I'm an AI Research Engineer at Detesia (CISPA) and a Research Collaborator at the Max Planck Institute for Informatics (MPI-INF), where I focus on Machine Learning Explainability. Currently based in Saarbrücken, Germany, I recently completed my Master's in Computer Science at the Saarland Informatics Campus.
My professional journey includes experience as an AI Research Engineer at CISPA's startup Detesia, Research Assistant at the Max Planck Institute for Informatics (MPI-INF) and the German Research Center for Artificial Intelligence (DFKI) in Saarbrücken, as well as a role as Researcher at TCS Research and Innovation Labs in New Delhi.
For more about my work and projects, feel free to explore my LinkedIn profile. Let's connect!
💡 Updates:
2026
- [PAPER] Our work "Faithful, Interpretable Chest X-ray Diagnosis with Artifact-free B-cos Networks", Shreyash Arya*, Shashank Agnihotri*, Marcel Kleinmann, Bernt Schiele, and Margret Keuper, accepted at MICCAI 2026 conference, Main Track.
2025
- [PAPER] Our work "B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable" accepted at the DAGM German Conference on Pattern Recognition, Freiburg 2025, Nectar Track.
- [POSTER] Attending and presenting "B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable" at the International Summer School for Computer Vision (ICVSS) 2025 held in Sicily, Italy. Feel free to hit me up if you're also there :)
- [POSTER] Presenting our work "B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable" at CVPR@Paris 2025.
2024
- [MEDIA] Our recent work "B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable" featured by neptune.ai. Also, check out the full video interview on YouTube.
- [TALK] Invited to give a talk at Cohere for AI on our recent NeurIPS 2024 publication: "B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable".
- [CAREER] Joined as an AI Research Engineer at CISPA's startup Detesia specializing in Machine Learning Explainability for Deep Fake Detection.
- [PAPER] [Link] Accepted full paper: "B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable", Shreyash Arya*, Sukrut Rao*, Moritz Böhle* and Bernt Schiele. Neural Information Processing Systems, 2024 (NeurIPS 2024).
2023 and earlier
2023
- [SERVICE] Attending International Conference on Computer Vision, 2023 (ICCV23) in Paris as a student volunteer; hit me up if you're also there! :)
- [PROJECT] Check out my first attempt to generate new Pokemons using Deep Generative Diffusion Models here.
2022
- [CAREER] Joined as a research assistant at Max Planck Institute for Informatics (MPI-INF) in the Computer Vision and Machine Learning group (D2).
- [OPENSOURCE]
Hacktoberfest 2022 is back! Register and pull requests to the repository here. Happy Hacking! :) - [CAREER] Joined as a research assistant at German Research Center for Artificial Intelligence (DFKI) in the Cognitive Assistants group. I'm working on the MePheSTO project in collaboration with Inria, France.
2021
- [OPENSOURCE] Yet another successful Hacktoberfest 2021; checkout this years's repository here. Happy Hacking! :)
- [PAPER] [Link] Accepted full paper: "Identifying Behavioral Correlates and Pathways for Elderly Wellbeing During the Pandemic", Shreyash Arya, Arnab Chatterjee and Mayuri Duggirala. British Academy of Management, 2021.
- [PAPER] [Link] Accepted paper: "Revealing the Blackmarket Retweet Game: A Hybrid Approach", Shreyash Arya and Hridoy Sankar Dutta. CONSTRAINT Workshop @ AAAI, 2021.
2020
- [PAPER] Check out my recent publication on "Effect of lockdown interventions to control the COVID-19 epidemic in India", Ankit Sharma, Shreyash Arya, Shashee Kumari and Arnab Chatterjee, here.
- [OPENSOURCE] It was a real successful Hacktoberfest 2020 with 74 pull requests, 30 forks and 11 stars; checkout this years's repository here. Happy Hacking! :)
- [PAPER] Check out my independent work on "The Influence of Social Networks on Human Society", here.
Here are some ideas to get you started:
- 🔭 I’m currently working on Explainable Machine Learning (xAI) and Deepfake Detection.
- 🌱 I’m currently learning Interpretability in Computer Vision.
- 👯 I’m looking to collaborate on any topics of interest (checkout the about section here!).
- 🤔 I’m looking for open research | PhD positions.
- 💬 Ask me about Computer Vision and Machine Learning.
- 📫 How to reach me: Feel free to ping me here!
- 😄 Pronouns: he/him.
- ⚡ Fun fact: If you have reached reading till here, you may connect and find more! :)
- 👽 My other social profiles: LinkedIn | X | Bluesky | ResearchGate | Google Scholar.