Devendra Singh Dhami

120 papers A* 14A 5B 5C 2Journal 80Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
No More Maybe-Arrows: Resolving Causal Uncertainty by Breaking Symmetries.
CoRR
Tingrui Huang, Devendra Singh Dhami
2026 J jnl
Reactive Knowledge Representation and Asynchronous Reasoning.
CoRR
Simon Kohaut, Benedict Flade, Julian Eggert, Kristian Kersting, Devendra Singh Dhami
2026 J jnl
Right in Time: Reactive Reasoning in Regulated Traffic Spaces.
CoRR
Simon Kohaut, Benedict Flade, Julian Eggert, Kristian Kersting, Devendra Singh Dhami
2025 J jnl
APT: Alarm Prediction Transformer.
Expert Syst. Appl.
Nika Strem, Devendra Singh Dhami, Benedikt Schmidt, Benjamin Klöpper, Kristian Kersting
2025 A* conf
BlendRL: A Framework for Merging Symbolic and Neural Policy Learning.
ICLR
Hikaru Shindo, Quentin Delfosse, Devendra Singh Dhami, Kristian Kersting
2025 A* conf
Bongard in Wonderland: Visual Puzzles that Still Make AI Go Mad?
ICML
Antonia Wüst, Tim Nelson Tobiasch, Lukas Helff, Inga Ibs, Wolfgang Stammer, Devendra Singh Dhami, Constantin A. Rothkopf, Kristian Kersting
2025 J jnl
Causal Abstractions, Categorically Unified.
CoRR
Markus Englberger, Devendra Singh Dhami
2025 J jnl
Causal Explanations Over Time: Articulated Reasoning for Interactive Environments.
CoRR
Sebastian Rödling, Matej Zecevic, Devendra Singh Dhami, Kristian Kersting
2025 J jnl
CycliST: A Video Language Model Benchmark for Reasoning on Cyclical State Transitions.
CoRR
Simon Kohaut, Daniel Ochs, Shun Zhang, Benedict Flade, Julian Eggert, Kristian Kersting, Devendra Singh Dhami
2025 J jnl
Elucidating linear programs by neural encodings.
Frontiers Artif. Intell.
Florian Peter Busch, Matej Zecevic, Kristian Kersting, Devendra Singh Dhami
2025 J jnl
Exploring Neural Granger Causality with xLSTMs: Unveiling Temporal Dependencies in Complex Data.
CoRR
Harsh Poonia, Felix Divo, Kristian Kersting, Devendra Singh Dhami
2025 J jnl
Forecasting Company Fundamentals.
Trans. Mach. Learn. Res.
Felix Divo, Eric Endress, Kevin Endler, Kristian Kersting, Devendra Singh Dhami
2025 C conf
Gestalt Vision: A Dataset for Evaluating Gestalt Principles in Visual Perception.
NeSy
Jingyuan Sha, Hikaru Shindo, Kristian Kersting, Devendra Singh Dhami
2025 — conf
Industrial-Scale Autonomous eXplainable Iterative Learning.
PRICAI (4)
Nika Strem, Devendra Singh Dhami, Kristian Kersting
2025 J jnl
KnowRL: Teaching Language Models to Know What They Know.
CoRR
Sahil Kale, Devendra Singh Dhami
2025 J jnl
Multimodal transformer for early alarm prediction.
Eng. Appl. Artif. Intell.
Nika Strem, Devendra Singh Dhami, Benedikt Schmidt, Kristian Kersting
2025 J jnl
NeST: The neuro-symbolic transpiler.
Int. J. Approx. Reason.
Viktor Pfanschilling, Hikaru Shindo, Devendra Singh Dhami, Kristian Kersting
2025 J jnl
Probabilistic Mission Design for Neuro-Symbolic Unmanned Aircraft Systems.
IEEE Trans. Intell. Transp. Syst.
Simon Kohaut, Benedict Flade, Daniel Ochs, Devendra Singh Dhami, Julian Eggert, Kristian Kersting
2025 J jnl
Probabilistic Mission Design in Neuro-Symbolic Systems.
CoRR
Simon Kohaut, Benedict Flade, Daniel Ochs, Devendra Singh Dhami, Julian Eggert, Kristian Kersting
2025 J jnl
QuAnTS: Question Answering on Time Series.
CoRR
Felix Divo, Maurice Kraus, Anh Q. Nguyen, Hao Xue, Imran Razzak, Flora D. Salim, Kristian Kersting, Devendra Singh Dhami
2025 — conf
Representing Multi-Relational Data via Statistical Relational Learning and Graph Convolutional Networks.
