Ax Ali Saheb Pasand, Johan Obando-Ceron, Aaron Courville, Pouya Bashivan, Pablo Samuel Castro 3/20/2026

Stable Deep Reinforcement Learning via Isotropic Gaussian Representations

Deep reinforcement learning stability improvement through isotropic Gaussian embeddings under non-stationary training dynamics.

Ax Hung-Hsuan Chen 3/20/2026

CeRA: Breaking the Linear Ceiling of Low-Rank Adaptation via Manifold Expansion

CeRA: improved parameter-efficient fine-tuning method that surpasses LoRA's linear constraints via manifold expansion with gating and dropout.

Ax Yongzhong Xu 3/20/2026

Optimizer-Induced Low-Dimensional Drift and Transverse Dynamics in Transformer Training

Analysis of transformer training trajectories under AdamW showing low-dimensional drift directions and batch-gradient alignment patterns.

Ax Daniel S. Berman, Brian Merritt, Stanley Ta, Dana Udwin, Amanda Ernlund, Jeremy Ratcliff, Vijay Narayan 3/20/2026

What You Read is What You Classify: Highlighting Attributions to Text and Text-Like Inputs

Explainable AI method for highlighting token attributions in text classification using transformers.

Ax Nilesh Jain, Rohit Yadav, Sagar Kotian, Claude AI 3/20/2026

AutoResearch-RL: Perpetual Self-Evaluating Reinforcement Learning Agents for Autonomous Neural Architecture Discovery

Framework for autonomous neural architecture and hyperparameter search using self-evaluating RL agents without human supervision.

Ax Angad Singh Ahuja 3/20/2026

Adversarial Latent-State Training for Robust Policies in Partially Observable Domains

Research on robust policy training in partially observable reinforcement learning under adversarial latent state distribution shifts.

Ax Xiangwen Wang, Ananth Balashankar, Varun Chandrasekaran 3/20/2026

Systematic Scaling Analysis of Jailbreak Attacks in Large Language Models

Systematic study of jailbreak attack scaling laws across LLM methods and model families using compute-bounded optimization framework.

Ax Haihua Luo, Xuming Ran, Tommi K\"arkk\"ainen, Huiyan Xue, Zhonghua Chen, Qi Xu, Fengyu Cong 3/20/2026

Representation Finetuning for Continual Learning

Research on parameter-efficient fine-tuning for continual learning using representation-level optimization instead of weight-level black-box methods.

Ax Wanyin Wu, Kanxue Li, Baosheng Yu, Haoyun Zhao, Yibing Zhan, Dapeng Tao, Hua Jin 3/20/2026

PREBA: Surgical Duration Prediction via PCA-Weighted Retrieval-Augmented LLMs and Bayesian Averaging Aggregation

Zero-shot surgical duration prediction combining retrieval-augmented LLMs with Bayesian averaging for resource management.

Ax Zakia Zaman, Praveen Gauravaram, Mahbub Hassan, Sanjay Jha, Wen Hu 3/20/2026

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

Survey of privacy-preserving machine learning mechanisms for IoT devices covering federated learning and edge computing approaches.

Ax Yongzhong Xu 3/20/2026

Spectral Edge Dynamics of Training Trajectories: Signal--Noise Geometry Across Scales

Analysis of transformer training dynamics via Spectral Edge Dynamics, identifying coherent optimization directions vs stochastic noise.

Ax Ting Gao, Stavros Orfanoudakis, Nan Lin, Elvin Isufi, Winnie Daamen, Serge Hoogendoorn 3/20/2026

Flow Matching Policy with Entropy Regularization

Diffusion-based reinforcement learning policy using flow matching with direct entropy regularization and efficient gradient computation.

Ax Ji-Hun Oh, Kianoush Falahkheirkhah, John Cheville, Rohit Bhargava 3/20/2026

Hallucination Detection in Virtually-Stained Histology: A Latent Space Baseline

Detects hallucinations in virtually-stained histology using latent space analysis and neural precursor method.

Ax Edric Tam, Barbara E Engelhardt 3/20/2026

Assessing the Distributional Fidelity of Synthetic Chest X-rays using the Embedded Characteristic Score

Method for evaluating synthetic chest X-ray quality using embedded characteristic scores.

Ax Harrish Thasarathan, Julian Forsyth, Thomas Fel, Matthew Kowal, Konstantinos G. Derpanis 3/20/2026

Universal Sparse Autoencoders: Interpretable Cross-Model Concept Alignment

Universal sparse autoencoders for discovering and aligning interpretable concepts across multiple neural networks.

Ax Anastasia N. Krouglova, Hayden R. Johnson, Basile Confavreux, Michael Deistler, Pedro J. Gon\c{c}alves 3/20/2026

Multifidelity Simulation-based Inference for Computationally Expensive Simulators

Multifidelity simulation-based inference framework for parameter estimation with expensive simulators.

