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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
Consistent Amortized Clustering via Generative Flow Networks
Consistent Amortized Clustering via Generative Flow NetworksInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Irit Chelly
Roy Uziel
Oren Freifeld
Ari Pakman
491
1
0
26 Feb 2025
Neural Attention Search
Neural Attention Search
Difan Deng
Marius Lindauer
540
0
0
18 Feb 2025
Self-Explaining Hypergraph Neural Networks for Diagnosis Prediction
Self-Explaining Hypergraph Neural Networks for Diagnosis PredictionACM Conference on Health, Inference, and Learning (CHIL), 2025
Leisheng Yu
Yanxiao Cai
Minxing Zhang
Helen Zhou
FAtt
1.1K
1
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 SmootherNeural Information Processing Systems (NeurIPS), 2025
Ali Younis
Erik B. Sudderth
AI4TS
250
4
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
Mani B. Srivastava
239
0
0
11 Feb 2025
SparseFormer: Detecting Objects in HRW Shots via Sparse Vision Transformer
SparseFormer: Detecting Objects in HRW Shots via Sparse Vision TransformerACM Multimedia (MM), 2024
Wenxi Li
Yuchen Guo
Jilai Zheng
Haozhe Lin
Chao Ma
Lu Fang
Yunbo Wang
ViT
456
5
0
11 Feb 2025
Sample-efficient Learning of Concepts with Theoretical Guarantees: from Data to Concepts without Interventions
Sample-efficient Learning of Concepts with Theoretical Guarantees: from Data to Concepts without Interventions
H. Fokkema
T. Erven
Sara Magliacane
479
3
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
107
1
0
09 Feb 2025
BrainOOD: Out-of-distribution Generalizable Brain Network Analysis
BrainOOD: Out-of-distribution Generalizable Brain Network AnalysisInternational Conference on Learning Representations (ICLR), 2025
Jiaxing Xu
Yongqiang Chen
Xia Dong
Mengcheng Lan
Tiancheng Huang
Qingtian Bian
James Cheng
Yiping Ke
OOD
422
6
0
02 Feb 2025
Graph Condensation: A Survey
Graph Condensation: A SurveyIEEE Transactions on Knowledge and Data Engineering (TKDE), 2024
Xin Gao
Junliang Yu
Wei Jiang
Tong Chen
Wentao Zhang
Hongzhi Yin
DD
441
26
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 LearningInternational Conference on Learning Representations (ICLR), 2025
Ayan Sengupta
Siddhant Chaudhary
Tanmoy Chakraborty
337
9
0
25 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
439
5
0
21 Jan 2025
Learning General Causal Structures with Hidden Dynamic Process for Climate Analysis
Learning General Causal Structures with Hidden Dynamic Process for Climate Analysis
Minghao Fu
Zhen Zhang
Zijian Li
Yujia Zheng
Ignavier Ng
Guangyi Chen
Yingyao Hu
Kun Zhang
CML
329
1
0
21 Jan 2025
A Decision-Based Heterogenous Graph Attention Network for Multi-Class Fake News Detection
A Decision-Based Heterogenous Graph Attention Network for Multi-Class Fake News DetectionKnowledge-Based Systems (KBS), 2025
Batool Lakzaei
M. H. Chehreghani
Alireza Bagheri
GNN
85
2
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
240
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 GeneralizationAsilomar Conference on Signals, Systems and Computers (ACSSC), 2024
Shijun Liang
Evan Bell
Avrajit Ghosh
S. Ravishankar
196
0
0
24 Dec 2024
Scalable Speech Enhancement with Dynamic Channel Pruning
Scalable Speech Enhancement with Dynamic Channel PruningIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Riccardo Miccini
Clément Laroche
Tobias Piechowiak
Luca Pezzarossa
144
6
0
22 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 BottleneckAAAI Conference on Artificial Intelligence (AAAI), 2024
Van Thuy Hoang
O-Joun Lee
AI4CE
297
8
0
20 Dec 2024
Discrete Subgraph Sampling for Interpretable Graph based Visual Question
  Answering
Discrete Subgraph Sampling for Interpretable Graph based Visual Question Answering
