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Showing 346661 results for "avoidance learning"
AI & Data Science Preprint PDF DOI

Handling and Interpreting Missing Modalities in Patient Clinical Trajectories via Autoregressive Sequence Modeling

Andrew Wang, Ellie Pavlick, Ritambhara Singh ยท 2026

An active challenge in developing multimodal machine learning (ML) models for healthcare is handling missing modalities during training and deployment. As clinical datasets are inherently temporal andโ€ฆ

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AI & Data Science Preprint PDF DOI

Beyond Coefficients: Forecast-Necessity Testing for Interpretable Causal Discovery in Nonlinear Time-Series Models

Valentina Kuskova, Dmitry Zaytsev, Michael Coppedge ยท 2026

Nonlinear machine-learning models are increasingly used to discover causal relationships in time-series data, yet the interpretation of their outputs remains poorly understood. In particular, causal sโ€ฆ

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Earth & Environmental Sciences Preprint PDF DOI

Laser-based mass spectrometry for the detection of signatures of life within our Solar System

Andreas Riedo, Salome Gruchola, Nikita J. Boeren, Peter Keresztes Schmidt, Luca N. Knecht, Youcef Sellam, Marek Tulej, Peter Wurz ยท 2026

The search for signatures of life beyond Earth has been a major goal of space research and astrobiology for decades. The combination of expanded knowledge on Solar System bodies from past missions andโ€ฆ

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AI & Data Science Preprint PDF DOI

DeltaSeg: Tiered Attention and Deep Delta Learning for Multi-Class Structural Defect Segmentation

Enrique Hernandez Noguera, Md Meftahul Ferdaus, Elias Ioup, Mahdi Abdelguerfi ยท 2026

Automated segmentation of structural defects from visual inspection imagery remains challenging due to the diversity of damage types, extreme class imbalance, and the need for precise boundary delineaโ€ฆ

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AI & Data Science Preprint PDF DOI

Match-Any-Events: Zero-Shot Motion-Robust Feature Matching Across Wide Baselines for Event Cameras

Ruijun Zhang, Hang Su, Kostas Daniilidis, Ziyun Wang ยท 2026

Event cameras have recently shown promising capabilities in instantaneous motion estimation due to their robustness to low light and fast motions. However, computing wide-baseline correspondence betweโ€ฆ

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AI & Data Science Preprint PDF DOI

Autonomous Skeletal Landmark Localization towards Agentic C-Arm Control

Jay Jung, Ahmad Arrabi, Jax Luo, Scott Raymond, Safwan Wshah ยท 2026

Purpose: Automated C-arm positioning ensures timely treatment in patients requiring emergent interventions. When a conventional Deep Learning (DL) approach for C-arm control fails, clinicians must revโ€ฆ

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AI & Data Science Preprint PDF DOI

Discrete Tilt Matching

Yuyuan Chen, Shiyi Wang, Peter Potaptchik, Jaeyeon Kim, Michael S. Albergo ยท 2026

Masked diffusion large language models (dLLMs) are a promising alternative to autoregressive generation. While reinforcement learning (RL) methods have recently been adapted to dLLM fine-tuning, theirโ€ฆ

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Computer Science Preprint PDF DOI

Students Know AI Should Not Replace Thinking, but How Do They Regulate It? The TACO Framework for Human-AI Cognitive Partnership

Cecilia Ka Yuk Chan ยท 2026

As generative artificial intelligence becomes increasingly embedded in educational practice, a central concern is whether students use AI as cognitive support or as a substitute for thinking. Prior reโ€ฆ

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Physics Preprint PDF DOI

Learning error suppression strategies for dynamic quantum circuits

Christopher Tong, Liran Shirizly, Edward H. Chen, Derek S. Wang, Bibek Pokharel ยท 2026

Dynamic quantum circuits integrate unitary evolution with mid-circuit measurement and feedforward, enabling conditional operations essential for efficient quantum algorithms and foundational for faultโ€ฆ

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Earth & Environmental Sciences Preprint PDF DOI

Skillful Global Ocean Emulation and the Role of Correlation-Aware Loss

Niraj Agarwal, Timothy A. Smith, Sergey Frolov, Laura C. Slivinski ยท 2026

Machine learning emulators have shown extraordinary skill in forecasting atmospheric states, and their application to global ocean dynamics offers similar promise. Here, we adapt the GraphCast architeโ€ฆ

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AI & Data Science Preprint PDF DOI

