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. 1609.05566
  4. Cited By
Label-Free Supervision of Neural Networks with Physics and Domain
  Knowledge

Label-Free Supervision of Neural Networks with Physics and Domain Knowledge

18 September 2016
Russell Stewart
Stefano Ermon
ArXivPDFHTML

Papers citing "Label-Free Supervision of Neural Networks with Physics and Domain Knowledge"

50 / 55 papers shown
Title
A Probabilistic Neuro-symbolic Layer for Algebraic Constraint Satisfaction
A Probabilistic Neuro-symbolic Layer for Algebraic Constraint Satisfaction
Leander Kurscheidt
Paolo Morettin
Roberto Sebastiani
Andrea Passerini
Antonio Vergari
57
0
0
25 Mar 2025
Exploiting T-norms for Deep Learning in Autonomous Driving
Exploiting T-norms for Deep Learning in Autonomous Driving
Mihaela C. Stoian
Eleonora Giunchiglia
Thomas Lukasiewicz
32
7
0
17 Feb 2024
Hybrid Modeling Design Patterns
Hybrid Modeling Design Patterns
Maja Rudolph
Stefan Kurz
Barbara Rakitsch
AI4CE
38
8
0
29 Dec 2023
Neural-Logic Human-Object Interaction Detection
Neural-Logic Human-Object Interaction Detection
Liulei Li
Jianan Wei
Wenguan Wang
Yi Yang
48
16
0
16 Nov 2023
Automating construction contract review using knowledge graph-enhanced large language models
Automating construction contract review using knowledge graph-enhanced large language models
Chunmo Zheng
Saika Wong
Xing Su
Yinqiu Tang
Ahsan Nawaz
Mohamad Kassem
26
2
0
21 Sep 2023
Predicting and explaining nonlinear material response using deep
  Physically Guided Neural Networks with Internal Variables
Predicting and explaining nonlinear material response using deep Physically Guided Neural Networks with Internal Variables
Javier Orera-Echeverria
J. Ayensa-Jiménez
Manuel Doblaré
25
1
0
07 Aug 2023
Geometry-Aware Adaptation for Pretrained Models
Geometry-Aware Adaptation for Pretrained Models
Nicholas Roberts
Xintong Li
Dyah Adila
Sonia Cromp
Tzu-Heng Huang
Jitian Zhao
Frederic Sala
VLM
31
1
0
23 Jul 2023
Label-free timing analysis of SiPM-based modularized detectors with
  physics-constrained deep learning
Label-free timing analysis of SiPM-based modularized detectors with physics-constrained deep learning
P. Ai
L. Xiao
Z. Deng
Yi Wang
Xiangming Sun
Guangming Huang
Dong Wang
Yulei Li
Xinchi Ran
14
2
0
24 Apr 2023
Informed Machine Learning, Centrality, CNN, Relevant Document Detection,
  Repatriation of Indigenous Human Remains
Informed Machine Learning, Centrality, CNN, Relevant Document Detection, Repatriation of Indigenous Human Remains
M. A. Bashar
R. Nayak
G. Knapman
Paul Turnbull
C. Fforde
37
1
0
25 Mar 2023
Deep Occupancy-Predictive Representations for Autonomous Driving
Deep Occupancy-Predictive Representations for Autonomous Driving
Eivind Meyer
Lars Frederik Peiss
Matthias Althoff
37
3
0
07 Mar 2023
DeepSaDe: Learning Neural Networks that Guarantee Domain Constraint
  Satisfaction
DeepSaDe: Learning Neural Networks that Guarantee Domain Constraint Satisfaction
Kshitij Goyal
Sebastijan Dumancic
Hendrik Blockeel
32
2
0
02 Mar 2023
CQnet: convex-geometric interpretation and constraining neural-network
  trajectories
CQnet: convex-geometric interpretation and constraining neural-network trajectories
Bas Peters
35
0
0
09 Feb 2023
Knowledge-augmented Deep Learning and Its Applications: A Survey
Knowledge-augmented Deep Learning and Its Applications: A Survey
Zijun Cui
Tian Gao
Kartik Talamadupula
Qiang Ji
44
18
0
30 Nov 2022
Neural DAEs: Constrained neural networks
Neural DAEs: Constrained neural networks
Tue Boesen
E. Haber
Uri M. Ascher
39
3
0
25 Nov 2022
Robustness of Physics-Informed Neural Networks to Noise in Sensor Data
Robustness of Physics-Informed Neural Networks to Noise in Sensor Data
Jian Cheng Wong
P. Chiu
C. Ooi
My Ha Da
35
3
0
22 Nov 2022
PInKS: Preconditioned Commonsense Inference with Minimal Supervision
PInKS: Preconditioned Commonsense Inference with Minimal Supervision
Ehsan Qasemi
Piyush Khanna
Qiang Ning
Muhao Chen
ReLM
LRM
30
8
0
16 Jun 2022
PromptDA: Label-guided Data Augmentation for Prompt-based Few-shot
