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Deep Unsupervised Learning using Nonequilibrium Thermodynamics
v1v2v3v4v5v6v7v8 (latest)

Deep Unsupervised Learning using Nonequilibrium Thermodynamics

12 March 2015
Jascha Narain Sohl-Dickstein
Eric A. Weiss
Niru Maheswaranathan
Surya Ganguli
    SyDaDiffM
ArXiv (abs)PDFHTML

Papers citing "Deep Unsupervised Learning using Nonequilibrium Thermodynamics"

50 / 4,616 papers shown
Title
Gradient-Guided Conditional Diffusion Models for Private Image
  Reconstruction: Analyzing Adversarial Impacts of Differential Privacy and
  Denoising
Gradient-Guided Conditional Diffusion Models for Private Image Reconstruction: Analyzing Adversarial Impacts of Differential Privacy and Denoising
Tao Huang
Jiayang Meng
Hong Chen
Guolong Zheng
Xu Yang
Xun Yi
Hua Wang
DiffM
73
2
0
05 Nov 2024
Generative Unfolding with Distribution Mapping
Generative Unfolding with Distribution Mapping
A. Butter
S. Diefenbacher
Nathan Huetsch
Vinicius Mikuni
Benjamin Nachman
Sofia Palacios Schweitzer
Tilman Plehn
DiffM
76
1
0
04 Nov 2024
Bridge-IF: Learning Inverse Protein Folding with Markov Bridges
Bridge-IF: Learning Inverse Protein Folding with Markov Bridges
Yiheng Zhu
Jialu Wu
Yue Liu
Jiahuan Yan
Mingze Yin
Wei Wu
Mingyang Li
Jieping Ye
Zehua Wang
Jian Wu
93
8
0
04 Nov 2024
Optical Flow Representation Alignment Mamba Diffusion Model for Medical
  Video Generation
Optical Flow Representation Alignment Mamba Diffusion Model for Medical Video Generation
Zhenbin Wang
Lei Zhang
Lituan Wang
Minjuan Zhu
Zhenwei Zhang
VGenMedIm
101
3
0
03 Nov 2024
DreamPolish: Domain Score Distillation With Progressive Geometry
  Generation
DreamPolish: Domain Score Distillation With Progressive Geometry Generation
Yean Cheng
Ziqi Cai
Ming Ding
Wendi Zheng
Shiyu Huang
Yuxiao Dong
J. Tang
Boxin Shi
DiffM
63
0
0
03 Nov 2024
HC$^3$L-Diff: Hybrid conditional latent diffusion with high frequency
  enhancement for CBCT-to-CT synthesis
HC3^33L-Diff: Hybrid conditional latent diffusion with high frequency enhancement for CBCT-to-CT synthesis
Shi Yin
Hongqi Tan
Li Ming Chong
Haofeng Liu
Hui Liu
Kang Hao Lee
Jeffrey Kit Loong Tuan
Dean Ho
Yueming Jin
DiffMMedIm
66
0
0
03 Nov 2024
X-Drive: Cross-modality consistent multi-sensor data synthesis for
  driving scenarios
X-Drive: Cross-modality consistent multi-sensor data synthesis for driving scenarios
Yichen Xie
Chenfeng Xu
C-T.John Peng
Shuqi Zhao
Nhat Ho
Alexander T. Pham
Mingyu Ding
Masayoshi Tomizuka
Weidong Zhan
DiffM
94
3
0
02 Nov 2024
Conditional Synthesis of 3D Molecules with Time Correction Sampler
Conditional Synthesis of 3D Molecules with Time Correction Sampler
Hojung Jung
Youngrok Park
Laura Schmid
Jaehyeong Jo
Dongkyu Lee
Bongsang Kim
Se-Young Yun
Jinwoo Shin
DiffM
101
4
0
01 Nov 2024
Generative AI-based Pipeline Architecture for Increasing Training
  Efficiency in Intelligent Weed Control Systems
Generative AI-based Pipeline Architecture for Increasing Training Efficiency in Intelligent Weed Control Systems
Sourav Modak
Anthony Stein
68
2
0
01 Nov 2024
