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The Concrete Distribution: A Continuous Relaxation of Discrete Random
  Variables

The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables

2 November 2016
Chris J. Maddison
A. Mnih
Yee Whye Teh
    BDL
ArXivPDFHTML

Papers citing "The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables"

50 / 1,503 papers shown
Title
Bayesian Estimation of Causal Effects Using Proxies of a Latent Interference Network
Bayesian Estimation of Causal Effects Using Proxies of a Latent Interference Network
Bar Weinstein
Daniel Nevo
CML
23
0
0
13 May 2025
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review
Chengmin Zhou
Ville Kyrki
P. Fränti
Laura Ruotsalainen
BDL
AI4CE
42
0
0
12 May 2025
From Pixels to Perception: Interpretable Predictions via Instance-wise Grouped Feature Selection
From Pixels to Perception: Interpretable Predictions via Instance-wise Grouped Feature Selection
Moritz Vandenhirtz
Julia E. Vogt
38
0
0
09 May 2025
Input-Specific and Universal Adversarial Attack Generation for Spiking Neural Networks in the Spiking Domain
Input-Specific and Universal Adversarial Attack Generation for Spiking Neural Networks in the Spiking Domain
Spyridon Raptis
Haralampos-G. Stratigopoulos
AAML
26
0
0
07 May 2025
Wasserstein Policy Optimization
Wasserstein Policy Optimization
David Pfau
Ian Davies
Diana Borsa
Joao G. M. Araujo
Brendan D. Tracey
H. V. Hasselt
29
0
0
01 May 2025
Exploring Cognitive and Aesthetic Causality for Multimodal Aspect-Based Sentiment Analysis
Exploring Cognitive and Aesthetic Causality for Multimodal Aspect-Based Sentiment Analysis
Luwei Xiao
Rui Mao
Shuai Zhao
Qika Lin
Yanhao Jia
Liang He
Erik Cambria
22
0
0
22 Apr 2025
Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention
Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention
Van Thuy Hoang
Hyeon-Ju Jeon
O-Joun Lee
27
0
0
21 Apr 2025
An Analysis of Temporal Dropout in Earth Observation Time Series for Regression Tasks
An Analysis of Temporal Dropout in Earth Observation Time Series for Regression Tasks
Miro Miranda
Francisco Mena
A. Dengel
OOD
51
0
0
09 Apr 2025
SDHN: Skewness-Driven Hypergraph Networks for Enhanced Localized Multi-Robot Coordination
SDHN: Skewness-Driven Hypergraph Networks for Enhanced Localized Multi-Robot Coordination
Delin Zhao
Yanbo Shan
Chang Liu
Shenghang Lin
Yingxin Shou
Bin Xu
23
0
0
09 Apr 2025
Federated Neural Architecture Search with Model-Agnostic Meta Learning
Federated Neural Architecture Search with Model-Agnostic Meta Learning
Xinyuan Huang
Jiechao Gao
FedML
AI4CE
44
0
0
08 Apr 2025
Graph Attention-Driven Bayesian Deep Unrolling for Dual-Peak Single-Photon Lidar Imaging
Graph Attention-Driven Bayesian Deep Unrolling for Dual-Peak Single-Photon Lidar Imaging
Kyungmin Choi
JaKeoung Koo
S. Mclaughlin
Abderrahim Halimi
3DPC
3DV
63
0
0
03 Apr 2025
Adversarial Curriculum Graph-Free Knowledge Distillation for Graph Neural Networks
Adversarial Curriculum Graph-Free Knowledge Distillation for Graph Neural Networks
Yuang Jia
Xiaojuan Shan
Jun-Xiong Xia
Guancheng Wan
Y. Zhang
Wenke Huang
Mang Ye
Stan Z. Li
45
0
0
01 Apr 2025
Perspective-Shifted Neuro-Symbolic World Models: A Framework for Socially-Aware Robot Navigation
Perspective-Shifted Neuro-Symbolic World Models: A Framework for Socially-Aware Robot Navigation
Kevin Alcedo
Pedro U. Lima
Rachid Alami
72
0
0
26 Mar 2025
Gumbel-Softmax Flow Matching with Straight-Through Guidance for Controllable Biological Sequence Generation
Gumbel-Softmax Flow Matching with Straight-Through Guidance for Controllable Biological Sequence Generation
Sophia Tang
Yinuo Zhang
Alexander Tong
Pranam Chatterjee
45
2
0
21 Mar 2025
Input-Triggered Hardware Trojan Attack on Spiking Neural Networks
Input-Triggered Hardware Trojan Attack on Spiking Neural Networks
Spyridon Raptis
