René's URL Explorer Experiment


Title: shrebox (Shreyash Arya) · GitHub

Open Graph Title: shrebox - Overview

X Title: shrebox - Overview

Description: AI Research Engineer at Detesia@CISPA | Research Collaborator at Max Planck Institute for Informatics | Machine Learning Explainability - shrebox

Open Graph Description: AI Research Engineer at Detesia@CISPA | Research Collaborator at Max Planck Institute for Informatics | Machine Learning Explainability - shrebox

X Description: AI Research Engineer at Detesia@CISPA | Research Collaborator at Max Planck Institute for Informatics | Machine Learning Explainability - shrebox

Opengraph URL: https://github.com/shrebox

X: @github

direct link

Domain: github.com

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twitter:cardsummary
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og:image:altAI Research Engineer at Detesia@CISPA | Research Collaborator at Max Planck Institute for Informatics | Machine Learning Explainability - shrebox
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Stars 228 https://github.com/shrebox?tab=stars
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57 followers https://github.com/shrebox?tab=followers
44 following https://github.com/shrebox?tab=following
https://shrebox.github.io/https://shrebox.github.io/
@shreboxhttps://twitter.com/shrebox
in/shreboxhttps://www.linkedin.com/in/shrebox/
Achievementshttps://github.com/shrebox?tab=achievements
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x2https://github.com/shrebox?achievement=pull-shark&tab=achievements
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Achievementshttps://github.com/shrebox?tab=achievements
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x2https://github.com/shrebox?achievement=pull-shark&tab=achievements
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Developer Program Member https://docs.github.com/developers/overview/github-developer-program
blocking usershttps://docs.github.com/articles/blocking-a-user-from-your-personal-account
reporting abusehttps://docs.github.com/articles/reporting-abuse-or-spam
Report abusehttps://github.com/contact/report-abuse?report=shrebox+%28user%29
Overview https://github.com/shrebox
Repositories 81 https://github.com/shrebox?tab=repositories
Projects 0 https://github.com/shrebox?tab=projects
Packages 0 https://github.com/shrebox?tab=packages
Stars 228 https://github.com/shrebox?tab=stars
Overviewhttps://github.com/shrebox
Repositorieshttps://github.com/shrebox?tab=repositories
Projectshttps://github.com/shrebox?tab=projects
Packageshttps://github.com/shrebox?tab=packages
Starshttps://github.com/shrebox?tab=stars
shreboxhttps://github.com/shrebox/shrebox
https://github.com/shrebox#hi-there-
Detesia (CISPA)https://detesia.com/
Max Planck Institute for Informatics (MPI-INF)https://www.mpi-inf.mpg.de/departments/computer-vision-and-machine-learning
Saarland Informatics Campushttps://saarland-informatics-campus.de/en/
CISPAhttps://cispa.de/en
Detesiahttps://detesia.com/
Max Planck Institute for Informatics (MPI-INF)https://www.mpi-inf.mpg.de/departments/computer-vision-and-machine-learning
German Research Center for Artificial Intelligence (DFKI)https://www.dfki.de/
TCS Research and Innovation Labshttps://www.tcs.com/tcs-research
LinkedIn profilehttps://www.linkedin.com/in/shrebox/
Faithful, Interpretable Chest X-ray Diagnosis with Artifact-free B-cos Networkshttps://github.com/shrebox/Artifact-free-B-cos-Networks
MICCAI 2026https://conferences.miccai.org/2026/en/
B-cosification: Transforming Deep Neural Networks to be Inherently Interpretablehttps://github.com/shrebox/B-cosification
DAGM German Conference on Pattern Recognition, Freiburg 2025https://www.dagm-gcpr.de/year/2025/accepted-papers
B-cosification: Transforming Deep Neural Networks to be Inherently Interpretablehttps://github.com/shrebox/B-cosification
International Summer School for Computer Vision (ICVSS) 2025https://icvss.dmi.unict.it/icvss2025/Home
B-cosification: Transforming Deep Neural Networks to be Inherently Interpretablehttps://github.com/shrebox/B-cosification
CVPR@Paris 2025https://cvprinparis.github.io/CVPR2025InParis/
B-cosification: Transforming Deep Neural Networks to be Inherently Interpretablehttps://github.com/shrebox/B-cosification