Scripts Through Time: A Survey of the Evolving Role of Transliteration in NLP

Thanmay Jayakumar, Deepon Halder, Raj Dabre ยท 2026

Cross-lingual transfer in NLP is often hindered by the ``script barrier'' where differences in writing systems inhibit transfer learning between languages. Transliteration, the process of converting tโ€ฆ

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Physics Preprint PDF DOI

Exponentially-improved effective descriptions of physical bosonic systems

Varun Upreti, Nicolas Quesada, Ulysse Chabaud ยท 2026

The effective description of a bosonic quantum system identifies the minimum finite dimension required to capture its essential dynamics. This effective dimension plays an important role in the compleโ€ฆ

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Computer Science Preprint PDF DOI

TrEEStealer: Stealing Decision Trees via Enclave Side Channels

Jonas Sander, Anja Rabich, Nick Mahling, Felix Maurer, Jonah Heller, Qifan Wang, Thomas Eisenbarth, David Oswald ยท 2026

Today, machine learning is widely applied in sensitive, security-related, and financially lucrative applications. Model extraction attacks undermine current business models where a model owner sells mโ€ฆ

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Physics Preprint PDF DOI

Harmoniq: Efficient Data Augmentation on a Quantum Computer Inspired by Harmonic Analysis

Kristina Kirova, Monika Doerfler, Franz Luef, Richard Kueng ยท 2026

Quantum machine learning has attracted significant interest in recent years. Most existing approaches, however, are variational in nature and require extensive parameter optimization subroutines. Hereโ€ฆ

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Earth & Environmental Sciences Preprint PDF DOI

The T16 Planet Hunt: 10,000 New Planet Candidates from TESS Cycle 1 and the Confirmation of a Hot Jupiter Around TIC 183374187

Joshua T. Roth, Joel D. Hartman, Gaspar A. Bakos, Samuel W. Yee, Luke G. Bouma, Jhon Yana Galarza, Johanna K. Teske, R.P. Butler, Jeffrey D. Crane, Steve Shectman, David Osip, Shreyas Vissapragada, Yuri Beletsky, Shubham Kanodia, Yadira Gaibor ยท 2026

The T16 project has produced a uniformly detrended and systematics-corrected set of 83,717,159 TESS Cycle 1 full-frame image light curves for stars observed by TESS in its primary mission down to T=16โ€ฆ

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AI & Data Science Preprint PDF DOI

Bounded Ratio Reinforcement Learning

Yunke Ao, Le Chen, Bruce D. Lee, Assefa S. Wahd, Aline Czarnobai, Philipp Furnstahl, Bernhard Scholkopf, Andreas Krause ยท 2026

Proximal Policy Optimization (PPO) has become the predominant algorithm for on-policy reinforcement learning due to its scalability and empirical robustness across domains. However, there is a signifiโ€ฆ

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AI & Data Science Preprint PDF DOI

When Can LLMs Learn to Reason with Weak Supervision?

Salman Rahman, Jingyan Shen, Anna Mordvina, Hamid Palangi, Saadia Gabriel, Pavel Izmailov ยท 2026

Large language models have achieved significant reasoning improvements through reinforcement learning with verifiable rewards (RLVR). Yet as model capabilities grow, constructing high-quality reward sโ€ฆ

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AI & Data Science Preprint PDF DOI

T-REN: Learning Text-Aligned Region Tokens Improves Dense Vision-Language Alignment and Scalability

Savya Khosla, Sethuraman T V, Aryan Chadha, Alex Schwing, Derek Hoiem ยท 2026

Despite recent progress, vision-language encoders struggle with two core limitations: (1) weak alignment between language and dense vision features, which hurts tasks like open-vocabulary semantic segโ€ฆ

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AI & Data Science Preprint PDF DOI

Revisiting Active Sequential Prediction-Powered Mean Estimation

Maria-Eleni Sfyraki, Jun-Kun Wang ยท 2026

In this work, we revisit the problem of active sequential prediction-powered mean estimation, where at each round one must decide the query probability of the ground-truth label upon observing the covโ€ฆ

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AI & Data Science Preprint PDF DOI

Physics-Informed Neural Networks for Biological $2\mathrm{D}{+}t$ Reaction-Diffusion Systems

William Lavery, Jodie A. Cochrane, Christian Olesen, Dagim S. Tadele, John T. Nardini, Sara Hamis ยท 2026

Physics-informed neural networks (PINNs) provide a powerful framework for learning governing equations of dynamical systems from data. Biologically-informed neural networks (BINNs) are a variant of PIโ€ฆ

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