UAI 2021 Workshop TPM Submissions

Composing Normalizing Flows for Inverse Problems
Jay Whang, Erik Lindgren, Alex Dimakis
- Published: 25 Jul 2021, Last Modified: 05 May 2023
- TPM 2021
- Readers: Everyone
Is Parameter Learning via Weighted Model Integration Tractable?
Zhe Zeng, Paolo Morettin, Fanqi Yan, antonio vergari, Andrea Passerini, Guy Van den Broeck
- Published: 25 Jul 2021, Last Modified: 05 May 2023
- TPM 2021
- Readers: Everyone
Exact and Efficient Adversarial Robustness with Decomposable Neural Networks
Pranav Shankar Subramani, antonio vergari, Gautam Kamath, Robert Peharz
- Published: 25 Jul 2021, Last Modified: 05 May 2023
- TPM 2021
- Readers: Everyone
IL-Strudel : Independence-Based Learning of Structured-Decomposable Probabilistic Circuit Ensembles
Shreyas Kowshik, Yitao Liang, Guy Van den Broeck
- Published: 25 Jul 2021, Last Modified: 05 May 2023
- TPM 2021
- Readers: Everyone
Trumpets: Injective Flows for Inference and Inverse Problems
Konik Kothari, AmirEhsan Khorashadizadeh, Maarten V. de Hoop, Ivan Dokmanić
- Published: 25 Jul 2021, Last Modified: 05 May 2023
- TPM 2021
- Readers: Everyone
Automatic variational inference with cascading flows
Luca Ambrogioni, Gianluigi Silvestri, Marcel van Gerven
- Published: 25 Jul 2021, Last Modified: 05 May 2023
- TPM 2021
- Readers: Everyone
Probabilistic Generating Circuits
Honghua Zhang, Brendan Juba, Guy Van den Broeck
- Published: 25 Jul 2021, Last Modified: 05 May 2023
- TPM 2021
- Readers: Everyone
Fast And Accurate Learning of Probabilistic Circuits by Random Projections
Renato Geh, Denis Mauá
- Published: 25 Jul 2021, Last Modified: 05 May 2023
- TPM 2021
- Readers: Everyone
A Compositional Atlas of Tractable Circuit Operations for Probabilistic Inference
antonio vergari, YooJung Choi, Anji Liu, Stefano Teso, Guy Van den Broeck
- Published: 25 Jul 2021, Last Modified: 05 May 2023
- TPM 2021
- Readers: Everyone
Negative Weights in Hinge-Loss Markov Random Fields
Charles Andrew Dickens, Eriq Augustine, Connor Pryor, Lise Getoor
- Published: 25 Jul 2021, Last Modified: 05 May 2023
- TPM 2021
- Readers: Everyone
Leveraging Probabilistic Circuits for Nonparametric Multi-Output Regression
Zhongjie Yu, Mingye Zhu, Martin Trapp, Arseny Skryagin, Kristian Kersting
- Published: 25 Jul 2021, Last Modified: 05 May 2023
- TPM 2021
- Readers: Everyone
Structural Learning of Probabilistic Sentential Decision Diagrams under Partial Closed-World Assumption
Alessandro Antonucci, Alessandro Facchini, Lilith Mattei
- Published: 25 Jul 2021, Last Modified: 05 May 2023
- TPM 2021
- Readers: Everyone
Dynamic Cutset Networks
Chiradeep Roy, Tahrima Rahman, Hailiang Dong, Vibhav Giridhar Gogate, Nicholas Ruozzi
- Published: 25 Jul 2021, Last Modified: 05 May 2023
- TPM 2021
- Readers: Everyone
Random Probabilistic Circuits
Nicola Di Mauro, Gennaro Gala, Marco Iannotta, Teresa M.A. Basile
- Published: 25 Jul 2021, Last Modified: 05 May 2023
- TPM 2021
- Readers: Everyone
Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models
Matej Zecevic, Devendra Singh Dhami, Athresh Karanam, Sriraam Natarajan, Kristian Kersting
- Published: 25 Jul 2021, Last Modified: 05 May 2023
- TPM 2021
- Readers: Everyone
Tractable Regularization of Probabilistic Circuits
Anji Liu, Guy Van den Broeck
- Published: 25 Jul 2021, Last Modified: 05 May 2023
- TPM 2021
- Readers: Everyone
CInC Flow: Characterizable Invertible 3$\times$3 Convolution
Sandeep Nagar, Marius Dufraisse, Girish Varma
- Published: 25 Jul 2021, Last Modified: 05 May 2023
- TPM 2021
- Readers: Everyone
Conditionally Tractable Density Estimation using Neural Networks
Hailiang Dong, Chiradeep Roy, Tahrima Rahman, Vibhav Giridhar Gogate, Nicholas Ruozzi
- Published: 25 Jul 2021, Last Modified: 05 May 2023
- TPM 2021
- Readers: Everyone
Probabilistic Circuits for Variational Inference in Discrete Graphical Models
Andy Shih, Stefano Ermon
- Published: 25 Jul 2021, Last Modified: 22 Oct 2023
- TPM 2021
- Readers: Everyone
Provable Guarantees on the Robustness of Decision Rules to Causal Interventions
Benjie Wang, Clare Lyle, Marta Kwiatkowska
- Published: 25 Jul 2021, Last Modified: 05 May 2023
- TPM 2021
- Readers: Everyone
Probabilistic Sufficient Explanations
Eric Wang, Pasha Khosravi, Guy Van den Broeck
- Published: 25 Jul 2021, Last Modified: 22 Oct 2023
- TPM 2021
- Readers: Everyone
Whittle Networks: A Deep Likelihood Model for Time Series
Zhongjie Yu, Fabrizio Ventola, Kristian Kersting
- Published: 25 Jul 2021, Last Modified: 05 May 2023
- TPM 2021
- Readers: Everyone
HyperSPNs: Compact and Expressive Probabilistic Circuits
Andy Shih, Dorsa Sadigh, Stefano Ermon
- Published: 25 Jul 2021, Last Modified: 22 Oct 2023
- TPM 2021
- Readers: Everyone
No-Regret Approximate Inference via Bayesian Optimisation
Rafael Oliveira, Lionel Ott, Fabio Ramos
- Published: 25 Jul 2021, Last Modified: 05 May 2023
- TPM 2021
- Readers: Everyone
On Recovering from Modeling Errors Using Testing Bayesian Networks
Haiying Huang, Adnan Darwiche
- Published: 25 Jul 2021, Last Modified: 05 May 2023
- TPM 2021
- Readers: Everyone