News/Updates:

• 1 paper accepted each in ICML 2025, UAI 2025, the Neuro-Symbolic conference 2025 and Frontiers in AI journal.

• 2 papers accepted in ICLR 2025 and 1 paper in the Internation Journal of Approximate Reasoning (IJAR).

• 2 papers accepted in NeurIPS 2024: "DeiSAM: Segment Anything with Deictic Prompting" and "Graph Neural Networks Need Cluster-Normalize-Activate Modules".

• I received the hessian.AI DEPTH Alumnus award. This helps me to travel to Darmstadt to keep advising my PhD students.

• Our paper 'Machine Learning meets Kepler: Inverting Kepler’s Equation for All vs All Conjunction Analysis' is accepted to Machine Learning: Science and Technology (MLST).

• Our paper 'Neuro-Symbolic Predicate Invention: Learning Relational Concepts from Visual Scenes' is accepted to the Neurosymbolic Artificial Intelligence journal.

• 2 papers accepted to UAI.

• Our paper 'Towards Probabilistic Clearance, Explanation and Optimization'  is accepted to the International Conference on Unmanned Aircraft Systems (ICUAS).

• Our paper 'Structural Causal Models Reveal Confounder Bias in Linear Program Modelling'  is accepted to the Asian Conference on Machine Learning (ACML) journal track.

• Our paper 'Scalable Neural-Probabilistic Answer Set Programming' will appear in Journal for Artificial Intelliegnce Research (JAIR).

• Our paper 'Causal Parrots: Large Language Models May Talk Causality But Are Not Causal' will appear in Transactions on Machine Learning Research (TMLR).

• Our paper 'Vision Relation Transformer for Unbiased Scene Graph Generation' will appear in International Conference on Computer Vision (ICCV).

• I am a co-organiser of AAAI 2023 bridge on 'Continual Causality' which aims to bring researchers from continual learning and causality together.

• Our paper 'alphaILP: Thinking Visual Scenes as Differentiable Logic Programs' will appear in Machine Learning Journal and IJCLR 2022.

• Our paper 'Predictive Whittle Networks for Time Series' is accepted to UAI 2022.

• 2 papers on probabilistic logic languages accepted to International Conference on Principles of Knowledge Representation and Reasoning (KR).

• Our paper on training CTGANs in a differentially private way is accepted to Artificial Intelligence in Medicine (AIME) 2022.

• Our team '51 Billion Shades of Carbon' won the Climathon, Darmstadt. It is an yearly hackathon that seeks submissions to combat climate change. 

• Our paper 'Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models' is accepted to NeurIPS 2021.

• Our paper 'A Statistical Relational Approach to Learning Distance-based GCNs' is accepted to Tenth International Workshop on Statistical Relational AI.

• 2 papers accepted to the International Conference on Inductive Logic Programming, ILP2020-21 @ 1st International Joint Conference on Learning & Reasoning (IJCLR).

• Our paper 'Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models' is accepted to the Tractable Probabilistic Modeling (TPM) workshop @UAI.

• Our paper 'Beyond Simple Images: Human Knowledge-Guided GANs for Clinical Data Generation' is accepted to International Conference on Principles of Knowledge Representation and Reasoning (KR).

• I gave a talk on 'Distance based Graph Convolutional Networks' at the Cyberinfrastructure for Network Science Center @ Indiana University Bloomington research symposium.

• Our paper 'Predicting Drug-Drug Interactions from Heterogeneous Data: An Embedding Approach' is accepted to Artificial Intelligence in Medicine (AIME).

• I am the new Electronics Publishing Editor for Journal of Artificial Intelligence Research (JAIR).

• Our paper 'The Curious Case of Stacking Boosted Relational Dependency Networks' is accepted to  I Can't Believe It's Not Better (ICBINB) workshop @NeurIPS as a spotlight presentation.

• Our paper 'Human-Guided Learning of Column Networks: Knowledge Injection for Relational Deep Learning' is accepted to ACM India CODS-COMAD 2021.

• Our paper  'Knowledge Intensive Learning of Generative Adversarial Networks'  received the best paper award at KiML workshop @KDD.

• The paper 'Knowledge Intensive Learning of Generative Adversarial Networks' is accepted to the KiML workshop @KDD.

• I am in the editorial board for 'Frontiers in Artificial Intelligence'.

• I have graduated with a PhD and will be joining TU Darmstdat  as a Postdoc in September 2020.