Paul Kling
Ioannis Kaskampas
Ihsen Alouani
Haralampos-G. Stratigopoulos
AAML
49
1
0
20 Mar 2025
QINCODEC: Neural Audio Compression with Implicit Neural Codebooks
QINCODEC: Neural Audio Compression with Implicit Neural Codebooks
Zineb Lahrichi
Gaëtan Hadjeres
Gaël Richard
Geoffroy Peeters
42
0
0
19 Mar 2025
ExChanGeAI: An End-to-End Platform and Efficient Foundation Model for Electrocardiogram Analysis and Fine-tuning
ExChanGeAI: An End-to-End Platform and Efficient Foundation Model for Electrocardiogram Analysis and Fine-tuning
Lucas Bickmann
Lucas Plagwitz
Antonius Büscher
Lars Eckardt
Julian Varghese
46
0
0
17 Mar 2025
Learning to Inference Adaptively for Multimodal Large Language Models
Learning to Inference Adaptively for Multimodal Large Language Models
Zhuoyan Xu
Khoi Duc Nguyen
Preeti Mukherjee
Saurabh Bagchi
Somali Chaterji
Yingyu Liang
Yin Li
LRM
46
1
0
13 Mar 2025
Dynamic Feature Selection from Variable Feature Sets Using Features of Features
Katsumi Takahashi
Koh Takeuchi
Hisashi Kashima
50
0
0
13 Mar 2025
Sequential Function-Space Variational Inference via Gaussian Mixture Approximation
Menghao Waiyan William Zhu
Pengcheng Hao
E. Kuruoglu
BDL
43
0
0
10 Mar 2025
Decision-aware training of spatiotemporal forecasting models to select a top K subset of sites for intervention
Kyle Heuton
F. Samuel Muench
Shikhar Shrestha
Thomas J. Stopka
Michael C. Hughes
OffRL
71
0
0
07 Mar 2025
WarmFed: Federated Learning with Warm-Start for Globalization and Personalization Via Personalized Diffusion Models
Tao Feng
Jie Zhang
Xiangjian Li
Rong Huang
Huashan Liu
Zhijie Wang
FedML
59
0
0
05 Mar 2025
Technique Inference Engine: A Recommender Model to Support Cyber Threat Hunting
Matthew J. Turner
Mike Carenzo
Jackie Lasky
James Morris-King
James Ross
33
0
0
04 Mar 2025
Waste Not, Want Not; Recycled Gumbel Noise Improves Consistency in Natural Language Generation
Damien de Mijolla
Hannan Saddiq
Kim Moore
59
0
0
02 Mar 2025
Discrete Codebook World Models for Continuous Control
Aidan Scannell
Mohammadreza Nakhaei
Kalle Kujanpää
Yi Zhao
Kevin Sebastian Luck
Arno Solin
J. Pajarinen
OffRL
50
0
0
01 Mar 2025
Consistent Amortized Clustering via Generative Flow Networks
Consistent Amortized Clustering via Generative Flow Networks
Irit Chelly
Roy Uziel
O. Freifeld
Ari Pakman
51
0
0
26 Feb 2025
Neural Attention Search
Neural Attention Search
Difan Deng
Marius Lindauer
93
0
0
21 Feb 2025
Self-Explaining Hypergraph Neural Networks for Diagnosis Prediction
Self-Explaining Hypergraph Neural Networks for Diagnosis Prediction
Leisheng Yu
Yanxiao Cai
Minxing Zhang
Xia Hu
FAtt
144
0
0
15 Feb 2025
Learning to be Smooth: An End-to-End Differentiable Particle Smoother
Learning to be Smooth: An End-to-End Differentiable Particle Smoother
Ali Younis
Erik B. Sudderth
AI4TS
46
0
0
14 Feb 2025
ADMN: A Layer-Wise Adaptive Multimodal Network for Dynamic Input Noise and Compute Resources
ADMN: A Layer-Wise Adaptive Multimodal Network for Dynamic Input Noise and Compute Resources
Jason Wu
Kang Yang
Lance M. Kaplan
Mani B. Srivastava
36
0
0
11 Feb 2025
SparseFormer: Detecting Objects in HRW Shots via Sparse Vision Transformer
SparseFormer: Detecting Objects in HRW Shots via Sparse Vision Transformer
Wenxi Li
Yuchen Guo
Jilai Zheng
Haozhe Lin
Chao Ma
Lu Fang
Xiaokang Yang
ViT
60
1
0
11 Feb 2025
Sample-efficient Learning of Concepts with Theoretical Guarantees: from Data to Concepts without Interventions
H. Fokkema
T. Erven
Sara Magliacane
70
1
0
10 Feb 2025
A Semi-Supervised Text Generation Framework Combining a Deep Transformer and a GAN
A Semi-Supervised Text Generation Framework Combining a Deep Transformer and a GAN
Shengquan Wang
54
0
0
09 Feb 2025
BrainOOD: Out-of-distribution Generalizable Brain Network Analysis
BrainOOD: Out-of-distribution Generalizable Brain Network Analysis
Jiaxing Xu
Yongqiang Chen