Pascal Tilli
Ngoc Thang Vu
148
1
0
11 Dec 2024
INSIGHT: Explainable Weakly-Supervised Medical Image Analysis
INSIGHT: Explainable Weakly-Supervised Medical Image Analysis
Wenbo Zhang
Junyu Chen
Christopher Kanan
370
1
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
1.1K
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
Yuanbo Wang
Yuliang Wei
Kai Wang
Richard Y. D. Xu
Bailing Wang
BDL
468
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
448
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
170
1
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
320
2
0
12 Nov 2024
Gumbel Counterfactual Generation From Language Models
Gumbel Counterfactual Generation From Language ModelsInternational Conference on Learning Representations (ICLR), 2024
Shauli Ravfogel
Anej Svete
Vésteinn Snæbjarnarson
Robert Bamler
LRMCML
605
1
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 PredictionNeural Information Processing Systems (NeurIPS), 2024
Shuqi Li
Yuebo Sun
Yuxin Lin
Xin Gao
Shuo Shang
Rui Yan
AIFin
291
6
0
10 Nov 2024
Streaming Bayes GFlowNets
Streaming Bayes GFlowNetsNeural Information Processing Systems (NeurIPS), 2024
Tiago da Silva
Daniel Augusto R. M. A. de Souza
Diego Mesquita
BDL
379
4
0
08 Nov 2024
Bootstrapping Top-down Information for Self-modulating Slot Attention
Bootstrapping Top-down Information for Self-modulating Slot AttentionNeural Information Processing Systems (NeurIPS), 2024
Dongwon Kim
Seoyeon Kim
Suha Kwak
OCLObjD
363
1
0
04 Nov 2024
Communication Learning in Multi-Agent Systems from Graph Modeling
  Perspective
Communication Learning in Multi-Agent Systems from Graph Modeling Perspective
Shengchao Hu
Li Shen
Ya Zhang
Dacheng Tao
AI4CE
353
2
0
01 Nov 2024
Conditioned quantum-assisted deep generative surrogate for
  particle-calorimeter interactions
Conditioned quantum-assisted deep generative surrogate for particle-calorimeter interactionsnpj Quantum Information (npjQI), 2024
J. Q. Toledo-Marín
Sebastian Gonzalez
Hao Jia
Ian Lu
Deniz Sogutlu
...
Eric Paquet
R. Melko
Geoffrey C. Fox
M. Swiatlowski
W. Fedorko
AI4CE
233
3
0
30 Oct 2024
Heterogeneous Interaction Modeling With Reduced Accumulated Error for
  Multi-Agent Trajectory Prediction
Heterogeneous Interaction Modeling With Reduced Accumulated Error for Multi-Agent Trajectory PredictionIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Siyuan Chen
Jiahai Wang
256
11
0
28 Oct 2024
GPRec: Bi-level User Modeling for Deep Recommenders
GPRec: Bi-level User Modeling for Deep RecommendersIndustrial Conference on Data Mining (IDM), 2024
Yejing Wang
Dong Xu
Xiangyu Zhao
Zhiren Mao
Peng Xiang
Ling Yan
Yao Hu
Zijian Zhang
Xuetao Wei
Qiang Liu
206
7
0
28 Oct 2024
MrT5: Dynamic Token Merging for Efficient Byte-level Language Models
MrT5: Dynamic Token Merging for Efficient Byte-level Language ModelsInternational Conference on Learning Representations (ICLR), 2024
Julie Kallini
Shikhar Murty
Christopher D. Manning
Christopher Potts
Róbert Csordás
416
14
0
28 Oct 2024
Exploiting Interpretable Capabilities with Concept-Enhanced Diffusion
  and Prototype Networks
Exploiting Interpretable Capabilities with Concept-Enhanced Diffusion and Prototype Networks
Alba Carballo-Castro
Sonia Laguna
Moritz Vandenhirtz
Julia E. Vogt
DiffM
298
2
0
24 Oct 2024
Learning Structured Compressed Sensing with Automatic Resource Allocation
Learning Structured Compressed Sensing with Automatic Resource AllocationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Han Wang
Eduardo Pérez
Iris A. M. Huijben
Hans van Gorp
Ruud J. G. van Sloun
Florian Römer
174
0
0
24 Oct 2024
Permutation Picture of Graph Combinatorial Optimization Problems
Permutation Picture of Graph Combinatorial Optimization Problems
