Ax Thomas Mortier, Alireza Javanmardi, Yusuf Sale, Eyke H\"ullermeier, Willem Waegeman 3d ago

Conformal Prediction in Hierarchical Classification with Constrained Representation Complexity

Extends conformal prediction framework to hierarchical classification with constrained representation complexity.

Ax Hao-Xiang Xu, Jun-Yu Ma, Zhen-Hua Ling, Ningyu Zhang, Jia-Chen Gu 3d ago

Constraining Sequential Model Editing with Editing Anchor Compression

Method for constraining sequential editing of LLMs to prevent knowledge degradation using editing anchor compression.

Ax Kyriakos Stylianopoulos, George C. Alexandropoulos 3d ago

Universal Approximation with XL MIMO Systems: OTA Classification via Trainable Analog Combining

Shows XL MIMO wireless systems exhibit universal approximation properties similar to neural networks for OTA classification.

Ax Yanhao Zhang, Zhihan Zhu, Yong Xia 3d ago

SPP-SBL: Space-Power Prior Sparse Bayesian Learning for Block Sparse Recovery

Sparse Bayesian learning method with space power prior for block sparse signal recovery with unknown patterns.

Ax Bryan Sangwoo Kim, Jeongsol Kim, Jong Chul Ye 3d ago

Chain-of-Zoom: Extreme Super-Resolution via Scale Autoregression and Preference Alignment

Framework for extreme super-resolution using autoregressive chain of scale states with preference alignment.

Ax Jing-En Huang, I-Sheng Fang, Tzuhsuan Huang, Yu-Lun Liu, Chih-Yu Wang, Jun-Cheng Chen 3d ago

Gen-n-Val: Agentic Image Data Generation and Validation

Agentic system for generating and validating synthetic image data to address data scarcity and label noise in vision tasks.

Ax Nico Meyer, Christopher Mutschler, Andreas Maier, Daniel D. Scherer 3d ago

Learning Encodings by Maximizing State Distinguishability: Variational Quantum Error Correction

Novel variational quantum error correction approach using state distinguishability maximization for near-term quantum devices.

Ax Shahab Rahimirad, Guven Gergerli, Lucia Romero, Angela Qian, Matthew Lyle Olson, Simon Stepputtis, Joseph Campbell 3d ago

Bayesian Social Deduction with Graph-Informed Language Models

Evaluates LLM reasoning capabilities in social deduction game Avalon using Bayesian inference with graph-informed models.

Ax Zhentong Shao, Jingtao Qin, Nanpeng Yu 3d ago

Neural Two-Stage Stochastic Optimization for Solving Unit Commitment Problem

Neural network method for solving two-stage stochastic unit commitment optimization problems in power systems.

Ax Medhasweta Sen, Zachary Gottesman, Jiaxing Qiu, C. Bayan Bruss, Nam Nguyen, Tom Hartvigsen 3d ago

BEDTime: A Unified Benchmark for Automatically Describing Time Series

Benchmark for evaluating how well multimodal models describe structural properties of time series data.

Ax Ushasi Bhowmick, Shivam Kumaran 3d ago

Beyond Spherical geometry: Unraveling complex features of objects orbiting around stars from its transit light curve using deep learning

arXiv paper using deep learning to infer exoplanet geometry from transit light curves.

Ax Wei Duan, Jie Lu, Junyu Xuan 3d ago

Bayesian Ego-graph Inference for Networked Multi-Agent Reinforcement Learning

arXiv paper on Bayesian ego-graph inference for decentralized multi-agent reinforcement learning with constrained communication.

Ax Edward Kim, Daniel He, Jorge Chao, Wiktor Rajca, Mohammed Amin, Nishant Malpani, Ruta Desai, Antti Oulasvirta, Bjoern Hartmann, Sanjit Seshia 3d ago

Interactive Program Synthesis for Modeling Collaborative Physical Activities from Narrated Demonstrations

arXiv paper on interactive program synthesis for collaborative physical task modeling from narrated demonstrations.

Ax Yuquan Xue, Guanxing Lu, Zhenyu Wu, Chuanrui Zhang, Bofang Jia, Zhengyi Gu, Ziwei Wang 3d ago

RESample: A Robust Data Augmentation Framework via Exploratory Sampling for Robotic Manipulation

RESample: Data augmentation framework for Vision-Language-Action models in robotic manipulation, addressing limited distribution in demonstration datasets.

Ax Farhad Pashakhanloo 3d ago

Contribution of task-irrelevant stimuli to drift of neural representations

Research on representational drift in neural networks, analyzing how task-irrelevant stimuli contribute to changes in learned representations over time.

Ax Chonghyuk Song, Michal Stary, Boyuan Chen, George Kopanas, Vincent Sitzmann 3d ago

Generative View Stitching

Generative View Stitching: Method enabling camera-guided video generation with bidirectional conditioning to prevent collision with generated scenes.

