Isolater - Feed

Ax Xavier Mart\'inez-Lua\~na, Alba Gude-Santos, Manuel Fern\'andez-Veiga, Rebeca P. D\'iaz-Redondo 9d ago

Privacy-Preserving and Verifiable Approximate Distributed Coded Computing

Privacy-preserving distributed coded computing framework addressing privacy leakage and malicious manipulation in federated and decentralized learning.

Ax Joseph Webb, Sadok Jerad, Coralia Cartis 9d ago

An Optimisation Framework for the Well-Conditioned Training of Physics-Informed Neural Networks

Optimization framework (DSGNAR) using second-order methods to improve ill-conditioned training of physics-informed neural networks.

Ax Jiawei Zhang 9d ago

Online Resource Allocation with Continuous Random Consumption: Regret under Degeneracy

Online resource allocation algorithm with continuous random consumption and degeneracy analysis for sequential request acceptance problems.

Ax Mojgan Alishiri, Amirhossein Arzani 9d ago

Self-explainable Operator Learning for Discovering Spatial Patterns in Functional Data

Self-explainable operator learning framework using functional linear models for interpretable modeling of complex physical systems.

Ax Ziyun Qiao, Yue Min, Ruining Chen, Yujun Li 9d ago

HERMES: A Multi-Granularity Labeling Substrate for Pre-training Data Mixtures

HERMES provides hierarchical multi-granularity labeling system for organizing pre-training data mixtures across different semantic axes.

Ax Max Weltevrede, Matthijs T. J. Spaan, Wendelin B\"ohmer 9d ago

Generalization in offline RL: The structure is more important than the amount of pessimism

Study of generalization in offline reinforcement learning showing structure of pessimism matters more than degree for contextual MDPs.

Ax Ruihang Li, Mengde Xu, Shuyang Gu, Leigang Qu, Fuli Feng, Han Hu, Wenjie Wang 9d ago

Optimizing Visual Generative Models via Distribution-wise Rewards

Framework for training visual generative models using distribution-wise rewards to prevent reward hacking and improve image diversity.

Ax Juan Agust\'in Duque, Sergio Garc\'ia Heredia, Vinicius Hernandes, Eli\v{s}ka Greplov\'a, Thomas Spriggs, Aaron Courville, Anna Dawid 9d ago

One More Time: Revisiting Neural Quantum States from a Reinforcement Learning Perspective

Neural quantum states optimization using reinforcement learning perspective for approximating quantum many-body wavefunctions.

Ax Dezheng Wang, Tong Chen, Wei Yuan, Congyan Chen, Shihua Li, Hongzhi Yin 9d ago

Self-Gating Attention for Efficient Time Series Forecasting

Efficient transformer architecture with self-gating attention reducing computational complexity for time series forecasting applications.

Ax Juliette Decugis, Fabian Gloeckle, Francis Bach, Taco Cohen, Gabriel Synnaeve 9d ago

DecompRL: Solving Harder Problems by Learning Modular Code Generation

DecompRL uses reinforcement learning to teach LLMs modular code generation for solving hard problems by decomposing into solvable subcomponents.

Ax Zhuowei Chen, Liwei Chen, Christian Schunn, Raquel Coelho, Xiang Lorraine Li 9d ago

Neuron-Aware Active Few-Shot Learning for LLMs

Active few-shot learning method for LLMs that identifies valuable unlabeled samples for annotation to reduce human labeling costs and improve domain-specific adaptation.

Ax Quoc Bao Phan, Tuy Tan Nguyen 9d ago

QFedAgent: Quantum-Enhanced Personalized Federated Learning for Multi-Agent Activity Recognition

Federated learning with quantum enhancement for multi-agent activity recognition in distributed robotic systems addressing non-IID heterogeneous sensor data.

Ax Sanjeev Shrestha, Hui Liu, Yifan Zhang 9d ago

Extreme Adaptive Transformer for Time Series Forecasting

Transformer-based time series forecasting model designed to handle rare extreme events in hydrologic data.

