I'm an AI Research Engineer at CISPA's startup Detesia 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 a 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:

• 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.
• 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".
• Joined as an AI Research Engineer at CISPA's startup Detesia specializing in Machine Learning Explainability for Deep Fake Detection.
• [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).
• Attending International Conference on Computer Vision, 2023 (ICCV23) in Paris as a student volunteer; hit me up if you're also there! :)
• Check out my first attempt to generate new Pokemons using Deep Generative Diffusion Models here.
• Joined as a research assistant at Max Planck Institute for Informatics (MPI-INF) in the Computer Vision and Machine Learning group (D2).
• Hacktoberfest 2022 is back! Register and pull requests to the repository here. Happy Hacking! :)
• 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.
• Yet another successful Hacktoberfest 2021; checkout this years's repository here. Happy Hacking! :)
• [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.
• [Link] Accepted paper: "Revealing the Blackmarket Retweet Game: A Hybrid Approach", Shreyash Arya and Hridoy Sankar Dutta. CONSTRAINT Workshop @ AAAI, 2021.
• 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.
• It was a real successful Hacktoberfest 2020 with 74 pull requests, 30 forks and 11 stars; checkout this years's repository here. Happy Hacking! :)
• 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).
• 🌱 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 | Twitter | ResearchGate | Google Scholar.