default search action
Alessandro Achille
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
- [j5]Kaiwen Gui, Alexander M. Dalzell, Alessandro Achille, Martin Suchara, Frederic T. Chong:
Spacetime-Efficient Low-Depth Quantum State Preparation with Applications. Quantum 8: 1257 (2024) - [c36]Alessandro Achille, Greg Ver Steeg, Tian Yu Liu, Matthew Trager, Carson Klingenberg, Stefano Soatto:
Interpretable Measures of Conceptual Similarity by Complexity-Constrained Descriptive Auto-Encoding. CVPR 2024: 11062-11071 - [c35]Aditya Golatkar, Alessandro Achille, Luca Zancato, Yu-Xiang Wang, Ashwin Swaminathan, Stefano Soatto:
CPR: Retrieval Augmented Generation for Copyright Protection. CVPR 2024: 12374-12384 - [c34]Alessandro Favero, Luca Zancato, Matthew Trager, Siddharth Choudhary, Pramuditha Perera, Alessandro Achille, Ashwin Swaminathan, Stefano Soatto:
Multi-Modal Hallucination Control by Visual Information Grounding. CVPR 2024: 14303-14312 - [c33]Benjamin Biggs, Arjun Seshadri, Yang Zou, Achin Jain, Aditya Golatkar, Yusheng Xie, Alessandro Achille, Ashwin Swaminathan, Stefano Soatto:
Diffusion Soup: Model Merging for Text-to-Image Diffusion Models. ECCV (63) 2024: 257-274 - [c32]Michael Kleinman, Alessandro Achille, Stefano Soatto:
Critical Learning Periods Emerge Even in Deep Linear Networks. ICLR 2024 - [c31]Tian Yu Liu, Matthew Trager, Alessandro Achille, Pramuditha Perera, Luca Zancato, Stefano Soatto:
Meaning Representations from Trajectories in Autoregressive Models. ICLR 2024 - [i55]Alessandro Achille, Greg Ver Steeg, Tian Yu Liu, Matthew Trager, Carson Klingenberg, Stefano Soatto:
Interpretable Measures of Conceptual Similarity by Complexity-Constrained Descriptive Auto-Encoding. CoRR abs/2402.08919 (2024) - [i54]Alessandro Favero, Luca Zancato, Matthew Trager, Siddharth Choudhary, Pramuditha Perera, Alessandro Achille, Ashwin Swaminathan, Stefano Soatto:
Multi-Modal Hallucination Control by Visual Information Grounding. CoRR abs/2403.14003 (2024) - [i53]Aditya Golatkar, Alessandro Achille, Luca Zancato, Yu-Xiang Wang, Ashwin Swaminathan, Stefano Soatto:
CPR: Retrieval Augmented Generation for Copyright Protection. CoRR abs/2403.18920 (2024) - [i52]Benet Oriol Sabat, Alessandro Achille, Matthew Trager, Stefano Soatto:
NeRF-Insert: 3D Local Editing with Multimodal Control Signals. CoRR abs/2404.19204 (2024) - [i51]Xiang Xu, Tianchen Zhao, Zheng Zhang, Zhihua Li, Jon Wu, Alessandro Achille, Mani Srivastava:
Principles of Designing Robust Remote Face Anti-Spoofing Systems. CoRR abs/2406.03684 (2024) - [i50]Benjamin Biggs, Arjun Seshadri, Yang Zou, Achin Jain, Aditya Golatkar, Yusheng Xie, Alessandro Achille, Ashwin Swaminathan, Stefano Soatto:
Diffusion Soup: Model Merging for Text-to-Image Diffusion Models. CoRR abs/2406.08431 (2024) - [i49]Luca Zancato, Arjun Seshadri, Yonatan Dukler, Aditya Golatkar, Yantao Shen, Benjamin Bowman, Matthew Trager, Alessandro Achille, Stefano Soatto:
B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory. CoRR abs/2407.06324 (2024) - [i48]Matthew Trager, Alessandro Achille, Pramuditha Perera, Luca Zancato, Stefano Soatto:
Compositional Structures in Neural Embedding and Interaction Decompositions. CoRR abs/2407.08934 (2024) - 2023
