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The Concrete Distribution: A Continuous Relaxation of Discrete Random
  Variables
v1v2v3 (latest)

The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables

2 November 2016
Chris J. Maddison
A. Mnih
Yee Whye Teh
    BDL
ArXiv (abs)PDFHTML

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

50 / 1,581 papers shown
SketchDNN: Joint Continuous-Discrete Diffusion for CAD Sketch Generation
SketchDNN: Joint Continuous-Discrete Diffusion for CAD Sketch Generation
Sathvik Chereddy
John Femiani
DiffM
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15 Jul 2025
Scalable Interconnect Learning in Boolean Networks
Scalable Interconnect Learning in Boolean Networks
Fabian Kresse
Emily Yu
Christoph H. Lampert
NAI
167
2
0
03 Jul 2025
Cooperative Sheaf Neural Networks
Cooperative Sheaf Neural Networks
André Ribeiro
Ana Luiza Tenório
Juan Belieni
Amauri Souza
Diego Mesquita
GNN
228
0
0
01 Jul 2025
Curious Causality-Seeking Agents Learn Meta Causal World
Curious Causality-Seeking Agents Learn Meta Causal World
Zhiyu Zhao
Xue Yang
Haifeng Zhang
Jun Wang
Francesco Faccio
Jürgen Schmidhuber
Mengyue Yang
CMLLRM
306
1
0
29 Jun 2025
Low-rank variational dropout: Rank selection and uncertainty in adapters
Low-rank variational dropout: Rank selection and uncertainty in adapters
Cooper Doyle
Rebecca Chan
Andy Hu
Anna Leontjeva
UQCVBDL
168
0
0
28 Jun 2025
Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians
Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians
Jun-Jee Chao
Qingyuan Jiang
Volkan Isler
3DPC
253
2
0
28 Jun 2025
Cache Me If You Can: How Many KVs Do You Need for Effective Long-Context LMs?
Cache Me If You Can: How Many KVs Do You Need for Effective Long-Context LMs?
Adithya Bhaskar
Alexander Wettig
Tianyu Gao
Yihe Dong
Danqi Chen
163
4
0
20 Jun 2025
Distribution Parameter Actor-Critic: Shifting the Agent-Environment Boundary for Diverse Action Spaces
Distribution Parameter Actor-Critic: Shifting the Agent-Environment Boundary for Diverse Action Spaces
Jiamin He
A. Rupam Mahmood
Martha White
102
0
0
19 Jun 2025
Quantum-Inspired Differentiable Integral Neural Networks (QIDINNs): A Feynman-Based Architecture for Continuous Learning Over Streaming Data
Quantum-Inspired Differentiable Integral Neural Networks (QIDINNs): A Feynman-Based Architecture for Continuous Learning Over Streaming Data
Oscar Boullosa Dapena
203
0
0
13 Jun 2025
An Explainable AI Framework for Dynamic Resource Management in Vehicular Network Slicing
An Explainable AI Framework for Dynamic Resource Management in Vehicular Network Slicing
Haochen Sun
Yifan Liu
Ahmed Al-Tahmeesschi
Swarna Bindu Chetty
Syed Ali Raza Zaidi
Avishek Nag
Hamed Ahmadi
160
1
0
13 Jun 2025
The Diffusion Duality
The Diffusion Duality
Subham S. Sahoo
Justin Deschenaux
Aaron Gokaslan
Guanghan Wang
Justin T Chiu
Volodymyr Kuleshov
DiffM
396
32
0
12 Jun 2025
Line of Sight: On Linear Representations in VLLMs
Achyuta Rajaram
Sarah Schwettmann
Jacob Andreas
Arthur Conmy
VLM
283
2
0
05 Jun 2025
Amortized variational transdimensional inference
Amortized variational transdimensional inference
Laurence Davies
Dan Mackinlay
Rafael Oliveira
Scott A. Sisson
DRLBDL
480
1
0
05 Jun 2025
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting
FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian SplattingComputer Vision and Pattern Recognition (CVPR), 2025
Hengyu Liu
Yuehao Wang
Chenxin Li
Ruisi Cai
Kevin Wang
Wuyang Li
Pavlo Molchanov
Peihao Wang
Zinan Lin
3DGS
286
2
0
04 Jun 2025
Learning Binarized Representations with Pseudo-positive Sample Enhancement for Efficient Graph Collaborative Filtering
Learning Binarized Representations with Pseudo-positive Sample Enhancement for Efficient Graph Collaborative Filtering
Yankai Chen
Yue Que
Xinni Zhang
Chen Ma
Irwin King
231
2
0
03 Jun 2025
MAGIK: Mapping to Analogous Goals via Imagination-enabled Knowledge Transfer
MAGIK: Mapping to Analogous Goals via Imagination-enabled Knowledge Transfer
Ajsal Shereef Palattuparambil
Thommen George Karimpanal
Santu Rana
OffRL
283
0
0
02 Jun 2025
Adaptive Two Sided Laplace Transforms: A Learnable, Interpretable, and Scalable Replacement for Self-Attention
Adaptive Two Sided Laplace Transforms: A Learnable, Interpretable, and Scalable Replacement for Self-Attention
Andrew Kiruluta
149
0
0
01 Jun 2025
Effective and Efficient One-pass Compression of Speech Foundation Models Using Sparsity-aware Self-pinching Gates
Effective and Efficient One-pass Compression of Speech Foundation Models Using Sparsity-aware Self-pinching Gates
Haoning Xu
Zhaoqing Li
Youjun Chen
Huimeng Wang
Guinan Li
Mengzhe Geng
Chengxi Deng
Xunying Liu
250
0
0
28 May 2025
CellCLAT: Preserving Topology and Trimming Redundancy in Self-Supervised Cellular Contrastive Learning
CellCLAT: Preserving Topology and Trimming Redundancy in Self-Supervised Cellular Contrastive Learning
Bin Qin
Qirui Ji
Jiangmeng Li
Yupeng Wang
Xuesong Wu
Jianwen Cao
Jianwei Niu
192
1
0
27 May 2025
Information-theoretic Generalization Analysis for VQ-VAEs: A Role of Latent Variables
Information-theoretic Generalization Analysis for VQ-VAEs: A Role of Latent Variables
Futoshi Futami
Masahiro Fujisawa
DRLCML
384
0
0
26 May 2025
Joint-stochastic-approximation Autoencoders with Application to Semi-supervised Learning
Joint-stochastic-approximation Autoencoders with Application to Semi-supervised Learning
Wenbo He
Zhijian Ou
DRLBDL
138
0
0
24 May 2025
Early-Exit Graph Neural Networks
Early-Exit Graph Neural Networks
Andrea Giuseppe Di Francesco
Maria Sofia Bucarelli