CODS
Devendra Singh Dhami, Saurabh Mathur, Siwen Yan, Sriraam Natarajan
2025 A conf
Scaling Probabilistic Circuits via Data Partitioning.
UAI
Jonas Seng, Florian Peter Busch, Pooja Prasad, Devendra Singh Dhami, Martin Mundt, Kristian Kersting
2025 J jnl
Scaling Probabilistic Circuits via Data Partitioning.
CoRR
Jonas Seng, Florian Peter Busch, Pooja Prasad, Devendra Singh Dhami, Martin Mundt, Kristian Kersting
2025 J jnl
Structural Causal Circuits: Probabilistic Circuits Climbing All Rungs of Pearl's Ladder of Causation.
Trans. Mach. Learn. Res.
Florian Peter Busch, Moritz Willig, Matej Zecevic, Kristian Kersting, Devendra Singh Dhami
2025 J jnl
Synthesizing Visual Concepts as Vision-Language Programs.
CoRR
Antonia Wüst, Wolfgang Stammer, Hikaru Shindo, Lukas Helff, Devendra Singh Dhami, Kristian Kersting
2025 A* conf
Systems with Switching Causal Relations: A Meta-Causal Perspective.
ICLR
Moritz Willig, Tim Nelson Tobiasch, Florian Peter Busch, Jonas Seng, Devendra Singh Dhami, Kristian Kersting
2025 J jnl
Tagged for Direction: Pinning Down Causal Edge Directions with Precision.
CoRR
Florian Peter Busch, Moritz Willig, Florian Guldan, Kristian Kersting, Devendra Singh Dhami
2025 J jnl
The Constitutional Controller: Doubt-Calibrated Steering of Compliant Agents.
CoRR
Simon Kohaut, Felix Divo, Navid Hamid, Benedict Flade, Julian Eggert, Devendra Singh Dhami, Kristian Kersting
2025 A conf
The Constitutional Filter: Bayesian Estimation of Compliant Agents.
IROS
Simon Kohaut, Felix Divo, Benedict Flade, Devendra Singh Dhami, Julian Eggert, Kristian Kersting
2025 J jnl
V-LoL: A Diagnostic Dataset for Visual Logical Learning.
J. Data-centric Mach. Learn. Res.
Lukas Helff, Wolfgang Stammer, Hikaru Shindo, Devendra Singh Dhami, Kristian Kersting
2024 — ed.
AAAI Bridge Program on Continual Causality, 20-21 February 2024, Vancouver, Canada.
AAAI Bridge Program
Martin Mundt, Keiland W. Cooper, Devendra Singh Dhami, Tyler L. Hayes, Rebecca Herman, Adéle Ribeiro, James Seale Smith
2024 J jnl
Answer Set Networks: Casting Answer Set Programming into Deep Learning.
CoRR
Arseny Skryagin, Daniel Ochs, Phillip Deibert, Simon Kohaut, Devendra Singh Dhami, Kristian Kersting
2024 — conf
Benchmarking in Neuro-Symbolic AI.
IJCLR
Robin Manhaeve, Francesco Giannini, Mehdi Ali, Damiano Azzolini, Alice Bizzarri, Andrea Borghesi, Samuele Bortolotti, Luc De Raedt, Devendra Singh Dhami, Michelangelo Diligenti, Sebastijan Dumancic, Boi Faltings, Elisabetta Gentili, Alfonso Gerevini, Marco Gori, Tias Guns, Martin Homola, Kristian Kersting, Jens Lehmann, Michele Lombardi, Luca Salvatore Lorello, Emanuele Marconato, Stefano Melacci, Andrea Passerini, Debjit Paul, Fabrizio Riguzzi, Stefano Teso, Neil Yorke-Smith, Marco Lippi
2024 J jnl
BlendRL: A Framework for Merging Symbolic and Neural Policy Learning.
CoRR
Hikaru Shindo, Quentin Delfosse, Devendra Singh Dhami, Kristian Kersting
2024 J jnl
Bongard in Wonderland: Visual Puzzles that Still Make AI Go Mad?
CoRR
Antonia Wüst, Tim Woydt, Lukas Helff, Devendra Singh Dhami, Constantin A. Rothkopf, Kristian Kersting
2024 A* conf
DeiSAM: Segment Anything with Deictic Prompting.