Yimeng Min
142
0
0
22 Oct 2024
Erasing Undesirable Concepts in Diffusion Models with Adversarial Preservation
Erasing Undesirable Concepts in Diffusion Models with Adversarial PreservationNeural Information Processing Systems (NeurIPS), 2024
Anh-Vu Bui
L. Vuong
Khanh Doan
Trung Le
Paul Montague
Tamas Abraham
Dinh Q. Phung
KELMDiffM
582
29
0
21 Oct 2024
Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design
Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein DesignInternational Conference on Learning Representations (ICLR), 2024
Chenyu Wang
Masatoshi Uehara
Yichun He
Amy Wang
Tommaso Biancalani
Avantika Lal
Tommi Jaakkola
Sergey Levine
Hanchen Wang
Aviv Regev
285
40
0
17 Oct 2024
End-to-end Planner Training for Language Modeling
End-to-end Planner Training for Language Modeling
Nathan Cornille
Florian Mai
Jingyuan Sun
Marie-Francine Moens
252
0
0
16 Oct 2024
Learning to Optimize for Mixed-Integer Non-linear Programming
Learning to Optimize for Mixed-Integer Non-linear Programming
Bo Tang
Elias Boutros Khalil
Ján Drgoňa
580
6
0
14 Oct 2024
Gaussian Mixture Vector Quantization with Aggregated Categorical
  Posterior
Gaussian Mixture Vector Quantization with Aggregated Categorical Posterior
Mingyuan Yan
Jiawei Wu
Rushi Shah
Dianbo Liu
180
1
0
14 Oct 2024
Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition
  Path Sampling
Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path SamplingNeural Information Processing Systems (NeurIPS), 2024
Yuanqi Du
Michael Plainer
Rob Brekelmans
Chenru Duan
Frank Noé
Daniel Schwalbe-Koda
Alán Aspuru-Guzik
Kirill Neklyudov
310
26
0
10 Oct 2024
Explaining Hypergraph Neural Networks: From Local Explanations to Global
  Concepts
Explaining Hypergraph Neural Networks: From Local Explanations to Global Concepts
Shiye Su
Iulia Duta
Lucie Charlotte Magister
Pietro Lio
FAtt
168
1
0
10 Oct 2024
Improved Variational Inference in Discrete VAEs using Error Correcting Codes
Improved Variational Inference in Discrete VAEs using Error Correcting CodesConference on Uncertainty in Artificial Intelligence (UAI), 2024
María Martínez-García
Grace Villacrés
David Mitchell
Pablo M. Olmos
DRL
284
0
0
10 Oct 2024
Causal Representation Learning in Temporal Data via Single-Parent
  Decoding
Causal Representation Learning in Temporal Data via Single-Parent Decoding
Philippe Brouillard
Sébastien Lachapelle
Julia Kaltenborn
Yaniv Gurwicz
Dhanya Sridhar
Alexandre Drouin
Peer Nowack
Jakob Runge
David Rolnick
CML
223
7
0
09 Oct 2024
Gumbel Rao Monte Carlo based Bi-Modal Neural Architecture Search for
  Audio-Visual Deepfake Detection
Gumbel Rao Monte Carlo based Bi-Modal Neural Architecture Search for Audio-Visual Deepfake Detection
Aravinda Reddy PN
Raghavendra Ramachandra
K. S. Rao
Pabitra Mitra Vinod Rathod
126
2
0
09 Oct 2024
G2D2: Gradient-Guided Discrete Diffusion for Inverse Problem Solving
G2D2: Gradient-Guided Discrete Diffusion for Inverse Problem Solving
Naoki Murata
Chieh-Hsin Lai
Yuhta Takida
Toshimitsu Uesaka
Bac Nguyen
Stefano Ermon
Yuki Mitsufuji
DiffM
248
2
0
09 Oct 2024
SD-$π$XL: Generating Low-Resolution Quantized Imagery via Score
  Distillation
SD-πππXL: Generating Low-Resolution Quantized Imagery via Score DistillationACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia (SIGGRAPH Asia), 2024
Alexandre Binninger
O. Sorkine-Hornung
244
4
0
08 Oct 2024
TokenBinder: Text-Video Retrieval with One-to-Many Alignment Paradigm
TokenBinder: Text-Video Retrieval with One-to-Many Alignment ParadigmIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Bingqing Zhang
Zhuo Cao
Heming Du
Xin Yu
Xue Li
Jiajun Liu
Sen Wang
VGen
210
5
0
30 Sep 2024
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