Ax Xuanyu Chen, Nan Yang, Shuai Wang, Dong Yuan 9d ago

Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data

Theoretical analysis of distributed self-supervised learning robustness under non-IID data heterogeneity in decentralized settings.

Ax Zhuowei Chen, Xiang Lorraine Li 9d ago

Neuron-Aware Data Selection for Annotation-Free LLM Self-Distillation

Neuron-aware data selection method for annotation-free LLM self-distillation in specialized domains without human-labeled supervision.

Ax Gil Harari, Yoel Zimmermann, Ola Tangen Kulseng, Laura Zichi, Chuin Wei Tan, Marc L. Descoteaux, Boris Kozinsky 9d ago

Beyond Adam: SOAP and Muon for Faster, Label-Efficient Training of Machine Learning Interatomic Potentials

Compares alternative optimizers (SOAP, Muon) to Adam for training machine learning interatomic potentials for scientific simulation.

Ax Yunhe Li, Hao Shi, Wenhao Liu, Mengzhe Ruan, Hanxu Hou, Zhongxiang Dai, Shuang Qiu, Linqi Song 9d ago

DemoPSD: Disagreement-Modulated Policy Self-Distillation

On-policy self-distillation for LLMs using disagreement-modulated approach to improve reasoning while reducing overfitting and improving cross-domain generalization.

Ax Wentao Zhang, Liliana Hotsko, Woojeong Kim, Pengyu Nie, Stuart Shieber, Yuntian Deng 9d ago

Program-as-Weights: A Programming Paradigm for Fuzzy Functions

Fuzzy-function programming paradigm compiling natural language specifications into locally-executable neural artifacts as alternative to LLM APIs.

Ax Firoz Shaik, Mateus Pican\c{c}o Lima Gomes, Tanvir Aumi, Jingci Wang, Milos Milunovic, Filip Basara, Ivana Jovanovic, Vishwas Suryanarayanan, Neha Nandan Kenkare, Weiyao Xie, Zhipeng Han, Zheng Zhang, Waleed Shahid, Jay Rathi, Russell Scherer, Thong Q. Nguyen, Michael Bentley, Tamara Stankovic, Rasika Chakravarthy, Vishal Chowdhary 9d ago

Office Comprehension Benchmark

Office Comprehension Bench: first benchmark for evaluating LLM systems on Word, Excel, and PowerPoint document understanding.

Ax Clemens Kinn, Philipp Petersen 9d ago

Fast approximation and learning of binary classification tasks in o-minimal structures using ReLU neural networks

Theoretical analysis of ReLU neural network approximation for binary classification over o-minimal definable sets.

Ax Aizierjiang Aiersilan 9d ago

Benchmarking Federated Learning and Knowledge Distillation for Point Cloud Classification

Benchmark comparing 13 federated learning and 10 knowledge distillation algorithms for 3D point cloud classification on edge devices.

Ax Qijun Chen, Shaofan Li 9d ago

eXact-Prior Variational Autoencoder (X-VAE): Learning Data-Adaptive Gaussian Mixture Priors for Latent Distributions

X-VAE: variational autoencoder framework learning data-adaptive Gaussian mixture priors instead of standard isotropic priors.

Ax Cedric Fitiavana Raelijohn, S\'ebastien Gambs, Jean-Francois Rajotte 9d ago

Embedding Inference Attack

Research on black-box embedding inference attacks against dense IR systems without knowledge of target embedding models.

Ax Marianthi Adamopoulou, Parthasaarathy Sudarsanam, David Diaz-Guerra, Meng Jiang, Archontis Politis, Seyed Jalaleddin Mousavirad, Tuomas Virtanen, Jan Lundgren 9d ago

CNN Models for Microphone Array Covariance Matrix Upsampling and Acoustic Imaging

CNN-based method for upsampling microphone array covariance matrices to enhance acoustic imaging spatial resolution.