NeurIPS
Hikaru Shindo, Manuel Brack, Gopika Sudhakaran, Devendra Singh Dhami, Patrick Schramowski, Kristian Kersting
2024 J jnl
DeiSAM: Segment Anything with Deictic Prompting.
CoRR
Hikaru Shindo, Manuel Brack, Gopika Sudhakaran, Devendra Singh Dhami, Patrick Schramowski, Kristian Kersting
2024 J jnl
EXPIL: Explanatory Predicate Invention for Learning in Games.
CoRR
Jingyuan Sha, Hikaru Shindo, Quentin Delfosse, Kristian Kersting, Devendra Singh Dhami
2024 J jnl
Effective Risk Detection for Natural Gas Pipelines Using Low-Resolution Satellite Images.
Remote. Sens.
Daniel Ochs, Karsten Wiertz, Sebastian Bußmann, Kristian Kersting, Devendra Singh Dhami
2024 J jnl
Forecasting Company Fundamentals.
CoRR
Felix Divo, Eric Endress, Kevin Endler, Kristian Kersting, Devendra Singh Dhami
2024 J jnl
Graph Embedding Techniques for Predicting Missing Links in Biological Networks: An Empirical Evaluation.
IEEE Trans. Emerg. Top. Comput.
Binon Teji, Swarup Roy, Devendra Singh Dhami, Dinabandhu Bhandari, Pietro Hiram Guzzi
2024 A* conf
Graph Neural Networks Need Cluster-Normalize-Activate Modules.
NeurIPS
Arseny Skryagin, Felix Divo, Mohammad Amin Ali, Devendra Singh Dhami, Kristian Kersting
2024 J jnl
Graph Neural Networks Need Cluster-Normalize-Activate Modules.
CoRR
Arseny Skryagin, Felix Divo, Mohammad Amin Ali, Devendra Singh Dhami, Kristian Kersting
2024 J jnl
Hybrid Many-Objective Optimization in Probabilistic Mission Design for Compliant and Effective UAV Routing.
CoRR
Simon Kohaut, Nikolas Hohmann, Sebastian Brulin, Benedict Flade, Julian Eggert, Markus Olhofer, Jürgen Adamy, Devendra Singh Dhami, Kristian Kersting
2024 A* conf
Learning Large DAGs is Harder than you Think: Many Losses are Minimal for the Wrong DAG.
ICLR
Jonas Seng, Matej Zecevic, Devendra Singh Dhami, Kristian Kersting
2024 J jnl
Learning differentiable logic programs for abstract visual reasoning.
Mach. Learn.
Hikaru Shindo, Viktor Pfanschilling, Devendra Singh Dhami, Kristian Kersting
2024 J jnl
Machine learning meets Kepler: inverting Kepler's equation for All vs All conjunction analysis.
Mach. Learn. Sci. Technol.
Kevin Otto, Simon Burgis, Kristian Kersting, Reinhold Bertrand, Devendra Singh Dhami
2024 J jnl
Mission Design for Unmanned Aerial Vehicles using Hybrid Probabilistic Logic Program.
CoRR
Simon Kohaut, Benedict Flade, Devendra Singh Dhami, Julian Eggert, Kristian Kersting
2024 A conf
Pix2Code: Learning to Compose Neural Visual Concepts as Programs.
UAI
Antonia Wüst, Wolfgang Stammer, Quentin Delfosse, Devendra Singh Dhami, Kristian Kersting
2024 J jnl
Pix2Code: Learning to Compose Neural Visual Concepts as Programs.
CoRR
Antonia Wüst, Wolfgang Stammer, Quentin Delfosse, Devendra Singh Dhami, Kristian Kersting
2024 — conf
StaR Maps: Unveiling Uncertainty in Geospatial Relations.
ITSC
Benedict Flade, Simon Kohaut, Julian Eggert, Devendra Singh Dhami, Kristian Kersting
2024 J jnl
StaR Maps: Unveiling Uncertainty in Geospatial Relations.
CoRR
Simon Kohaut, Benedict Flade, Julian Eggert, Devendra Singh Dhami, Kristian Kersting
2024 J jnl
Structural causal models reveal confounder bias in linear program modelling.
Mach. Learn.
Matej Zecevic, Devendra Singh Dhami, Kristian Kersting
2024 J jnl
Systems with Switching Causal Relations: A Meta-Causal Perspective.
CoRR
Moritz Willig, Tim Nelson Tobiasch, Florian Peter Busch, Jonas Seng, Devendra Singh Dhami, Kristian Kersting
2024 J jnl
The Constitutional Filter.