Xia Dong
Mengcheng Lan
Tiancheng Huang
Qingtian Bian
James Cheng
Yiping Ke
OOD
68
0
0
02 Feb 2025
Graph Condensation: A Survey
Graph Condensation: A Survey
Xin Gao
Junliang Yu
Wei Jiang
Tong Chen
Wentao Zhang
Hongzhi Yin
DD
88
19
0
28 Jan 2025
You Only Prune Once: Designing Calibration-Free Model Compression With Policy Learning
You Only Prune Once: Designing Calibration-Free Model Compression With Policy Learning
Ayan Sengupta
Siddhant Chaudhary
Tanmoy Chakraborty
44
3
0
25 Jan 2025
Identification of Nonparametric Dynamic Causal Structure and Latent Process in Climate System
Identification of Nonparametric Dynamic Causal Structure and Latent Process in Climate System
Minghao Fu
Biwei Huang
Zijian Li
Yujia Zheng
Ignavier Ng
Yingyao Hu
Kun Zhang
CML
50
0
0
21 Jan 2025
mmCooper: A Multi-agent Multi-stage Communication-efficient and Collaboration-robust Cooperative Perception Framework
mmCooper: A Multi-agent Multi-stage Communication-efficient and Collaboration-robust Cooperative Perception Framework
Bingyi Liu
Jian Teng
Hongfei Xue
Enshu Wang
Chuanhui Zhu
Pu Wang
Libing Wu
85
0
0
21 Jan 2025
Feedback-Driven Vision-Language Alignment with Minimal Human Supervision
Feedback-Driven Vision-Language Alignment with Minimal Human Supervision
Giorgio Giannone
Ruoteng Li
Qianli Feng
Evgeny Perevodchikov
Rui Chen
Aleix M. Martinez
VLM
66
0
0
08 Jan 2025
Functional Risk Minimization
Functional Risk Minimization
Ferran Alet
Clement Gehring
Tomás Lozano-Pérez
Kenji Kawaguchi
Joshua B. Tenenbaum
Leslie Pack Kaelbling
OffRL
60
0
0
31 Dec 2024
Pruning Unrolled Networks (PUN) at Initialization for MRI Reconstruction
  Improves Generalization
Pruning Unrolled Networks (PUN) at Initialization for MRI Reconstruction Improves Generalization
S. Liang
Evan Bell
Avrajit Ghosh
S. Ravishankar
29
0
0
24 Dec 2024
Pre-training Graph Neural Networks on Molecules by Using
  Subgraph-Conditioned Graph Information Bottleneck
Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck
Van Thuy Hoang
O-Joun Lee
AI4CE
80
1
0
20 Dec 2024
INSIGHT: Explainable Weakly-Supervised Medical Image Analysis
INSIGHT: Explainable Weakly-Supervised Medical Image Analysis
Wenbo Zhang
Junyu Chen
Christopher Kanan
74
0
0
02 Dec 2024
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation
M. Valiuddin
R. V. Sloun
C.G.A. Viviers
Peter H. N. de With
Fons van der Sommen
UQCV
91
1
0
25 Nov 2024
Deep Sparse Latent Feature Models for Knowledge Graph Completion
Deep Sparse Latent Feature Models for Knowledge Graph Completion
Haotian Li
Rui Zhang
Lingzhi Wang
Bin Yu
Y. Wang
Yuliang Wei
Kai Wang
Richard Y. D. Xu
Bailing Wang
BDL
74
0
0
24 Nov 2024
Generative Intervention Models for Causal Perturbation Modeling
Generative Intervention Models for Causal Perturbation Modeling
Nora Schneider
Lars Lorch
Niki Kilbertus
Bernhard Schölkopf
Andreas Krause
83
2
0
21 Nov 2024
MRI Parameter Mapping via Gaussian Mixture VAE: Breaking the Assumption of Independent Pixels
Moucheng Xu
Yukun Zhou
Tobias Goodwin-Allcock
Kimia Firoozabadi
Joseph Jacob
Daniel C. Alexander
Paddy J. Slator
28
0
0
16 Nov 2024
Dynamical-VAE-based Hindsight to Learn the Causal Dynamics of
  Factored-POMDPs
Dynamical-VAE-based Hindsight to Learn the Causal Dynamics of Factored-POMDPs
Chao Han
Debabrota Basu
M. Mangan
Eleni Vasilaki
Aditya Gilra
37
0
0
12 Nov 2024
Gumbel Counterfactual Generation From Language Models
Gumbel Counterfactual Generation From Language Models
Shauli Ravfogel
Anej Svete
Vésteinn Snæbjarnarson
Ryan Cotterell
LRM
CML
33
0
0
11 Nov 2024
CausalStock: Deep End-to-end Causal Discovery for News-driven Stock
  Movement Prediction
CausalStock: Deep End-to-end Causal Discovery for News-driven Stock Movement Prediction
Shuqi Li
Yuebo Sun
Yuxin Lin
Xin Gao
Shuo Shang
Rui Yan
AIFin
24
1
0
10 Nov 2024
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