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[Decorated mortarboard belonging to Kendall Lipinski]
Photograph of a mortarboard cap decorated and worn by Kendall Lipinski in Spring 2025 commencement ceremony
Guide to the Marlene Lipinski Collection
This guide describes the organization and scope of the Marlene Lipinski curated collection, housed within the College Archives and Special Collections at Columbia College Chicago. This collection of books, periodicals, and prints related to the history of typography and graphic design were gathered by Marlene Lipinski, an artist, author, and former Art and Design faculty member at Columbia College Chicago
Dataset in support of the thesis 'Temporal dynamics in emergent communication'
Olaf Lipinski PhD Thesis Dataset/Code
This dataset contains the code bases for every chapter of the thesis, including instructions on how to run them.
The code bases present are:
Code for the Temporal Progression Games - accompanying our paper "Speaking Your Language: Spatial Relationships in Interpretable Emergent Communication". This code allows for analysis of spatial relationships in emergent communication.
Code for the Temporal Referential Games - accompanying our paper "It’s About Time: Temporal References in Emergent Communication". This code provides a new architecture and dataset for Emergent Communication research. We introduce a variant of the well-known referential games, where we include a temporal aspect to the communication. This is done through skewing the target distribution to include target repetitions at random intervals. Through this, we aim to study how and when temporal references can emerge between agents.
Code for the Emergent Communication in Werewolf - accompanying our paper "Emergent Password Signalling in the Game of Werewolf". This code analyses the impact of communication time and voting plurality in Emergent Communication in the game of Werewolf.
Code for emlangkit - A toolkit that aims to collect all metrics currently used in emergent communication research into one place. The usage should be convenient and the inputs should be standardised, to ease adoption and spread of these metrics.
Related publications:
1. Olaf Lipinski, Adam J. Sobey, Federico Cerutti, and Timothy J. Norman. Speaking Your
Language: Spatial Relationships in Interpretable Emergent Communication. In Neural
Information Processing Systems (NeurIPS), December 2024
2. Olaf Lipinski, Adam J. Sobey, Federico Cerutti, and Timothy J. Norman. It’s About Time:
Temporal References in Emergent Communication. In arXiv:2310.06555 (Under review),
October 2023
3. Olaf Lipinski, Adam J. Sobey, Federico Cerutti, and Timothy J. Norman. Emergent Password
Signalling in the Game of Werewolf. In Emergent Communication Workshop at ICLR 2022,
April 2022
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PubChem and ChEMBL Beyond Lipinski
Seven
million of the currently 94 million entries in the PubChem database break at
least one of the four Lipinski constraints for oral bioavailability, 183,185 of
which are also found in the ChEMBL database. These non-Lipinski PubChem (NLP)
and ChEMBL (NLC) subsets are interesting because they contain new modalities
that can display biological properties not accessible to small molecule drugs.
Unfortunately, the current search tools in PubChem and ChEMBL are designed for
small molecules and are not well suited to explore these subsets, which
therefore remain poorly appreciated. Herein we report MXFP (macromolecule
extended atom-pair fingerprint), a 217-D fingerprint
tailored to analyze large molecules in terms of molecular shape and
pharmacophores. We implement MXFP in two web-based applications, the first one
to visualize NLP and NLC interactively using Faerun (http://faerun.gdb.tools/),
the second one to perform MXFP nearest neighbor searches in NLP (http://similaritysearch.gdb.tools/).
We show that these tools provide a meaningful insight into the diversity of
large molecules in NLP and NLC. The interactive tools presented here are
publicly available at http://gdb.unibe.ch and can be used freely to explore and
better understand the diversity of non-Lipinski molecules in PubChem and
ChEMBL.</p
PubChem and ChEMBL Beyond Lipinski
Seven
million of the currently 94 million entries in the PubChem database break at
least one of the four Lipinski constraints for oral bioavailability, 183,185 of
which are also found in the ChEMBL database. These non-Lipinski PubChem (NLP)
and ChEMBL (NLC) subsets are interesting because they contain new modalities
that can display biological properties not accessible to small molecule drugs.
Unfortunately, the current search tools in PubChem and ChEMBL are designed for
small molecules and are not well suited to explore these subsets, which
therefore remain poorly appreciated. Herein we report MXFP (macromolecule
extended atom-pair fingerprint), a 217-D fingerprint
tailored to analyze large molecules in terms of molecular shape and
pharmacophores. We implement MXFP in two web-based applications, the first one
to visualize NLP and NLC interactively using Faerun (http://faerun.gdb.tools/),
the second one to perform MXFP nearest neighbor searches in NLP (http://similaritysearch.gdb.tools/).
We show that these tools provide a meaningful insight into the diversity of
large molecules in NLP and NLC. The interactive tools presented here are
publicly available at http://gdb.unibe.ch and can be used freely to explore and
better understand the diversity of non-Lipinski molecules in PubChem and
ChEMBL.</p
Lipinski query results.
<p>The diagram illustrates the Protégé query tab and the results of executing a Lipinski drug-likeness query on the generated CHEMINF knowledge base.</p
Results of phytochemicals examined for Lipinski rule.
Results of phytochemicals examined for Lipinski rule.</p
Results of inhibitors examined for Lipinski rule.
Results of inhibitors examined for Lipinski rule.</p
Autographen von Karol Lipinski in der Staatsbibliothek zu Berlin
Die Staatsbibliothek zu Berlin, Preußischer Kulturbesitz, Musikabteilung mit Mendelssohn-Archiv, bewahrt einige Autographen von Karol Lipinski auf. Außerdem befinden sich hier zahlreiche Lipinski-Musikdrucke, darunter Erstdrucke mehrerer seiner Werke. Die Lipinski-Sammlung, bisher sehr wenig bekannt und in Musikforschungen nicht genutzt, verdient zweifelsohne Beachtung
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