CoRR
Simon Kohaut, Felix Divo, Benedict Flade, Devendra Singh Dhami, Julian Eggert, Kristian Kersting
2024 J jnl
Towards Probabilistic Clearance, Explanation and Optimization.
CoRR
Simon Kohaut, Benedict Flade, Devendra Singh Dhami, Julian Eggert, Kristian Kersting
2024 J jnl
United We Pretrain, Divided We Fail! Representation Learning for Time Series by Pretraining on 75 Datasets at Once.
CoRR
Maurice Kraus, Felix Divo, David Steinmann, Devendra Singh Dhami, Kristian Kersting
2024 J jnl
xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories.
CoRR
Maurice Kraus, Felix Divo, Devendra Singh Dhami, Kristian Kersting
2024 — conf
Ψnet: Efficient Causal Modeling at Scale.
PGM
Florian Peter Busch, Moritz Willig, Jonas Seng, Kristian Kersting, Devendra Singh Dhami
2024 A conf
χSPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid Domains.
UAI
Harsh Poonia, Moritz Willig, Zhongjie Yu, Matej Zecevic, Kristian Kersting, Devendra Singh Dhami
2024 J jnl
χSPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid Domains.
CoRR
Harsh Poonia, Moritz Willig, Zhongjie Yu, Matej Zecevic, Kristian Kersting, Devendra Singh Dhami
2023 — ed.
AAAI Bridge Program on Continual Causality, 7-8 February 2023, Washington, DC, USA
AAAI Bridge Program
Martin Mundt, Keiland W. Cooper, Devendra Singh Dhami, Adèle H. Ribeiro, James Seale Smith, Alexis Bellot, Tyler L. Hayes
2023 J jnl
Causal Parrots: Large Language Models May Talk Causality But Are Not Causal.
CoRR
Matej Zecevic, Moritz Willig, Devendra Singh Dhami, Kristian Kersting
2023 J jnl
Causal Parrots: Large Language Models May Talk Causality But Are Not Causal.
Trans. Mach. Learn. Res.
Matej Zecevic, Moritz Willig, Devendra Singh Dhami, Kristian Kersting
2023 — conf
Continual Causality: A Retrospective of the Inaugural AAAI-23 Bridge Program.
AAAI Bridge Program
Martin Mundt, Keiland W. Cooper, Devendra Singh Dhami, Adèle H. Ribeiro, James Seale Smith, Alexis Bellot, Tyler L. Hayes
2023 A* conf
Do Not Marginalize Mechanisms, Rather Consolidate!
NeurIPS
Moritz Willig, Matej Zecevic, Devendra Singh Dhami, Kristian Kersting
2023 J jnl
Do Not Marginalize Mechanisms, Rather Consolidate!
CoRR
Moritz Willig, Matej Zecevic, Devendra Singh Dhami, Kristian Kersting
2023 A* conf
Interpretable and Explainable Logical Policies via Neurally Guided Symbolic Abstraction.
NeurIPS
Quentin Delfosse, Hikaru Shindo, Devendra Singh Dhami, Kristian Kersting
2023 J jnl
Interpretable and Explainable Logical Policies via Neurally Guided Symbolic Abstraction.
CoRR
Quentin Delfosse, Hikaru Shindo, Devendra Singh Dhami, Kristian Kersting
2023 J jnl
Learning Differentiable Logic Programs for Abstract Visual Reasoning.
CoRR
Hikaru Shindo, Viktor Pfanschilling, Devendra Singh Dhami, Kristian Kersting
2023 — conf
Mission Design for Unmanned Aerial Vehicles using Hybrid Probabilistic Logic Programs.
ITSC
Simon Kohaut, Benedict Flade, Devendra Singh Dhami, Julian Eggert, Kristian Kersting
2023 C conf
Neural-Symbolic Predicate Invention: Learning Relational Concepts from Visual Scenes.
NeSy
Jingyuan Sha, Hikaru Shindo, Kristian Kersting, Devendra Singh Dhami
2023 J jnl
Not All Causal Inference is the Same.
Trans. Mach. Learn. Res.
Matej Zecevic, Devendra Singh Dhami, Kristian Kersting
2023 J jnl
Scalable Neural-Probabilistic Answer Set Programming.
CoRR
Arseny Skryagin, Daniel Ochs, Devendra Singh Dhami, Kristian Kersting
2023 J jnl
Scalable Neural-Probabilistic Answer Set Programming.