Ax Alexandru Apostu, Silviu Gheorghe, Andrei H\^iji, Nicolae Cleju, Andrei P\u{a}tra\c{s}cu, Cristian Rusu, Radu Ionescu, Paul Irofti 3/20/2026

Detecting and Mitigating DDoS Attacks with AI: A Survey

Survey of AI-based methods for detecting and mitigating distributed denial-of-service attacks.

Ax Lovedeep Gondara, Jonathan Simkin, Shebnum Devji, Gregory Arbour, Raymond Ng 3/20/2026

ELM: A Hybrid Ensemble of Language Models for Automated Tumor Group Classification in Population-Based Cancer Registries

Ensemble of language models for automated tumor classification in cancer registry pathology reports.

Ax Adel Chehade, Edoardo Ragusa, Paolo Gastaldo, Rodolfo Zunino 3/20/2026

Hardware-Aware Neural Architecture Search for Encrypted Traffic Classification on Resource-Constrained Devices

Hardware-aware neural architecture search for encrypted traffic classification on IoT edge devices.

Ax Jacqueline Maasch, John Kalantari, Kia Khezeli 3/20/2026

CausalARC: Abstract Reasoning with Causal World Models

Testbed for evaluating AI reasoning with causal world models in low-data and out-of-distribution settings.

Ax Nikita Kornilov, David Li, Tikhon Mavrin, Aleksei Leonov, Nikita Gushchin, Evgeny Burnaev, Iaroslav Koshelev, Alexander Korotin 3/20/2026

Universal Inverse Distillation for Matching Models with Real-Data Supervision (No GANs)

Universal distillation method for training efficient one-step generators from diffusion and flow models without GANs.

Ax Yuanzhi Zhu, Xi Wang, St\'ephane Lathuili\`ere, Vicky Kalogeiton 3/20/2026

Soft-Di[M]O: Improving One-Step Discrete Image Generation with Soft Embeddings

Improves one-step image generation from masked diffusion models using soft embeddings to enable gradient flow for fine-tuning.

Ax Seyma Yaman Kayadibi 3/20/2026

Redundancy-as-Masking: Formalizing the Artificial Age Score (AAS) to Model Memory Aging in Generative AI

Artificial Age Score framework modeling memory aging patterns in large language models across conversational contexts.

Ax Gaoxiang Huang, Songning Lai, Yutao Yue 3/20/2026

Towards more holistic interpretability: A lightweight disentangled Concept Bottleneck Model

Lightweight disentangled concept bottleneck model for improved interpretability in neural networks.

Ax Zijian Liu 3/20/2026

Clipped Gradient Methods for Nonsmooth Convex Optimization under Heavy-Tailed Noise: A Refined Analysis

Theoretical analysis of clipped gradient optimization under heavy-tailed noise with refined convergence bounds.

Ax Jos\'e Pulido, Francesc Wilhelmi, Sergio Fortes, Alfonso Fern\'andez-Dur\'an, Lorenzo Galati Giordano, Raquel Barco 3/20/2026

Studying the Role of Synthetic Data for Machine Learning-based Wireless Networks Traffic Forecasting

Novel synthetic data generation method for wireless network traffic forecasting to augment training datasets.

Ax Marc Salvad\'o-Benasco, Aymane Kssim, Alexander Heinlein, Rolf Krause, Serge Gratton, Alena Kopani\v{c}\'akov\'a 3/20/2026

Multi-Preconditioned LBFGS for Training Finite-Basis PINNs

Multi-preconditioned LBFGS algorithm for training physics-informed neural networks using domain decomposition.

Ax Zanlin Ni, Shenzhi Wang, Yang Yue, Tianyu Yu, Weilin Zhao, Yeguo Hua, Tianyi Chen, Jun Song, Cheng Yu, Bo Zheng, Gao Huang 3/20/2026

The Flexibility Trap: Why Arbitrary Order Limits Reasoning Potential in Diffusion Language Models

Study showing arbitrary token generation order in diffusion LLMs doesn't improve reasoning despite flexibility.

Ax Yunwei Bai, Ying Kiat Tan, Yao Shu, Tsuhan Chen 3/20/2026

1S-DAug: One-Shot Data Augmentation for Robust Few-Shot Generalization

One-shot data augmentation technique for few-shot learning combining geometric perturbations with noise injection.

Ax Ahmed M. Elshazly, Ahmed Arafa 3/20/2026

Age-Aware Edge-Blind Federated Learning via Over-the-Air Aggregation

Federated learning approach over wireless channels using over-the-air aggregation without channel state information.

