settings.

Ax Jinghan Zhang, Fengran Mo, Tharindu Cyril Weerasooriya, Ruimin Dai, Xiaoyan Han, Yanjie Fu, Dakuo Wang, Kunpeng Liu 8d ago

StaRPO: Stability-Augmented Reinforcement Policy Optimization

RL framework for improving LLM reasoning by optimizing for logical consistency and structural integrity of reasoning processes, not just final answers.

Ax Hengran Zhang, Minghao Tang, Keping Bi, Jiafeng Guo 8d ago

Beyond Relevance: Utility-Centric Retrieval in the LLM Era

Proposes utility-centric approach to information retrieval for RAG systems, optimizing retrieved documents for task completion rather than topical relevance.

Ax Yao Zhao 8d ago

A novel hybrid approach for positive-valued DAG learning

Novel algorithm for learning directed acyclic graphs from observational data with positive-valued variables using moment-ratio scoring.

Ax Harshith Kethavath, Weiming Hu 8d ago

Low-Data Supervised Adaptation Outperforms Prompting for Cloud Segmentation Under Domain Shift

Supervised adaptation of vision-language models outperforms prompting for cloud segmentation in remote sensing under domain shift.

Ax Haoran Zhan 8d ago

Online Quantile Regression for Nonparametric Additive Models

Projected functional gradient descent algorithm for online quantile regression in nonparametric additive models.

Ax Xiaoke Guo, Songze Li, Zhiqiang Liu, Zhaoyan Gong, Yuanxiang Liu, Huajun Chen, Wen Zhang 8d ago

ASTRA: Adaptive Semantic Tree Reasoning Architecture for Complex Table Question Answering

ASTRA: Adaptive semantic tree reasoning architecture for table question answering using LLMs with improved serialization and schema flexibility.

Ax Hiroya Ijima, Koichiro Yawata 8d ago

Hypergraph Neural Networks Accelerate MUS Enumeration

Hypergraph neural networks applied to enumerate Minimal Unsatisfiable Subsets in constraint satisfaction problems more efficiently.

Ax Andre Bacellar 8d ago

Regime-Conditional Retrieval: Theory and a Transferable Router for Two-Hop QA

Regime-conditional retrieval approach with transferable router for two-hop QA using surface-text predicates for routing decisions.

Ax Zedian Shao, Hongbin Liu, Yuepeng Hu, Neil Zhenqiang Gong 8d ago

Leave My Images Alone: Preventing Multi-Modal Large Language Models from Analyzing Images via Visual Prompt Injection

ImageProtector method prevents multi-modal LLMs from analyzing images via visual prompt injection for privacy protection.

Ax Wen Qiu, Zhiqiang He, Wei Zhao, Hiroshi Masui 8d ago

Plasticity-Enhanced Multi-Agent Mixture of Experts for Dynamic Objective Adaptation in UAVs-Assisted Emergency Communication Networks

Multi-agent mixture of experts with plasticity enhancement for UAV communication networks under non-stationary conditions using deep RL.

Ax Daniele Foffano, Arvid Eriksson, David Broman, Karl H. Johansson, Alexandre Proutiere 8d ago

Advantage-Guided Diffusion for Model-Based Reinforcement Learning

Proposes Advantage-Guided Diffusion for model-based RL using diffusion world models to reduce compounding errors in trajectory generation.

Ax Xingyu Shao, Zhiqiang Yan, Liangzheng Sun, Mengfan He, Chao Chen, Jinhui Zhang, Chunyu Li, Ziyang Meng 8d ago

Towards Lifelong Aerial Autonomy: Geometric Memory Management for Continual Visual Place Recognition in Dynamic Environments

Continual visual place recognition system for aerial autonomy addressing catastrophic forgetting using geometric memory management in dynamic environments.

Ax Parjanya Aditya Shukla, Shubham Kumar Nigam, Debtanu Datta, Balaramamahanthi Deepak Patnaik, Noel Shallum, Pradeep Reddy Vanga, Saptarshi Ghosh, Arnab Bhattacharya 8d ago

NyayaMind- A Framework for Transparent Legal Reasoning and Judgment Prediction in the Indian Legal System

NyayaMind framework for transparent legal judgment prediction in Indian courts using structured reasoning aligned with legal methodology.

Ax Akshit Jindal, Saket Anand, Chetan Arora, Vikram Goyal 8d ago

CLIP-Inspector: Model-Level Backdoor Detection for Prompt-Tuned CLIP via OOD Trigger Inversion

CLIP-Inspector framework for detecting backdoor attacks in prompt-tuned CLIP models via out-of-distribution trigger inversion.

Ax Mengxin Fu, Yuezun Li 8d ago

Detecting Diffusion-generated Images via Dynamic Assembly ForestsDetecting Diffusion-generated Images via Dynamic Assembly Forests

Dynamic Assembly Forest model detecting diffusion-generated images using ensemble methods, alternative to deep neural network approaches.

