default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDYuxin Chen 0001
Person information
- affiliation: University of Chicago, Department of Computer Science, IL, USA
- affiliation: California Institute of Technology, Department of Computing & Mathematical Sciences, Pasadena, CA, USA
- affiliation (PhD 2017): ETZ Zurich, Switzerland
Other persons with the same name
- Yuxin Chen (aka: Yu-Xin Chen, Yu-xin Chen) — disambiguation page
- Yuxin Chen 0002
![[0000-0001-9256-5815]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-9256-5815")
— University of Pennsylvania, Wharton School, Philadelphia, PA, USA (and 2 more) - Yuxin Chen 0003 (aka: Yuxin (Jerry) Chen) — Virginia Tech, Digital Library Research Lab, Blacksburg, VA, USA
- Yuxin Chen 0004 — New York University, Leonard N. Stern School of Business, NY, USA (and 1 more)
- Yuxin Chen 0005 — ENSTA ParisTech, Palaiseau, France
Other persons with a similar name
SPARQL queries 
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[c53]Chaoqi Wang, Yuxin Chen, Kevin Murphy:
Model-based Policy Optimization under Approximate Bayesian Inference. AISTATS 2024: 3250-3258- [c52]Chaoqi Wang, Ziyu Ye, Kevin Murphy, Yuxin Chen:
Don't Be Pessimistic Too Early: Look K Steps Ahead! AISTATS 2024: 3313-3321 - [c51]Xuefeng Liu, Takuma Yoneda, Rick Stevens, Matthew R. Walter, Yuxin Chen:
Blending Imitation and Reinforcement Learning for Robust Policy Improvement. ICLR 2024 - [c50]Chaoqi Wang, Yibo Jiang, Chenghao Yang, Han Liu, Yuxin Chen:
Beyond Reverse KL: Generalizing Direct Preference Optimization with Diverse Divergence Constraints. ICLR 2024 - [c49]Renyu Zhang, Aly A. Khan, Yuxin Chen, Robert L. Grossman:
Enhancing Instance-Level Image Classification with Set-Level Labels. ICLR 2024 - [c48]Xuefeng Liu, Fangfang Xia, Rick Stevens, Yuxin Chen:
Contextual Active Model Selection. NeurIPS 2024 - [i47]Zhuokai Zhao, Yibo Jiang, Yuxin Chen:
Direct Acquisition Optimization for Low-Budget Active Learning. CoRR abs/2402.06045 (2024) - [i46]Minbiao Han, Fengxue Zhang, Yuxin Chen:
No-Regret Learning of Nash Equilibrium for Black-Box Games via Gaussian Processes. CoRR abs/2405.08318 (2024) - 2023
- [j2]Niklas Åkerblom, Yuxin Chen, Morteza Haghir Chehreghani:
Online learning of energy consumption for navigation of electric vehicles. Artif. Intell. 317: 103879 (2023) - [c47]Han Liu, Yizhou Tian, Chacha Chen, Shi Feng, Yuxin Chen, Chenhao Tan:
Learning Human-Compatible Representations for Case-Based Decision Support. ICLR 2023 - [c46]Renyu Zhang, Aly A. Khan, Robert L. Grossman, Yuxin Chen:
Scalable Batch-Mode Deep Bayesian Active Learning via Equivalence Class Annealing. ICLR 2023 - [c45]Xuefeng Liu, Takuma Yoneda, Chaoqi Wang, Matthew R. Walter, Yuxin Chen:
Active Policy Improvement from Multiple Black-box Oracles. ICML 2023: 22320-22337 - [c44]Fengxue Zhang, Jialin Song, James C. Bowden, Alexander Ladd, Yisong Yue, Thomas Desautels, Yuxin Chen:
Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation. ICML 2023: 41579-41595 - [c43]Arman Rahbar, Ziyu Ye, Yuxin Chen, Morteza Haghir Chehreghani:
Efficient Online Decision Tree Learning with Active Feature Acquisition. IJCAI 2023: 4163-4171 - [c42]Zhuolin Yang, Yuxin Chen, Zain Sarwar, Hadleigh Schwartz, Ben Y. Zhao, Haitao Zheng:
Towards a General Video-based Keystroke Inference Attack. USENIX Security Symposium 2023: 141-158 - [i45]Han Liu, Yizhou Tian, Chacha Chen, Shi Feng, Yuxin Chen, Chenhao Tan:
Learning Human-Compatible Representations for Case-Based Decision Support. CoRR abs/2303.04809 (2023) - [i44]Arman Rahbar, Ziyu Ye, Yuxin Chen, Morteza Haghir Chehreghani:
Efficient Online Decision Tree Learning with Active Feature Acquisition. CoRR abs/2305.02093 (2023) - [i43]Xuefeng Liu, Takuma Yoneda, Chaoqi Wang, Matthew R. Walter, Yuxin Chen:
Active Policy Improvement from Multiple Black-box Oracles. CoRR abs/2306.10259 (2023) - [i42]Fengxue Zhang, Jialin Song, James C. Bowden, Alexander Ladd, Yisong Yue, Thomas A. Desautels, Yuxin Chen:
Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation. CoRR abs/2307.13371 (2023) - [i41]Chaoqi Wang, Yibo Jiang, Chenghao Yang, Han Liu, Yuxin Chen:
Beyond Reverse KL: Generalizing Direct Preference Optimization with Diverse Divergence Constraints. CoRR abs/2309.16240 (2023) - [i40]Xuefeng Liu, Takuma Yoneda, Rick L. Stevens, Matthew R. Walter, Yuxin Chen:
Blending Imitation and Reinforcement Learning for Robust Policy Improvement. CoRR abs/2310.01737 (2023) - [i39]Fengxue Zhang, Zejie Zhu, Yuxin Chen:
Constrained Bayesian Optimization with Adaptive Active Learning of Unknown Constraints. CoRR abs/2310.08751 (2023) - [i38]Renyu Zhang, Aly A. Khan, Yuxin Chen, Robert L. Grossman:
Enhancing Instance-Level Image Classification with Set-Level Labels. CoRR abs/2311.05659 (2023) - 2022
- [c41]Matteo Guarrera, Baihong Jin, Tung-Wei Lin, Maria A. Zuluaga, Yuxin Chen, Alberto L. Sangiovanni-Vincentelli:
Class-wise Thresholding for Robust Out-of-Distribution Detection. CVPR Workshops 2022: 2836-2845 - [c40]Yuxin Chen:
Optimizing Decision Making via Submodular Surrogates. ISAIM 2022 - [c39]Yuxin Chen, Morteza Haghir Chehreghani:
Trip Prediction by Leveraging Trip Histories from Neighboring Users. ITSC 2022: 967-973 - [c38]Jamar L. Sullivan Jr., William Brackenbury, Andrew McNut, Kevin Bryson, Kwam Byll, Yuxin Chen, Michael L. Littman, Chenhao Tan, Blase Ur:
Explaining Why: How Instructions and User Interfaces Impact Annotator Rationales When Labeling Text Data. NAACL-HLT 2022: 521-531 - [i37]Himabindu Lakkaraju, Dylan Slack, Yuxin Chen, Chenhao Tan, Sameer Singh:
Rethinking Explainability as a Dialogue: A Practitioner's Perspective. CoRR abs/2202.01875 (2022) - [i36]Fengxue Zhang, Brian Nord, Yuxin Chen:
Learning Representation for Bayesian Optimization with Collision-free Regularization. CoRR abs/2203.08656 (2022) - [i35]Xuefeng Liu, Fangfang Xia, Rick L. Stevens, Yuxin Chen:
Cost-Effective Online Contextual Model Selection. CoRR abs/2207.06030 (2022) - 2021
- [c37]Zhe Xu, Yuxin Chen, Ufuk Topcu:
Adaptive Teaching of Temporal Logic Formulas to Preference-based Learners. AAAI 2021: 5061-5068 - [c36]Akash Kumar, Hanqi Zhang, Adish Singla, Yuxin Chen:
The Teaching Dimension of Kernel Perceptron. AISTATS 2021: 2071-2079 - [c35]Yuxin Chen, Zhuolin Yang, Ruben Abbou, Pedro Lopes, Ben Y. Zhao, Haitao Zheng:
User Authentication via Electrical Muscle Stimulation. CHI 2021: 6:1-6:15 - [c34]Yuxin Chen, Zhuolin Yang, Ruben Abbou, Pedro Lopes, Ben Y. Zhao, Haitao Zheng:
Demonstrating User Authentication via Electrical Muscle Stimulation. CHI Extended Abstracts 2021: 191:1-191:5 - [c33]Ayya Alieva, Aiden Aceves, Jialin Song, Stephen Mayo, Yisong Yue, Yuxin Chen:
Learning to Make Decisions via Submodular Regularization. ICLR 2021 - [c32]Ziyu Ye, Yuxin Chen, Haitao Zheng:
Understanding the Effect of Bias in Deep Anomaly Detection. IJCAI 2021: 3314-3320 - [c31]Chaoqi Wang, Adish Singla, Yuxin Chen:
Teaching an Active Learner with Contrastive Examples. NeurIPS 2021: 17968-17980 - [c30]Akash Kumar, Yuxin Chen, Adish Singla:
Teaching via Best-Case Counterexamples in the Learning-with-Equivalence-Queries Paradigm. NeurIPS 2021: 26897-26910 - [i34]Chinmaya Mahesh, Kristin Dona, David W. Miller, Yuxin Chen:
Towards an Interpretable Data-driven Trigger System for High-throughput Physics Facilities. CoRR abs/2104.06622 (2021) - [i33]Ziyu Ye, Yuxin Chen, Haitao Zheng:
Understanding the Effect of Bias in Deep Anomaly Detection. CoRR abs/2105.07346 (2021) - [i32]Chaoqi Wang, Adish Singla, Yuxin Chen:
Teaching an Active Learner with Contrastive Examples. CoRR abs/2110.14888 (2021) - [i31]Matteo Guarrera, Baihong Jin, Tung-Wei Lin, Maria A. Zuluaga, Yuxin Chen, Alberto L. Sangiovanni-Vincentelli:
Class-wise Thresholding for Detecting Out-of-Distribution Data. CoRR abs/2110.15292 (2021) - [i30]Niklas Åkerblom, Yuxin Chen, Morteza Haghir Chehreghani:
Online Learning of Energy Consumption for Navigation of Electric Vehicles. CoRR abs/2111.02314 (2021) - [i29]Renyu Zhang, Aly A. Khan, Robert L. Grossman, Yuxin Chen:
BALanCe: Deep Bayesian Active Learning via Equivalence Class Annealing. CoRR abs/2112.13737 (2021) - 2020
- [c29]Yuxin Chen, Huiying Li, Shan-Yuan Teng, Steven Nagels, Zhijing Li, Pedro Lopes, Ben Y. Zhao, Haitao Zheng:
Wearable Microphone Jamming. CHI 2020: 1-12 - [c28]Yuxin Chen, Huiying Li, Shan-Yuan Teng, Steven Nagels, Zhijing Li, Pedro Lopes, Haitao Zheng, Ben Y. Zhao:
Demonstrating Wearable Microphone Jamming. CHI Extended Abstracts 2020: 1-4 - [c27]Niklas Åkerblom, Yuxin Chen, Morteza Haghir Chehreghani:
An Online Learning Framework for Energy-Efficient Navigation of Electric Vehicles. IJCAI 2020: 2051-2057 - [c26]Rati Devidze, Farnam Mansouri, Luis Haug, Yuxin Chen, Adish Singla:
Understanding the Power and Limitations of Teaching with Imperfect Knowledge. IJCAI 2020: 2647-2654 - [c25]Yanzi Zhu, Zhujun Xiao, Yuxin Chen, Zhijing Li, Max Liu, Ben Y. Zhao, Heather Zheng:
Et Tu Alexa? When Commodity WiFi Devices Turn into Adversarial Motion Sensors. NDSS 2020 - [i28]Zhe Xu, Yuxin Chen, Ufuk Topcu:
Adaptive Teaching of Temporal Logic Formulas to Learners with Preferences. CoRR abs/2001.09956 (2020) - [i27]Niklas Åkerblom, Yuxin Chen, Morteza Haghir Chehreghani:
An Online Learning Framework for Energy-Efficient Navigation of Electric Vehicles. CoRR abs/2003.01416 (2020) - [i26]Rati Devidze, Farnam Mansouri, Luis Haug, Yuxin Chen, Adish Singla:
Understanding the Power and Limitations of Teaching with Imperfect Knowledge. CoRR abs/2003.09712 (2020) - [i25]Akash Kumar, Adish Singla, Yisong Yue, Yuxin Chen:
Average-case Complexity of Teaching Convex Polytopes via Halfspace Queries. CoRR abs/2006.14677 (2020) - [i24]Baihong Jin, Yingshui Tan, Yuxin Chen, Kameshwar Poolla, Alberto L. Sangiovanni-Vincentelli:
Are Ensemble Classifiers Powerful Enough for the Detection and Diagnosis of Intermediate-Severity Faults? CoRR abs/2007.03167 (2020) - [i23]Yingshui Tan, Baihong Jin, Xiangyu Yue, Yuxin Chen, Alberto L. Sangiovanni-Vincentelli:
Exploiting Uncertainties from Ensemble Learners to Improve Decision-Making in Healthcare AI. CoRR abs/2007.06063 (2020) - [i22]Baihong Jin, Yingshui Tan, Albert Liu, Xiangyu Yue, Yuxin Chen, Alberto L. Sangiovanni-Vincentelli:
Using Ensemble Classifiers to Detect Incipient Anomalies. CoRR abs/2008.08710 (2020) - [i21]Farnam Mansouri, Yuxin Chen, Ara Vartanian, Xiaojin Zhu, Adish Singla:
Preference-Based Batch and Sequential Teaching. CoRR abs/2010.10012 (2020) - [i20]Akash Kumar, Hanqi Zhang, Adish Singla, Yuxin Chen:
The Teaching Dimension of Kernel Perceptron. CoRR abs/2010.14043 (2020)
2010 – 2019
- 2019
- [c24]Jialin Song, Yuxin Chen, Yisong Yue:
A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes. AISTATS 2019: 3158-3167 - [c23]Kevin K. Yang, Yuxin Chen, Alycia Lee, Yisong Yue:
Batched Stochastic Bayesian Optimization via Combinatorial Constraints Design. AISTATS 2019: 3410-3419 - [c22]Mohamadreza Ahmadi, Bo Wu, Yuxin Chen, Yisong Yue, Ufuk Topcu:
Barrier Certificates for Assured Machine Teaching. ACC 2019: 3658-3663 - [c21]Yingshui Tan, Baihong Jin, Alexander J. Nettekoven, Yuxin Chen, Yisong Yue, Ufuk Topcu, Alberto L. Sangiovanni-Vincentelli:
An Encoder-Decoder Based Approach for Anomaly Detection with Application in Additive Manufacturing. ICMLA 2019: 1008-1015 - [c20]Baihong Jin, Yuxin Chen, Dan Li, Kameshwar Poolla, Alberto L. Sangiovanni-Vincentelli:
A One-Class Support Vector Machine Calibration Method for Time Series Change Point Detection. ICPHM 2019: 1-5 - [c19]Anette Hunziker, Yuxin Chen, Oisin Mac Aodha, Manuel Gomez Rodriguez, Andreas Krause, Pietro Perona, Yisong Yue, Adish Singla:
Teaching Multiple Concepts to a Forgetful Learner. NeurIPS 2019: 4050-4060 - [c18]Farnam Mansouri, Yuxin Chen, Ara Vartanian, Xiaojin (Jerry) Zhu, Adish Singla:
Preference-Based Batch and Sequential Teaching: Towards a Unified View of Models. NeurIPS 2019: 9195-9205 - [c17]Nikhil Ghosh, Yuxin Chen, Yisong Yue:
Landmark Ordinal Embedding. NeurIPS 2019: 11502-11511 - [i19]Baihong Jin, Yuxin Chen, Dan Li, Kameshwar Poolla, Alberto L. Sangiovanni-Vincentelli:
A One-Class Support Vector Machine Calibration Method for Time Series Change Point Detection. CoRR abs/1902.06361 (2019) - [i18]Kevin K. Yang, Yuxin Chen, Alycia Lee, Yisong Yue:
Batched Stochastic Bayesian Optimization via Combinatorial Constraints Design. CoRR abs/1904.08102 (2019) - [i17]Yuxin Chen, Huiying Li, Steven Nagels, Zhijing Li, Pedro Lopes, Ben Y. Zhao, Haitao Zheng:
Understanding the Effectiveness of Ultrasonic Microphone Jammer. CoRR abs/1904.08490 (2019) - [i16]Baihong Jin, Yingshui Tan, Alexander J. Nettekoven, Yuxin Chen, Ufuk Topcu, Yisong Yue, Alberto L. Sangiovanni-Vincentelli:
An Encoder-Decoder Based Approach for Anomaly Detection with Application in Additive Manufacturing. CoRR abs/1907.11778 (2019) - [i15]Baihong Jin, Yingshui Tan, Yuxin Chen, Alberto L. Sangiovanni-Vincentelli:
Augmenting Monte Carlo Dropout Classification Models with Unsupervised Learning Tasks for Detecting and Diagnosing Out-of-Distribution Faults. CoRR abs/1909.04202 (2019) - [i14]Farnam Mansouri, Yuxin Chen, Ara Vartanian, Xiaojin Zhu, Adish Singla:
Preference-Based Batch and Sequential Teaching: Towards a Unified View of Models. CoRR abs/1910.10944 (2019) - [i13]Nikhil Ghosh, Yuxin Chen, Yisong Yue:
Landmark Ordinal Embedding. CoRR abs/1910.12379 (2019) - 2018
- [c16]Yuxin Chen, Oisin Mac Aodha, Shihan Su, Pietro Perona, Yisong Yue:
Near-Optimal Machine Teaching via Explanatory Teaching Sets. AISTATS 2018: 1970-1978 - [c15]Oisin Mac Aodha, Shihan Su, Yuxin Chen, Pietro Perona, Yisong Yue:
Teaching Categories to Human Learners With Visual Explanations. CVPR 2018: 3820-3828 - [c14]Yuxin Chen, Adish Singla, Oisin Mac Aodha, Pietro Perona, Yisong Yue:
Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners. NeurIPS 2018: 1483-1493 - [i12]Yuxin Chen, Adish Singla, Oisin Mac Aodha, Pietro Perona, Yisong Yue:
Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners. CoRR abs/1802.05190 (2018) - [i11]Oisin Mac Aodha, Shihan Su, Yuxin Chen, Pietro Perona, Yisong Yue:
Teaching Categories to Human Learners with Visual Explanations. CoRR abs/1802.06924 (2018) - [i10]Anette Hunziker, Yuxin Chen, Oisin Mac Aodha, Manuel Gomez-Rodriguez, Andreas Krause, Pietro Perona, Yisong Yue, Adish Singla:
Teaching Multiple Concepts to Forgetful Learners. CoRR abs/1805.08322 (2018) - [i9]Zhujun Xiao, Yanzi Zhu, Yuxin Chen, Ben Y. Zhao, Junchen Jiang, Haitao Zheng:
Seeding Deep Learning using Wireless Localization. CoRR abs/1809.10242 (2018) - [i8]Mohamadreza Ahmadi, Bo Wu, Yuxin Chen, Yisong Yue, Ufuk Topcu:
Barrier Certificates for Assured Machine Teaching. CoRR abs/1810.00093 (2018) - [i7]Yanzi Zhu, Zhujun Xiao, Yuxin Chen, Zhijing Li, Max Liu, Ben Y. Zhao, Haitao Zheng:
Adversarial WiFi Sensing. CoRR abs/1810.10109 (2018) - [i6]Jialin Song, Yuxin Chen, Yisong Yue:
A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes. CoRR abs/1811.00755 (2018) - [i5]Jialin Song, Yury S. Tokpanov, Yuxin Chen, Dagny Fleischman, Kate T. Fountaine, Harry A. Atwater, Yisong Yue:
Optimizing Photonic Nanostructures via Multi-fidelity Gaussian Processes. CoRR abs/1811.07707 (2018) - [i4]Yuxin Chen, Morteza Haghir Chehreghani:
Trip Prediction by Leveraging Trip Histories from Neighboring Users. CoRR abs/1812.10097 (2018) - 2017