J. Artif. Intell. Res.
Arseny Skryagin, Daniel Ochs, Devendra Singh Dhami, Kristian Kersting
2023 J jnl
V-LoL: A Diagnostic Dataset for Visual Logical Learning.
CoRR
Lukas Helff, Wolfgang Stammer, Hikaru Shindo, Devendra Singh Dhami, Kristian Kersting
2023 A* conf
Vision Relation Transformer for Unbiased Scene Graph Generation.
ICCV
Gopika Sudhakaran, Devendra Singh Dhami, Kristian Kersting, Stefan Roth
2023 J jnl
Vision Relation Transformer for Unbiased Scene Graph Generation.
CoRR
Gopika Sudhakaran, Devendra Singh Dhami, Kristian Kersting, Stefan Roth
2023 J jnl
αILP: thinking visual scenes as differentiable logic programs.
Mach. Learn.
Hikaru Shindo, Viktor Pfanschilling, Devendra Singh Dhami, Kristian Kersting
2022 J jnl
Attributions Beyond Neural Networks: The Linear Program Case.
CoRR
Florian Peter Busch, Matej Zecevic, Kristian Kersting, Devendra Singh Dhami
2022 J jnl
Can Foundation Models Talk Causality?
CoRR
Moritz Willig, Matej Zecevic, Devendra Singh Dhami, Kristian Kersting
2022 B conf
DP-CTGAN: Differentially Private Medical Data Generation Using CTGANs.
AIME
Mei Ling Fang, Devendra Singh Dhami, Kristian Kersting
2022 J jnl
Differentiable Meta logical Programming.
CoRR
Zihan Ye, Hikaru Shindo, Devendra Singh Dhami, Kristian Kersting
2022 J jnl
Finding Structure and Causality in Linear Programs.
CoRR
Matej Zecevic, Florian Peter Busch, Devendra Singh Dhami, Kristian Kersting
2022 J jnl
HANF: Hyperparameter And Neural Architecture Search in Federated Learning.
CoRR
Jonas Seng, Pooja Prasad, Devendra Singh Dhami, Kristian Kersting
2022 J jnl
LogicRank: Logic Induced Reranking for Generative Text-to-Image Systems.
CoRR
Björn Deiseroth, Patrick Schramowski, Hikaru Shindo, Devendra Singh Dhami, Kristian Kersting
2022 J jnl
Machines Explaining Linear Programs.
CoRR
David Steinmann, Matej Zecevic, Devendra Singh Dhami, Kristian Kersting
2022 A* conf
Neural-Probabilistic Answer Set Programming.
KR
Arseny Skryagin, Wolfgang Stammer, Daniel Ochs, Devendra Singh Dhami, Kristian Kersting
2022 J jnl
Pearl Causal Hierarchy on Image Data: Intricacies & Challenges.
CoRR
Matej Zecevic, Moritz Willig, Devendra Singh Dhami, Kristian Kersting
2022 A conf
Predictive Whittle networks for time series.
UAI
Zhongjie Yu, Fabrizio Ventola, Nils Thoma, Devendra Singh Dhami, Martin Mundt, Kristian Kersting
2022 A* conf
Sum-Product Loop Programming: From Probabilistic Circuits to Loop Programming.
KR
Viktor Pfanschilling, Hikaru Shindo, Devendra Singh Dhami, Kristian Kersting
2022 J jnl
Tearing Apart NOTEARS: Controlling the Graph Prediction via Variance Manipulation.
CoRR
Jonas Seng, Matej Zecevic, Devendra Singh Dhami, Kristian Kersting
2022 J jnl
Towards a Solution to Bongard Problems: A Causal Approach.
CoRR
Salahedine Youssef, Matej Zecevic, Devendra Singh Dhami, Kristian Kersting
2021 A* conf
Beyond Simple Images: Human Knowledge-Guided GANs for Clinical Data Generation.
KR
Devendra Singh Dhami, Mayukh Das, Sriraam Natarajan
2021 J jnl
Bridging Graph Neural Networks and Statistical Relational Learning: Relational One-Class GCN.
CoRR
Devendra Singh Dhami, Siwen Yan, Sriraam Natarajan
2021 B conf
Generative Clausal Networks: Relational Decision Trees as Probabilistic Circuits.
ILP
Fabrizio Ventola, Devendra Singh Dhami, Kristian Kersting
2021 — conf
Human-Guided Learning of Column Networks: Knowledge Injection for Relational Deep Learning.
COMAD/CODS
Mayukh Das, Devendra Singh Dhami, Yang Yu, Gautam Kunapuli, Sriraam Natarajan
2021 A* conf
Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models.
