Cover Image

Epicure: Multidimensional Flavor Structure in Food Ingredient Embeddings

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Radzikowski, Jakub, Chen, Josef
Format:	Preprint
Published:	2026
Subjects:	Computers and Society Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Epicure: Navigating the Emergent Geometry of Food Ingredient Embeddings
by: Radzikowski, Jakub, et al.
Published: (2026)

Contextual Budget Bandit for Food Rescue Volunteer Engagement
by: Tang, Ariana, et al.
Published: (2025)

Fairness in Ranking: Robustness through Randomization without the Protected Attribute
by: Kliachkin, Andrii, et al.
Published: (2024)

Cognitive Structure Generation: From Educational Priors to Policy Optimization
by: Gu, Hengnian, et al.
Published: (2025)

Enhancing Knowledge Tracing through Leakage-Free and Recency-Aware Embeddings
by: Badran, Yahya, et al.
Published: (2025)

Disentangling Heterogeneous Knowledge Concept Embedding for Cognitive Diagnosis on Untested Knowledge
by: Zhang, Miao, et al.
Published: (2024)

LLM-Assisted Content Conditional Debiasing for Fair Text Embedding
by: Deng, Wenlong, et al.
Published: (2024)

Informatics for Food Processing
by: Ispirova, Gordana, et al.
Published: (2025)

Prerequisite Structure Discovery in Intelligent Tutoring Systems
by: Annabi, Louis, et al.
Published: (2024)

Responsible Artificial Intelligence: A Structured Literature Review
by: Goellner, Sabrina, et al.
Published: (2024)

Beyond Prompting: An Efficient Embedding Framework for Open-Domain Question Answering
by: Hu, Zhanghao, et al.
Published: (2025)

Embedding Enhancement via Fine-Tuned Language Models for Learner-Item Cognitive Modeling
by: Liu, Yuanhao, et al.
Published: (2026)

Position: Beyond Sensitive Attributes, ML Fairness Should Quantify Structural Injustice via Social Determinants
by: Tang, Zeyu, et al.
Published: (2025)

E2Vec: Feature Embedding with Temporal Information for Analyzing Student Actions in E-Book Systems
by: Miyazaki, Yuma, et al.
Published: (2024)

Defining and Evaluating Physical Safety for Large Language Models
by: Tang, Yung-Chen, et al.
Published: (2024)

Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness
by: Zhao, Chen, et al.
Published: (2024)

Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments
by: Lin, Yujie, et al.
Published: (2023)

Algorithmic Fairness Generalization under Covariate and Dependence Shifts Simultaneously
by: Zhao, Chen, et al.
Published: (2023)

MANTA: Multi-turn Assessment for Nonhuman Thinking & Alignment
by: Lu, Allen, et al.
Published: (2026)

Beyond Images: Adaptive Fusion of Visual and Textual Data for Food Classification
by: Mittal, Prateek, et al.
Published: (2023)

Authority Inversion in LLM-Mediated Ubiquitous Systems: When Models Trust Users Over Sensors
by: Zhang, Long, et al.
Published: (2026)

Personalized Knowledge Tracing through Student Representation Reconstruction and Class Imbalance Mitigation
by: Chen, Zhiyu, et al.
Published: (2024)

IoTCO2: Assessing the End-To-End Carbon Footprint of Internet-of-Things-Enabled Deep Learning
by: Chen, Fan, et al.
Published: (2024)

On Catastrophic Inheritance of Large Foundation Models
by: Chen, Hao, et al.
Published: (2024)

Learning Fair Invariant Representations under Covariate and Correlation Shifts Simultaneously
by: Li, Dong, et al.
Published: (2024)

Quantifying the Cross-sectoral Intersecting Discrepancies within Multiple Groups Using Latent Class Analysis Towards Fairness
by: Yuan, Yingfang, et al.
Published: (2024)

Reinforced Sequential Decision-Making for Sepsis Treatment: The POSNEGDM Framework with Mortality Classifier and Transformer
by: Tamboli, Dipesh, et al.
Published: (2024)

Mitigating Gender Bias in Depression Detection via Counterfactual Inference
by: Hu, Mingxuan, et al.
Published: (2025)

Supervised Algorithmic Fairness in Distribution Shifts: A Survey
by: Shao, Minglai, et al.
Published: (2024)

TransFlower: An Explainable Transformer-Based Model with Flow-to-Flow Attention for Commuting Flow Prediction
by: Luo, Yan, et al.
Published: (2024)

Integrating Social Determinants of Health into Knowledge Graphs: Evaluating Prediction Bias and Fairness in Healthcare
by: Shang, Tianqi, et al.
Published: (2024)

Uncertainty-Aware Probabilistic Graph Neural Networks for Road-Level Traffic Accident Prediction
by: Gao, Xiaowei, et al.
Published: (2023)

FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods
by: Han, Xiaotian, et al.
Published: (2023)

DASKT: A Dynamic Affect Simulation Method for Knowledge Tracing
by: Sun, Xinjie, et al.
Published: (2025)

Unified Uncertainty Estimation for Cognitive Diagnosis Models
by: Wang, Fei, et al.
Published: (2024)

Perturbation Effects on Accuracy and Fairness among Similar Individuals
by: Li, Xuran, et al.
Published: (2024)

Explainable AI Systems Must Be Contestable: Here's How to Make It Happen
by: Moreira, Catarina, et al.
Published: (2025)

TestAgent: An Adaptive and Intelligent Expert for Human Assessment
by: Yu, Junhao, et al.
Published: (2025)

Diagnosing Hallucination Risk in AI Surgical Decision-Support: A Sequential Framework for Sequential Validation
by: Chen, Dong, et al.
Published: (2025)

SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery
by: Klemmer, Konstantin, et al.
Published: (2023)