Isolater - Feed

Ax Harry Proshian, Nikita Severin, Sergey Nikolenko, Kireev Ivan, Andrey Savchenko, Ivan Sergeev, Maria Postnova, Ilya Makarov 4/13/2026

Beyond Isolated Clients: Integrating Graph-Based Embeddings into Event Sequence Models

arXiv paper integrating graph-based embeddings into event sequence models for user-item interactions in fraud and recommendation systems.

Ax Jiabao Brad Wang, Xiang Shi, Yiliang Yuan, Mustafa Misir 4/13/2026

GeoPAS: Geometric Probing for Algorithm Selection in Continuous Black-Box Optimisation

arXiv paper on GeoPAS geometric probing approach for automated algorithm selection in continuous black-box optimization.

Ax Yi-Lun Liao, Alexander J. Hoffman, Sabrina C. Shen, Alexandre Duval, Sam Walton Norwood, Tess Smidt 4/13/2026

EquiformerV3: Scaling Efficient, Expressive, and General SE(3)-Equivariant Graph Attention Transformers

arXiv paper on EquiformerV3, advancing SE(3)-equivariant graph attention Transformers for efficiency, expressivity, and 3D atomistic modeling.

Ax Yushi Feng, Junye Du, Qifan Wang, Zizhan Ma, Qian Niu, Yutaka Matsuo, Long Feng, Lequan Yu 4/13/2026

CORA: Conformal Risk-Controlled Agents for Safeguarded Mobile GUI Automation

arXiv paper on CORA, conformal risk-controlled GUI agents using vision language models with formal safety guarantees for mobile automation.

Ax Xubin Zhou, Yipeng Yang, Zhan Li 4/13/2026

Truncated Rectified Flow Policy for Reinforcement Learning with One-Step Sampling

arXiv paper proposing truncated rectified flow policy for maximum entropy RL enabling one-step multimodal action distribution sampling.

Ax Jennifer Werner, Justus Arweiler, Indra Jungjohann, Jochen Schmid, Fabian Jirasek, Hans Hasse, Michael Bortz 4/13/2026

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection

arXiv paper augmenting distillation process dataset with simulations for deep learning-based anomaly detection in chemical batch processes.

Ax Mansour Zoubeirou a Mayaki 4/13/2026

Generalization and Scaling Laws for Mixture-of-Experts Transformers

arXiv paper developing generalization and scaling theory for Mixture-of-Experts Transformers with covering-number bounds and routing overhead analysis.

Ax Anas Hattay, Fred Ngole Mboula, Eric Gascard, Zakaria Yahoun 4/13/2026

On the Role of DAG topology in Energy-Aware Cloud Scheduling : A GNN-Based Deep Reinforcement Learning Approach

arXiv paper on GNN-based deep reinforcement learning scheduler for cloud workflow DAGs optimizing completion time and energy consumption.

Ax Zedong Peng, Zeju Li, Qiang Xu, Jieru Zhao 4/13/2026

DiffHLS: Differential Learning for High-Level Synthesis QoR Prediction with GNNs and LLM Code Embeddings

arXiv paper proposing DiffHLS framework using GNNs and LLM code embeddings for high-level synthesis quality prediction via differential learning.

Ax Huanran Chen, Huaqing Zhang, Xiao Li, Yinpeng Dong, Ke Shen, Jun Zhu 4/13/2026

Nexus: Same Pretraining Loss, Better Downstream Generalization via Common Minima

arXiv paper investigating LLM pretraining geometry and common minima to improve downstream generalization without changing loss function.

Ax Sifan Yang, Dan-Yue Li, Lijun Zhang 4/13/2026

Distributed Online Convex Optimization with Compressed Communication: Optimal Regret and Applications

arXiv paper on distributed online convex optimization with compressed communication, establishing optimal regret bounds for large-scale applications.

Ax Carl R. Richardson, Jichen Zhang, Ethan King, J\'an Drgo\v{n}a 4/13/2026

Stability Enhanced Gaussian Process Variational Autoencoders

Novel stability-enhanced Gaussian process VAE for training low-dimensional LTI systems from high-dimensional video data using probabilistic and physical models.

Ax G\"otz-Henrik Wiegand, Lorena Raichle, Rico St\"adeli, Tomas Hrycej, Bernhard Bermeitinger, Siegfried Handschuh 4/13/2026

Is More Data Worth the Cost? Dataset Scaling Laws in a Tiny Attention-Only Decoder

Controlled study of dataset scaling laws in attention-only decoder architecture across power-of-two subset sizes.

Ax Khoa Tran, Simon S. Woo 4/13/2026

Efficient Unlearning through Maximizing Relearning Convergence Delay

Machine unlearning approach using relearning convergence delay metric to remove contaminated data from pretrained models.

Ax Sakshi Choudhary, Utkarsh Saxena, Kaushik Roy 4/13/2026

OASIS: Online Activation Subspace Learning for Memory-Efficient Training

Online activation subspace learning (OASIS) to reduce memory requirements during LLM training through low-rank projections.

Ax Aishwarya Sarkar, Sayan Ghosh, Nathan R. Tallent, Ali Jannesari 4/13/2026

NOMAD: Generating Embeddings for Massive Distributed Graphs

Scalable method for generating node embeddings on massive distributed graphs with millions to billions of nodes.

