ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1611.01144
  4. Cited By
Categorical Reparameterization with Gumbel-Softmax

Categorical Reparameterization with Gumbel-Softmax

3 November 2016
Eric Jang
S. Gu
Ben Poole
    BDL
ArXivPDFHTML

Papers citing "Categorical Reparameterization with Gumbel-Softmax"

50 / 1,020 papers shown
Title
TACOcc:Target-Adaptive Cross-Modal Fusion with Volume Rendering for 3D Semantic Occupancy
TACOcc:Target-Adaptive Cross-Modal Fusion with Volume Rendering for 3D Semantic Occupancy
Luyao Lei
Shuo Xu
Yifan Bai
Xing Wei
2
0
0
19 May 2025
PrimitiveAnything: Human-Crafted 3D Primitive Assembly Generation with Auto-Regressive Transformer
PrimitiveAnything: Human-Crafted 3D Primitive Assembly Generation with Auto-Regressive Transformer
Jingwen Ye
Yuze He
Yanning Zhou
Yiqin Zhu
Kaiwen Xiao
Yong-Jin Liu
Wei Yang
Xiao Han
46
0
0
07 May 2025
Soft causal learning for generalized molecule property prediction: An environment perspective
Soft causal learning for generalized molecule property prediction: An environment perspective
Limin Li
Kuo Yang
Wenjie Du
Pengkun Wang
Zhengyang Zhou
Yang Wang
OOD
AI4CE
56
0
0
07 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
28
0
0
07 May 2025
A Tutorial on Discriminative Clustering and Mutual Information
A Tutorial on Discriminative Clustering and Mutual Information
Louis Ohl
Pierre-Alexandre Mattei
F. Precioso
32
0
0
07 May 2025
Interpretable Emergent Language Using Inter-Agent Transformers
Interpretable Emergent Language Using Inter-Agent Transformers
Mannan Bhardwaj
AI4CE
112
0
0
04 May 2025
Multimodal Graph Representation Learning for Robust Surgical Workflow Recognition with Adversarial Feature Disentanglement
Multimodal Graph Representation Learning for Robust Surgical Workflow Recognition with Adversarial Feature Disentanglement
Long Bai
Boyi Ma
Ruohan Wang
Guankun Wang
Beilei Cui
...
Mobarakol Islam
Zhe Min
Jiewen Lai
Nassir Navab
Hongliang Ren
53
0
0
03 May 2025
Smooth Integer Encoding via Integral Balance
Smooth Integer Encoding via Integral Balance
Stanislav Semenov
151
1
0
28 Apr 2025
Hierarchical Uncertainty-Aware Graph Neural Network
Hierarchical Uncertainty-Aware Graph Neural Network
Yoonhyuk Choi
Jiho Choi
Taewook Ko
Chong-Kwon Kim
166
0
0
28 Apr 2025
HoloDx: Knowledge- and Data-Driven Multimodal Diagnosis of Alzheimer's Disease
HoloDx: Knowledge- and Data-Driven Multimodal Diagnosis of Alzheimer's Disease
Qiuhui Chen
Jintao Wang
Gang Wang
Yi Hong
52
0
0
27 Apr 2025
Versatile Framework for Song Generation with Prompt-based Control
Versatile Framework for Song Generation with Prompt-based Control
Wenjie Qu
Wenxiang Guo
Changhao Pan
Zehan Zhu
Ruiqi Li
...