F. M. Nardini
R. Perego
Nicola Tonellotto
Fabrizio Silvestri
362
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0
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A Principled Bayesian Framework for Training Binary and Spiking Neural Networks
James A. Walker
M. Khajehnejad
Adeel Razi
BDL
311
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0
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GCAL: Adapting Graph Models to Evolving Domain Shifts
GCAL: Adapting Graph Models to Evolving Domain Shifts
Ziyue Qiao
Qianyi Cai
Hao Dong
Jiawei Gu
Pengyang Wang
Meng Xiao
Xiao Luo
Hui Xiong
CLL
258
3
0
22 May 2025
Leveraging Multivariate Long-Term History Representation for Time Series Forecasting
Leveraging Multivariate Long-Term History Representation for Time Series ForecastingIEEE Transactions on Artificial Intelligence (IEEE TAI), 2025
Huiliang Zhang
Di Wu
Arnaud Zinflou
Stephane Dellacherie
Mouhamadou Makhtar Dione
Benoit Boulet
AI4TS
220
0
0
20 May 2025
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
215
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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
Pasi Fränti
Laura Ruotsalainen
BDLAI4CE
416
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
393
1
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
246
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
372
3
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 AnalysisIEEE Transactions on Affective Computing (IEEE Trans. Affective Comput.), 2025
Luwei Xiao
Rui Mao
Shuai Zhao
Qika Lin
Yanhao Jia
Liang He
Xiaoshi Zhong
280
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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-AttentionIEEE Transactions on Network Science and Engineering (IEEE TNS&E), 2025
Van Thuy Hoang
Hyeon-Ju Jeon
O-Joun Lee
230
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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 TasksInternational Symposium on Intelligent Data Analysis (IDA), 2025
Miro Miranda
Francisco Mena
A. Dengel
OOD
222
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
322
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Federated Neural Architecture Search with Model-Agnostic Meta Learning
Federated Neural Architecture Search with Model-Agnostic Meta Learning
Xinyuan Huang
Jiechao Gao
FedMLAI4CE
273
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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 ImagingIEEE Transactions on Computational Imaging (IEEE TCI), 2025
Kyungmin Choi
JaKeoung Koo
S. Mclaughlin
Abderrahim Halimi
3DPC3DV
274
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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 Xia
Guancheng Wan
Y. Zhang
Wenke Huang
Mang Ye
Stan Z. Li
356
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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
359
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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
274
11
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Input-Triggered Hardware Trojan Attack on Spiking Neural Networks
Input-Triggered Hardware Trojan Attack on Spiking Neural NetworksIEEE International Symposium on Hardware Oriented Security and Trust (HOST), 2025
Spyridon Raptis
Paul Kling
Ioannis Kaskampas
Ihsen Alouani
Haralampos-G. Stratigopoulos
AAML
275
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0
20 Mar 2025
QINCODEC: Neural Audio Compression with Implicit Neural Codebooks
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Gaëtan Hadjeres
Gaël Richard
Geoffroy Peeters
325
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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
182
1
0
17 Mar 2025
Dynamic Feature Selection from Variable Feature Sets Using Features of Features
Katsumi Takahashi
Koh Takeuchi
Hisashi Kashima
212
1
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13 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
407
4
0
13 Mar 2025
Sequential Function-Space Variational Inference via Gaussian Mixture Approximation
Sequential Function-Space Variational Inference via Gaussian Mixture Approximation
Menghao Waiyan William Zhu
Pengcheng Hao
E. Kuruoglu
BDL
248
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0
10 Mar 2025
Decision-aware training of spatiotemporal forecasting models to select a top K subset of sites for intervention
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
543
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0
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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
237
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0
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Technique Inference Engine: A Recommender Model to Support Cyber Threat Hunting
Matthew J. Turner
Mike Carenzo
Jackie Lasky
James Morris-King
James Ross
163
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Waste Not, Want Not; Recycled Gumbel Noise Improves Consistency in Natural Language GenerationNorth American Chapter of the Association for Computational Linguistics (NAACL), 2025
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Hannan Saddiq
Kim Moore
228
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Discrete Codebook World Models for Continuous ControlInternational Conference on Learning Representations (ICLR), 2025
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Mohammadreza Nakhaei
Kalle Kujanpää
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Dieter Büchler
Joni Pajarinen
OffRL
283
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