Devendra Singh Dhami

Identifiers

• name variant Devendra Singh Dhami 0.60 · backfill

Papers (47)

1. The Constitutional Controller: Doubt-Calibrated Steering of Compliant Agents cs.RO · 2025 · author #6
2. Tagged for Direction: Pinning Down Causal Edge Directions with Precision cs.LG · 2025 · author #5
3. Causal Explanations Over Time: Articulated Reasoning for Interactive Environments cs.AI · 2025 · author #3
4. Scaling Probabilistic Circuits via Data Partitioning cs.LG · 2025 · author #4
5. StaR Maps: Unveiling Uncertainty in Geospatial Relations cs.RO · 2024 · author #4
6. The Constitutional Filter: Bayesian Estimation of Compliant Agents cs.RO · 2024 · author #4
7. Answer Set Networks: Casting Answer Set Programming into Deep Learning cs.AI · 2024 · author #5
8. Graph Neural Networks Need Cluster-Normalize-Activate Modules cs.LG · 2024 · author #4
9. Forecasting Company Fundamentals q-fin.ST · 2024 · author #5
10. Systems with Switching Causal Relations: A Meta-Causal Perspective cs.LG · 2024 · author #5
11. BlendRL: A Framework for Merging Symbolic and Neural Policy Learning cs.LG · 2024 · author #3
12. $\chi$SPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid Domains cs.LG · 2024 · author #6
13. Towards Probabilistic Clearance, Explanation and Optimization cs.RO · 2024 · author #3
14. EXPIL: Explanatory Predicate Invention for Learning in Games cs.AI · 2024 · author #5
15. Mission Design for Unmanned Aerial Vehicles using Hybrid Probabilistic Logic Programs cs.RO · 2024 · author #3
16. United We Pretrain, Divided We Fail! Representation Learning for Time Series by Pretraining on 75 Datasets at Once cs.LG · 2024 · author #4
17. DeiSAM: Segment Anything with Deictic Prompting cs.LG · 2024 · author #4
18. Pix2Code: Learning to Compose Neural Visual Concepts as Programs cs.AI · 2024 · author #4
19. Causal Parrots: Large Language Models May Talk Causality But Are Not Causal cs.AI · 2023 · author #3
20. Vision Relation Transformer for Unbiased Scene Graph Generation cs.CV · 2023 · author #2
21. Learning Differentiable Logic Programs for Abstract Visual Reasoning cs.LG · 2023 · author #3
22. Scalable Neural-Probabilistic Answer Set Programming cs.AI · 2023 · author #3
23. V-LoL: A Diagnostic Dataset for Visual Logical Learning cs.AI · 2023 · author #4
24. Pearl Causal Hierarchy on Image Data: Intricacies & Challenges cs.AI · 2022 · author #3
25. Neural Meta-Symbolic Reasoning and Learning cs.AI · 2022 · author #3
26. LogicRank: Logic Induced Reranking for Generative Text-to-Image Systems cs.AI · 2022 · author #4
27. FEATHERS: Federated Architecture and Hyperparameter Search cs.LG · 2022 · author #4
28. Attributions Beyond Neural Networks: The Linear Program Case cs.LG · 2022 · author #4
29. Can Foundation Models Talk Causality? cs.AI · 2022 · author #3
30. Towards a Solution to Bongard Problems: A Causal Approach cs.LG · 2022 · author #3
31. Tearing Apart NOTEARS: Controlling the Graph Prediction via Variance Manipulation cs.LG · 2022 · author #3
32. Machines Explaining Linear Programs cs.LG · 2022 · author #3
33. Finding Structure and Causality in Linear Programs cs.AI · 2022 · author #3
34. The Causal Loss: Driving Correlation to Imply Causation cs.LG · 2021 · author #3
35. A Taxonomy for Inference in Causal Model Families cs.LG · 2021 · author #2
36. Neuro-Symbolic Forward Reasoning cs.AI · 2021 · author #2
37. SLASH: Embracing Probabilistic Circuits into Neural Answer Set Programming cs.AI · 2021 · author #4
38. Causal Explanations of Structural Causal Models cs.LG · 2021 · author #2
39. Sum-Product-Attention Networks: Leveraging Self-Attention in Probabilistic Circuits cs.LG · 2021 · author #2
40. Relating Graph Neural Networks to Structural Causal Models cs.LG · 2021 · author #2
41. Structural Causal Models Reveal Confounder Bias in Linear Program Modelling cs.LG · 2021 · author #2
42. Predicting Drug-Drug Interactions from Heterogeneous Data: An Embedding Approach cs.LG · 2021 · author #1
43. Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models cs.LG · 2021 · author #2
44. Non-Parametric Learning of Gaifman Models cs.LG · 2020 · author #1
45. Beyond Textual Data: Predicting Drug-Drug Interactions from Molecular Structure Images using Siamese Neural Networks cs.LG · 2019 · author #1
46. Knowledge-augmented Column Networks: Guiding Deep Learning with Advice cs.LG · 2019 · author #2
47. Human-Guided Learning of Column Networks: Augmenting Deep Learning with Advice cs.LG · 2019 · author #3