- [b1]Yuxin Chen:
Near-optimal Adaptive Information Acquisition: Theory and Applications. ETH Zurich, Zürich, Switzerland, 2017 - [c13]Yuxin Chen, Seyed Hamed Hassani, Andreas Krause:
Near-optimal Bayesian Active Learning with Correlated and Noisy Tests. AISTATS 2017: 223-231 - [c12]Marc Brockschmidt, Yuxin Chen, Pushmeet Kohli, Siddharth Krishna, Daniel Tarlow:
Learning Shape Analysis. SAS 2017: 66-87 - [c11]Yuxin Chen, Jean-Michel Renders, Morteza Haghir Chehreghani, Andreas Krause:
Efficient Online Learning for Optimizing Value of Information: Theory and Application to Interactive Troubleshooting. UAI 2017 - [i3]Yuxin Chen, Jean-Michel Renders, Morteza Haghir Chehreghani, Andreas Krause:
Efficient Online Learning for Optimizing Value of Information: Theory and Application to Interactive Troubleshooting. CoRR abs/1703.05452 (2017) - 2016
- [i2]Yuxin Chen, S. Hamed Hassani, Andreas Krause:
Near-optimal Bayesian Active Learning with Correlated and Noisy Tests. CoRR abs/1605.07334 (2016) - 2015
- [c10]Yuxin Chen, Shervin Javdani, Amin Karbasi, J. Andrew Bagnell, Siddhartha S. Srinivasa, Andreas Krause:
Submodular Surrogates for Value of Information. AAAI 2015: 3511-3518 - [c9]Yuxin Chen, S. Hamed Hassani, Amin Karbasi, Andreas Krause:
Sequential Information Maximization: When is Greedy Near-optimal? COLT 2015: 338-363 - 2014
- [c8]Shervin Javdani, Yuxin Chen, Amin Karbasi, Andreas Krause, Drew Bagnell, Siddhartha S. Srinivasa:
Near Optimal Bayesian Active Learning for Decision Making. AISTATS 2014: 430-438 - [c7]Yuxin Chen, Hiroaki Shioi, Cesar Fuentes Montesinos, Lian Pin Koh, Serge A. Wich, Andreas Krause:
Active Detection via Adaptive Submodularity. ICML 2014: 55-63 - [i1]Shervin Javdani, Yuxin Chen, Amin Karbasi, Andreas Krause, J. Andrew Bagnell, Siddhartha S. Srinivasa:
Near Optimal Bayesian Active Learning for Decision Making. CoRR abs/1402.5886 (2014) - 2013
- [j1]Yuxin Chen, Hariprasad Sampathkumar, Bo Luo, Xue-wen Chen:
iLike: Bridging the Semantic Gap in Vertical Image Search by Integrating Text and Visual Features. IEEE Trans. Knowl. Data Eng. 25(10): 2257-2270 (2013) - [c6]Yuxin Chen, Andreas Krause:
Near-optimal Batch Mode Active Learning and Adaptive Submodular Optimization. ICML (1) 2013: 160-168 - 2012
- [c5]Yuxin Chen, Bo Luo:
S2A: secure smart household appliances. CODASPY 2012: 217-228 - [c4]Yuanliang Meng, Junyan Li, Patrick Denton, Yuxin Chen, Bo Luo, Paul Selden, Xue-wen Chen:
IPKB: a digital library for invertebrate paleontology. JCDL 2012: 101-110 - 2011
- [c3]Yuxin Chen, Brian Potetz, Bo Luo, Xue-wen Chen, Yunfeng Lin:
Cephalometric Landmark Tracing Using Deformable Templates. HISB 2011: 112-119 - [c2]Fengjun Li, Yuxin Chen, Bo Luo, Dongwon Lee, Peng Liu:
Privacy Preserving Group Linkage. SSDBM 2011: 432-450 - 2010
- [c1]Yuxin Chen, Nenghai Yu, Bo Luo, Xue-wen Chen:
iLike: integrating visual and textual features for vertical search. ACM Multimedia 2010: 221-230
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-03-01 15:14 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
