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Devendra Singh Dhami

18 papers · 2019–2026 · 9 venues · across top CS/AI venues

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Achievements

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+9 more ↓ πŸ—ΊοΈ Taxonomy Completionist (40) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Silver πŸ† Grand Slam
🀝 Dynamic Duo (16) 🧬 Topic Evolution πŸ—ƒοΈ Keyword Collector (84) πŸ”₯ Unstoppable Β· Bronze ❓ The Questioner ⚑ Prolific Year Β· Productive πŸš€ Conference Pioneer 🌈 Renaissance Researcher (7) πŸ’Ž Century Club Β· Bronze

Venues

UAI (6) ICLR (3) CLeaR (2) NeurIPS (2) AAAI (1) CVPR (1) ICCV (1) ICML (1) PGM (1)

Top co-authors

Kristian Kersting (16) Hikaru Shindo (4) Jonas Seng (4) Antonia WΓΌst (3) Moritz Willig (3) Wolfgang Stammer (3) Florian Peter Busch (3) Gopika Sudhakaran (2) Lukas Helff (2) Tim Tobiasch (2)

Research topics

Artificial Intelligence (15) Core AI (12) Machine Learning (10) Knowledge & Reasoning (4) Bayesian & Probabilistic Β· Artificial Intelligence (4) Bayesian & Probabilistic Β· Machine Learning (4) Reasoning (4) Deep Learning (3) Core Methods (3) Optimization & Theory (3) Computer Vision (2) Mathematics & Optimization (2) Architectures (2) Learning Paradigms (2) Learning Types (2)

Keywords

causal inference (3) probabilistic circuit (3) vision-language model (2) sum-product network (2) visual reasoning (2) logical reasoning (2) program synthesis (2) large language model (2) image segmentation (1) structure learning (1) zero-shot learning (1) causal discovery (1) uncertainty quantification (1) density estimation (1) scene understanding (1) reinforcement learning (1) model architecture (1) feature learning (1) scene graph generation (1) distributed learning (1)

Papers

Birds of a Feather Reason Together: Gestalt Grouping Meets Neuro-Symbolic Inference UAI 2026 Causal Articulation Theory (CAT): Articulating Static and Temporal Causal Models Beyond LLM Rationalizations CLeaR 2026 One Model to Rule Them All: Canonically Gluing Causal Models Along Shared Substructures UAI 2026 Synthesizing Visual Concepts as Vision-Language Programs CVPR 2026 Unveiling Causal Calibration: How LLM Scale Influences Statistical Information Interpolation CLeaR 2026 BlendRL: A Framework for Merging Symbolic and Neural Policy Learning ICLR 2025 Bongard in Wonderland: Visual Puzzles that Still Make AI Go Mad? ICML 2025 Scaling Probabilistic Circuits via Data Partitioning UAI 2025 Systems with Switching Causal Relations: A Meta-Causal Perspective ICLR 2025 $Ο‡$SPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid Domains UAI 2024 $Ξ¨$net: Efficient Causal Modeling at Scale PGM 2024 DeiSAM: Segment Anything with Deictic Prompting NeurIPS 2024 Graph Neural Networks Need Cluster-Normalize-Activate Modules NeurIPS 2024 Learning Large DAGs is Harder than you Think: Many Losses are Minimal for the Wrong DAG ICLR 2024 Pix2Code: Learning to Compose Neural Visual Concepts as Programs UAI 2024 Vision Relation Transformer for Unbiased Scene Graph Generation ICCV 2023 Predictive Whittle networks for time series UAI 2022 Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs AAAI 2019