  Learners
PromptDA: Label-guided Data Augmentation for Prompt-based Few-shot Learners
Canyu Chen
Kai Shu
VLM
31
8
0
18 May 2022
Neural Implicit Representations for Physical Parameter Inference from a
  Single Video
Neural Implicit Representations for Physical Parameter Inference from a Single Video
Florian Hofherr
Lukas Koestler
Florian Bernard
Daniel Cremers
AI4CE
41
10
0
29 Apr 2022
I Know Therefore I Score: Label-Free Crafting of Scoring Functions using Constraints Based on Domain Expertise
I Know Therefore I Score: Label-Free Crafting of Scoring Functions using Constraints Based on Domain Expertise
Ragja Palakkadavath
S. Sivaprasad
Shirish S. Karande
N. Pedanekar
18
0
0
18 Mar 2022
Knowledge-Integrated Informed AI for National Security
Knowledge-Integrated Informed AI for National Security
Anu Myne
Kevin J. Leahy
Ryan Soklaski
21
0
0
04 Feb 2022
Neural network training under semidefinite constraints
Neural network training under semidefinite constraints
Patricia Pauli
Niklas Funcke
Dennis Gramlich
Mohamed Amine Msalmi
Frank Allgöwer
GAN
18
13
0
03 Jan 2022
Causal Knowledge Guided Societal Event Forecasting
Causal Knowledge Guided Societal Event Forecasting
Songgaojun Deng
Huzefa Rangwala
Yue Ning
AI4TS
32
2
0
10 Dec 2021
SaDe: Learning Models that Provably Satisfy Domain Constraints
SaDe: Learning Models that Provably Satisfy Domain Constraints
Kshitij Goyal
Sebastijan Dumancic
Hendrik Blockeel
ALM
33
5
0
01 Dec 2021
MultiplexNet: Towards Fully Satisfied Logical Constraints in Neural
  Networks
MultiplexNet: Towards Fully Satisfied Logical Constraints in Neural Networks
Nicholas Hoernle
Rafael-Michael Karampatsis
Vaishak Belle
Y. Gal
27
59
0
02 Nov 2021
Constrained Feedforward Neural Network Training via Reachability
  Analysis
Constrained Feedforward Neural Network Training via Reachability Analysis
Long Kiu Chung
Adam Dai
Derek Knowles
Shreyas Kousik
Grace Gao
19
8
0
16 Jul 2021
Improved Surrogate Modeling of Fluid Dynamics with Physics-Informed
  Neural Networks
Improved Surrogate Modeling of Fluid Dynamics with Physics-Informed Neural Networks
Jian Cheng Wong
C. Ooi
P. Chiu
M. Dao
PINN
AI4CE
32
4
0
05 May 2021
Towards a Collective Agenda on AI for Earth Science Data Analysis
Towards a Collective Agenda on AI for Earth Science Data Analysis
D. Tuia
R. Roscher
Jan Dirk Wegner
Nathan Jacobs
Xiaoxiang Zhu
Gustau Camps-Valls
AI4CE
44
68
0
11 Apr 2021
PhyAug: Physics-Directed Data Augmentation for Deep Sensing Model
  Transfer in Cyber-Physical Systems
PhyAug: Physics-Directed Data Augmentation for Deep Sensing Model Transfer in Cyber-Physical Systems
Wenjie Luo
Zhenyu Yan
Qun Song
Rui Tan
26
13
0
31 Mar 2021
Multi-Label Classification Neural Networks with Hard Logical Constraints
Multi-Label Classification Neural Networks with Hard Logical Constraints
Eleonora Giunchiglia
Thomas Lukasiewicz
AILaw
43
43
0
24 Mar 2021
Hybrid Physics and Deep Learning Model for Interpretable Vehicle State
  Prediction
Hybrid Physics and Deep Learning Model for Interpretable Vehicle State Prediction
Alexandra Baier
Zeyd Boukhers
Steffen Staab
23
9
0
11 Mar 2021
Physics-Integrated Variational Autoencoders for Robust and Interpretable
  Generative Modeling
Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling
Naoya Takeishi
Alexandros Kalousis
DRL
AI4CE
35
54
0
25 Feb 2021
LagNetViP: A Lagrangian Neural Network for Video Prediction
LagNetViP: A Lagrangian Neural Network for Video Prediction
Christine Allen-Blanchette
Sushant Veer
Anirudha Majumdar
Naomi Ehrich Leonard
44
30
0
24 Oct 2020
Learning Long-term Visual Dynamics with Region Proposal Interaction
  Networks
Learning Long-term Visual Dynamics with Region Proposal Interaction Networks
Haozhi Qi
Xiaolong Wang
Deepak Pathak
Yi Ma
Jitendra Malik
28
57
0
05 Aug 2020
A Tailored Convolutional Neural Network for Nonlinear Manifold Learning
  of Computational Physics Data using Unstructured Spatial Discretizations
A Tailored Convolutional Neural Network for Nonlinear Manifold Learning of Computational Physics Data using Unstructured Spatial Discretizations