- [c30]Achin Jain, Gurumurthy Swaminathan, Paolo Favaro, Hao Yang, Avinash Ravichandran, Hrayr Harutyunyan, Alessandro Achille, Onkar Dabeer, Bernt Schiele, Ashwin Swaminathan, Stefano Soatto:
A Meta-Learning Approach to Predicting Performance and Data Requirements. CVPR 2023: 3623-3632 - [c29]Benjamin Bowman, Alessandro Achille, Luca Zancato, Matthew Trager, Pramuditha Perera, Giovanni Paolini, Stefano Soatto:
À-la-carte Prompt Tuning (APT): Combining Distinct Data Via Composable Prompting. CVPR 2023: 14984-14993 - [c28]Luca Zancato, Alessandro Achille, Tian Yu Liu, Matthew Trager, Pramuditha Perera, Stefano Soatto:
Train/Test-Time Adaptation with Retrieval. CVPR 2023: 15911-15921 - [c27]Michael Kleinman, Alessandro Achille, Stefano Soatto:
Critical Learning Periods for Multisensory Integration in Deep Networks. CVPR 2023: 24296-24305 - [c26]Matthew Trager, Pramuditha Perera, Luca Zancato, Alessandro Achille, Parminder Bhatia, Stefano Soatto:
Linear Spaces of Meanings: Compositional Structures in Vision-Language Models. ICCV 2023: 15349-15358 - [c25]Yonatan Dukler, Benjamin Bowman, Alessandro Achille, Aditya Golatkar, Ashwin Swaminathan, Stefano Soatto:
SAFE: Machine Unlearning With Shard Graphs. ICCV 2023: 17062-17072 - [c24]Yonatan Dukler, Alessandro Achille, Hao Yang, Varsha Vivek, Luca Zancato, Benjamin Bowman, Avinash Ravichandran, Charless C. Fowlkes, Ashwin Swaminathan, Stefano Soatto:
Your representations are in the network: composable and parallel adaptation for large scale models. NeurIPS 2023 - [c23]Marco Fumero, Florian Wenzel, Luca Zancato, Alessandro Achille, Emanuele Rodolà, Stefano Soatto, Bernhard Schölkopf, Francesco Locatello:
Leveraging sparse and shared feature activations for disentangled representation learning. NeurIPS 2023 - [c22]Michael Kleinman, Alessandro Achille, Stefano Soatto, Jonathan C. Kao:
Gacs-Korner Common Information Variational Autoencoder. NeurIPS 2023 - [i47]Benjamin Bowman, Alessandro Achille, Luca Zancato, Matthew Trager, Pramuditha Perera, Giovanni Paolini, Stefano Soatto:
À-la-carte Prompt Tuning (APT): Combining Distinct Data Via Composable Prompting. CoRR abs/2302.07994 (2023) - [i46]Matthew Trager, Pramuditha Perera, Luca Zancato, Alessandro Achille, Parminder Bhatia, Bing Xiang, Stefano Soatto:
Linear Spaces of Meanings: the Compositional Language of VLMs. CoRR abs/2302.14383 (2023) - [i45]Achin Jain, Gurumurthy Swaminathan, Paolo Favaro, Hao Yang, Avinash Ravichandran, Hrayr Harutyunyan, Alessandro Achille, Onkar Dabeer, Bernt Schiele
, Ashwin Swaminathan, Stefano Soatto:
A Meta-Learning Approach to Predicting Performance and Data Requirements. CoRR abs/2303.01598 (2023) - [i44]Kaiwen Gui, Alexander M. Dalzell, Alessandro Achille, Martin Suchara, Frederic T. Chong:
Spacetime-Efficient Low-Depth Quantum State Preparation with Applications. CoRR abs/2303.02131 (2023) - [i43]Yonatan Dukler, Alessandro Achille, Hao Yang, Varsha Vivek, Luca Zancato, Benjamin Bowman, Avinash Ravichandran, Charless C. Fowlkes, Ashwin Swaminathan, Stefano Soatto:
Introspective Cross-Attention Probing for Lightweight Transfer of Pre-trained Models. CoRR abs/2303.04105 (2023) - [i42]Luca Zancato, Alessandro Achille, Tian Yu Liu, Matthew Trager, Pramuditha Perera, Stefano Soatto:
Train/Test-Time Adaptation with Retrieval. CoRR abs/2303.14333 (2023) - [i41]Alessandro Achille, Michael Kearns, Carson Klingenberg, Stefano Soatto:
AI Model Disgorgement: Methods and Choices. CoRR abs/2304.03545 (2023) - [i40]Marco Fumero, Florian Wenzel, Luca Zancato, Alessandro Achille, Emanuele Rodolà, Stefano Soatto, Bernhard Schölkopf, Francesco Locatello:
Leveraging sparse and shared feature activations for disentangled representation learning. CoRR abs/2304.07939 (2023) - [i39]Yonatan Dukler, Benjamin Bowman, Alessandro Achille, Aditya Golatkar, Ashwin Swaminathan, Stefano Soatto:
SAFE: Machine Unlearning With Shard Graphs. CoRR abs/2304.13169 (2023) - [i38]Pramuditha Perera, Matthew Trager, Luca Zancato, Alessandro Achille, Stefano Soatto:
Prompt Algebra for Task Composition. CoRR abs/2306.00310 (2023) - [i37]Chethan Parameshwara, Alessandro Achille, Matthew Trager, Xiaolong Li, Jiawei Mo, Ashwin Swaminathan, CJ Taylor, Dheera Venkatraman, Xiaohan Fei, Stefano Soatto:
Towards Visual Foundational Models of Physical Scenes. CoRR abs/2306.03727 (2023) - [i36]Aditya Golatkar, Alessandro Achille, Ashwin Swaminathan, Stefano Soatto:
Training Data Protection with Compositional Diffusion Models. CoRR abs/2308.01937 (2023) - [i35]Michael Kleinman, Alessandro Achille, Stefano Soatto:
Critical Learning Periods Emerge Even in Deep Linear Networks. CoRR abs/2308.12221 (2023) - [i34]Tian Yu Liu, Matthew Trager, Alessandro Achille, Pramuditha Perera, Luca Zancato, Stefano Soatto:
Meaning Representations from Trajectories in Autoregressive Models. CoRR abs/2310.18348 (2023) - 2022
- [c21]Matthew Wallingford, Hao Li, Alessandro Achille, Avinash Ravichandran, Charless C. Fowlkes, Rahul Bhotika, Stefano Soatto:
Task Adaptive Parameter Sharing for Multi-Task Learning. CVPR 2022: 7551-7560 - [c20]Aditya Golatkar, Alessandro Achille, Yu-Xiang Wang, Aaron Roth
Mixed Differential Privacy in Computer Vision. CVPR 2022: 8366-8376 - [c19]Yonatan Dukler, Alessandro Achille, Giovanni Paolini, Avinash Ravichandran, Marzia Polito, Stefano Soatto:
DIVA: Dataset Derivative of a Learning Task. ICLR 2022 - [c18]Mohamad Rida Rammal, Alessandro Achille, Aditya Golatkar, Suhas N. Diggavi, Stefano Soatto:
On Leave-One-Out Conditional Mutual Information For Generalization. NeurIPS 2022 - [i33]Luca Zancato, Alessandro Achille, Giovanni Paolini, Alessandro Chiuso, Stefano Soatto:
Stacked Residuals of Dynamic Layers for Time Series Anomaly Detection. CoRR abs/2202.12457 (2022) - [i32]Aditya Golatkar, Alessandro Achille, Yu-Xiang Wang, Aaron Roth, Michael Kearns, Stefano Soatto:
Mixed Differential Privacy in Computer Vision. CoRR abs/2203.11481 (2022) - [i31]Simone Bombari, Alessandro Achille, Zijian Wang, Yu-Xiang Wang, Yusheng Xie, Kunwar Yashraj Singh, Srikar Appalaraju, Vijay Mahadevan, Stefano Soatto:
Towards Differential Relational Privacy and its use in Question Answering. CoRR abs/2203.16701 (2022) - [i30]Matthew Wallingford, Hao Li, Alessandro Achille, Avinash Ravichandran, Charless C. Fowlkes, Rahul Bhotika, Stefano Soatto:
Task Adaptive Parameter Sharing for Multi-Task Learning. CoRR abs/2203.16708 (2022) - [i29]Michael Kleinman, Alessandro Achille, Stefano Soatto, Jonathan C. Kao:
Gacs-Korner Common Information Variational Autoencoder. CoRR abs/2205.12239 (2022) - [i28]Mohamad Rida Rammal, Alessandro Achille, Aditya Golatkar, Suhas N. Diggavi, Stefano Soatto:
On Leave-One-Out Conditional Mutual Information For Generalization. CoRR abs/2207.00581 (2022) - [i27]Alessandro Achille, Stefano Soatto:
On Binding Objects to Symbols: Learning Physical Concepts to Understand Real from Fake. CoRR abs/2207.12186 (2022) - [i26]Michael Kleinman, Alessandro Achille, Stefano Soatto:
Critical Learning Periods for Multisensory Integration in Deep Networks. CoRR abs/2210.04643 (2022) - [i25]Tian Yu Liu, Aditya Golatkar, Stefano Soatto, Alessandro Achille:
Integral Continual Learning Along the Tangent Vector Field of Tasks. CoRR abs/2211.13108 (2022) - 2021
- [j4]Michael Kleinman, Alessandro Achille, Stefano Soatto, Jonathan C. Kao
Redundant Information Neural Estimation. Entropy 23(7): 922 (2021) - [c17]Matteo Terzi, Alessandro Achille, Marco Maggipinto, Gian Antonio Susto:
Adversarial Training Reduces Information and Improves Transferability. AAAI 2021: 2674-2682 - [c16]Aditya Golatkar, Alessandro Achille, Avinash Ravichandran, Marzia Polito, Stefano Soatto:
Mixed-Privacy Forgetting in Deep Networks. CVPR 2021: 792-801 - [c15]Alessandro Achille, Aditya Golatkar, Avinash Ravichandran, Marzia Polito, Stefano Soatto:
LQF: Linear Quadratic Fine-Tuning. CVPR 2021: 15729-15739 - [c14]Kamal Gupta, Justin Lazarow, Alessandro Achille, Larry Davis, Vijay Mahadevan, Abhinav Shrivastava:
LayoutTransformer: Layout Generation and Completion with Self-attention. ICCV 2021: 984-994 - [c13]Hrayr Harutyunyan, Alessandro Achille, Giovanni Paolini, Orchid Majumder, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto:
Estimating informativeness of samples with Smooth Unique Information. ICLR 2021 - [c12]Michael Kleinman, Alessandro Achille, Daksh Idnani, Jonathan C. Kao:
Usable Information and Evolution of Optimal Representations During Training. ICLR 2021 - [c11]Giovanni Paolini, Ben Athiwaratkun, Jason Krone, Jie Ma, Alessandro Achille, Rishita Anubhai, Cícero Nogueira dos Santos, Bing Xiang, Stefano Soatto:
Structured Prediction as Translation between Augmented Natural Languages. ICLR 2021 - [c10]Julian G. Zilly, Alessandro Achille, Andrea Censi, Emilio Frazzoli:
On Plasticity, Invariance, and Mutually Frozen Weights in Sequential Task Learning. NeurIPS 2021: 12386-12399 - [i24]Giovanni Paolini, Ben Athiwaratkun, Jason Krone, Jie Ma, Alessandro Achille, Rishita Anubhai, Cícero Nogueira dos Santos, Bing Xiang, Stefano Soatto:
Structured Prediction as Translation between Augmented Natural Languages. CoRR abs/2101.05779 (2021) - [i23]Hrayr Harutyunyan, Alessandro Achille, Giovanni Paolini, Orchid Majumder, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto:
Estimating informativeness of samples with Smooth Unique Information. CoRR abs/2101.06640 (2021) - [i22]Aditya Deshpande, Alessandro Achille, Avinash Ravichandran, Hao Li, Luca Zancato, Charless C. Fowlkes, Rahul Bhotika, Stefano Soatto, Pietro Perona:
A linearized framework and a new benchmark for model selection for fine-tuning. CoRR abs/2102.00084 (2021) - [i21]Yonatan Dukler, Alessandro Achille, Giovanni Paolini, Avinash Ravichandran, Marzia Polito, Stefano Soatto:
DIVA: Dataset Derivative of a Learning Task. CoRR abs/2111.09785 (2021) - 2020
- [c9]Aditya Golatkar, Alessandro Achille, Stefano Soatto:
Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks. CVPR 2020: 9301-9309 - [c8]Aditya Golatkar, Alessandro Achille, Stefano Soatto:
Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations. ECCV (29) 2020: 383-398 - [c7]Qing Liu, Orchid Majumder, Alessandro Achille, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto:
Incremental Few-Shot Meta-learning via Indirect Discriminant Alignment. ECCV (7) 2020: 685-701 - [c6]Luca Zancato, Alessandro Achille, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto:
Predicting Training Time Without Training. NeurIPS 2020 - [i20]Aditya Golatkar, Alessandro Achille, Stefano Soatto:
Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations. CoRR abs/2003.02960 (2020) - [i19]Kamal Gupta, Alessandro Achille, Justin Lazarow, Larry Davis, Vijay Mahadevan, Abhinav Shrivastava:
Layout Generation and Completion with Self-attention. CoRR abs/2006.14615 (2020) - [i18]Matteo Terzi, Alessandro Achille, Marco Maggipinto, Gian Antonio Susto:
Adversarial Training Reduces Information and Improves Transferability. CoRR abs/2007.11259 (2020) - [i17]Luca Zancato, Alessandro Achille, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto:
Predicting Training Time Without Training. CoRR abs/2008.12478 (2020) - [i16]Michael Kleinman, Daksh Idnani, Alessandro Achille, Jonathan C. Kao:
Usable Information and Evolution of Optimal Representations During Training. CoRR abs/2010.02459 (2020) - [i15]Alessandro Achille, Aditya Golatkar, Avinash Ravichandran, Marzia Polito, Stefano Soatto:
LQF: Linear Quadratic Fine-Tuning. CoRR abs/2012.11140 (2020) - [i14]Aditya Golatkar, Alessandro Achille, Avinash Ravichandran, Marzia Polito, Stefano Soatto:
Mixed-Privacy Forgetting in Deep Networks. CoRR abs/2012.13431 (2020)
2010 – 2019
- 2019
- [b1]Alessandro Achille:
Emergent Properties of Deep Neural Networks. University of California, Los Angeles, USA, 2019 - [c5]Alessandro Achille, Michael Lam, Rahul Tewari, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Stefano Soatto, Pietro Perona:
Task2Vec: Task Embedding for Meta-Learning. ICCV 2019: 6429-6438 - [c4]Alessandro Achille, Matteo Rovere, Stefano Soatto:
Critical Learning Periods in Deep Networks. ICLR (Poster) 2019 - [c3]Aditya Golatkar, Alessandro Achille, Stefano Soatto:
Time Matters in Regularizing Deep Networks: Weight Decay and Data Augmentation Affect Early Learning Dynamics, Matter Little Near Convergence. NeurIPS 2019: 10677-10687 - [i13]Alessandro Achille, Michael Lam, Rahul Tewari, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Stefano Soatto, Pietro Perona:
Task2Vec: Task Embedding for Meta-Learning. CoRR abs/1902.03545 (2019) - [i12]Alessandro Achille, Giovanni Paolini, Glen Mbeng, Stefano Soatto:
The Information Complexity of Learning Tasks, their Structure and their Distance. CoRR abs/1904.03292 (2019) - [i11]Alessandro Achille, Stefano Soatto:
Where is the Information in a Deep Neural Network? CoRR abs/1905.12213 (2019) - [i10]Aditya Golatkar, Alessandro Achille, Stefano Soatto:
Time Matters in Regularizing Deep Networks: Weight Decay and Data Augmentation Affect Early Learning Dynamics, Matter Little Near Convergence. CoRR abs/1905.13277 (2019) - [i9]Cuong V. Nguyen, Alessandro Achille, Michael Lam, Tal Hassner, Vijay Mahadevan, Stefano Soatto:
Toward Understanding Catastrophic Forgetting in Continual Learning. CoRR abs/1908.01091 (2019) - [i8]Aditya Golatkar, Alessandro Achille, Stefano Soatto:
Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks. CoRR abs/1911.04933 (2019) - [i7]Joël Seytre, Jon Wu, Alessandro Achille:
TextTubes for Detecting Curved Text in the Wild. CoRR abs/1912.08990 (2019) - 2018
- [j3]Alessandro Achille, Stefano Soatto:
A Separation Principle for Control in the Age of Deep Learning. Annu. Rev. Control. Robotics Auton. Syst. 1: 287-307 (2018) - [j2]Alessandro Achille, Stefano Soatto:
Emergence of Invariance and Disentanglement in Deep Representations. J. Mach. Learn. Res. 19: 50:1-50:34 (2018) - [j1]Alessandro Achille
Information Dropout: Learning Optimal Representations Through Noisy Computation. IEEE Trans. Pattern Anal. Mach. Intell. 40(12): 2897-2905 (2018) - [c2]Alessandro Achille, Stefano Soatto:
Emergence of Invariance and Disentanglement in Deep Representations. ITA 2018: 1-9 - [c1]Alessandro Achille, Tom Eccles, Loïc Matthey, Christopher P. Burgess, Nicholas Watters, Alexander Lerchner, Irina Higgins:
Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies. NeurIPS 2018: 9895-9905 - [i6]Alessandro Achille, Tom Eccles, Loïc Matthey, Christopher P. Burgess, Nick Watters, Alexander Lerchner, Irina Higgins:
Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies. CoRR abs/1808.06508 (2018) - [i5]Alessandro Achille, Glen Mbeng, Stefano Soatto:
The Dynamics of Differential Learning I: Information-Dynamics and Task Reachability. CoRR abs/1810.02440 (2018) - 2017
- [i4]Alessandro Achille, Stefano Soatto:
On the Emergence of Invariance and Disentangling in Deep Representations. CoRR abs/1706.01350 (2017) - [i3]Alessandro Achille, Stefano Soatto:
A Separation Principle for Control in the Age of Deep Learning. CoRR abs/1711.03321 (2017) - [i2]Alessandro Achille, Matteo Rovere, Stefano Soatto:
Critical Learning Periods in Deep Neural Networks. CoRR abs/1711.08856 (2017) - 2016
- [i1]Alessandro Achille, Stefano Soatto:
Information Dropout: learning optimal representations through noise. CoRR abs/1611.01353 (2016)
Coauthor Index
[c36] [c35] [c34] [c33] [c32] [c31] [i55] [i54] [i53] [i52] [i50] [i49] [i48] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [i47] [i46] [i45] [i43] [i42] [i41] [i40] [i39] [i38] [i37] [i36] [i35] [i34] [c21] [c20] [c19] [c18] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [j4] [c16] [c15] [c13] [c11] [i24] [i23] [i22] [i21] [c9] [c8] [c7] [c6] [i20] [i17] [i15] [i14] [c5] [c4] [c3] [i13] [i12] [i11] [i10] [i9] [i8] [j3] [j2] [j1] [c2] [i5] [i4] [i3] [i2] [i1]
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 2024-12-03 21:19 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: