Isolater - Feed

Ax Wei Zhuo, Siqiang Luo 3/17/2026

Modality-free Graph In-context Alignment

Framework for in-context learning on graphs without modality-specific encoders, enabling cross-domain adaptation for graph foundation models.

Ax Xiaotian Fan, Xingyu Zhou, Le Liang, Xiao Li, Shi Jin 3/17/2026

Improving Channel Estimation via Multimodal Diffusion Models with Flow Matching

Multimodal diffusion model using flow matching for channel estimation, fusing LiDAR, camera, and location data.

Ax Ahsan Adeel, M. Bilal 3/17/2026

Scalable Machines with Intrinsic Higher Mental-State Dynamics

Theoretical work on implementing higher-order mental-state dynamics in Transformers via triadic modulation for information pre-selection.

Ax Guanyu Chen, Ruichen Wang, Tianren Zhang, Feng Chen 3/17/2026

Reconciling In-Context and In-Weight Learning via Dual Representation Space Encoding

Framework reconciling in-context and in-weight learning in Transformers through dual representation space encoding to reduce conflict.

Ax Eshed Gal, Samy Wu Fung, Eldad Haber 3/17/2026

Probabilistic Gaussian Homotopy: A Probability-Space Continuation Framework for Nonconvex Optimization

Probabilistic Gaussian Homotopy framework for nonconvex optimization using Boltzmann-weighted gradient aggregation.

Ax Piyush Sao 3/17/2026

Ghosts of Softmax: Complex Singularities That Limit Safe Step Sizes in Cross-Entropy

Analysis of complex singularities in softmax cross-entropy loss that limit safe step sizes during optimization training.

Ax Brecht Verbeken, Joke Van den Broeck, Inge De Cleyn, Steven Van Luchene, Nadine Engels, Andres Algaba, Vincent Ginis 3/17/2026

Scalable Classification of Course Information Sheets Using Large Language Models: A Reusable Institutional Method for Academic Quality Assurance

End-to-end LLM method for auditing course information sheets at scale to identify GenAI vulnerabilities in academic assessments.

Ax Zakia Zaman, Praveen Gauravaram, Mahbub Hassan, Sanjay Jha, Wen Hu 3/17/2026

Privacy-Preserving Machine Learning for IoT: A Cross-Paradigm Survey and Future Roadmap

Survey of privacy-preserving machine learning for IoT devices, covering federated learning, differential privacy, and resource constraints.

Ax Peter Pavl\'ik, Anna Bou Ezzeddine, Viera Rozinajov\'a 3/17/2026

Volumetric Radar Echo Motion Estimation Using Physics-Informed Deep Learning: A Case Study Over Slovakia

Physics-informed CNN for precipitation nowcasting using volumetric radar data to estimate multi-altitude motion fields.

Ax Holger R. Roth, Sarthak Tickoo, Mayank Kumar, Isaac Yang, Andrew Liu, Amit Varshney, Sayani Kundu, Iustina Vintila, Peter Madsgaard, Juraj Milcak, Chester Chen, Yan Cheng, Andrew Feng, Jeff Savio, Vikram Singh, Craig Stancill, Gloria Wan, Evan Powell, Anwar Ul Haq, Sudhir Upadhyay, Jisoo Lee 3/17/2026

Privacy-Preserving Federated Fraud Detection in Payment Transactions with NVIDIA FLARE

Federated learning approach for fraud detection in payment systems using NVIDIA FLARE, preserving privacy across institutions with non-IID data.

Ax Mohammad Mostafanejad, Paul Saxe, T. Daniel Crawford 3/17/2026

BERTology of Molecular Property Prediction

Systematic study of chemical language models for molecular property prediction, analyzing performance inconsistencies across benchmarks through controlled experiments.

Ax Weichen Li, Jiamin Song, Bogdan Alexandru Stoica, Arav Dhoot, Gabriel Ryan, Shengyu Fu, Kexin Pei 3/17/2026

SemRep: Generative Code Representation Learning with Code Transformations

SemRep: generative code representation learning using code transformations for semantic reasoning in software development.

Ax Swadhin Pradhan, Shazal Irshad, Jerome Henry 3/17/2026

PLUME: Building a Network-Native Foundation Model for Wireless Traces via Protocol-Aware Tokenization

PLUME: 140M-parameter foundation model for wireless packet traces using protocol-aware tokenization.

Ax Eshed Gal, Moshe Eliasof, Siddharth Rout, Eldad Haber 3/17/2026

PDE-SSM: A Spectral State Space Approach to Spatial Mixing in Diffusion Transformers

PDE-SSM: state-space block replacing attention in diffusion transformers using learnable convection-diffusion-reaction equations.

Ax Zhenwei Tang, Amogh Inamdar, Ashton Anderson, Richard Zemel 3/17/2026

Level Up: Defining and Exploiting Transitional Problems for Curriculum Learning

Dynamic curriculum learning approach using gradient-based difficulty estimation for adaptive example ordering.

Ax Victor Ye Dong, Kuan-Yun Lee, Jiamei Shuai, Shengfei Liu, Yi Liu, Jian Jiao 3/17/2026

Greedy Information Projection for LLM Data Selection

GIP framework for selecting training examples for LLM fine-tuning by maximizing mutual information with task-specific signals.

Ax Xuan Cui, Huiyue Li, Run Zeng, Yunfei Zhao, Jinrui Qian, Wei Duan, Bo Liu, Zhanpeng Zhou 3/17/2026

IGU-LoRA: Adaptive Rank Allocation via Integrated Gradients and Uncertainty-Aware Scoring

IGU-LoRA: adaptive rank allocation for parameter-efficient fine-tuning of LLMs using integrated gradients and uncertainty scoring.

Ax Dongyuan Li, Ying Zhang, Yaozu Wu, Renhe Jiang 3/17/2026

Node Role-Guided LLMs for Dynamic Graph Clustering

LLM-guided approach for interpretable dynamic graph clustering with semantic explanations of cluster formation and evolution.

Ax Jin Guo, Roy Y. He, Jean-Michel Morel 3/17/2026

On Interpolation Formulas Describing Neural Network Generalization

Theoretical analysis extending Domingos interpolation formula to stochastic gradient descent, characterizing neural network generalization as kernel machines.

Ax Dimitrios-Chrysovalantis Liakopoulos, Yanbo Zhang, Chongsheng Zhang, Constantine Kotropoulos 3/17/2026

Scribe Verification in Chinese manuscripts using Siamese, Triplet, and Vision Transformer Neural Networks

Deep metric learning approach (Siamese, Triplet, Vision Transformer) for identifying scribes in Chinese manuscript calligraphy datasets.

Ax Joan Perez, Giovanni Fusco 3/17/2026

UVLM: A Universal Vision-Language Model Loader for Reproducible Multimodal Benchmarking

UVLM: unified framework for loading and benchmarking multiple vision-language models with standardized interface in Colab environment.

Ax Zhanhui Lin, Yanlin Liu, Sanping Zhou 3/17/2026

Robust Self-Training with Closed-loop Label Correction for Learning from Noisy Labels

Self-training framework with label correction for handling noisy data in neural network training using bilevel optimization techniques.

Ax Eman M. AbouNassara, Amr Elshalla, Sameh Abdulah 3/17/2026

FedPBS: Proximal-Balanced Scaling Federated Learning Model for Robust Personalized Training for Non-IID Data

FedPBS: federated learning algorithm addressing statistical heterogeneity and non-IID data for distributed ML training with privacy preservation.

Ax Matheus Camilo da Silva, Gabriel Gustavo Costanzo, Andrea de Lorenzo, Sylvio Barbon Junior 3/17/2026

Close to Reality: Interpretable and Feasible Data Augmentation for Imbalanced Learning

Interpretable data augmentation for imbalanced learning that generates realistic, feasible samples with transparent procedures and adjustability.

Ax Shivnath Tathe 3/17/2026

True 4-Bit Quantized Convolutional Neural Network Training on CPU: Achieving Full-Precision Parity

Method for training 4-bit quantized CNNs on standard CPUs with PyTorch achieving full-precision accuracy parity for cost-effective deep learning.

Ax Philip Bechtle, Lucie Flek, Philipp Alexander Jung, Akbar Karimi, Timo Saala, Alexander Schmidt, Matthias Schott, Philipp Soldin, Christopher Wiebusch, Ulrich Willemsen 3/17/2026

Shapes are not enough: CONSERVAttack and its use for finding vulnerabilities and uncertainties in machine learning applications

CONSERVAttack method for testing high energy physics ML applications against physically motivated systematic uncertainties and adversarial robustness.