neptune.aihttps://www.linkedin.com/feed/update/urn:li:activity:7265412032504479744/
YouTubehttps://youtu.be/zSEv3KBGlJQ
talkhttps://www.youtube.com/watch?v=ETfYZrSBzVQ&ab_channel=Cohere
Cohere for AIhttps://cohere.com/events/cohere-for-ai-shreyash-arya
B-cosification: Transforming Deep Neural Networks to be Inherently Interpretablehttps://sukrutrao.github.io/publication/b-cosification-transforming-deep-neural-networks-to-be-inherently-interpretable/
CISPAhttps://cispa.de/en
Detesiahttps://www.linkedin.com/company/detesia/posts/?feedView=all
[Link]https://nips.cc/virtual/2024/poster/95051
B-cosification: Transforming Deep Neural Networks to be Inherently Interpretablehttps://sukrutrao.github.io/publication/b-cosification-transforming-deep-neural-networks-to-be-inherently-interpretable/
Neural Information Processing Systems, 2024 (NeurIPS 2024)https://nips.cc/
International Conference on Computer Vision, 2023 (ICCV23)https://iccv2023.thecvf.com/
herehttps://github.com/shrebox/pokemon_diffusion
Max Planck Institute for Informatics (MPI-INF)https://people.mpi-inf.mpg.de/~sarya/
Computer Vision and Machine Learning group (D2)https://www.mpi-inf.mpg.de/departments/computer-vision-and-machine-learning
Hacktoberfest 2022https://hacktoberfest.digitalocean.com/
herehttps://github.com/shrebox/Hacktoberfest2021
German Research Center for Artificial Intelligence (DFKI)https://www.dfki.de/
MePheSTOhttps://www.dfki.de/en/web/research/projects-and-publications/projects-overview/project/mephesto
Inria, Francehttps://www.inria.fr/fr/mephesto-lia-au-service-de-la-detection-des-troubles-psychiatriques
Hacktoberfest 2021https://hacktoberfest.digitalocean.com/
herehttps://github.com/shrebox/Hacktoberfest2021
[Link]https://www.researchgate.net/publication/359962561_Identifying_Behavioral_Correlates_and_Pathways_for_Elderly_Wellbeing_During_the_Pandemic
British Academy of Management, 2021https://www.bam.ac.uk/events-landing/conference.html
[Link]https://link.springer.com/chapter/10.1007%2F978-3-030-73696-5_4
CONSTRAINT Workshop @ AAAI, 2021https://aaai.org/Conferences/AAAI-21/ws21workshops/#ws05
herehttps://arxiv.org/abs/2009.03168
Hacktoberfest 2020https://hacktoberfest.digitalocean.com/
herehttps://github.com/shrebox/Hacktoberfest-2020
herehttps://www.researchgate.net/publication/343949123_The_Influence_of_Social_Networks_on_Human_Society
herehttps://www.linkedin.com/in/shreyash-arya-60254810a/
herehttps://www.linkedin.com/in/shreyash-arya-60254810a/
LinkedInhttps://in.linkedin.com/in/shreyash-arya-60254810a
Xhttps://twitter.com/shrebox
Blueskyhttps://bsky.app/profile/shrebox.bsky.social
ResearchGatehttps://www.researchgate.net/profile/Shreyash_Arya/
Google Scholarhttps://scholar.google.com/citations?user=AmWtEfEAAAAJ&hl=en&authuser=1&oi=ao
https://camo.githubusercontent.com/451d30612c7da43c86863f63f1844ad4c5b4d60a68922b970b4db2b583a3cf6f/68747470733a2f2f6b6f6d617265762e636f6d2f67687076632f3f757365726e616d653d73687265626f78
Artifact-free-B-cos-Networkshttps://github.com/shrebox/Artifact-free-B-cos-Networks
2 https://github.com/shrebox/Artifact-free-B-cos-Networks/stargazers
B-cosificationhttps://github.com/shrebox/B-cosification
43 https://github.com/shrebox/B-cosification/stargazers
Pokemon-Diffusionhttps://github.com/shrebox/Pokemon-Diffusion
gerritgr/pokemon_diffusionhttps://github.com/gerritgr/pokemon_diffusion
5 https://github.com/shrebox/Pokemon-Diffusion/stargazers
Privacy-Attacks-in-Machine-Learninghttps://github.com/shrebox/Privacy-Attacks-in-Machine-Learning
69 https://github.com/shrebox/Privacy-Attacks-in-Machine-Learning/stargazers
8 https://github.com/shrebox/Privacy-Attacks-in-Machine-Learning/forks
Conv-AcT-pytorchhttps://github.com/shrebox/Conv-AcT-pytorch
m-hamza-mughal/Conv-AcT-pytorchhttps://github.com/m-hamza-mughal/Conv-AcT-pytorch
2 https://github.com/shrebox/Conv-AcT-pytorch/stargazers
Proactive-and-Reactive-Measures-for-Adversarial-Defensehttps://github.com/shrebox/Proactive-and-Reactive-Measures-for-Adversarial-Defense
pankhurivanjani/Proactive-and-Reactive-Measures-for-Adversarial-Defensehttps://github.com/pankhurivanjani/Proactive-and-Reactive-Measures-for-Adversarial-Defense
2 https://github.com/shrebox/Proactive-and-Reactive-Measures-for-Adversarial-Defense/stargazers
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