Rongjie Huang
Ruiyuan Zhang
Zhiqing Hong
Ziyue Jiang
Zhou Zhao
77
1
0
27 Apr 2025
Probabilistic Stability Guarantees for Feature Attributions
Probabilistic Stability Guarantees for Feature Attributions
Helen Jin
Anton Xue
Weiqiu You
Surbhi Goel
Eric Wong
27
0
0
18 Apr 2025
Hierarchical Vector Quantized Graph Autoencoder with Annealing-Based Code Selection
Hierarchical Vector Quantized Graph Autoencoder with Annealing-Based Code Selection
Long Zeng
Jianxiang Yu
Jiapeng Zhu
Qingsong Zhong
Xiang Li
32
0
0
17 Apr 2025
CSPLADE: Learned Sparse Retrieval with Causal Language Models
CSPLADE: Learned Sparse Retrieval with Causal Language Models
Zhichao Xu
Aosong Feng
Yijun Tian
Haibo Ding
Lin Leee Cheong
RALM
47
0
0
15 Apr 2025
Ego4o: Egocentric Human Motion Capture and Understanding from Multi-Modal Input
Ego4o: Egocentric Human Motion Capture and Understanding from Multi-Modal Input
Jian Wang
Rishabh Dabral
D. Luvizon
Zhe Cao
Lingjie Liu
Thabo Beeler
Christian Theobalt
EgoV
50
0
0
11 Apr 2025
DyDiT++: Dynamic Diffusion Transformers for Efficient Visual Generation
DyDiT++: Dynamic Diffusion Transformers for Efficient Visual Generation
Wangbo Zhao
Yizeng Han
Jiasheng Tang
Kai Wang
Hao Luo
Yibing Song
Gao Huang
Fan Wang
Yang You
74
0
0
09 Apr 2025
Stick to Facts: Towards Fidelity-oriented Product Description Generation
Zhangming Chan
Xiuying Chen
Yongliang Wang
J. Li
Qing Cui
Kun Gai
Dongyan Zhao
Rui Yan
74
23
0
11 Mar 2025
Ideas in Inference-time Scaling can Benefit Generative Pre-training Algorithms
Jiaming Song
Linqi Zhou
DiffM
71
0
0
10 Mar 2025
GIN-Graph: A Generative Interpretation Network for Model-Level Explanation of Graph Neural Networks
Xiao Yue
Guangzhi Qu
Lige Gan
GAN
FAtt
AI4CE
63
0
0
08 Mar 2025
Interpretable High-order Knowledge Graph Neural Network for Predicting Synthetic Lethality in Human Cancers
Interpretable High-order Knowledge Graph Neural Network for Predicting Synthetic Lethality in Human Cancers
Xuexin Chen
Ruichu Cai
Zhengting Huang
Zijian Li
Jie Zheng
Min Wu
46
0
0
08 Mar 2025
Learning to Negotiate via Voluntary Commitment
Learning to Negotiate via Voluntary Commitment
Shuhui Zhu
Baoxiang Wang
Sriram Ganapathi Subramanian
Pascal Poupart
61
0
0
05 Mar 2025
Enhancing the Scalability and Applicability of Kohn-Sham Hamiltonians for Molecular Systems
Enhancing the Scalability and Applicability of Kohn-Sham Hamiltonians for Molecular Systems
Yunyang Li
Zaishuo Xia
Lin Huang
Xinran Wei
Han Yang
...
Zun Wang
Chang-Shu Liu
Jia Zhang
Bin Shao
Mark B. Gerstein
77
0
0
26 Feb 2025
On the Vulnerability of Concept Erasure in Diffusion Models
On the Vulnerability of Concept Erasure in Diffusion Models
Lucas Beerens
Alex D. Richardson
Kaicheng Zhang
Dongdong Chen
DiffM
68
2
0
24 Feb 2025
BP-SGCN: Behavioral Pseudo-Label Informed Sparse Graph Convolution Network for Pedestrian and Heterogeneous Trajectory Prediction
BP-SGCN: Behavioral Pseudo-Label Informed Sparse Graph Convolution Network for Pedestrian and Heterogeneous Trajectory Prediction
Ruochen Li
Stamos Katsigiannis
Tae-Kyun Kim
Hubert P. H. Shum
92
1
0
20 Feb 2025
Implicit Repair with Reinforcement Learning in Emergent Communication
Implicit Repair with Reinforcement Learning in Emergent Communication
Fábio Vital
A. Sardinha
Francisco S. Melo
39
0
0
18 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
171
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
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
MMGDreamer: Mixed-Modality Graph for Geometry-Controllable 3D Indoor Scene Generation
MMGDreamer: Mixed-Modality Graph for Geometry-Controllable 3D Indoor Scene Generation
Zhengyuan Yang
Keyang Lu
Chao Zhang
Jiaxing Qi
Hanqi Jiang
...
