Cover Image

When Are Multimodal Predictions Biologically Supported? A Diagnostic Evaluation Framework

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Steiner, Dylan, Arango-Argoty, Gustavo, Sun, Gerald, Jacob, Etai
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

When can transformers reason with abstract symbols?
by: Boix-Adsera, Enric, et al.
Published: (2023)

Enhancing JEPAs with Spatial Conditioning: Robust and Efficient Representation Learning
by: Littwin, Etai, et al.
Published: (2024)

When Does Trimming Help Conformal Prediction? A Retained-Law Diagnostic under Calibration Contamination
by: Wang, Congye
Published: (2026)

When Machine Learning Gets Personal: Evaluating Prediction and Explanation
by: Cornelis, Louisa, et al.
Published: (2025)

MAP-Former: Multi-Agent-Pair Gaussian Joint Prediction
by: Steiner, Marlon, et al.
Published: (2024)

A Unified Evaluation Framework for Epistemic Predictions
by: Manchingal, Shireen Kudukkil, et al.
Published: (2025)

A Bayesian Framework for Post-disruption Travel Time Prediction in Metro Networks
by: Nazemi, Shayan, et al.
Published: (2026)

MJ1: Multimodal Judgment via Grounded Verification
by: Kumar, Bhavesh, et al.
Published: (2026)

When Should We Introduce Safety Interventions During Pretraining?
by: Sam, Dylan, et al.
Published: (2026)

When to Accept Automated Predictions and When to Defer to Human Judgment?
by: Sikar, Daniel, et al.
Published: (2024)

How JEPA Avoids Noisy Features: The Implicit Bias of Deep Linear Self Distillation Networks
by: Littwin, Etai, et al.
Published: (2024)

Distilling and Adapting: A Topology-Aware Framework for Zero-Shot Interaction Prediction in Multiplex Biological Networks
by: Deng, Alana, et al.
Published: (2026)

Text-Conditional JEPA for Learning Semantically Rich Visual Representations
by: Huang, Chen, et al.
Published: (2026)

Understanding When Poisson Log-Normal Models Outperform Penalized Poisson Regression for Microbiome Count Data
by: Agyapong, Daniel, et al.
Published: (2026)

From Prediction to Simulation: AlphaFold 3 as a Differentiable Framework for Structural Biology
by: Abbaszadeh, Alireza, et al.
Published: (2025)

When Genes Speak: A Semantic-Guided Framework for Spatially Resolved Transcriptomics Data Clustering
by: Long, Jiangkai, et al.
Published: (2025)

Multimodal Integration of Longitudinal Noninvasive Diagnostics for Survival Prediction in Immunotherapy Using Deep Learning
by: Yeghaian, Melda, et al.
Published: (2024)

Adaptive Diagnostic Reasoning Framework for Pathology with Multimodal Large Language Models
by: Hong, Yunqi, et al.
Published: (2025)

Bag of Tricks for Multimodal AutoML with Image, Text, and Tabular Data
by: Tang, Zhiqiang, et al.
Published: (2024)

Breaking the Illusion: When Positive Meets Negative in Multimodal Decoding
by: Jiang, Yubo, et al.
Published: (2026)

To Infinity and Beyond: Tool-Use Unlocks Length Generalization in State Space Models
by: Malach, Eran, et al.
Published: (2025)

UTOPYA: A Multimodal Deep Learning Framework for Physics-Informed Anomaly Detection and Time-Series Prediction
by: Pessoa, Robson W. S., et al.
Published: (2026)

Iterate to Accelerate: A Unified Framework for Iterative Reasoning and Feedback Convergence
by: Fein-Ashley, Jacob
Published: (2025)

The Manokhin Probability Matrix: A Diagnostic Framework for Classifier Probability Quality
by: Manokhin, Valery
Published: (2026)

Understanding When Graph Convolutional Networks Help: A Diagnostic Study on Label Scarcity and Structural Properties
by: Subedi, Nischal, et al.
Published: (2025)

Conditional Coverage Diagnostics for Conformal Prediction
by: Braun, Sacha, et al.
Published: (2025)

When Predictions Shape Reality: A Socio-Technical Synthesis of Performative Predictions in Machine Learning
by: Fybish, Gal, et al.
Published: (2026)

Conformal Prediction Assessment: A Framework for Conditional Coverage Evaluation and Selection
by: Zhou, Zheng, et al.
Published: (2026)

PMRT: A Training Recipe for Fast, 3D High-Resolution Aerodynamic Prediction
by: Jacob, Sam Jacob, et al.
Published: (2025)

A Simplified and Numerically Stable Approach to the BG/NBD Churn Prediction model
by: Zammit, Dylan, et al.
Published: (2025)

From Prediction to Practice: A Task-Aware Evaluation Framework for Blood Glucose Forecasting
by: Namazi, Alireza, et al.
Published: (2026)

LMM-IR: Large-Scale Netlist-Aware Multimodal Framework for Static IR-Drop Prediction
by: Ma, Kai, et al.
Published: (2025)

Curriculum Learning for Biological Sequence Prediction: The Case of De Novo Peptide Sequencing
by: Zhang, Xiang, et al.
Published: (2025)

Distributional Offline Policy Evaluation with Predictive Error Guarantees
by: Wu, Runzhe, et al.
Published: (2023)

Distillation Scaling Laws
by: Busbridge, Dan, et al.
Published: (2025)

MMCTOP: A Multimodal Textualization and Mixture-of-Experts Framework for Clinical Trial Outcome Prediction
by: Aparício, Carolina, et al.
Published: (2025)

MoE-Health: A Mixture of Experts Framework for Robust Multimodal Healthcare Prediction
by: Wang, Xiaoyang, et al.
Published: (2025)

Resolution Diagnostics for Paired LLM Evaluation
by: Kotawala, Anany
Published: (2026)

A Diagnostic Evaluation of Neural Networks Trained with the Error Diffusion Learning Algorithm
by: Fujita, Kazuhisa
Published: (2025)

Conformal Prediction for Multimodal Regression
by: Bose, Alexis, et al.
Published: (2024)