ConceptFactory: Facilitate 3D Object Knowledge Annotation with Object
  Conceptualization
ConceptFactory: Facilitate 3D Object Knowledge Annotation with Object Conceptualization
Jianhua Sun
Yongqian Li
Longfei Xu
Nange Wang
Jiude Wei
Yining Zhang
Cewu Lu
93
1
0
01 Nov 2024
Constrained Diffusion Implicit Models
Constrained Diffusion Implicit Models
V. Jayaram
Ira Kemelmacher-Shlizerman
Steven M. Seitz
John Thickstun
DiffM
100
0
0
01 Nov 2024
Fashion-VDM: Video Diffusion Model for Virtual Try-On
Fashion-VDM: Video Diffusion Model for Virtual Try-On
J. Karras
Yingwei Li
Nan Liu
Luyang Zhu
Innfarn Yoo
Andreas Lugmayr
Chris Lee
Ira Kemelmacher-Shlizerman
DiffMVGen
88
7
0
31 Oct 2024
Bridging Geometric States via Geometric Diffusion Bridge
Bridging Geometric States via Geometric Diffusion Bridge
Shengjie Luo
Yixian Xu
Di He
Shuxin Zheng
Tie-Yan Liu
Liwei Wang
70
0
0
31 Oct 2024
Enhancing Motion in Text-to-Video Generation with Decomposed Encoding
  and Conditioning
Enhancing Motion in Text-to-Video Generation with Decomposed Encoding and Conditioning
Penghui Ruan
Pichao Wang
Divya Saxena
Jiannong Cao
Yuhui Shi
DiffMVGen
104
0
0
31 Oct 2024
Scaling Concept With Text-Guided Diffusion Models
Scaling Concept With Text-Guided Diffusion Models
Chao Huang
Susan Liang
Yunlong Tang
Yapeng Tian
Anurag Kumar
Chenliang Xu
DiffM
92
6
0
31 Oct 2024
Understanding Generalizability of Diffusion Models Requires Rethinking
  the Hidden Gaussian Structure
Understanding Generalizability of Diffusion Models Requires Rethinking the Hidden Gaussian Structure
Xiang Li
Yixiang Dai
Qing Qu
DiffMAI4CE
104
16
0
31 Oct 2024
Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using
  Discrete State Space Diffusion Model
Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model
Wenjia Xie
Hao Wang
Lefei Zhang
Rui Zhou
Defu Lian
Enhong Chen
DiffM
130
4
0
31 Oct 2024
Stochastic Reconstruction of Gappy Lagrangian Turbulent Signals by
  Conditional Diffusion Models
Stochastic Reconstruction of Gappy Lagrangian Turbulent Signals by Conditional Diffusion Models
Tianyi Li
Luca Biferale
F. Bonaccorso
M. Buzzicotti
Luca Centurioni
DiffM
76
4
0
31 Oct 2024
Text-DiFuse: An Interactive Multi-Modal Image Fusion Framework based on
  Text-modulated Diffusion Model
Text-DiFuse: An Interactive Multi-Modal Image Fusion Framework based on Text-modulated Diffusion Model
Hao Zhang
Lei Cao
Jiayi Ma
DiffM
77
7
0
31 Oct 2024
A Geometric Framework for Understanding Memorization in Generative Models
A Geometric Framework for Understanding Memorization in Generative Models
Brendan Leigh Ross
Hamidreza Kamkari
Tongzi Wu
Rasa Hosseinzadeh
Zhaoyan Liu
George Stein
Jesse C. Cresswell
Gabriel Loaiza-Ganem
140
9
0
31 Oct 2024
ReferEverything: Towards Segmenting Everything We Can Speak of in Videos
ReferEverything: Towards Segmenting Everything We Can Speak of in Videos
Anurag Bagchi
Zhipeng Bao
Yu-Xiong Wang
P. Tokmakov
Martial Hebert
VOS
73
2
0
30 Oct 2024
DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic
  Signal Control with Missing Data
DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing Data
Hanyang Chen
Yang Jiang
Shengnan Guo
Xiaowei Mao
Youfang Lin
Huaiyu Wan
99
4
0
30 Oct 2024
Latent Diffusion, Implicit Amplification: Efficient Continuous-Scale
  Super-Resolution for Remote Sensing Images
Latent Diffusion, Implicit Amplification: Efficient Continuous-Scale Super-Resolution for Remote Sensing Images
Hanlin Wu
Jiangwei Mo
Xiaohui Sun
Jie Ma
67
3
0
30 Oct 2024
Video prediction using score-based conditional density estimation
Video prediction using score-based conditional density estimation
P. Fiquet
Eero P. Simoncelli
AI4TS
55
0
0
30 Oct 2024
Consistency Diffusion Bridge Models
Consistency Diffusion Bridge Models
Guande He
Kaiwen Zheng
Jianfei Chen
Fan Bao
Jun-Jie Zhu
DiffM
124
5
0
30 Oct 2024
Unlocking Point Processes through Point Set Diffusion
Unlocking Point Processes through Point Set Diffusion
David Lüdke
Enric Rabasseda Raventós
Marcel Kollovieh
Stephan Günnemann
DiffM
75
3
0
29 Oct 2024
Capacity Control is an Effective Memorization Mitigation Mechanism in
  Text-Conditional Diffusion Models
Capacity Control is an Effective Memorization Mitigation Mechanism in Text-Conditional Diffusion Models
Raman Dutt
Pedro Sanchez
Ondrej Bohdal
Sotirios A. Tsaftaris
Timothy M. Hospedales
121
1
0
29 Oct 2024
PrefPaint: Aligning Image Inpainting Diffusion Model with Human
  Preference
PrefPaint: Aligning Image Inpainting Diffusion Model with Human Preference
Kendong Liu
Zhiyu Zhu
Chuanhao Li
Hui Liu
H. Zeng
Junhui Hou
EGVM
76
4
0
29 Oct 2024
Discrete Modeling via Boundary Conditional Diffusion Processes
Discrete Modeling via Boundary Conditional Diffusion Processes
Yuxuan Gu
Xiaocheng Feng
Lei Huang
Yingsheng Wu
Zekun Zhou
Weihong Zhong
Kun Zhu
Bing Qin
DiffM
62
0
0
29 Oct 2024
Volumetric Conditioning Module to Control Pretrained Diffusion Models
  for 3D Medical Images
Volumetric Conditioning Module to Control Pretrained Diffusion Models for 3D Medical Images
Suhyun Ahn
Wonjung Park
Jihoon Cho
Seunghyuck Park
Jinah Park
MedIm
87
0
0
29 Oct 2024
Pushing the Limits of All-Atom Geometric Graph Neural Networks:
  Pre-Training, Scaling and Zero-Shot Transfer
Pushing the Limits of All-Atom Geometric Graph Neural Networks: Pre-Training, Scaling and Zero-Shot Transfer
Zihan Pengmei
Zhengyuan Shen
Zichen Wang
Marcus Collins
Huzefa Rangwala
AI4CE
65
2
0
29 Oct 2024
Adapting Diffusion Models for Improved Prompt Compliance and
  Controllable Image Synthesis
Adapting Diffusion Models for Improved Prompt Compliance and Controllable Image Synthesis
Deepak Sridhar
Abhishek Peri
Rohith Rachala
Nuno Vasconcelos
DiffM
69
1
0
29 Oct 2024
OFER: Occluded Face Expression Reconstruction
OFER: Occluded Face Expression Reconstruction
Pratheba Selvaraju
Victoria Fernandez-Abrevaya
Timo Bolkart
Rick Akkerman
Tianyu Ding
F. Amjadi
Ilya Zharkov
DiffMCVBM3DH
100
0
0
29 Oct 2024
One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion
  Distillation
One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation
Zhendong Wang
Zhiyu Li
Ajay Mandlekar
Zhenjia Xu
Jiaojiao Fan
...
