Cover Image

SIMPLE: A Gradient Estimator for $k$-Subset Sampling

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ahmed, Kareem, Zeng, Zhe, Niepert, Mathias, Broeck, Guy Van den
Format:	Preprint
Published:	2022
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Collapsed Inference for Bayesian Deep Learning
by: Zeng, Zhe, et al.
Published: (2023)

A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints
by: Ahmed, Kareem, et al.
Published: (2023)

ProbMoE: Differentiable Probabilistic Routing for Mixture-of-Experts
by: Zhao, Heng, et al.
Published: (2026)

Rao-Blackwell Gradient Estimators for Equivariant Denoising Diffusion
by: Tong, Vinh, et al.
Published: (2025)

On the Relationship Between Monotone and Squared Probabilistic Circuits
by: Wang, Benjie, et al.
Published: (2024)

Preference-Based Gradient Estimation for ML-Guided Approximate Combinatorial Optimization
by: Mielke, Arman, et al.
Published: (2025)

Probabilistically Rewired Message-Passing Neural Networks
by: Qian, Chendi, et al.
Published: (2023)

Image Inpainting via Tractable Steering of Diffusion Models
by: Liu, Anji, et al.
Published: (2023)

Scaling Up Probabilistic Circuits by Latent Variable Distillation
by: Liu, Anji, et al.
Published: (2022)

How to Marginalize in Causal Structure Learning?
by: Zhao, William, et al.
Published: (2025)

A Tractable Inference Perspective of Offline RL
by: Liu, Xuejie, et al.
Published: (2023)

Discrete Copula Diffusion
by: Liu, Anji, et al.
Published: (2024)

L2XGNN: Learning to Explain Graph Neural Networks
by: Serra, Giuseppe, et al.
Published: (2022)

Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks
by: Errica, Federico, et al.
Published: (2023)

Enabling Autoregressive Models to Fill In Masked Tokens
by: Israel, Daniel, et al.
Published: (2025)

Restructuring Tractable Probabilistic Circuits
by: Zhang, Honghua, et al.
Published: (2024)

Scaling Tractable Probabilistic Circuits: A Systems Perspective
by: Liu, Anji, et al.
Published: (2024)

Accelerating Diffusion LLMs via Adaptive Parallel Decoding
by: Israel, Daniel, et al.
Published: (2025)

Adversarial Tokenization
by: Geh, Renato Lui, et al.
Published: (2025)

Adaptive Physics-informed Neural Networks: A Survey
by: Torres, Edgar, et al.
Published: (2025)

MolMix: A Simple Yet Effective Baseline for Multimodal Molecular Representation Learning
by: Manolache, Andrei, et al.
Published: (2024)

Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models
by: Zhao, Siyan, et al.
Published: (2024)

Probabilistic Circuits for Cumulative Distribution Functions
by: Broadrick, Oliver, et al.
Published: (2024)

The Pitfalls of KV Cache Compression
by: Chen, Alex, et al.
Published: (2025)

Learning the Neighborhood: Contrast-Free Multimodal Self-Supervised Molecular Graph Pretraining
by: Ariguib, Boshra, et al.
Published: (2025)

Breaking the Factorization Barrier in Diffusion Language Models
by: Li, Ian, et al.
Published: (2026)

Learning to Discretize Denoising Diffusion ODEs
by: Tong, Vinh, et al.
Published: (2024)

A Compositional Atlas for Algebraic Circuits
by: Wang, Benjie, et al.
Published: (2024)

Learning (Approximately) Equivariant Networks via Constrained Optimization
by: Manolache, Andrei, et al.
Published: (2025)

Controllable Generation via Locally Constrained Resampling
by: Ahmed, Kareem, et al.
Published: (2024)

SMART: Scalable Mesh-free Aerodynamic Simulations from Raw Geometries using a Transformer-based Surrogate Model
by: Hagnberger, Jan, et al.
Published: (2026)

Adaptive Width Neural Networks
by: Errica, Federico, et al.
Published: (2025)

Tractable Transformers for Flexible Conditional Generation
by: Liu, Anji, et al.
Published: (2025)

Zero-Variance Gradients for Variational Autoencoders
by: Shao, Zilei, et al.
Published: (2025)

LOGLO-FNO: Efficient Learning of Local and Global Features in Fourier Neural Operators
by: Kalimuthu, Marimuthu, et al.
Published: (2025)

SymDrift: One-Shot Generative Modeling under Symmetries
by: Darouich, Samir, et al.
Published: (2026)

Deep Generative Models with Hard Linear Equality Constraints
by: Li, Ruoyan, et al.
Published: (2025)

CALM-PDE: Continuous and Adaptive Convolutions for Latent Space Modeling of Time-dependent PDEs
by: Hagnberger, Jan, et al.
Published: (2025)

Where is the signal in tokenization space?
by: Geh, Renato Lui, et al.
Published: (2024)

Variational Learning of Gaussian Process Latent Variable Models through Stochastic Gradient Annealed Importance Sampling
by: Xu, Jian, et al.
Published: (2024)