[CfP] KR 2026 Special track: KR meets Machine Learning and Explanation

--_000_CWXP265MB3461C769C132F6C7D2555B83EDAAACWXP265MB3461GBRP_
Content-Type: text/plain; charset="Windows-1252"
Content-Transfer-Encoding: quoted-printable

################################################################
KR 2026 Special track: KR meets Machine Learning and Explanation
Call for Papers
################################################################
23rd International Conference on Principles of Knowledge Representation and=
 Reasoning
https://kr.org/KR2026/

Machine learning (ML) has seen groundbreaking advancements across countless=
 tasks in recent years, not least with the ongoing development and widespre=
ad deployment of large language models (LLMs). Concurrently, with this incr=
ease in both power and scope, it has become increasingly important that AI =
models are designed to be supplemented with explanations such that their ou=
tputs can be assessed, understood and modified if necessary. Meanwhile, the=
 field of KR presents an excellent repertoire of technologies for leveragin=
g knowledge in both ML and explanation pipelines. This special track thus a=
ims to focus on the synergistic interactions between KR and these complemen=
tary fields of ML and explanation.

We welcome contributions that extend the state-of-the-art at the intersecti=
on of KR with either of the fields mentioned above. With regards to explana=
tion, contributions that use KR in the explanation of AI models, or that ex=
plain numeric and/or symbolic models themselves, are welcomed. From the ML =
side, these may also include the use of KR methods for solving ML challenge=
s, the use of ML methods for solving KR challenges or the integration of le=
arning and reasoning towards better modelling, solving or explaining in dif=
ferent tasks. Papers focusing on evaluation protocols and benchmarking of t=
hese hybrid solutions will be also welcome.

################################################################
Important Dates
################################################################

Submission of title and abstract: February 12, 2026
Paper submission deadline: February 19, 2026
Author response period: March 24-28, 2026
Notification of acceptance: April 13, 2026
Camera-ready due: May 3, 2026

################################################################
Topics of Interest
################################################################

We welcome papers on a wide range of topics where KR is a key component, in=
cluding (but not limited to):

Learning symbolic knowledge, such as ontologies and knowledge graphs, actio=
n theories, commonsense knowledge, spatial and temporal theories, preferenc=
e models and causal models
KR, ML and reasoning in the computation, synthesis, analysis, verification,=
 reuse, and repair of plans
Logic-based, logical and relational learning algorithms
ML-driven reasoning algorithms
Neural-symbolic learning
Statistical relational learning and KR
Symbolic reinforcement learning
The use of KR techniques for supplementing or evaluating LLMs
LLMs for supporting KR-driven methods
Knowledge-driven natural language understanding and dialogue
Learning symbolic abstractions from unstructured data
Expressive power of learning representations and explanations
Knowledge-driven decision making and explanations
Combining discrete and continuous, quantitative and qualitative, logical an=
d probabilistic representations and reasoning methods (e.g., task planning =
with motion planning) with explanations
Architectures that combine data-driven techniques and formal reasoning
KR-driven Explainable AI
Interpretable ML models intertwined with KR
Combining KR and ML for enhanced explainability
Theoretical frameworks for explainability within KR and logic-based systems
Explainability in dynamic and temporal knowledge representation
Scalable approaches for real-time explainable reasoning using KR and ML
Evaluation protocols, metrics, and benchmarks for assessing the quality and=
 clarity of explanations
Interactive and adaptive explanation frameworks using ML and KR
Personalisation of explanations through contextual KR, ML and user feedback
Identifying and mitigating systemic biases in AI explanations through KR
Hands-on tools and open-source libraries for explanations in real-world set=
tings

################################################################
Types of Submissions
################################################################

Submissions to the special track can be either of the following types of te=
chnical contributions:

Long papers (9 pages excluding references)
Short papers (4 pages excluding references)

Both kinds of papers must be prepared and submitted according to the author=
 guidelines on the submission page before the deadline (more information ab=
out submissions will be available in due course at https://kr.org/KR2026/su=
bmission.html). These papers must fall into the intersection of KR and eith=
er ML or explanation, or both. Papers not meeting this criterion will be id=
entified before the actual reviewing process and will be desk-rejected.

Selected authors will be given the option to showcase their work in the Dem=
o Track alongside their regular presentation slot in a session of the track=
.

################################################################
Inquiries
################################################################

Inquiries should be sent by email to [email protected] and will be h=
andled by the KR meets Machine Learning and Explanation Track chairs:

Claudia d=92Amato, University of Bari, Italy
Ute Schmid, University of Bamberg, Germany
Antonio Rago, King=92s College London, UK

--_000_CWXP265MB3461C769C132F6C7D2555B83EDAAACWXP265MB3461GBRP_
Content-Type: text/html; charset="Windows-1252"
Content-Transfer-Encoding: quoted-printable

<html>
<head>
<meta http-equiv=3D"Content-Type" content=3D"text/html; charset=3DWindows-1=
252">
<style type=3D"text/css" style=3D"display:none;"> P {margin-top:0;margin-bo=
ttom:0;} </style>
</head>
<body dir=3D"ltr">
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">
################################################################</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
KR 2026 Special track: KR meets Machine Learning and Explanation</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
Call for Papers</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
################################################################</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
23rd International Conference on Principles of Knowledge Representation and=
 Reasoning</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
https://kr.org/KR2026/</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
<br>
</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
Machine learning (ML) has seen groundbreaking advancements across countless=
 tasks in recent years, not least with the ongoing development and widespre=
ad deployment of large language models (LLMs). Concurrently, with this incr=
ease in both power and scope, it
 has become increasingly important that AI models are designed to be supple=
mented with explanations such that their outputs can be assessed, understoo=
d and modified if necessary. Meanwhile, the field of KR presents an excelle=
nt repertoire of technologies for
 leveraging knowledge in both ML and explanation pipelines. This special tr=
ack thus aims to focus on the synergistic interactions between KR and these=
 complementary fields of ML and explanation.</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
<br>
</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
We welcome contributions that extend the state-of-the-art at the intersecti=
on of KR with either of the fields mentioned above. With regards to explana=
tion, contributions that use KR in the explanation of AI models, or that ex=
plain numeric and/or symbolic models
 themselves, are welcomed. From the ML side, these may also include the use=
 of KR methods for solving ML challenges, the use of ML methods for solving=
 KR challenges or the integration of learning and reasoning towards better =
modelling, solving or explaining
 in different tasks. Papers focusing on evaluation protocols and benchmarki=
ng of these hybrid solutions will be also welcome.</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
<br>
</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
################################################################</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
Important Dates</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
################################################################</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
<br>
</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
Submission of title and abstract: February 12, 2026</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
Paper submission deadline: February 19, 2026</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
Author response period: March 24-28, 2026</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
Notification of acceptance: April 13, 2026</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
Camera-ready due: May 3, 2026</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
<br>
</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
################################################################</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
Topics of Interest</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
################################################################</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
<br>
</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
We welcome papers on a wide range of topics where KR is a key component, in=
cluding (but not limited to):</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
<br>
</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
Learning symbolic knowledge, such as ontologies and knowledge graphs, actio=
n theories, commonsense knowledge, spatial and temporal theories, preferenc=
e models and causal models</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
KR, ML and reasoning in the computation, synthesis, analysis, verification,=
 reuse, and repair of plans</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
Logic-based, logical and relational learning algorithms</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
ML-driven reasoning algorithms</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
Neural-symbolic learning</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
Statistical relational learning and KR</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
Symbolic reinforcement learning</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
The use of KR techniques for supplementing or evaluating LLMs</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
LLMs for supporting KR-driven methods</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
Knowledge-driven natural language understanding and dialogue</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
Learning symbolic abstractions from unstructured data</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
Expressive power of learning representations and explanations</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
Knowledge-driven decision making and explanations</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
Combining discrete and continuous, quantitative and qualitative, logical an=
d probabilistic representations and reasoning methods (e.g., task planning =
with motion planning) with explanations</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
Architectures that combine data-driven techniques and formal reasoning</div=
>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
KR-driven Explainable AI</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
Interpretable ML models intertwined with KR</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
Combining KR and ML for enhanced explainability</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
Theoretical frameworks for explainability within KR and logic-based systems=
</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
Explainability in dynamic and temporal knowledge representation</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
Scalable approaches for real-time explainable reasoning using KR and ML</di=
v>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
Evaluation protocols, metrics, and benchmarks for assessing the quality and=
 clarity of explanations</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
Interactive and adaptive explanation frameworks using ML and KR</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
Personalisation of explanations through contextual KR, ML and user feedback=
</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
Identifying and mitigating systemic biases in AI explanations through KR</d=
iv>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
Hands-on tools and open-source libraries for explanations in real-world set=
tings</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
<br>
</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
################################################################</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
Types of Submissions</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
################################################################</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
<br>
</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
Submissions to the special track can be either of the following types of te=
chnical contributions:</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
<br>
</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
Long papers (9 pages excluding references)</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
Short papers (4 pages excluding references)</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
<br>
</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
Both kinds of papers must be prepared and submitted according to the author=
 guidelines on the submission page before the deadline (more information ab=
out submissions will be available in due course at https://kr.org/KR2026/su=
bmission.html). These papers must
 fall into the intersection of KR and either ML or explanation, or both. Pa=
pers not meeting this criterion will be identified before the actual review=
ing process and will be desk-rejected.</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
<br>
</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
Selected authors will be given the option to showcase their work in the Dem=
o Track alongside their regular presentation slot in a session of the track=
.</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
<br>
</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
################################################################</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
Inquiries</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
################################################################</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
<br>
</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
Inquiries should be sent by email to [email protected] and will be h=
andled by the KR meets Machine Learning and Explanation Track chairs:</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
<br>
</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
Claudia d=92Amato, University of Bari, Italy</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
Ute Schmid, University of Bamberg, Germany</div>
<div style=3D"font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, =
Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);" clas=
s=3D"elementToProof">
Antonio Rago, King=92s College London, UK</div>
</body>
</html>

--_000_CWXP265MB3461C769C132F6C7D2555B83EDAAACWXP265MB3461GBRP_--