Yuke Zhu
Yogesh Balaji
Mingyuan Zhou
Xuan Li
Yu Zeng
110
18
0
28 Oct 2024
Generative Example-Based Explanations: Bridging the Gap between
  Generative Modeling and Explainability
Generative Example-Based Explanations: Bridging the Gap between Generative Modeling and Explainability
Philipp Vaeth
Alexander M. Fruehwald
Benjamin Paassen
Magda Gregorova
GAN
58
0
0
28 Oct 2024
Generative Simulations of The Solar Corona Evolution With Denoising
  Diffusion : Proof of Concept
Generative Simulations of The Solar Corona Evolution With Denoising Diffusion : Proof of Concept
Grégoire Francisco
Francesco P. Ramunno
M. Georgoulis
João Fernandes
Teresa Barata
Dario Del Moro
DiffMVGen
46
0
0
28 Oct 2024
Absorb & Escape: Overcoming Single Model Limitations in Generating
  Genomic Sequences
Absorb & Escape: Overcoming Single Model Limitations in Generating Genomic Sequences
Zehui Li
Yuhao Ni
Guoxuan Xia
W. Beardall
Akashaditya Das
Guy-Bart Stan
Yiren Zhao
64
0
0
28 Oct 2024
CompGS: Unleashing 2D Compositionality for Compositional Text-to-3D via
  Dynamically Optimizing 3D Gaussians
CompGS: Unleashing 2D Compositionality for Compositional Text-to-3D via Dynamically Optimizing 3D Gaussians
Chongjian Ge
Chenfeng Xu
Yuanfeng Ji
C-T.John Peng
Masayoshi Tomizuka
Ping Luo
Mingyu Ding
Varun Jampani
Weidong Zhan
3DGS
61
4
0
28 Oct 2024
Reprogramming Pretrained Target-Specific Diffusion Models for
  Dual-Target Drug Design
Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design
Xiangxin Zhou
Jiaqi Guan
Yunke Zhang
Xingang Peng
Liang Wang
Jianzhu Ma
65
4
0
28 Oct 2024
Energy-Based Diffusion Language Models for Text Generation
Energy-Based Diffusion Language Models for Text Generation
Minkai Xu
Tomas Geffner
Karsten Kreis
Weili Nie
Yilun Xu
J. Leskovec
Stefano Ermon
Arash Vahdat
DiffM
119
19
0
28 Oct 2024
David and Goliath: Small One-step Model Beats Large Diffusion with Score Post-training
David and Goliath: Small One-step Model Beats Large Diffusion with Score Post-training
Weijian Luo
C. Zhang
Debing Zhang
Zhengyang Geng
96
3
0
28 Oct 2024
One-Step is Enough: Sparse Autoencoders for Text-to-Image Diffusion Models
One-Step is Enough: Sparse Autoencoders for Text-to-Image Diffusion Models
Viacheslav Surkov
Chris Wendler
Antonio Mari
Mikhail Terekhov
Justin Deschenaux
Robert West
Çağlar Gülçehre
David Bau
VLM
130
13
0
28 Oct 2024
Beyond Autoregression: Fast LLMs via Self-Distillation Through Time
Beyond Autoregression: Fast LLMs via Self-Distillation Through Time
Justin Deschenaux
Çağlar Gülçehre
131
5
0
28 Oct 2024
On learning higher-order cumulants in diffusion models
On learning higher-order cumulants in diffusion models
Gert Aarts
Diaa E. Habibi
Lei Wang
K. Zhou
104
5
0
28 Oct 2024
TabDiff: a Multi-Modal Diffusion Model for Tabular Data Generation
TabDiff: a Multi-Modal Diffusion Model for Tabular Data Generation
Juntong Shi
Minkai Xu
Harper Hua
Hengrui Zhang
Stefano Ermon
J. Leskovec
DiffM
47
9
0
27 Oct 2024
Kernel Approximation of Fisher-Rao Gradient Flows
Kernel Approximation of Fisher-Rao Gradient Flows
Jia Jie Zhu
Alexander Mielke
155
6
0
27 Oct 2024
MusicFlow: Cascaded Flow Matching for Text Guided Music Generation
MusicFlow: Cascaded Flow Matching for Text Guided Music Generation
K R Prajwal
Bowen Shi
Matthew Lee
Apoorv Vyas
Andros Tjandra
...
Baishan Guo
Huiyu Wang
Triantafyllos Afouras
David Kant
Wei-Ning Hsu
82
5
0
27 Oct 2024
Hamiltonian Score Matching and Generative Flows
Hamiltonian Score Matching and Generative Flows
Peter Holderrieth
Yilun Xu
Tommi Jaakkola
59
0
0
27 Oct 2024
Lodge++: High-quality and Long Dance Generation with Vivid Choreography
  Patterns
Lodge++: High-quality and Long Dance Generation with Vivid Choreography Patterns
Ronghui Li
Hongwen Zhang
Yachao Zhang
Yuxiang Zhang
Youliang Zhang
Jie Guo
Yan Zhang
Xiu Li
Yebin Liu
105
9
0
27 Oct 2024
Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model
Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model
Jing Zhang
Linjiajie Fang
Kexin Shi
Wenjia Wang
Bing-Yi Jing
OffRL
170
0
0
27 Oct 2024
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