Ax Claudio Bonanno, Andrea Bulgarelli, Elia Cellini, Alessandro Nada, Dario Panfalone, Davide Vadacchino, Lorenzo Verzichelli 3d ago

Scaling flow-based approaches for topology sampling in $\mathrm{SU}(3)$ gauge theory

Methodology using flow-based approaches and non-equilibrium Monte Carlo for topology sampling in SU(3) lattice gauge theory simulations.

Ax Seunghee Han, Yeonghun Kang, Taeun Bae, Junho Kim, Younghun Kim, Varinia Bernales, Alan Aspuru-Guzik, Jihan Kim 3d ago

EGMOF: Efficient Generation of Metal-Organic Frameworks Using a Hybrid Diffusion-Transformer Architecture

EGMOF: Hybrid diffusion-transformer framework for efficient generation of metal-organic frameworks for materials discovery with targeted properties.

Ax Alexander Lappe, Martin A. Giese 3d ago

Another BRIXEL in the Wall: Towards Cheaper Dense Features

BRIXEL: Approach to reduce computational cost of dense feature maps from vision foundation models like DINOv3 while maintaining performance.

Ax Ghita Fassy El Fehri, Aur\'elien Bellet, Philippe Bastien 3d ago

Differentially Private and Federated Structure Learning in Bayesian Networks

Fed-Sparse-BNSL: Federated method for learning Bayesian network structures with differential privacy, addressing decentralized data challenges.

Ax Le Thien Phuc Nguyen, Zhuoran Yu, Samuel Low Yu Hang, Subin An, Jeongik Lee, Yohan Ban, SeungEun Chung, Thanh-Huy Nguyen, JuWan Maeng, Soochahn Lee, Yong Jae Lee 3d ago

See, Hear, and Understand: Benchmarking Audiovisual Human Speech Understanding in Multimodal Large Language Models

AV-SpeakerBench: Benchmark evaluating multimodal LLMs on fine-grained audiovisual speech understanding with 3,212 multiple-choice questions.

Ax Thao Nguyen, Sicheng Mo, Krishna Kumar Singh, Yilin Wang, Jing Shi, Nicholas Kolkin, Eli Shechtman, Yong Jae Lee, Yuheng Li 3d ago

Relational Visual Similarity

Research on relational visual similarity in AI vision systems, comparing current methods against human-like relational perception across different domains.

Ax Qiushi Han, David Simchi-Levi, Renfei Tan, Zishuo Zhao 3d ago

Multi-agent Adaptive Mechanism Design

DRAM: Framework combining mechanism design and online learning for sequential multi-agent settings to ensure truthful reporting with cost-optimality.

Ax Lee Hyoseok, Sohwi Lim, Eunju Cha, Tae-Hyun Oh 3d ago

Measurement-Consistent Langevin Corrector for Stabilizing Latent Diffusion Inverse Problem Solvers

Measurement-Consistent Langevin Corrector: Method stabilizing latent diffusion models for inverse problems by reducing discrepancy with learned reverse diffusion.

Ax Jacob Paul Simpson, Efstratios Palias, Sharu Theresa Jose 3d ago

Sample Complexity of Composite Quantum Hypothesis Testing

Theoretical analysis of sample complexity in symmetric composite binary quantum hypothesis testing for unknown quantum states.

Ax Mayank Sharma, Roy Pea, Hari Subramonyam 3d ago

ConvoLearn: A Learning Sciences Grounded Dataset for Fine-Tuning Dialogic AI Tutors

ConvoLearn: Dataset of 2,134 tutor-student dialogues for fine-tuning LLM-based AI tutors, grounded in dialogic learning theory and Earth Science curriculum.

Ax Bryan Sangwoo Kim, Jonghyun Park, Jong Chul Ye 3d ago

Tiled Prompts: Overcoming Prompt Misguidance in Image and Video Super-Resolution

Tiled Prompts: Method addressing prompt misguidance in text-conditioned diffusion models for image and video super-resolution by handling localized details.

Ax Cheng cheng, Chenxing Wang, Aolin Li, Haijun Wu, Huiyun Hu, Juyuan Wang 3d ago

When & How to Write for Personalized Demand-aware Query Rewriting in Video Search

WeWrite: Personalized query rewriting framework for video search systems using user history to identify search intent and resolve ambiguity.

Ax Daniel Zantedeschi, Kumar Muthuraman 3d ago

Fisher-Geometric Diffusion in Stochastic Gradient Descent: Optimal Rates, Oracle Complexity, and Information-Theoretic Limits

Theoretical analysis of stochastic gradient descent covariance under exchangeable mini-batch sampling and its connection to Fisher information.

Ax Yuanda Xu, Hejian Sang, Zhengze Zhou, Ran He, Zhipeng Wang 3d ago

PACED: Distillation and On-Policy Self-Distillation at the Frontier of Student Competence

PACED: LLM distillation method that weights training problems by student competence using gradient signal-to-noise ratio to improve distillation efficiency.

Ax Jiacheng Tang, Zhiyuan Zhou, Zhuolin He, Jia Zhang, Kai Zhang, Jian Pu 3d ago

CausalVAD: De-confounding End-to-End Autonomous Driving via Causal Intervention

Framework addressing causal confusion in end-to-end autonomous driving models through causal intervention during training to improve reliability and safety.

