Isolater - Feed

Ax Alexander Brenning, Thomas Suesse 4/1/2026

Aligning Validation with Deployment: Target-Weighted Cross-Validation for Spatial Prediction

Target-Weighted Cross-Validation method for improving predictive risk estimation in spatial prediction with structured data.

Ax Alan Sun, Mariya Toneva 4/1/2026

Tracking Equivalent Mechanistic Interpretations Across Neural Networks

Framework for discovering and validating mechanistic interpretations across neural networks to improve interpretability and generalization.

Ax Timon Klein, Jonas Kusch, Sebastian Sager, Stefan Schnake, Steffen Schotth\"ofer 4/1/2026

Tucker Attention: A generalization of approximate attention mechanisms

Research on Tucker attention as a generalization of approximate attention mechanisms like GQA and MLA using low-rank factorizations.

Ax Ming-Hua Tsai, Phat Tran 4/1/2026

Reward-Based Online LLM Routing via NeuralUCB

NeuralUCB-based cost-aware LLM routing algorithm that adapts online to model performance and cost, outperforming supervised routing baselines.

Ax Adrian Zhao, Zhenkun Cai, Zhenyu Song, Lingfan Yu, Haozheng Fan, Jun Wu, Yida Wang, Nandita Vijaykumar 4/1/2026

CRAFT: Cost-aware Expert Replica Allocation with Fine-Grained Layerwise Estimations

CRAFT: Cost-aware expert replica allocation for mixture-of-experts LLM serving with fine-grained layerwise load-balancing estimations.

Ax Subhadip Mitra 4/1/2026

Spark-LLM-Eval: A Distributed Framework for Statistically Rigorous Large Language Model Evaluation

Spark-LLM-Eval: Distributed framework for statistically rigorous evaluation of LLMs at scale across hundreds of thousands of samples.

Ax Dobrik Georgiev, Kheeran Naidu, Alberto Cattaneo, Federico Monti, Carlo Luschi, Daniel Justus 4/1/2026

UltRAG: a Universal Simple Scalable Recipe for Knowledge Graph RAG

UltRAG: Scalable recipe for knowledge graph RAG with LLMs to reduce hallucinations by integrating structured knowledge in context windows.

Ax Rongjun Dong, Xin Chen, Morgan R Alexander, Karthikeyan Sivakumar, Reza Omdivar, David A Winkler, Grazziela Figueredo 4/1/2026

DF-ACBlurGAN: Structure-Aware Conditional Generation of Internally Repeated Patterns for Biomaterial Microtopography Design

Conditional GAN for generating biomaterial microtopography with internally repeated periodic patterns and global structural consistency.

Ax Michael Bidollahkhani, Freja Nordsiek, Julian M. Kunkel 4/1/2026

When GPUs Fail Quietly: Observability-Aware Early Warning Beyond Numeric Telemetry

Early warning system for GPU failures using observability and structural signals beyond numeric telemetry for HPC and AI workloads.

Ax Yongzhi Huang 4/1/2026

Smartphone-Based Identification of Unknown Liquids via Active Vibration Sensing

Smartphone-based liquid identification using active vibration sensing and machine learning to measure viscosity differences.

Ax Faraz Shaikh, Gianluca Reali, Mauro Femminella 4/1/2026

Mitigating Temporal Blindness in Kubernetes Autoscaling: An Attention-Double-LSTM Framework

Attention-LSTM framework for Kubernetes autoscaling addressing temporal blindness in serverless workload orchestration using deep reinforcement learning.

Ax Carlos Cardona-Giraldo, Cristiano Fanelli, James Giroux, Cole Granger, Benjamin Nachman, Gerald Sabin 4/1/2026

Generalizable Foundation Models for Calorimetry via Mixtures-of-Experts and Parameter Efficient Fine Tuning

Foundation model for particle physics detector simulation using mixture-of-experts and parameter-efficient fine-tuning inspired by LLM techniques.

Ax Yibo Wang, Jiale Lao, Chen Zhang, Cehua Yang, Jianguo Wang, Mingjie Tang 4/1/2026

WAter: A Workload-Adaptive Knob Tuning System based on Workload Compression

ML-based database parameter tuning system using workload compression to reduce configuration evaluation cost and improve DBMS performance.

