Tmlr 25 Controlled Training Data

Media Summary: In this talk, I present our recent work on Multiscale Gómez-Gálvez, S., Olenyi, T., Dobbie, G., & Taskova, K. (2026). Socrates Loss: Unifying Confidence Calibration and Classification ... Enjoy my video presentation on our work "Robust Weight Imprinting: Insights from Neural Collapse and Proxy-Based Aggregation" ...

Tmlr 25 Controlled Training Data - Detailed Analysis & Overview

In this talk, I present our recent work on Multiscale Gómez-Gálvez, S., Olenyi, T., Dobbie, G., & Taskova, K. (2026). Socrates Loss: Unifying Confidence Calibration and Classification ... Enjoy my video presentation on our work "Robust Weight Imprinting: Insights from Neural Collapse and Proxy-Based Aggregation" ... MRCT Center Webinar May 18, 2026 60 minutes How do we know whether an AI model is credible? Whether the Presentation video for the paper "Search-TTA: A Multimodal Test-Time Adaptation Framework for Visual Search in the Wild", ... The Gradient Descent PRO + Free E-Book "Machine Learning Simplified":

In this AI Research Roundup episode, Alex discusses the paper: 'TEMPO: Scaling Test-time I made DevPayHub for solo devs. Payments & users handled. Understand the dangers of fitting scalers on ...

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[TMLR'25] Controlled Training Data Generation with Diffusion Models

Multiscale Training of Convolutional Neural Networks [TMLR, 2026]

Socrates Loss: Unifying Confidence Calibration and Classification by Leveraging the Unknown | TMLR

Robust Weight Imprinting: Insights from Neural Collapse and Proxy-Based Aggregation [TMLR, 2025]

Data Quality, Model Validation, and Governance for AI Digital Twins and Synthetic Data

Can Interpretability Control Model Training?

[CoRL25] Search-TTA: A Multimodal Test-Time Adaptation Framework for Visual Search in the Wild

All Machine Learning Models Explained in 25 Minutes

TEMPO: Scaling Test-time Training for LRMs

Machine Learning - Don't Fit Your Scaler on TEST Data

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[TMLR'25] Controlled Training Data Generation with Diffusion Models

[TMLR'25] Controlled Training Data Generation with Diffusion Models

An overview of the paper

Multiscale Training of Convolutional Neural Networks [TMLR, 2026]

Multiscale Training of Convolutional Neural Networks [TMLR, 2026]

In this talk, I present our recent work on Multiscale

Socrates Loss: Unifying Confidence Calibration and Classification by Leveraging the Unknown | TMLR

Socrates Loss: Unifying Confidence Calibration and Classification by Leveraging the Unknown | TMLR

Gómez-Gálvez, S., Olenyi, T., Dobbie, G., & Taskova, K. (2026). Socrates Loss: Unifying Confidence Calibration and Classification ...

Robust Weight Imprinting: Insights from Neural Collapse and Proxy-Based Aggregation [TMLR, 2025]

Robust Weight Imprinting: Insights from Neural Collapse and Proxy-Based Aggregation [TMLR, 2025]

Enjoy my video presentation on our work "Robust Weight Imprinting: Insights from Neural Collapse and Proxy-Based Aggregation" ...

Data Quality, Model Validation, and Governance for AI Digital Twins and Synthetic Data

Data Quality, Model Validation, and Governance for AI Digital Twins and Synthetic Data

MRCT Center Webinar | May 18, 2026 | 60 minutes How do we know whether an AI model is credible? Whether the

Can Interpretability Control Model Training?

Can Interpretability Control Model Training?

A talk I gave to my MATS 9.0

[CoRL25] Search-TTA: A Multimodal Test-Time Adaptation Framework for Visual Search in the Wild

[CoRL25] Search-TTA: A Multimodal Test-Time Adaptation Framework for Visual Search in the Wild

Presentation video for the paper "Search-TTA: A Multimodal Test-Time Adaptation Framework for Visual Search in the Wild", ...

All Machine Learning Models Explained in 25 Minutes

All Machine Learning Models Explained in 25 Minutes

The Gradient Descent PRO + Free E-Book "Machine Learning Simplified": https://www.thegradientdescent.net/upgrade ...

TEMPO: Scaling Test-time Training for LRMs

TEMPO: Scaling Test-time Training for LRMs

In this AI Research Roundup episode, Alex discusses the paper: 'TEMPO: Scaling Test-time

Machine Learning - Don't Fit Your Scaler on TEST Data

Machine Learning - Don't Fit Your Scaler on TEST Data

I made DevPayHub for solo devs. Payments & users handled. https://devpayhub.com Understand the dangers of fitting scalers on ...