Devendra Singh Dhami
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
26
Venues
13
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
26 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | BlendRL: A Framework for Merging Symbolic and Neural Policy Learning. | Hikaru Shindo, Quentin Delfosse, Devendra Singh Dhami, Kristian Kersting |
| 2025 | ICLR | Systems with Switching Causal Relations: A Meta-Causal Perspective. | Moritz Willig, Tim Nelson Tobiasch, Florian Peter Busch, Jonas Seng, Devendra Singh Dhami, Kristian Kersting |
| 2025 | ICML | Bongard in Wonderland: Visual Puzzles that Still Make AI Go Mad? | Antonia Wst, Tim Nelson Tobiasch, Lukas Helff, Inga Ibs, Wolfgang Stammer, Devendra Singh Dhami, Constantin A. Rothkopf, Kristian Kersting |
| 2025 | IROS | The Constitutional Filter: Bayesian Estimation of Compliant Agents. | Simon Kohaut, Felix Divo, Benedict Flade, Devendra Singh Dhami, Julian Eggert, Kristian Kersting |
| 2025 | NeSy | Gestalt Vision: A Dataset for Evaluating Gestalt Principles in Visual Perception. | Jingyuan Sha, Hikaru Shindo, Kristian Kersting, Devendra Singh Dhami |
| 2025 | PRICAI | Industrial-Scale Autonomous eXplainable Iterative Learning. | Nika Strem, Devendra Singh Dhami, Kristian Kersting |
| 2025 | UAI | Scaling Probabilistic Circuits via Data Partitioning. | Jonas Seng, Florian Peter Busch, Pooja Prasad, Devendra Singh Dhami, Martin Mundt, Kristian Kersting |
| 2024 | ICLR | Learning Large DAGs is Harder than you Think: Many Losses are Minimal for the Wrong DAG. | Jonas Seng, Matej Zecevic, Devendra Singh Dhami, Kristian Kersting |
| 2024 | UAI | χSPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid Domains. | Harsh Poonia, Moritz Willig, Zhongjie Yu, Matej Zecevic, Kristian Kersting, Devendra Singh Dhami |
| 2024 | UAI | Pix2Code: Learning to Compose Neural Visual Concepts as Programs. | Antonia Wst, Wolfgang Stammer, Quentin Delfosse, Devendra Singh Dhami, Kristian Kersting |
| 2023 | AAAI | Continual Causality: A Retrospective of the Inaugural AAAI-23 Bridge Program. | Martin Mundt, Keiland W. Cooper, Devendra Singh Dhami, Adle H. Ribeiro, James Seale Smith, Alexis Bellot, Tyler L. Hayes |
| 2023 | ICCV | Vision Relation Transformer for Unbiased Scene Graph Generation. | Gopika Sudhakaran, Devendra Singh Dhami, Kristian Kersting, Stefan Roth |
| 2023 | NeSy | Neural-Symbolic Predicate Invention: Learning Relational Concepts from Visual Scenes. | Jingyuan Sha, Hikaru Shindo, Kristian Kersting, Devendra Singh Dhami |
| 2022 | AIME | DP-CTGAN: Differentially Private Medical Data Generation Using CTGANs. | Mei Ling Fang, Devendra Singh Dhami, Kristian Kersting |
| 2022 | KR | Sum-Product Loop Programming: From Probabilistic Circuits to Loop Programming. | Viktor Pfanschilling, Hikaru Shindo, Devendra Singh Dhami, Kristian Kersting |
| 2022 | KR | Neural-Probabilistic Answer Set Programming. | Arseny Skryagin, Wolfgang Stammer, Daniel Ochs, Devendra Singh Dhami, Kristian Kersting |
| 2022 | UAI | Predictive Whittle networks for time series. | Zhongjie Yu, Fabrizio Ventola, Nils Thoma, Devendra Singh Dhami, Martin Mundt, Kristian Kersting |
| 2021 | AIME | Predicting Drug-Drug Interactions from Heterogeneous Data: An Embedding Approach. | Devendra Singh Dhami, Siwen Yan, Gautam Kunapuli, David Page, Sriraam Natarajan |
| 2021 | COMAD | Human-Guided Learning of Column Networks: Knowledge Injection for Relational Deep Learning. | Mayukh Das, Devendra Singh Dhami, Yang Yu, Gautam Kunapuli, Sriraam Natarajan |
| 2021 | ILP | Non-parametric Learning of Embeddings for Relational Data Using Gaifman Locality Theorem. | Devendra Singh Dhami, Siwen Yan, Gautam Kunapuli, Sriraam Natarajan |
| 2021 | ILP | Generative Clausal Networks: Relational Decision Trees as Probabilistic Circuits. | Fabrizio Ventola, Devendra Singh Dhami, Kristian Kersting |
| 2021 | KR | Beyond Simple Images: Human Knowledge-Guided GANs for Clinical Data Generation. | Devendra Singh Dhami, Mayukh Das, Sriraam Natarajan |
| 2020 | KDD | Knowledge Intensive Learning of Generative Adversarial Networks. | Devendra Singh Dhami, Mayukh Das, Sriraam Natarajan |
| 2019 | AAAI | Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs. | Mayukh Das, Devendra Singh Dhami, Gautam Kunapuli, Kristian Kersting, Sriraam Natarajan |
| 2017 | AAAI | Knowledge-Based Morphological Classification of Galaxies from Vision Features. | Devendra Singh Dhami, David Leake, Sriraam Natarajan |
| 2017 | AIME | Identifying Parkinson's Patients: A Functional Gradient Boosting Approach. | Devendra Singh Dhami, Ameet Soni, David Page, Sriraam Natarajan |