Mentions

• 2507.15478 #6 · arxiv_oai · confidence 0.70 Devendra Singh Dhami
• 2412.18347 #4 · arxiv_oai · confidence 0.70 Devendra Singh Dhami
• 2307.00928 #3 · arxiv_oai · confidence 0.70 Devendra Singh Dhami
• 2506.19459 #5 · arxiv_oai · confidence 0.70 Devendra Singh Dhami
• 2506.03915 #3 · arxiv_oai · confidence 0.70 Devendra Singh Dhami
• 2411.05791 #5 · arxiv_oai · confidence 0.70 Devendra Singh Dhami
• 2410.11689 #3 · arxiv_oai · confidence 0.70 Devendra Singh Dhami
• 2410.13054 #5 · arxiv_oai · confidence 0.70 Devendra Singh Dhami
• 2503.08141 #4 · arxiv_oai · confidence 0.70 Devendra Singh Dhami
• 2412.18356 #4 · arxiv_oai · confidence 0.70 Devendra Singh Dhami
• 2412.14814 #5 · arxiv_oai · confidence 0.70 Devendra Singh Dhami
• 2412.04064 #4 · arxiv_oai · confidence 0.70 Devendra Singh Dhami
• 2402.14123 #4 · arxiv_oai · confidence 0.70 Devendra Singh Dhami
• 2306.07743 #4 · arxiv_oai · confidence 0.70 Devendra Singh Dhami
• 2406.03454 #3 · arxiv_oai · confidence 0.70 Devendra Singh Dhami
• 2408.07545 #6 · arxiv_oai · confidence 0.70 Devendra Singh Dhami
• 2402.08280 #4 · arxiv_oai · confidence 0.70 Devendra Singh Dhami
• 2406.15088 #3 · arxiv_oai · confidence 0.70 Devendra Singh Dhami
• 2406.06107 #5 · arxiv_oai · confidence 0.70 Devendra Singh Dhami
• 2402.15404 #4 · arxiv_oai · confidence 0.70 Devendra Singh Dhami
• 2211.11650 #3 · arxiv_oai · confidence 0.70 Devendra Singh Dhami
• 2105.12697 #2 · arxiv_oai · confidence 0.70 Devendra Singh Dhami
• 2308.13067 #3 · arxiv_oai · confidence 0.70 Devendra Singh Dhami
• 2308.09472 #2 · arxiv_oai · confidence 0.70 Devendra Singh Dhami
• 2306.08397 #3 · arxiv_oai · confidence 0.70 Devendra Singh Dhami
• 2206.12342 #4 · arxiv_oai · confidence 0.70 Devendra Singh Dhami
• 2212.12570 #3 · arxiv_oai · confidence 0.70 Devendra Singh Dhami
• 2110.12052 #2 · arxiv_oai · confidence 0.70 Devendra Singh Dhami
• 2110.02395 #2 · arxiv_oai · confidence 0.70 Devendra Singh Dhami
• 2206.10591 #3 · arxiv_oai · confidence 0.70 Devendra Singh Dhami
• 2206.07196 #3 · arxiv_oai · confidence 0.70 Devendra Singh Dhami
• 2208.13518 #4 · arxiv_oai · confidence 0.70 Devendra Singh Dhami
• 2206.07203 #4 · arxiv_oai · confidence 0.70 Devendra Singh Dhami
• 2206.07195 #3 · arxiv_oai · confidence 0.70 Devendra Singh Dhami
• 2206.07194 #3 · arxiv_oai · confidence 0.70 Devendra Singh Dhami
• 2203.15274 #3 · arxiv_oai · confidence 0.70 Devendra Singh Dhami
• 2110.03395 #4 · arxiv_oai · confidence 0.70 Devendra Singh Dhami
• 2102.10440 #2 · arxiv_oai · confidence 0.70 Devendra Singh Dhami
• 2110.12066 #3 · arxiv_oai · confidence 0.70 Devendra Singh Dhami
• 2109.04173 #2 · arxiv_oai · confidence 0.70 Devendra Singh Dhami
• 2110.09383 #2 · arxiv_oai · confidence 0.70 Devendra Singh Dhami
• 2109.06587 #2 · arxiv_oai · confidence 0.70 Devendra Singh Dhami
• 2103.10916 #1 · arxiv_oai · confidence 0.70 Devendra Singh Dhami
• 1911.06356 #1 · arxiv_oai · confidence 0.70 Devendra Singh Dhami
• 2001.00528 #1 · arxiv_oai · confidence 0.70 Devendra Singh Dhami
• 1906.01432 #2 · arxiv_oai · confidence 0.70 Devendra Singh Dhami
• 1904.06950 #3 · arxiv_oai · confidence 0.70 Devendra Singh Dhami

Frequent Coauthors

• Kristian Kersting 42 shared papers
• Matej Ze\v{c}evi\'c 16 shared papers
• Hikaru Shindo 8 shared papers
• Moritz Willig 7 shared papers
• Simon Kohaut 6 shared papers
• Sriraam Natarajan 6 shared papers
• Benedict Flade 5 shared papers
• Felix Divo 5 shared papers
• Florian Peter Busch 5 shared papers
• Gautam Kunapuli 5 shared papers
• Julian Eggert 5 shared papers
• Arseny Skryagin 4 shared papers
• Jonas Seng 4 shared papers
• Daniel Ochs 3 shared papers
• Quentin Delfosse 3 shared papers
• Siwen Yan 3 shared papers
• Wolfgang Stammer 3 shared papers
• David Page 2 shared papers
• David Steinmann 2 shared papers
• Gopika Sudhakaran 2 shared papers