Ax Gwanwoo Song, Kwanyoung Park, Youngwoon Lee 3/17/2026

Chunk-Guided Q-Learning

Chunk-Guided Q-Learning algorithm for offline reinforcement learning balancing bootstrapping error and policy flexibility over long horizons.

Ax Adam Belahcen, St\'ephane Mussard 3/17/2026

Aumann-SHAP: The Geometry of Counterfactual Interaction Explanations in Machine Learning

Aumann-SHAP framework for interaction-aware counterfactual explanations decomposing model transitions using cooperative game theory.

Ax N. Brag 3/17/2026

Benchmarking Open-Source PPG Foundation Models for Biological Age Prediction

Benchmarking open-source PPG foundation models for biological age prediction, comparing task-specific vs general-purpose models across populations.

Ax Chenghao Duan, Chuanyi Ji, Anwar Walid, Scott Ganz 3/17/2026

Gated Graph Attention Networks for Predicting Duration of Large Scale Power Outages Induced by Natural Disasters

Gated graph attention networks for predicting duration of large-scale power outages induced by natural disasters.

Ax Mark Rofin, Jalal Naghiyev, Michael Hahn 3/17/2026

Understanding the Emergence of Seemingly Useless Features in Next-Token Predictors

Analysis of redundant features emerging in Transformer next-token predictors, identifying gradient components responsible for seemingly useless feature computation.

Ax Maria Rosaria Briglia, Simone Facchiano, Paolo Cursi, Alessio Sampieri, Emanuele Rodol\`a, Guido Maria D'Amely di Melendugno, Luca Franco, Fabio Galasso, Iacopo Masi 3/17/2026

Not All Latent Spaces Are Flat: Hyperbolic Concept Control

Hyperbolic control mechanism using parallel transport to steer text-to-image models away from unsafe content generation.

Ax Georgii Serbin, Kirill Koshkin, Zhongao Sun, Anastasiya Bistrigova, C. C. Korikov 3/17/2026

SVD Contextual Sparsity Predictors for Fast LLM Inference

Framework for accelerating LLM inference using contextual sparsity predictors for ReGLU-based feed-forward networks with minimal accuracy loss.

Ax Youngsung Kim 3/17/2026

Align Forward, Adapt Backward: Closing the Discretization Gap in Logic Gate Networks

Analysis of training-inference mismatch in neural networks with soft vs hard selection, using logic gate networks as test case.

Ax Patryk Marsza{\l}ek, Tomasz Ku\'smierczyk, Marek \'Smieja 3/17/2026

TACTIC for Navigating the Unknown: Tabular Anomaly deteCTion via In-Context inference

TACTIC method for tabular anomaly detection using in-context learning with foundation models, advancing unsupervised learning for anomaly detection tasks.

Ax Akhil Chandra Shanivendra 3/17/2026

Hybrid Intent-Aware Personalization with Machine Learning and RAG-Enabled Large Language Models for Financial Services Marketing

Hybrid architecture combining classical ML for customer segmentation with RAG-enabled LLMs for personalized financial services marketing content generation.

Ax Hongzhao Li, Guohao Shen, Shupan Li, Mingliang Xu, Muhammad Haris Khan 3/17/2026

Balancing Multimodal Domain Generalization via Gradient Modulation and Projection

Gradient modulation and projection techniques balance optimization across modalities in multimodal domain generalization tasks.

Ax Gongzheng Tang, Qinghao Zhao, Guangkun Nie, Yujie Xiao, Shijia Geng, Donglin Xie, Shun Huang, Deyun Zhang, Xingchen Yao, Jinwei Wang, Kangyin Chen, Luxia Zhang, Shenda Hong 3/17/2026

Artificial intelligence-enabled single-lead ECG for non-invasive hyperkalemia detection: development, multicenter validation, and proof-of-concept deployment

Pocket-K AI-ECG system using ECGFounder foundation model for non-invasive hyperkalemia detection with handheld deployment.

Ax Haichen Hu, David Simchi-Levi 3/17/2026