Publikationen

Xiaoting Shao; Arseny Skryagin; Wolfgang Stammer; Patrick Schramowski; Kristian Kersting

Right for Better Reasons: Training Differentiable Models by Constraining their Influence Functions

In: Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021. AAAI Conference on Artificial Intelligence (AAAI-2021), Pages 9533-9540, AAAI Press, 2021.

Sophie Burkhardt; Jannis Brugger; Nicolas Wagner; Zahra Ahmadi; Kristian Kersting; Stefan Kramer

Rule Extraction From Binary Neural Networks With Convolutional Rules for Model Validation

In: Frontiers in Artificial Intelligence, Vol. 4, Pages 0-10, Frontiers, 2021.

Plinio Moreno; Alexandre Bernardino; José Santos-Victor; Rodrigo M. M. Ventura; Kristian Kersting

Editorial: Robots that Learn and Reason: Towards Learning Logic Rules from Noisy Data

In: Frontiers in Robotics and AI, Vol. 8, Pages 0-10, Frontiers, 2021.

Nandini Ramanan; Gautam Kunapuli; Tushar Khot; Bahare Fatemi; Seyed Mehran Kazemi; David Poole; Kristian Kersting; Sriraam Natarajan

Structure learning for relational logistic regression: an ensemble approach

In: Data Mining and Knowledge Discovery, Vol. 35, No. 5, Pages 2089-2111, Springer, 2021.

Benjamin Hilprecht; Carsten Binnig

ReStore - Neural Data Completion for Relational Databases

In: Guoliang Li; Zhanhuai Li; Stratos Idreos; Divesh Srivastava (Hrsg.). SIGMOD '21: International Conference on Management of Data, Virtual Event, China, June 20-25, 2021. ACM SIGMOD International Conference on Management of Data (SIGMOD), Pages 710-722, ACM, 2021.

Johannes Wirth; Jaco A. Hofmann; Lasse Thostrup; Carsten Binnig; Andreas Koch

Scalable and Flexible High-Performance In-Network Processing of Hash Joins in Distributed Databases

In: International Conference on Field-Programmable Technology, FPT 2021, Auckland, New Zealand, December 6-10, 2021. International Conference on Field Programmable Technology (FPT), Pages 1-9, IEEE, 2021.

Muhammad El-Hindi; Zheguang Zhao; Carsten Binnig

ACID-V: Towards a New Class of DBMSs for Data Sharing

In: El Kindi Rezig; Vijay Gadepally; Timothy G. Mattson; Michael Stonebraker; Tim Kraska; Fusheng Wang; Gang Luo; Jun Kong; Alevtina Dubovitskaya (Hrsg.). Heterogeneous Data Management, Polystores, and Analytics for Healthcare - VLDB Workshops, Poly 2021 and DMAH 2021, Revised Selected Papers. Workshop on Data Management and Analytics for Medicine and Healthcare and Workshop on Polystore Systems for Heterogeneous Data in Multiple Databases with Privacy and Security Assurances (DMAH/Poly-2021), located at VLDB 2021, August 20, Pages 60-64, Lecture Notes in Computer Science (LNCS), Vol. 12921, ISBN 978-3-030-93663-1, Springer, 2021.

Benjamin Hättasch; Nadja Geisler; Carsten Binnig

Netted?! How to Improve the Usefulness of Spider & Co

In: Omar Alonso; Stefano Marchesin; Marc Najork; Gianmaria Silvello (Hrsg.). Proceedings of the Second International Conference on Design of Experimental Search & Information REtrieval Systems. International Conference on Design of Experimental Search & Information REtrieval Systems (DESIRES), September 15-18, Padova, Italy, Pages 38-43, CEUR Workshop Proceedings, Vol. 2950, CEUR-WS.org, 2021.

Nils Boeschen; Carsten Binnig

GalOP: Towards a GPU-accelerated OLTP DBMS

In: Danica Porobic; Spyros Blanas (Hrsg.). Proceedings of the 17th International Workshop on Data Management on New Hardware, DaMoN 2021, 21 June 2021, Virtual Event, China. International Workshop on Data Management on New Hardware (DaMoN), Pages 9:1-9:3, ACM, 2021.

Tiemo Bang; Norman May; Ilia Petrov; Carsten Binnig

AnyDB: An Architecture-less DBMS for Any Workload

In: 11th Conference on Innovative Data Systems Research, CIDR 2021, Virtual Event, January 11-15, 2021, Online Proceedings. Conference on Innovative Data Systems Research (CIDR), www.cidrdb.org, 2021.