Ax Ioannis Tsingalis, Constantine Kotropoulos, Corentin Briat 4/13/2026

AdaCubic: An Adaptive Cubic Regularization Optimizer for Deep Learning

AdaCubic optimizer using adaptive cubic regularization with Hutchinson's method for approximating Hessian in deep learning.

Ax Lifeng Chen, Tianqi You, Hao Liu, Zhimin Bao, Jile Jiao, Xiao Han, Zhicai Ou, Tao Sun, Xiaofeng Mou, Xiaojie Jin, Yi Xu 4/13/2026

ECHO: Efficient Chest X-ray Report Generation with One-step Block Diffusion

One-step diffusion model for efficient chest X-ray report generation reducing inference latency compared to autoregressive models.

Ax Maksim Anisimov (Imperial College London), Francesco Belardinelli (Imperial College London), Matthew Wicker (Imperial College London) 4/13/2026

SafeAdapt: Provably Safe Policy Updates in Deep Reinforcement Learning

Method for safely updating deep reinforcement learning policies while preserving safety guarantees on previously encountered tasks.

Ax Luis Mickeler, Kai Lion, Alfonso Nardi, Jost Kellner, Pierre Didier, Bhavin J. Shastri, Niao He, Rachel Grange 4/13/2026

Integrated electro-optic attention nonlinearities for transformers

Hardware optimization using electro-optic nonlinearities to replace softmax bottleneck in transformer attention mechanisms.

Ax Igor Jankowski 4/13/2026

Event-Driven Temporal Graph Networks for Asynchronous Multi-Agent Cyber Defense in NetForge_RL

High-fidelity cyber operations simulator (NetForge_RL) using temporal graph networks for multi-agent reinforcement learning in cybersecurity.

Ax Jiawei Chen, Ruoxi Xu, Boxi Cao, Ruotong Pan, Yunfei Zhang, Yifei Hu, Yong Du, Tingting Gao, Yaojie Lu, Yingfei Sun, Xianpei Han, Le Sun, Xiangyu Wu, Hongyu Lin 4/13/2026

Towards Real-world Human Behavior Simulation: Benchmarking Large Language Models on Long-horizon, Cross-scenario, Heterogeneous Behavior Traces

OmniBehavior benchmark for evaluating LLMs as user simulators on long-horizon, cross-scenario behavior traces from real-world data.

Ax Wenjie Qu, Xuandong Zhao, Jiaheng Zhang, Dawn Song 4/13/2026

Self-Sovereign Agent

Investigation of self-sovereign AI agents that can economically sustain themselves without human involvement using LLMs and agent frameworks.

Ax Svetoslav Nizhnichenkov, Rahul Nair, Elizabeth Daly, Brian Mac Namee 4/13/2026

A Representation-Level Assessment of Bias Mitigation in Foundation Models

Analysis of how bias mitigation reshapes embedding spaces in BERT and Llama2 through representational analysis of gender-occupation associations.

Ax Mousa Salah, Amgad Muneer 4/13/2026

Temperature-Dependent Performance of Prompting Strategies in Extended Reasoning Large Language Models

Systematic evaluation of chain-of-thought vs zero-shot prompting across temperature settings using Grok-4.1 for extended reasoning LLMs.

Ax Yuyan Zhou, Kai Syun Hou, Weiyu Chen, James Kwok 4/13/2026

Attention-Based Sampler for Diffusion Language Models

Research on attention-based sampling for diffusion language models enabling parallel decoding instead of sequential auto-regressive approach.

Ax Reza Sedghi, Robin Schiewer, Anand Subramoney, David Kappel 4/13/2026

Dynamic sparsity in tree-structured feed-forward layers at scale

Tree-structured sparse feed-forward layers as drop-in MLP replacements in transformers enabling conditional computation via routing.

Ax Carles Domingo-Enrich, Jiequn Han 4/13/2026

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 4/13/2026

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 4/13/2026

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 4/13/2026

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 Olivier Jeunen, Eleanor Hanna, Schaun Wheeler 4/13/2026

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 Makanjuola Ogunleye, Eman Abdelrahman, Ismini Lourentzou 4/13/2026

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 Dengjia Zhang, Alexander Martin, William Jurayj, Kenton Murray, Benjamin Van Durme, Reno Kriz 4/13/2026

Unified Multimodal Uncertain Inference

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

Ax Mohamad H. Danesh, Chenhao Li, Amin Abyaneh, Anas Houssaini, Kirsty Ellis, Glen Berseth, Marco Hutter, Hsiu-Chin Lin 4/13/2026

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 Jinghan Zhang, Fengran Mo, Tharindu Cyril Weerasooriya, Ruimin Dai, Xiaoyan Han, Yanjie Fu, Dakuo Wang, Kunpeng Liu 4/13/2026

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 4/13/2026

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 Harshith Kethavath, Weiming Hu 4/13/2026

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 Xiaoke Guo, Songze Li, Zhiqiang Liu, Zhaoyan Gong, Yuanxiang Liu, Huajun Chen, Wen Zhang 4/13/2026

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 Andre Bacellar 4/13/2026

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 4/13/2026

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 4/13/2026

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 Xingyu Shao, Zhiqiang Yan, Liangzheng Sun, Mengfan He, Chao Chen, Jinhui Zhang, Chunyu Li, Ziyang Meng 4/13/2026

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 4/13/2026

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 4/13/2026

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 4/13/2026

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 4/13/2026