Ax Davi Rodrigues, Andrea Meo, Ali Hasan, Edoardo Piccolo, Adriano Di Pietro, Alessandro Magni, Marco Madami, Giovanni Finocchio, Mario Carpentieri, Michaela Kuepferling, Vito Puliafito 4/1/2026

Data-Driven Estimation of the interfacial Dzyaloshinskii-Moriya Interaction with Machine Learning

Machine learning approach for estimating interfacial Dzyaloshinskii-Moriya interaction strength in magnetic materials from experimental data.

Ax Haiyue Song, Masao Utiyama 4/1/2026

OptiMer: Optimal Distribution Vector Merging Is Better than Data Mixing for Continual Pre-Training

OptiMer: Method to optimize data mixture ratios for LLM continual pre-training by extracting and merging distribution vectors without fixed hyperparameters.

Ax Andre Bacellar 4/1/2026

Calibrated Fusion for Heterogeneous Graph-Vector Retrieval in Multi-Hop QA

Score calibration method for heterogeneous graph-vector retrieval fusion in multi-hop question answering using percentile-rank normalization.

Ax Alex Zongo, Filippos Fotiadis, Ufuk Topcu, Peng Wei 4/1/2026

Robust Multi-Agent Reinforcement Learning for Small UAS Separation Assurance under GPS Degradation and Spoofing

Multi-agent reinforcement learning approach for unmanned aircraft separation assurance under adversarial GPS degradation and spoofing.

Ax Gil Kur, Pierre Bizeul 4/1/2026

Minimum Norm Interpolation via The Local Theory of Banach Spaces: The Role of $2$-Uniform Convexity

Theoretical analysis of minimum-norm interpolation under 2-uniform convexity assumptions for understanding generalization in overparameterized neural networks.

Ax Mozhgan Pourkeshavatz, Tianran Liu, Nicholas Rhinehart 4/1/2026

AutoWorld: Scaling Multi-Agent Traffic Simulation with Self-Supervised World Models

Multi-agent traffic simulation framework using self-supervised world models to scale autonomous driving system testing with unlabeled sensor data.

Ax Chengyang Gu, Yuxin Pan, Hui Xiong, Yize Chen 4/1/2026

A Pontryagin Method of Model-based Reinforcement Learning via Hamiltonian Actor-Critic

Model-based reinforcement learning approach using Pontryagin methods and Hamiltonian actor-critic to address compounding model errors in long-horizon value estimation.

Ax Martin Legrand, Tao Jiang, Matthieu Feraud, Benjamin Navet, Yousouf Taghzouti, Fabien Gandon, Elise Dumont, Louis-F\'elix Nothias 4/1/2026

Mimosa Framework: Toward Evolving Multi-Agent Systems for Scientific Research

Mimosa: evolving multi-agent framework for autonomous scientific research that synthesizes and refines LLM-based agent workflows.

Ax Ali Tfaily, Youssef Diouane, Nathalie Bartoli, Michael Kokkolaras 4/1/2026

Transfer Learning in Bayesian Optimization for Aircraft Design

Transfer learning approach for Bayesian optimization applied to aircraft design problems.

Ax Matthew Loftus 4/1/2026

How much of persistent homology is topology? A quantitative decomposition for spin model phase transitions

Topological analysis of persistent homology for detecting phase transitions in spin models.

Ax Caio Vicentino 4/1/2026

PolarQuant: Optimal Gaussian Weight Quantization via Hadamard Rotation for LLM Compression

PolarQuant: post-training weight quantization method for LLM compression using Hadamard rotation and Gaussian optimization.

Ax Rhea Chowers, Oshri Naparstek, Udi Barzelay, Yair Weiss 4/1/2026

Is the Modality Gap a Bug or a Feature? A Robustness Perspective

Analysis of modality gaps in multi-modal models like CLIP from robustness perspective.

Ax Luke Bhan, Miroslav Krstic, Yuanyuan Shi 4/1/2026

Predictor-Based Output-Feedback Control of Linear Systems with Time-Varying Input and Measurement Delays via Neural-Approximated Prediction Horizons

Neural network approximation for inverse delay mapping in time-varying delay systems via operator learning.

Ax Yi Wei, Xufeng Cai, Jelena Diakonikolas 4/1/2026

Adaptive Delayed-Update Cyclic Algorithm for Variational Inequalities

Theoretical analysis of cyclic block coordinate optimization methods for variational inequalities.

