Benjie Wang
15 papers · 2020–2026 · 9 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+8 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (27) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π§¬
Topic Evolution
π
Grand Slam
β‘
Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
β
The Questioner
π
Century Club Β· Bronze
π
Renaissance Researcher
(5)
ποΈ
Keyword Collector
(76)
Top co-authors
Research topics
Artificial Intelligence
(11)
Machine Learning
(11)
Core AI
(8)
Bayesian & Probabilistic Β· Artificial Intelligence
(7)
Optimization & Theory
(7)
Knowledge & Reasoning
(3)
Natural Language Processing
(3)
Bayesian & Probabilistic Β· Machine Learning
(3)
Reasoning
(3)
Deep Learning
(2)
Application Areas
(2)
Core Methods
(2)
Generation
(2)
Models
(2)
Computer Science
(1)
Keywords
probabilistic circuit
(6)
tractable inference
(3)
causal graph
(2)
causal discovery
(2)
bayesian inference
(2)
causal inference
(2)
variational inference
(1)
probabilistic modeling
(1)
certified robustness
(1)
structure learning
(1)
probabilistic inference
(1)
density estimation
(1)
uncertainty quantification
(1)
multimodal learning
(1)
approximate inference
(1)
posterior inference
(1)
formal verification
(1)
probability estimation
(1)
marginal inference
(1)
marginal map
(1)
Papers
Interpretable Causal Discovery via Causal-Effect Constraints
UAI 2026
On the Relationship Between Monotone and Squared Probabilistic Circuits
AAAI 2025
PREMAP: A Unifying PREiMage APproximation Framework for Neural Networks
JMLR 2025
Restructuring Tractable Probabilistic Circuits
AISTATS 2025
Scaling Probabilistic Circuits via Monarch Matrices
ICML 2025
TRACE Back from the Future: A Probabilistic Reasoning Approach to Controllable Language Generation
ICML 2025
A Compositional Atlas for Algebraic Circuits
NeurIPS 2024
Neural structure learning with stochastic differential equations
ICLR 2024
Where is the signal in tokenization space?
EMNLP 2024
Compositional Probabilistic and Causal Inference using Tractable Circuit Models
AISTATS 2023
Robustness Guarantees for Credal Bayesian Networks via Constraint Relaxation over Probabilistic Circuits
IJCAI 2022
Tractable Uncertainty for Structure Learning
ICML 2022
Provable Guarantees on the Robustness of Decision Rules to Causal Interventions
IJCAI 2021
Statistically robust neural network classification
UAI 2021
Assessing Robustness of Text Classification through Maximal Safe Radius Computation
EMNLP 2020