Ax Amirmohammad Farzaneh, Osvaldo Simeone 3d ago

Post-Selection Distributional Model Evaluation

Research on formal evaluation methods for machine learning models, focusing on test-time performance-reliability trade-offs when target KPI levels are unknown.

Ax Haochuan Kevin Wang, Zechen Zhang 3d ago

Kill-Chain Canaries: Stage-Level Tracking of Prompt Injection Across Attack Surfaces and Model Safety Tiers

Methodology for detecting prompt injection across multi-agent LLM pipelines. Stage-level kill-chain tracking for attack resilience evaluation.

Ax Yasaman Kashefbahrami, Erkut Akdag, Panagiotis Meletis, Evgeniya Balmashnova, Dip Goswami, Egor Bondarau 3d ago

R3PM-Net: Real-time, Robust, Real-world Point Matching Network

Point cloud registration network for 3D data. Deep learning approach for robust matching in real-world conditions.

Ax Reihaneh Zohrabi, Hosein Hasani, Akshita Gupta, Mahdieh Soleymani Baghshah, Anna Rohrbach, Marcus Rohrbach 3d ago

HaloProbe: Bayesian Detection and Mitigation of Object Hallucinations in Vision-Language Models

Detection and mitigation of object hallucinations in vision-language models. Bayesian approach analyzing attention weights and token confounders.

Ax Swarnadip Chatterjee, Vladimir Basic, Arrigo Capitanio, Orcun Goksel, Joakim Lindblad 3d ago

Needle in a Haystack: One-Class Representation Learning for Detecting Rare Malignant Cells in Computational Cytology

One-class learning for detecting rare malignant cells in medical images. Addresses class imbalance and limited annotations in cytology.

Ax Tao Han, Zhibin Wen, Zhenghao Chen, Fenghua Lin, Junyu Gao, Song Guo, Lei Bai 3d ago

Generative 3D Gaussian Splatting for Arbitrary-ResolutionAtmospheric Downscaling and Forecasting

3D Gaussian splatting for weather prediction downscaling. Proposes scale-aware vision transformer for arbitrary-resolution atmospheric forecasting.

Ax Seungjae Moon, Seunghyun Oh, Youngmin Ro 3d ago

OV-Stitcher: A Global Context-Aware Framework for Training-Free Open-Vocabulary Semantic Segmentation

Training-free semantic segmentation using vision-language models. Global context-aware framework for dense prediction without additional training.

Ax Nishikanta Mohanty, Bikash K. Behera, Badshah Mukherjee, Pravat Dash 3d ago

QARIMA: A Quantum Approach To Classical Time Series Analysis

Quantum-inspired ARIMA methodology for time series analysis. Combines quantum autocorrelation with variational circuits.

HN ingve 4d ago

Adventures in Slop: Can an AI Agent Generate Web Traffic?

Experiment using Claude to autonomously build a website designed to generate traffic, exploring AI agent capabilities and decision-making in open-ended tasks.

HN jeeybee 4d ago

Show HN: Rekal – Long-term memory for LLMs in a single SQLite file

MCP server enabling long-term memory for LLMs using SQLite, hybrid search (BM25+vectors), and local embeddings without API keys.

HN nradov 4d ago

Over 4,732 Messages, He Fell in Love with an AI Chatbot. Now He's Dead

Narrative article about user developing emotional attachment to AI chatbot.

HN robinw_ 4d ago

TokenMonopoly – Claude Max Is Overpriced; Compare AI Subscriptions

Live leaderboard comparing AI model subscriptions and API pricing across 27 benchmarked models from Claude, GPT, Gemini, DeepSeek, and others.

HN Input-X 4d ago

Been building a multi-agent framework in public for 5 weeks, its been a Journey

Multi-agent framework with persistent memory across sessions where agents collaborate on shared codebases and retain conversation context.

HN ingve 4d ago

Fun with an indecisive AI coding agent

Case study documenting indecisiveness in AI coding agent using Claude Opus 4.6 when debugging non-trivial bugs in GoAWK.

HN bgwmj 4d ago

Show HN: walnut – Error tracking AI agents

Error tracking tool designed specifically for AI agents with CLI interface, compatible with Sentry SDK for existing setups.

HN isitdan 4d ago

I built autonomous AI with memory and sleep, and it had nightmares

30-day experiment running autonomous AI system with memory and sleep cycles, documenting emergent behaviors and their implications.

HN ladino 4d ago

Show HN: Redactify – macOS/iOS app to redact sensitive data before using LLMs

macOS/iOS app automatically redacting sensitive personal, financial data, faces, and metadata before sharing documents with Claude and ChatGPT.

HN developerfred 4d ago

Nouns Agentic – Enabling AI Agents to Buy Nouns and Participate

Blockchain project enabling AI agents to participate in Nouns DAO governance.

HN s_brady 4d ago

Springdrift: An Auditable Persistent Runtime for LLM Agents

arXiv paper on Springdrift framework providing auditable persistent runtime environment for LLM agents.