Ax Chang Sun, Rui Shi, Tsukasa Koike, Tetsuro Sekine, Akio Morita, Tetsuya Sakai 4/1/2026

Segmentation of Gray Matters and White Matters from Brain MRI data

Medical imaging segmentation using foundation models like MedSAM for brain tissue classification from MRI data.

Ax Miles Farmer, Ekincan Ufuktepe, Anne Watson, Hialo Muniz Carvalho, Vadim Okun, Zineb Maasaoui, Kannappan Palaniappan 4/1/2026

Software Vulnerability Detection Using a Lightweight Graph Neural Network

GNN-based model for software vulnerability detection that offers better scalability than LLM approaches for code analysis tasks.

Ax Zhuowen Liang, Xiaotian Lin, Zhengxuan Zhang, Yuyu Luo, Haixun Wang, Nan Tang 4/1/2026

Long-Document QA with Chain-of-Structured-Thought and Fine-Tuned SLMs

LiteCoST framework for document QA using chain-of-structured-thought and fine-tuned small language models for high accuracy and low latency.

Ax Hillary Mutisya, John Mugane, Gavin Nyamboga, Brian Chege, Maryruth Gathoni 4/1/2026

The Thiomi Dataset: A Large-Scale Multimodal Corpus for Low-Resource African Languages

Thiomi: large-scale multimodal dataset with 600k+ text annotations and 385k+ audio recordings across 10 African languages.

Ax Zhiyuan Peng, Xuyang Wu, Huaixiao Tou, Yi Fang, Yi Gong 4/1/2026

MemRerank: Preference Memory for Personalized Product Reranking

MemRerank framework distilling user purchase history into preference signals for personalized LLM-based shopping agent product reranking.

Ax Osasumwen Cedric Ogiesoba-Eguakun, Kaveh Ashenayi, Suman Rath 4/1/2026

Real-Time Surrogate Modeling for Fast Transient Prediction in Inverter-Based Microgrids Using CNN and LightGBM

CNN and LightGBM surrogate models for real-time electromagnetic transient prediction in inverter-based microgrids.

Ax Kavindu Herath, Joshua Zhao, Saurabh Bagchi 4/1/2026

Beyond Corner Patches: Semantics-Aware Backdoor Attack in Federated Learning

SABLE framework for semantically-aware backdoor attacks in federated learning using realistic, in-distribution triggers.

Ax Yacine Izza, Alexey Ignatiev, Xuanxiang Huang, Peter J. Stuckey, Joao Marques-Silva 4/1/2026

Rigorous Explanations for Tree Ensembles

Method for generating rigorous, human-interpretable explanations for tree ensemble model predictions.

Ax Enlai Li, Zhe Lin, Sharad Sinha, Wei Zhang 4/1/2026

AP-DRL: A Synergistic Algorithm-Hardware Framework for Automatic Task Partitioning of Deep Reinforcement Learning on Versal ACAP

Hardware-software framework for automatic task partitioning of deep reinforcement learning on Xilinx Versal ACAP.

Ax Kok Ping Lim, Dongyang Jia, Iftekhar Salam 4/1/2026

Deep Learning-Assisted Improved Differential Fault Attacks on Lightweight Stream Ciphers

Deep learning-based cryptanalytic techniques for differential fault attacks on lightweight stream ciphers in IoT.

Ax Yubo Cui, Xianchao Guan, Zijun Xiong, Zheng Zhang 4/1/2026

AGFT: Alignment-Guided Fine-Tuning for Zero-Shot Adversarial Robustness of Vision-Language Models

Fine-tuning framework (AGFT) for improving zero-shot adversarial robustness of vision-language models while preserving alignment.

Ax Jiaao Ma, Chuan Lin, Guangjie Han, Shengchao Zhu, Zhenyu Wang, Chen An 4/1/2026

Multi-AUV Cooperative Target Tracking Based on Supervised Diffusion-Aided Multi-Agent Reinforcement Learning

Multi-agent RL approach for cooperative AUV target tracking using diffusion models to address non-stationarity and coordination challenges.

Ax Philipp Reis, Jacqueline Henle, Stefan Otten, Eric Sax 4/1/2026

From Big Data to Fast Data: Towards High-Quality Datasets for Machine Learning Applications from Closed-Loop Data Collection

Framework for high-quality dataset generation from closed-loop automotive data collection for ML model development.

Ax Dan Oprisa, Peter Toth 4/1/2026