Ax Yanxiong Li, Jiaxin Tan, Qianqian Li, Guoqing Chen, Sen Huang, Tuomas Virtanen 9d ago

Few-Shot Open-Set Audio Classification Using Attention Information-Fused Prototypes

Research on few-shot audio classification handling unseen classes with attention-based prototype methods.

Ax Jiefei Liu, Abu Saleh Md Tayeen, Pratyay Kumar, Qixu Gong, Wenbin Jiang, Huiping Cao, Satyajayant Misra, Jayashree Harikumar 9d ago

Generative AI and Federated Learning for Intrusion Detection Systems: A Survey

Survey of generative AI and federated learning approaches for intrusion detection systems in IoT and distributed networks.

Ax Felix J. Beckmann, Jo\~ao F. Bravo 9d ago

Ravines in quantum cost landscapes: opportunities for improved VQA predictions

Research paper on quantum cost landscape geometry and optimization paths in variational quantum algorithms using nudged elastic band methods.

Ax Zihao Qi, Christopher Earls 9d ago

Mechanistic Interpretability and Causal Feature Steering of Neural Quantum States via Sparse Autoencoders

Research paper analyzing neural quantum states using sparse autoencoders for mechanistic interpretability and causal feature steering.

Ax Weiliang Luo, Heather J. Kulik 9d ago

Enerzyme: A Framework for Efficient Training of Reactive Neural Network Potentials for Enzyme Catalysis with Application to Methyltransferases

Enerzyme: software framework for training neural network potentials for enzyme catalysis with application to methyltransferases reducing computational cost.

Ax Longfeng Wu, Yao Zhou, Tong Zeng, Zhimin Peng, Bhanu Pratap Singh Rawat, Lecheng Zheng, Giovanni Seni, Dawei Zhou 9d ago

Bi-NAS: Towards Effective and Personalized Explanation for Recommender Systems via Bi-Level Neural Architecture Search

Bi-NAS: bi-level neural architecture search for generating personalized and effective explanations in recommender systems.

Ax Barada Sahu, Shivesh Pandey 9d ago

A global predicted-fMRI drive signal from TRIBE does not predict YouTube replay heatmaps

Evaluates whether predicted fMRI signals from TRIBE multimodal brain-encoding model correlate with YouTube video engagement behavioral heatmaps.

Ax Parv Agarwal, Asif Ekbal 9d ago

GPUAlert: A Zero-Instrumentation Process-Boundary Monitor for Diagnosing GPU Training-Job Failures

GPUAlert: zero-instrumentation process-boundary monitor for diagnosing GPU training job failures without modifying training scripts.

Ax Yunfu Deng, Josiah P. Hanna 9d ago

BIFROST: Bridging Invariant Feature Representation for Observation-space Sim2Real Transfer

BIFROST: sim-to-real transfer method for robot policy learning that learns invariant feature representations addressing both visual and kinematic domain gaps.

Ax Samuel Schapiro, Core Francisco Park, Felix Sosa, Lav R. Varshney 9d ago

CreativityNeuro: Steering Language Model Weights to Improve Divergent Thinking and Reduce Mode Collapse

CreativityNeuro: data-free method using contrastive weight steering to enhance divergent thinking in LLMs and reduce mode collapse on open-ended generation.

Ax Neda Abdolrahimi, Thiru Siddharth, Frank Sicongchen, Vir V Phoha 9d ago

Sign in the Air to Unlock: An Interface for authentication in Virtual and Augmented Reality Powered by Point-Voxel Cross-Attention Network

Point-Voxel Cross-Attention Network for hand gesture-based authentication in VR/AR systems providing secure immersive interaction.

Ax Max Van Puyvelde, Halil Ibrahim Gulluk, Wim Van Criekinge, Olivier Gevaert 9d ago