Ax Markus Gross, Hans-Martin Rieser 3/20/2026

Theory and interpretability of Quantum Extreme Learning Machines: a Pauli-transfer matrix approach

Theoretical and interpretability analysis of quantum extreme learning machines using Pauli-transfer matrix approach.

Ax Yulin Li, Tengyao Tu, Li Ding, Junjie Wang, Huiling Zhen, Yixin Chen, Yong Li, Zhuotao Tian 3/20/2026

Efficient Reasoning with Balanced Thinking

Method for efficient LLM reasoning balancing overthinking and underthinking in resource-constrained settings.

Ax Yannis Montreuil, Le\"ina Montreuil, Axel Carlier, Lai Xing Ng, Wei Tsang Ooi 3/20/2026

Learning-to-Defer with Expert-Conditioned Advice

Learning-to-Defer framework extended to select experts and conditionally provide information like documents or tool outputs.

Ax Hugo Math 3/20/2026

Learning to Predict, Discover, and Reason in High-Dimensional Event Sequences

ML approach for predicting and discovering error patterns in vehicle diagnostic trouble codes using temporal sequence analysis.

Ax Valentin Lafargue, Ariel Guerra-Adames, Emmanuelle Claeys, Elouan Vuichard, Jean-Michel Loubes 3/20/2026

Probing Cultural Signals in Large Language Models through Author Profiling

Study of cultural biases in LLMs using author profiling from song lyrics in zero-shot settings across open-source models.

HN MikeLuLu 3/20/2026

OpenClaw: An Opinionated Resource List

Curated resource list for OpenClaw AI system covering skills, plugins, MCP, tools, deployments and alternatives with editorial context.

HN zhyder 3/20/2026

Google's AI Studio now integrates with Firebase for vibe coding production apps

Google AI Studio launches upgraded vibe coding with Firebase integration for building production apps via AI agents and prompts.

HN outside1234 3/20/2026

The Displacement of Cognitive Labor and What Comes Next

Opinion essay on AI exceeding human cognitive capabilities and societal implications; personal reflection without technical depth.

HN bdetunk 3/20/2026

I Built an E-Commerce Platform from My Off-Grid Homestead Using AI

Case study of building AI-powered e-commerce platform from off-grid homestead using AI agents for content and automation.

HN mberg 3/20/2026

Agent HTTP – Claude Code HTTP API Made Possible by Channels

HTTP API for Claude Code via MCP channels enabling programmatic agent control without terminal parsing; drop-in replacement for agentapi.

HN dmbuild 3/20/2026

I replaced a Scrum team with AI agents for 10 days

Anecdotal account of replacing Scrum team with AI agents for 10 days; content unclear due to mismatched description.

HN pierre 3/20/2026

LiteParse: Local document parsing for AI agents (Open source)

Open source local document parsing library designed for AI agents.

HN danvittegleo 3/20/2026

Show HN: I built a distributed file store on top of AWS CloudShell

Distributed file store built on AWS CloudShell using Reed-Solomon erasure coding, AES-256-GCM encryption, and regional sharding for resilient storage.

HN wkyleg 3/20/2026

Ask HN: Are we close to figuring out LLM/Agent Memory

Discussion of LLM/agent memory limitations and whether RAG/embeddings or local markdown files are more effective. Community exploration of context retention in agents.

HN brettwaterson 3/20/2026

GopherHole – A universal hub for AI agent-to-agent communication

GopherHole: open protocol for agent-to-agent communication across frameworks. Built-in memory, search, specialized agents. WebSocket-based, privacy-preserving.

HN transformer24 3/20/2026

FreeAgent – 60-tool local AI agent, no API keys, no cloud, no cost

FreeAgent: local-first AI agent with 60+ tools (image generation, OSINT, cybersecurity, automation). Runs entirely offline, no cloud dependency or subscriptions.

HN mattyg_aus 3/20/2026

I built agents to predict when splitting your AI prompts helps and when it hurts

Analysis of when splitting AI prompts into subagents helps vs hurts output quality. Cognitive science perspective on prompt engineering and agent decomposition.

HN vitaelabitur 3/20/2026

Benchmarking LLMs/VLMs on document parsing, extraction, VQA

Intelligent Document Processing Leaderboard benchmarks 16+ LLMs/VLMs on document parsing, table extraction, OCR, and visual QA using 9,000+ real documents.

HN djinn 3/20/2026

GlassWorm malware hits 400 code repos on GitHub, NPM, VSCode, OpenVSX

GlassWorm supply-chain malware campaign compromised 433 packages across GitHub, npm, and VSCode extensions; coordinated attack identified by security researchers.

HN toomuchtodo 3/20/2026

Signal's Creator [Moxie Marlinspike] Is Helping Encrypt Meta AI

Signal creator Moxie Marlinspike's Confer platform incorporating encryption into Meta AI systems. Privacy-focused AI infrastructure.