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ORCIDDevendra Singh Dhami
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2020 – today
- 2022
[c15]Mei Ling Fang, Devendra Singh Dhami, Kristian Kersting:
DP-CTGAN: Differentially Private Medical Data Generation Using CTGANs. AIME 2022: 178-188- [c14]Viktor Pfanschilling, Hikaru Shindo, Devendra Singh Dhami, Kristian Kersting:
Sum-Product Loop Programming: From Probabilistic Circuits to Loop Programming. KR 2022 - [c13]Arseny Skryagin, Wolfgang Stammer, Daniel Ochs, Devendra Singh Dhami, Kristian Kersting:
Neural-Probabilistic Answer Set Programming. KR 2022 - [c12]Zhongjie Yu, Fabrizio Ventola, Nils Thoma, Devendra Singh Dhami, Martin Mundt, Kristian Kersting:
Predictive Whittle networks for time series. UAI 2022: 2320-2330 - [i25]Matej Zecevic, Florian Peter Busch, Devendra Singh Dhami, Kristian Kersting:
Finding Structure and Causality in Linear Programs. CoRR abs/2203.15274 (2022) - [i24]David Steinmann, Matej Zecevic, Devendra Singh Dhami, Kristian Kersting:
Machines Explaining Linear Programs. CoRR abs/2206.07194 (2022) - [i23]Jonas Seng, Matej Zecevic, Devendra Singh Dhami, Kristian Kersting:
Tearing Apart NOTEARS: Controlling the Graph Prediction via Variance Manipulation. CoRR abs/2206.07195 (2022) - [i22]Salahedine Youssef, Matej Zecevic, Devendra Singh Dhami, Kristian Kersting:
Towards a Solution to Bongard Problems: A Causal Approach. CoRR abs/2206.07196 (2022) - [i21]Florian Peter Busch, Matej Zecevic, Kristian Kersting, Devendra Singh Dhami:
Attributions Beyond Neural Networks: The Linear Program Case. CoRR abs/2206.07203 (2022) - [i20]Moritz Willig, Matej Zecevic, Devendra Singh Dhami, Kristian Kersting:
Can Foundation Models Talk Causality? CoRR abs/2206.10591 (2022) - [i19]Jonas Seng, Pooja Prasad, Devendra Singh Dhami, Kristian Kersting:
HANF: Hyperparameter And Neural Architecture Search in Federated Learning. CoRR abs/2206.12342 (2022) - [i18]Björn Deiseroth, Patrick Schramowski, Hikaru Shindo, Devendra Singh Dhami, Kristian Kersting:
LogicRank: Logic Induced Reranking for Generative Text-to-Image Systems. CoRR abs/2208.13518 (2022) - [i17]Zihan Ye, Hikaru Shindo, Devendra Singh Dhami, Kristian Kersting:
Differentiable Meta logical Programming. CoRR abs/2211.11650 (2022) - [i16]Matej Zecevic, Moritz Willig, Devendra Singh Dhami, Kristian Kersting:
Pearl Causal Hierarchy on Image Data: Intricacies & Challenges. CoRR abs/2212.12570 (2022) - 2021
- [c11]Devendra Singh Dhami, Siwen Yan, Gautam Kunapuli, David Page, Sriraam Natarajan:
Predicting Drug-Drug Interactions from Heterogeneous Data: An Embedding Approach. AIME 2021: 252-257 - [c10]Mayukh Das, Devendra Singh Dhami, Yang Yu, Gautam Kunapuli, Sriraam Natarajan:
Human-Guided Learning of Column Networks: Knowledge Injection for Relational Deep Learning. COMAD/CODS 2021: 110-118 - [c9]Devendra Singh Dhami, Siwen Yan, Gautam Kunapuli, Sriraam Natarajan:
Non-parametric Learning of Embeddings for Relational Data Using Gaifman Locality Theorem. ILP 2021: 95-110 - [c8]Fabrizio Ventola, Devendra Singh Dhami, Kristian Kersting:
Generative Clausal Networks: Relational Decision Trees as Probabilistic Circuits. ILP 2021: 251-265 - [c7]Devendra Singh Dhami, Mayukh Das, Sriraam Natarajan:
Beyond Simple Images: Human Knowledge-Guided GANs for Clinical Data Generation. KR 2021: 247-257 - [c6]Matej Zecevic, Devendra Singh Dhami, Athresh Karanam, Sriraam Natarajan, Kristian Kersting:
Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models. NeurIPS 2021: 15019-15031 - [i15]Devendra Singh Dhami, Siwen Yan, Sriraam Natarajan:
Bridging Graph Neural Networks and Statistical Relational Learning: Relational One-Class GCN. CoRR abs/2102.07007 (2021) - [i14]Matej Zecevic, Devendra Singh Dhami, Athresh Karanam, Sriraam Natarajan, Kristian Kersting:
Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models. CoRR abs/2102.10440 (2021) - [i13]Devendra Singh Dhami, Siwen Yan, Gautam Kunapuli, David Page, Sriraam Natarajan:
Predicting Drug-Drug Interactions from Heterogeneous Data: An Embedding Approach. CoRR abs/2103.10916 (2021) - [i12]Matej Zecevic, Devendra Singh Dhami, Kristian Kersting:
Intriguing Parameters of Structural Causal Models. CoRR abs/2105.12697 (2021) - [i11]Matej Zecevic, Devendra Singh Dhami, Petar Velickovic, Kristian Kersting:
Relating Graph Neural Networks to Structural Causal Models. CoRR abs/2109.04173 (2021) - [i10]Zhongjie Yu, Devendra Singh Dhami, Kristian Kersting:
Sum-Product-Attention Networks: Leveraging Self-Attention in Probabilistic Circuits. CoRR abs/2109.06587 (2021) - [i9]Matej Zecevic, Devendra Singh Dhami, Constantin A. Rothkopf, Kristian Kersting:
Structural Causal Interpretation Theorem. CoRR abs/2110.02395 (2021) - [i8]Arseny Skryagin, Wolfgang Stammer, Daniel Ochs, Devendra Singh Dhami, Kristian Kersting:
SLASH: Embracing Probabilistic Circuits into Neural Answer Set Programming. CoRR abs/2110.03395 (2021) - [i7]Hikaru Shindo, Devendra Singh Dhami, Kristian Kersting:
Neuro-Symbolic Forward Reasoning. CoRR abs/2110.09383 (2021) - [i6]Matej Zecevic, Devendra Singh Dhami, Kristian Kersting:
On the Tractability of Neural Causal Inference. CoRR abs/2110.12052 (2021) - [i5]Moritz Willig, Matej Zecevic, Devendra Singh Dhami, Kristian Kersting:
The Causal Loss: Driving Correlation to Imply Causation. CoRR abs/2110.12066 (2021) - 2020
- [c5]Siwen Yan, Devendra Singh Dhami, Sriraam Natarajan:
The Curious Case of Stacking Boosted Relational Dependency Networks. ICBINB@NeurIPS 2020: 33-42 - [c4]Devendra Singh Dhami, Mayukh Das, Sriraam Natarajan:
Knowledge Intensive Learning of Generative Adversarial Networks. KiML@KDD 2020: 10-16 - [i4]Devendra Singh Dhami, Siwen Yan, Gautam Kunapuli, Sriraam Natarajan:
Non-Parametric Learning of Gaifman Models. CoRR abs/2001.00528 (2020)
2010 – 2019
- 2019
- [c3]Mayukh Das, Devendra Singh Dhami, Gautam Kunapuli, Kristian Kersting, Sriraam Natarajan:
Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs. AAAI 2019: 7816-7824 - [i3]Mayukh Das, Yang Yu, Devendra Singh Dhami, Gautam Kunapuli, Sriraam Natarajan:
Human-Guided Learning of Column Networks: Augmenting Deep Learning with Advice. CoRR abs/1904.06950 (2019) - [i2]Mayukh Das, Devendra Singh Dhami, Yang Yu, Gautam Kunapuli, Sriraam Natarajan:
Knowledge-augmented Column Networks: Guiding Deep Learning with Advice. CoRR abs/1906.01432 (2019) - [i1]Devendra Singh Dhami, Gautam Kunapuli, David Page, Sriraam Natarajan:
Predicting Drug-Drug Interactions from Molecular Structure Images. CoRR abs/1911.06356 (2019) - 2017
- [c2]Devendra Singh Dhami, David Leake, Sriraam Natarajan:
Knowledge-Based Morphological Classification of Galaxies from Vision Features. AAAI Workshops 2017 - [c1]Devendra Singh Dhami, Ameet Soni, David Page, Sriraam Natarajan:
Identifying Parkinson's Patients: A Functional Gradient Boosting Approach. AIME 2017: 332-337
Coauthor Index
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last updated on 2023-03-12 02:39 CET by the dblp team
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