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Open Energy Transition<p>Faster models, smarter transitions with an open-source benchmark of <a href="https://mastodon.social/tags/optimization" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>optimization</span></a> <a href="https://mastodon.social/tags/solvers" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>solvers</span></a> from the energy planning domain⚡️<br>Test user James Glynn (ESMA) tried the Open Energy Benchmark. It is mixing open &amp; proprietary solvers with smart filters. Speeds research, drives innovation, boosts competition. </p><p>Thank you for your insights, James.</p><p>🔗 Try it here: <a href="https://openenergybenchmark.org/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">openenergybenchmark.org/</span><span class="invisible"></span></a><br>🔗 Read the whole article here: <a href="https://www.linkedin.com/feed/update/urn:li:activity:7350816973015900161" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">linkedin.com/feed/update/urn:l</span><span class="invisible">i:activity:7350816973015900161</span></a></p><p><a href="https://mastodon.social/tags/EnergyModeling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>EnergyModeling</span></a> <a href="https://mastodon.social/tags/OpenSource" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OpenSource</span></a> <a href="https://mastodon.social/tags/EnergyTransition" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>EnergyTransition</span></a> <a href="https://mastodon.social/tags/Decarbonization" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Decarbonization</span></a></p>
EVSHIFT<p><a href="https://www.evshift.com/316656/from-the-floor-of-lima-engine-plant-problem-solvers-ford/" rel="nofollow noopener" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">evshift.com/316656/from-the-fl</span><span class="invisible">oor-of-lima-engine-plant-problem-solvers-ford/</span></a> From the Floor of Lima Engine Plant | Problem Solvers | Ford <a href="https://channels.im/tags/automobile" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>automobile</span></a> <a href="https://channels.im/tags/car" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>car</span></a> <a href="https://channels.im/tags/ElectricCars" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ElectricCars</span></a> <a href="https://channels.im/tags/ElectricVehicles" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ElectricVehicles</span></a> <a href="https://channels.im/tags/engine" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>engine</span></a> <a href="https://channels.im/tags/EV" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>EV</span></a> <a href="https://channels.im/tags/Floor" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Floor</span></a> <a href="https://channels.im/tags/ford" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ford</span></a> <a href="https://channels.im/tags/FordMotor" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FordMotor</span></a> <a href="https://channels.im/tags/Lima" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Lima</span></a> <a href="https://channels.im/tags/plant" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>plant</span></a> <a href="https://channels.im/tags/problem" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>problem</span></a> <a href="https://channels.im/tags/Solvers" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Solvers</span></a></p>
JMLR<p>'Parallel-in-Time Probabilistic Numerical ODE Solvers', by Nathanael Bosch, Adrien Corenflos, Fatemeh Yaghoobi, Filip Tronarp, Philipp Hennig, Simo Särkkä.</p><p><a href="http://jmlr.org/papers/v25/23-1261.html" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">http://</span><span class="ellipsis">jmlr.org/papers/v25/23-1261.ht</span><span class="invisible">ml</span></a> <br> <br><a href="https://sigmoid.social/tags/kalman" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>kalman</span></a> <a href="https://sigmoid.social/tags/solvers" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>solvers</span></a> <a href="https://sigmoid.social/tags/bayesian" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bayesian</span></a></p>
JMLR<p>'Stable Implementation of Probabilistic ODE Solvers', by Nicholas Krämer, Philipp Hennig.</p><p><a href="http://jmlr.org/papers/v25/20-1423.html" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">http://</span><span class="ellipsis">jmlr.org/papers/v25/20-1423.ht</span><span class="invisible">ml</span></a> <br> <br><a href="https://sigmoid.social/tags/numerical" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>numerical</span></a> <a href="https://sigmoid.social/tags/solvers" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>solvers</span></a> <a href="https://sigmoid.social/tags/odes" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>odes</span></a></p>
Emilia Jarochowska 🇺🇦🌱<p>We've been working on a massive riddle tying together <a href="https://circumstances.run/tags/self" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>self</span></a>-organization, <a href="https://circumstances.run/tags/carbonate" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>carbonate</span></a> <a href="https://circumstances.run/tags/diagenesis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>diagenesis</span></a>, reactive transport, <a href="https://circumstances.run/tags/paleoclimate" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>paleoclimate</span></a> and <a href="https://circumstances.run/tags/Milankovich" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Milankovich</span></a> cycles, and very stiff PDE systems. </p><p>If you've missed the poster at <a href="https://circumstances.run/tags/egu24" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>egu24</span></a>, you can still find it attached to the abstract in the conference program (<a href="https://meetingorganizer.copernicus.org/EGU24/EGU24-16400.html" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">meetingorganizer.copernicus.or</span><span class="invisible">g/EGU24/EGU24-16400.html</span></a>) and on Zenodo <a href="https://zenodo.org/records/10943274" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">zenodo.org/records/10943274</span><span class="invisible"></span></a> If you're into numerical methods, tricky PDEs or other aspects of <a href="https://circumstances.run/tags/modeling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>modeling</span></a>, please see if you have any advice to us 😄 <a href="https://circumstances.run/tags/solvers" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>solvers</span></a> <a href="https://circumstances.run/tags/PDE" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PDE</span></a></p>
JMLR<p>'Multilevel CNNs for Parametric PDEs', by Cosmas Heiß, Ingo Gühring, Martin Eigel.</p><p><a href="http://jmlr.org/papers/v24/23-0421.html" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">http://</span><span class="ellipsis">jmlr.org/papers/v24/23-0421.ht</span><span class="invisible">ml</span></a> <br> <br><a href="https://sigmoid.social/tags/pdes" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>pdes</span></a> <a href="https://sigmoid.social/tags/solvers" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>solvers</span></a> <a href="https://sigmoid.social/tags/deep" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>deep</span></a></p>
JMLR<p>'Scalable Computation of Causal Bounds', by Madhumitha Shridharan, Garud Iyengar.</p><p><a href="http://jmlr.org/papers/v24/22-1081.html" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">http://</span><span class="ellipsis">jmlr.org/papers/v24/22-1081.ht</span><span class="invisible">ml</span></a> <br> <br><a href="https://sigmoid.social/tags/causal" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>causal</span></a> <a href="https://sigmoid.social/tags/confounders" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>confounders</span></a> <a href="https://sigmoid.social/tags/solvers" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>solvers</span></a></p>
lobster 🦞<p><span>Dear Friends of the </span><a href="https://fedia.social/tags/positivemind" rel="nofollow noopener" target="_blank">#positivemind</a><span> set,<br><br>As we gnaw/know the non solutions are easy to drown in. Be swamped by. Be baited by. yuck, muck, ruckus …<br><br>The good, </span><a href="https://fedia.social/tags/useful" rel="nofollow noopener" target="_blank">#useful</a><span>, solving scenario is boring but not for more oil, profit, </span><a href="https://fedia.social/tags/consumption" rel="nofollow noopener" target="_blank">#consumption</a><span> of trivial </span><a href="https://fedia.social/tags/exploitation" rel="nofollow noopener" target="_blank">#exploitation</a><span>.<br><br>… and that dear friends is the secret:<br><br>- ignore the firing squadies<br>- find the </span><a href="https://fedia.social/tags/solvers" rel="nofollow noopener" target="_blank">#solvers</a><span>, be with them </span><a href="https://fedia.social/tags/friendly" rel="nofollow noopener" target="_blank">#friendly</a><span> </span><a href="https://fedia.social/tags/like" rel="nofollow noopener" target="_blank">#like</a><span><br>- be content to </span><a href="https://fedia.social/tags/improvise" rel="nofollow noopener" target="_blank">#improvise</a><span> </span><a href="https://fedia.social/tags/improvement" rel="nofollow noopener" target="_blank">#improvement</a><span><br><br></span><a href="https://www.wwf.org.uk/thingsyoucando" rel="nofollow noopener" target="_blank">https://www.wwf.org.uk/thingsyoucando</a></p>
Constraint Programming 2023<p>4/</p><p>Fourth: Models and Solvers for Dynamic Programming, organised by Chris Beck, Xavier Gillard, Ryo Kuroiwa, Laurent Michel, Pierre Schaus, and Willem van Hoeve.</p><p>Submission deadline: July 10, 2023</p><p><a href="https://sites.google.com/view/dpsolve2023" rel="nofollow noopener" target="_blank"><span class="invisible">https://</span><span class="ellipsis">sites.google.com/view/dpsolve2</span><span class="invisible">023</span></a> </p><p><a href="https://mastodon.acm.org/tags/CP2023" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CP2023</span></a> <a href="https://mastodon.acm.org/tags/DynamicProgramming" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DynamicProgramming</span></a> <a href="https://mastodon.acm.org/tags/CallForPapers" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CallForPapers</span></a> <a href="https://mastodon.acm.org/tags/CP2023conf" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CP2023conf</span></a> <a href="https://mastodon.acm.org/tags/ConstraintProgramming" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ConstraintProgramming</span></a> <a href="https://mastodon.acm.org/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ArtificialIntelligence</span></a> <a href="https://mastodon.acm.org/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://mastodon.acm.org/tags/Solvers" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Solvers</span></a></p>
Constraint Programming 2023<p>2/ Second: PTHG-23, The Sixth Workshop on Progress Towards the Holy Grail, organised by Eugene Freuder, Christian Bessiere, Tias Guns, Ian Miguel, Michela Milano, and Helmut Simonis. </p><p>Submission deadline: 10 days before the CP 2023 conference early registration deadline </p><p><a href="https://freuder.wordpress.com/progress-towards-the-holy-grail-workshops/pthg-23-the-sixth-workshop-on-progress-towards-the-holy-grail/" rel="nofollow noopener" target="_blank"><span class="invisible">https://</span><span class="ellipsis">freuder.wordpress.com/progress</span><span class="invisible">-towards-the-holy-grail-workshops/pthg-23-the-sixth-workshop-on-progress-towards-the-holy-grail/</span></a></p><p><a href="https://mastodon.acm.org/tags/ConstraintProgramming" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ConstraintProgramming</span></a> <a href="https://mastodon.acm.org/tags/CP2023" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CP2023</span></a> <a href="https://mastodon.acm.org/tags/CallForPapers" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CallForPapers</span></a> <a href="https://mastodon.acm.org/tags/AcademicMastodon" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AcademicMastodon</span></a> <a href="https://mastodon.acm.org/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ArtificialIntelligence</span></a> <a href="https://mastodon.acm.org/tags/Solvers" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Solvers</span></a> <a href="https://mastodon.acm.org/tags/CP2023conf" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CP2023conf</span></a> <a href="https://mastodon.acm.org/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a></p>
JMLR<p>'Combinatorial Optimization and Reasoning with Graph Neural Networks', by Quentin Cappart, Didier Chételat, Elias B. Khalil, Andrea Lodi, Christopher Morris, Petar Velickovic.</p><p><a href="http://jmlr.org/papers/v24/21-0449.html" rel="nofollow noopener" target="_blank"><span class="invisible">http://</span><span class="ellipsis">jmlr.org/papers/v24/21-0449.ht</span><span class="invisible">ml</span></a> <br> <br><a href="https://sigmoid.social/tags/graph" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>graph</span></a> <a href="https://sigmoid.social/tags/combinatorial" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>combinatorial</span></a> <a href="https://sigmoid.social/tags/solvers" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>solvers</span></a></p>
Shakthi Kannan<p>4th International Workshop about Sets and Tools (Sets 2023) September 4-8, 2023 Cambridge, UK <a href="https://www.lirmm.fr/sets2023/" rel="nofollow noopener" target="_blank"><span class="invisible">https://www.</span><span class="">lirmm.fr/sets2023/</span><span class="invisible"></span></a> <a href="https://mastodon.social/tags/mathematics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>mathematics</span></a> <a href="https://mastodon.social/tags/sets" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>sets</span></a> <a href="https://mastodon.social/tags/automated" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>automated</span></a> <a href="https://mastodon.social/tags/theorem" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>theorem</span></a> <a href="https://mastodon.social/tags/provers" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>provers</span></a> <a href="https://mastodon.social/tags/coq" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>coq</span></a> <a href="https://mastodon.social/tags/smt" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>smt</span></a> <a href="https://mastodon.social/tags/solvers" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>solvers</span></a></p>
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