TMLR certifications

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New certifications for TMLR papers

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New #FeaturedCertification:

Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration

Mauricio Delbracio, Peyman Milanfar

https://openreview.net/forum?id=VmyFF5lL3F

#denoising #restoration #deblurring

Inversion by Direct Iteration: An Alternative to Denoising...

Inversion by Direct Iteration (InDI) is a new formulation for supervised image restoration that avoids the so-called ``regression to the mean'' effect and produces more realistic and detailed...

OpenReview

New #ReproducibilityCertification:

Numerical Data Imputation for Multimodal Data Sets: A Probabilistic Nearest-Neighbor Kernel Densi...

Florian Lalande, Kenji Doya

https://openreview.net/forum?id=KqR3rgooXb

#imputation #multimodal #imputed

Numerical Data Imputation for Multimodal Data Sets: A Probabilistic...

Numerical data imputation algorithms replace missing values by estimates to leverage incomplete data sets. Current imputation methods seek to minimize the error between the unobserved ground truth...

OpenReview

New #FeaturedCertification:

LEAD: Min-Max Optimization from a Physical Perspective

Reyhane Askari Hemmat, Amartya Mitra, Guillaume Lajoie, Ioannis Mitliagkas

https://openreview.net/forum?id=vXSsTYs6ZB

#gans #gan #adversarial

LEAD: Min-Max Optimization from a Physical Perspective

Adversarial formulations such as generative adversarial networks (GANs) have rekindled interest in two-player min-max games. A central obstacle in the optimization of such games is the rotational...

OpenReview
On Averaging ROC Curves

Receiver operating characteristic (ROC) curves are a popular method of summarising the performance of classifiers. The ROC curve describes the separability of the distributions of predictions from...

OpenReview

New #SurveyCertification:

How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Fu...

Jorge A Mendez, ERIC EATON

https://openreview.net/forum?id=VynY6Bk03b

#lifelong #knowledge #composition

How to Reuse and Compose Knowledge for a Lifetime of Tasks: A...

A major goal of artificial intelligence (AI) is to create an agent capable of acquiring a general understanding of the world. Such an agent would require the ability to continually accumulate and...

OpenReview

New #ReproducibilityCertification:

Aux-Drop: Handling Haphazard Inputs in Online Learning Using Auxiliary Dropouts

Rohit Agarwal, Deepak Gupta, Alexander Horsch, Dilip K. Prasad

https://openreview.net/forum?id=R9CgBkeZ6Z

#dropouts #dropout #feature

Aux-Drop: Handling Haphazard Inputs in Online Learning Using...

Many real-world applications based on online learning produce streaming data that is haphazard in nature, i.e., contains missing features, features becoming obsolete in time, the appearance of new...

OpenReview

New #FeaturedCertification:

Generalizability of Adversarial Robustness Under Distribution Shifts

Kumail Alhamoud, Hasan Abed Al Kader Hammoud, Motasem Alfarra, Bernard Ghanem

https://openreview.net/forum?id=XNFo3dQiCJ

#adversarial #robustness #robust

Generalizability of Adversarial Robustness Under Distribution Shifts

Recent progress in empirical and certified robustness promises to deliver reliable and deployable Deep Neural Networks (DNNs). Despite that success, most existing evaluations of DNN robustness have...

OpenReview

New #SurveyCertification:

Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training

Utku Ozbulak, Hyun Jung Lee, Beril Boga et al.

https://openreview.net/forum?id=Ma25S4ludQ

#supervised #discriminative #generative

Know Your Self-supervised Learning: A Survey on Image-based...

Although supervised learning has been highly successful in improving the state-of-the-art in the domain of image-based computer vision in the past, the margin of improvement has diminished...

OpenReview

New #FeaturedCertification:

Attacking Perceptual Similarity Metrics

Abhijay Ghildyal, Feng Liu

https://openreview.net/forum?id=r9vGSpbbRO

#adversarial #attacks #robustness

Attacking Perceptual Similarity Metrics

Perceptual similarity metrics have progressively become more correlated with human judgments on perceptual similarity; however, despite recent advances, the addition of an imperceptible distortion...

OpenReview

New #SurveyCertification:

Forces are not Enough: Benchmark and Critical Evaluation for Machine Learning Force Fields with M...

Xiang Fu, Zhenghao Wu, Wujie Wang, Tian Xie, Sinan Keten, Rafael Gomez-Bombarelli, Tommi S. Jaakkola

https://openreview.net/forum?id=A8pqQipwkt

#molecular #molecules #benchmarked

Forces are not Enough: Benchmark and Critical Evaluation for...

Molecular dynamics (MD) simulation techniques are widely used for various natural science applications. Increasingly, machine learning (ML) force field (FF) models begin to replace ab-initio...

OpenReview