Ax Vrushank Ahire, Vivek Kurumanghat, Mudasir Ganaie, Lipika Kabiraj 3d 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 3d 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 3d 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 3d 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 3d 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 3d 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 3d 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 3d 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 3d 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 3d 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 3d 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 3d 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 3d 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 3d 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 3d 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 3d 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 3d 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 3d 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 3d 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 3d 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 3d 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 3d 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 3d 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 3d 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 3d 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 3d 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 3d 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 3d 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 3d 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 3d 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 3d 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 3d 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 3d 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 3d 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 3d 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 3d 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 3d 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 3d 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 3d 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.

Ax Yannis Montreuil, Axel Carlier, Lai Xing Ng, Wei Tsang Ooi 3d ago

Beyond Augmented-Action Surrogates for Multi-Expert Learning-to-Defer

Learning-to-Defer framework that routes inputs to experts while selecting additional information (retrieved documents, tool outputs) to provide each expert, extending traditional routing systems.

Ax Siyuan Zhou, Hejun Wang, Hu Cheng, Jinxi Li, Dongsheng Wang, Junwei Jiang, Yixiao Jin, Jiayue Huang, Shiwei Mao, Shangjia Liu, Yafei Yang, Hongkang Song, Shenxing Wei, Zihui Zhang, Peng Huang, Shijie Liu, Zhengli Hao, Hao Li, Yitian Li, Wenqi Zhou, Zhihan Zhao, Zongqi He, Hongtao Wen, Shouwang Huang, Peng Yun, Bowen Cheng, Pok Kazaf Fu, Wai Kit Lai, Jiahao Chen, Kaiyuan Wang, Zhixuan Sun, Ziqi Li, Haochen Hu, Di Zhang, Chun Ho Yuen, Bing Wang, Zhihua Wang, Chuhang Zou, Bo Yang 3d ago

PhysInOne: Visual Physics Learning and Reasoning in One Suite

Large-scale synthetic dataset with 2M videos covering physical phenomena for training physics-aware AI systems.

Ax Solomiia Bilyk, Volodymyr Getmanskyi, Taras Firman 3d ago

Automated Instruction Revision (AIR): A Structured Comparison of Task Adaptation Strategies for LLM

Systematic comparison of LLM task adaptation strategies including instruction revision, prompt optimization, and retrieval methods.

Ax Wonbong Jang, Shikun Liu, Soubhik Sanyal, Juan Camilo Perez, Kam Woh Ng, Sanskar Agrawal, Juan-Manuel Perez-Rua, Yiannis Douratsos, Tao Xiang 3d ago

Rays as Pixels: Learning A Joint Distribution of Videos and Camera Trajectories

Video diffusion model learning joint distribution of video frames and camera trajectories for novel view synthesis.

Ax Mohammad Ali Vahedifar, Mojtaba Nazari, Qi Zhang 3d ago

Continuous Orthogonal Mode Decomposition: Haptic Signal Prediction in Tactile Internet

Neural network architecture for haptic signal prediction in tactile internet using mode decomposition.

Ax Sepideh Nikookar, Edward Tian, Harrison Hoffman, Matthew Parks, J. Lucas McKay, Yashar Kiarashi, Tommy T. Thomas, Alex Hall, David W. Wright, Gari D. Clifford 3d ago

An Open-Source, Open Data Approach to Activity Classification from Triaxial Accelerometry in an Ambulatory Setting

Open-source dataset and code for classifying human activity from accelerometer sensor data.

Ax Israt Jahan Mouri, Muhammad Ridowan, Muhammad Abdullah Adnan 3d ago

XFED: Non-Collusive Model Poisoning Attack Against Byzantine-Robust Federated Classifiers

Model poisoning attack on federated learning without client collusion using independent adversarial updates.

Ax Kyle Whitecross, Negin Rahimi 3d ago

RecaLLM: Addressing the Lost-in-Thought Phenomenon with Explicit In-Context Retrieval

Post-training method enabling LLMs to retrieve and reason over long-context information effectively.

Ax Stefan Andreas Baumann, Jannik Wiese, Tommaso Martorella, Mahdi M. Kalayeh, Bj\"orn Ommer 3d ago

Envisioning the Future, One Step at a Time

Video prediction model representing scene dynamics as sparse point trajectories for efficient future frame synthesis.

Ax Soroosh Tayebi Arasteh, Mehdi Joodaki, Mahshad Lotfinia, Sven Nebelung, Daniel Truhn 3d ago

Case-Grounded Evidence Verification: A Framework for Constructing Evidence-Sensitive Supervision

Framework for training LLMs to make evidence-dependent predictions by grounding supervision in case-specific evidence.

Ax Hadas Orgad, Boyi Wei, Kaden Zheng, Martin Wattenberg, Peter Henderson, Seraphina Goldfarb-Tarrant, Yonatan Belinkov 3d ago

Large Language Models Generate Harmful Content Using a Distinct, Unified Mechanism

Mechanistic study using weight pruning to identify unified internal mechanism LLMs use for generating harmful content.