NeurIPS
Matej Zecevic, Devendra Singh Dhami, Athresh Karanam, Sriraam Natarajan, Kristian Kersting
2021 J jnl
Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models.
CoRR
Matej Zecevic, Devendra Singh Dhami, Athresh Karanam, Sriraam Natarajan, Kristian Kersting
2021 J jnl
Intriguing Parameters of Structural Causal Models.
CoRR
Matej Zecevic, Devendra Singh Dhami, Kristian Kersting
2021 J jnl
Neuro-Symbolic Forward Reasoning.
CoRR
Hikaru Shindo, Devendra Singh Dhami, Kristian Kersting
2021 B conf
Non-parametric Learning of Embeddings for Relational Data Using Gaifman Locality Theorem.
ILP
Devendra Singh Dhami, Siwen Yan, Gautam Kunapuli, Sriraam Natarajan
2021 J jnl
On the Tractability of Neural Causal Inference.
CoRR
Matej Zecevic, Devendra Singh Dhami, Kristian Kersting
2021 B conf
Predicting Drug-Drug Interactions from Heterogeneous Data: An Embedding Approach.
AIME
Devendra Singh Dhami, Siwen Yan, Gautam Kunapuli, David Page, Sriraam Natarajan
2021 J jnl
Predicting Drug-Drug Interactions from Heterogeneous Data: An Embedding Approach.
CoRR
Devendra Singh Dhami, Siwen Yan, Gautam Kunapuli, David Page, Sriraam Natarajan
2021 J jnl
Relating Graph Neural Networks to Structural Causal Models.
CoRR
Matej Zecevic, Devendra Singh Dhami, Petar Velickovic, Kristian Kersting
2021 J jnl
SLASH: Embracing Probabilistic Circuits into Neural Answer Set Programming.
CoRR
Arseny Skryagin, Wolfgang Stammer, Daniel Ochs, Devendra Singh Dhami, Kristian Kersting
2021 J jnl
Structural Causal Interpretation Theorem.
CoRR
Matej Zecevic, Devendra Singh Dhami, Constantin A. Rothkopf, Kristian Kersting
2021 J jnl
Sum-Product-Attention Networks: Leveraging Self-Attention in Probabilistic Circuits.
CoRR
Zhongjie Yu, Devendra Singh Dhami, Kristian Kersting
2021 J jnl
The Causal Loss: Driving Correlation to Imply Causation.
CoRR
Moritz Willig, Matej Zecevic, Devendra Singh Dhami, Kristian Kersting
2020 — —
Effective Learning with Heterogenous, Noisy, Multi-Relational Healthcare Data.
Devendra Singh Dhami
2020 — conf
Knowledge Intensive Learning of Generative Adversarial Networks.
KiML@KDD
Devendra Singh Dhami, Mayukh Das, Sriraam Natarajan
2020 J jnl
Non-Parametric Learning of Gaifman Models.
CoRR
Devendra Singh Dhami, Siwen Yan, Gautam Kunapuli, Sriraam Natarajan
2020 — conf
The Curious Case of Stacking Boosted Relational Dependency Networks.
ICBINB@NeurIPS
Siwen Yan, Devendra Singh Dhami, Sriraam Natarajan
2019 A* conf
Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs.
AAAI
Mayukh Das, Devendra Singh Dhami, Gautam Kunapuli, Kristian Kersting, Sriraam Natarajan
2019 J jnl
Human-Guided Learning of Column Networks: Augmenting Deep Learning with Advice.
CoRR
Mayukh Das, Yang Yu, Devendra Singh Dhami, Gautam Kunapuli, Sriraam Natarajan
2019 J jnl
Knowledge-augmented Column Networks: Guiding Deep Learning with Advice.
CoRR
Mayukh Das, Devendra Singh Dhami, Yang Yu, Gautam Kunapuli, Sriraam Natarajan
2019 J jnl
Predicting Drug-Drug Interactions from Molecular Structure Images.
CoRR
Devendra Singh Dhami, Gautam Kunapuli, David Page, Sriraam Natarajan
2017 B conf
Identifying Parkinson's Patients: A Functional Gradient Boosting Approach.
AIME
Devendra Singh Dhami, Ameet Soni, David Page, Sriraam Natarajan
2017 — conf
Knowledge-Based Morphological Classification of Galaxies from Vision Features.
AAAI Workshops
Devendra Singh Dhami, David Leake, Sriraam Natarajan