John Tencer
Kevin Potter
AI4CE
18
13
0
11 Jun 2020
Leveraging Multi-Source Weak Social Supervision for Early Detection of
  Fake News
Leveraging Multi-Source Weak Social Supervision for Early Detection of Fake News
Kai Shu
Guoqing Zheng
Yichuan Li
Subhabrata Mukherjee
Ahmed Hassan Awadallah
Scott W. Ruston
Huan Liu
32
54
0
03 Apr 2020
Deep Adaptive Semantic Logic (DASL): Compiling Declarative Knowledge
  into Deep Neural Networks
Deep Adaptive Semantic Logic (DASL): Compiling Declarative Knowledge into Deep Neural Networks
Karan Sikka
Andrew Silberfarb
John Byrnes
Indranil Sur
Edmond Chow
Ajay Divakaran
R. Rohwer
NAI
19
11
0
16 Mar 2020
Physics-Guided Machine Learning for Scientific Discovery: An Application
  in Simulating Lake Temperature Profiles
Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles
X. Jia
J. Willard
Anuj Karpatne
J. Read
Jacob Aaron Zwart
M. Steinbach
Vipin Kumar
AI4CE
PINN
26
207
0
28 Jan 2020
Physics-Guided Architecture (PGA) of Neural Networks for Quantifying
  Uncertainty in Lake Temperature Modeling
Physics-Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modeling
Arka Daw
R. Q. Thomas
C. Carey
J. Read
A. Appling
Anuj Karpatne
AI4CE
23
117
0
06 Nov 2019
Towards Object Detection from Motion
Towards Object Detection from Motion
Rico Jonschkowski
Austin Stone
23
2
0
17 Sep 2019
Robust Regression for Safe Exploration in Control
Robust Regression for Safe Exploration in Control
Anqi Liu
Guanya Shi
Soon-Jo Chung
Anima Anandkumar
Yisong Yue
12
59
0
13 Jun 2019
Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation
  from Video
Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from Video
Miguel Jaques
Michael G. Burke
Timothy M. Hospedales
VGen
PINN
21
45
0
27 May 2019
Informed Machine Learning -- A Taxonomy and Survey of Integrating
  Knowledge into Learning Systems
Informed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning Systems
Laura von Rueden
S. Mayer
Katharina Beckh
B. Georgiev
Sven Giesselbach
...
Rajkumar Ramamurthy
Michal Walczak
Jochen Garcke
Christian Bauckhage
Jannis Schuecker
39
626
0
29 Mar 2019
Deep Shape from Polarization
Deep Shape from Polarization
Yunhao Ba
Alex Ross Gilbert
Franklin Wang
Jinfa Yang
Rui Chen
Yiqin Wang
Lei Yan
Boxin Shi
A. Kadambi
22
14
0
25 Mar 2019
Verification of Non-Linear Specifications for Neural Networks
Verification of Non-Linear Specifications for Neural Networks
Chongli Qin
Krishnamurthy Dvijotham
Dvijotham
Brendan O'Donoghue
Rudy Bunel
Robert Stanforth
Sven Gowal
J. Uesato
G. Swirszcz
Pushmeet Kohli
AAML
14
43
0
25 Feb 2019
Physics-Constrained Deep Learning for High-dimensional Surrogate
  Modeling and Uncertainty Quantification without Labeled Data
Physics-Constrained Deep Learning for High-dimensional Surrogate Modeling and Uncertainty Quantification without Labeled Data
Yinhao Zhu
N. Zabaras
P. Koutsourelakis
P. Perdikaris
PINN
AI4CE
46
854
0
18 Jan 2019
Search-Guided, Lightly-supervised Training of Structured Prediction
  Energy Networks
Search-Guided, Lightly-supervised Training of Structured Prediction Energy Networks
Pedram Rooshenas
Dongxu Zhang
Gopal Sharma
Andrew McCallum
19
10
0
22 Dec 2018
Unsupervised Single Image Deraining with Self-supervised Constraints
Unsupervised Single Image Deraining with Self-supervised Constraints
Xin Jin
Zhibo Chen
Jianxin Lin
Zhikai Chen
Wei Zhou
21
73
0
21 Nov 2018
Learning to Interpret Satellite Images Using Wikipedia
Learning to Interpret Satellite Images Using Wikipedia
Evan Sheehan
Burak Uzkent
Chenlin Meng
Zhongyi Tang
Marshall Burke
David B. Lobell
Stefano Ermon
23
36
0
19 Sep 2018
Small Sample Learning in Big Data Era
Small Sample Learning in Big Data Era
Jun Shu
Zongben Xu
Deyu Meng
29
71
0
14 Aug 2018
Relational inductive bias for physical construction in humans and
  machines
Relational inductive bias for physical construction in humans and machines
Jessica B. Hamrick
Kelsey R. Allen
V. Bapst
Tina Zhu
Kevin R. McKee
J. Tenenbaum
Peter W. Battaglia
39
110
0
04 Jun 2018
12
Next