Ax Fran\c{c}ois Gard\`eres, Camille-Sovanneary Gauthier, Jean Ponce, Shizhe Chen 8d ago

FIRE-CIR: Fine-grained Reasoning for Composed Fashion Image Retrieval

FIRE-CIR framework for composed image retrieval using vision-language models with fine-grained reasoning about what to preserve and modify.

Ax Enrico Russo, Mohamed Amine Hamdi, Alessandro Ottaviano, Francesco Conti, Angelo Garofalo, Daniele Jahier Pagliari, Maurizio Palesi, Luca Benini, Alessio Burrello 8d ago

MATCHA: Efficient Deployment of Deep Neural Networks on Multi-Accelerator Heterogeneous Edge SoCs

MATCHA: DNN deployment framework generating concurrent schedules for heterogeneous multi-accelerator edge SoCs using constraint programming optimization.

Ax Silvan Vollmer, Niklas Pfister, Sebastian Weichwald 8d ago

Identifying Causal Effects Using a Single Proxy Variable

Theoretical framework for identifying causal effects using single proxy variables of unobserved confounders under completeness assumptions.

Ax Chi-Hieu Pham, Didier Benoit, Vincent Bourbonne, Ulrike Schick, Julien Bert 8d ago

A fast and Generic Energy-Shifting Transformer for Hybrid Monte Carlo Radiotherapy Calculation

Energy-Shifting deep learning framework for accelerating Monte Carlo dose calculation in radiotherapy by synthesizing distributions from monoenergetic inputs.

Ax Nazir Nayal, Christopher Wewer, Jan Eric Lenssen 8d ago

MixFlow: Mixed Source Distributions Improve Rectified Flows

MixFlow method improving diffusion models by using mixed source distributions instead of standard Gaussian to reduce generative path curvature.

Ax Avni Mittal 8d ago

Do LLMs Follow Their Own Rules? A Reflexive Audit of Self-Stated Safety Policies

Symbolic-Neural Consistency Audit (SNCA) framework that extracts LLM self-stated safety policies via prompts and verifies model adherence to them.

Ax Maciej Janicki, Aleksander Plocharski, Przemyslaw Musialski 8d ago

Beyond Segmentation: Structurally Informed Facade Parsing from Imperfect Images

YOLOv8-based facade parsing system augmented with alignment loss to enforce structural coherence in architectural element detection.

Ax Nikolas Klug, Michael Ulbrich, Marius Willner, Andr\'e Uschmajew 8d ago

Natural Riemannian gradient for learning functional tensor networks

Riemannian gradient descent approach for optimizing low-rank functional tensor networks on arbitrary loss functions beyond least-squares regression.

Ax Tianyu Zhou, Zihao Liang, Zehui Lu, Shaoshuai Mou 8d ago

Online Intention Prediction via Control-Informed Learning

Online intention prediction framework for autonomous systems using inverse reinforcement learning with time-varying objectives and unknown parameters.

Ax Ziyi Ding, Xiao-Ping Zhang 8d ago

Iterative Identification Closure: Amplifying Causal Identifiability in Linear SEMs

Iterative Identification Closure framework for determining causal identifiability in linear structural equation models with latent confounders.

Ax Siqi Chen, Zhiqiang Wang, Yili Shen, Xianqi Deng, Xi Cheng, Cheng-Wei Ju, Jun Yi, Guo Ling, Dieaa Alhmoud, Hui Guan, Zhou Lin 8d ago

Transferable FB-GNN-MBE Framework for Potential Energy Surfaces: Data-Adaptive Transfer Learning in Deep Learned Many-Body Expansion Theory

Fragment-based graph neural network integrated with many-body expansion theory for predicting potential energy surfaces in chemical systems.

Ax Simon J. Crouzet 8d ago

Biologically-Grounded Multi-Encoder Architectures as Developability Oracles for Antibody Design

CrossAbSense framework using protein language model encoders and attention decoders to predict antibody properties for therapeutic design validation.

Ax Prasad Nimantha Madusanka Ukwatta Hewage, Midhun Chakkravarthy, Ruvan Kumara Abeysekara 8d ago

Variational Quantum Physics-Informed Neural Networks for Hydrological PDE-Constrained Learning with Inherent Uncertainty Quantification

Hybrid quantum-classical physics-informed neural networks for hydrological modeling with uncertainty quantification using variational quantum circuits.

Ax Jie Huang, Bruno Loureiro, Stefano Sarao Mannelli 8d ago

Sharp description of local minima in the loss landscape of high-dimensional two-layer ReLU neural networks

Theoretical analysis of loss landscape in two-layer ReLU neural networks, characterizing local minima and their connection to stochastic gradient descent dynamics.