Yifan Xu
Mingzhe Xing
Zhen Xiao
Jieyi Long
Xiangde Liu
58
4
0
09 Feb 2025
Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models
Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models
Rui Cai
Chao Wang
Qianyi Cai
Dazhong Shen
Hui Xiong
RALM
85
0
0
06 Feb 2025
Fine-Tuning Discrete Diffusion Models with Policy Gradient Methods
Fine-Tuning Discrete Diffusion Models with Policy Gradient Methods
Oussama Zekri
Nicolas Boullé
DiffM
68
3
0
03 Feb 2025
ConceptVAE: Self-Supervised Fine-Grained Concept Disentanglement from 2D Echocardiographies
ConceptVAE: Self-Supervised Fine-Grained Concept Disentanglement from 2D Echocardiographies
C. Ciușdel
Alex Serban
Tiziano Passerini
CoGe
74
1
0
03 Feb 2025
GPO-VAE: Modeling Explainable Gene Perturbation Responses utilizing GRN-Aligned Parameter Optimization
GPO-VAE: Modeling Explainable Gene Perturbation Responses utilizing GRN-Aligned Parameter Optimization
Seungheun Baek
Soyon Park
Y. T. Chok
Mogan Gim
Jaewoo Kang
DRL
47
0
0
31 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
Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection
Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection
Qisen Cheng
Shuhui Qu
Janghwan Lee
53
4
0
17 Jan 2025
Graph Counterfactual Explainable AI via Latent Space Traversal
Graph Counterfactual Explainable AI via Latent Space Traversal
Andreas Abildtrup Hansen
Paraskevas Pegios
Anna Calissano
Aasa Feragen
OOD
BDL
AAML
83
0
0
15 Jan 2025
Discrete Curvature Graph Information Bottleneck
Discrete Curvature Graph Information Bottleneck
Xingcheng Fu
Jian Wang
Yisen Gao
Qingyun Sun
Haonan Yuan
Jianxin Li
Xianxian Li
34
0
0
31 Dec 2024
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
MaskGaussian: Adaptive 3D Gaussian Representation from Probabilistic Masks
MaskGaussian: Adaptive 3D Gaussian Representation from Probabilistic Masks
Yifei Liu
Zhihang Zhong
Yifan Zhan
Sheng Xu
Xiao Sun
3DGS
58
3
0
29 Dec 2024
DiffusionAttacker: Diffusion-Driven Prompt Manipulation for LLM Jailbreak
DiffusionAttacker: Diffusion-Driven Prompt Manipulation for LLM Jailbreak
Hao Wang
Hao Li
Junda Zhu
Xinyuan Wang
Changzai Pan
Minlie Huang
Lei Sha
160
0
0
23 Dec 2024
GeoX: Geometric Problem Solving Through Unified Formalized Vision-Language Pre-training
GeoX: Geometric Problem Solving Through Unified Formalized Vision-Language Pre-training
Renqiu Xia
M. Li
Hancheng Ye
Wenjie Wu
Hongbin Zhou
...
Zeang Sheng
Botian Shi
Tao Chen
Junchi Yan
Bo Zhang
91
7
0
16 Dec 2024
Object-centric proto-symbolic behavioural reasoning from pixels
Object-centric proto-symbolic behavioural reasoning from pixels
R. S. V. Bergen
Justus F. Hübotter
Pablo Lanillos
LM&Ro
OCL
93
0
0
26 Nov 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
Learning state and proposal dynamics in state-space models using differentiable particle filters and neural networks
Learning state and proposal dynamics in state-space models using differentiable particle filters and neural networks
Benjamin Cox
Santiago Segarra
Victor Elvira
81
0
0
23 Nov 2024
MambaIRv2: Attentive State Space Restoration
MambaIRv2: Attentive State Space Restoration
Hang Guo
Yong Guo
Yaohua Zha
Yulun Zhang
W. J. Li
Tao Dai
Shu-Tao Xia
Yawei Li
Mamba
122
14
0
22 Nov 2024
Efficient 3D Perception on Multi-Sweep Point Cloud with Gumbel Spatial Pruning
Efficient 3D Perception on Multi-Sweep Point Cloud with Gumbel Spatial Pruning
Jianhao Li
Tianyu Sun
Xuzhi Zhang
Zihan Wang
Bailan Feng
Hengshuang Zhao
3DPC
77
0
0
12 Nov 2024
Spatially Constrained Transformer with Efficient Global Relation
  Modelling for Spatio-Temporal Prediction
Spatially Constrained Transformer with Efficient Global Relation Modelling for Spatio-Temporal Prediction
Ashutosh Sao
Simon Gottschalk
AI4TS
39
0
0
11 Nov 2024
DMGNN: Detecting and Mitigating Backdoor Attacks in Graph Neural
  Networks
DMGNN: Detecting and Mitigating Backdoor Attacks in Graph Neural Networks
Hao Sui
Bing Chen
J. Zhang
Chengcheng Zhu
Di Wu
Qinghua Lu
Guodong Long
AAML
31
1
0
18 Oct 2024
A Complexity-Based Theory of Compositionality
A Complexity-Based Theory of Compositionality
Eric Elmoznino
Thomas Jiralerspong
Yoshua Bengio
Guillaume Lajoie
CoGe
64
4
0
18 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 Design
Chenyu Wang
Masatoshi Uehara
Yichun He
Amy Wang
Tommaso Biancalani
Avantika Lal
Tommi Jaakkola
Sergey Levine
Hanchen Wang
Aviv Regev
53
9
0
17 Oct 2024
1234...192021
Next