Workshop
Neurosymbolic Generative Models (NeSy-GeMs)
Thiviyan Thanapalasingam · Emile van Krieken · Halley Young · Disha Shrivastava · Kevin Ellis · Jakub Tomczak
AD11
Thu 4 May, 1 a.m. PDT
The Neurosymbolic Generative Models (NeSy-GeMs) workshop at ICLR 2023 aims to bridge the Neurosymbolic AI and Generative Modeling communities, bringing together machine learning, neurosymbolic programming, knowledge representation and reasoning, tractable probabilistic modeling, probabilistic programming, and application researchers to discuss new research directions and define novel open challenges.
Chat is not available.
Timezone: America/Los_Angeles
Schedule
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Thu 1:00 a.m. - 1:15 a.m.
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Opening Remarks
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Opening Remarks
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SlidesLive Video |
Thiviyan Thanapalasingam 🔗 |
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Thu 1:15 a.m. - 2:00 a.m.
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Learning with Discrete Structures and Algorithms
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Invited Talk
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SlidesLive Video |
Mathias Niepert 🔗 |
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Thu 2:00 a.m. - 2:30 a.m.
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Online Spotlight Talk Session 1
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Spotlight Talk
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SlidesLive Video |
Michihiro Yasunaga · Kaustubh Sridhar · Eleonora Misino · Emanuele Sansone · Ziyi Wu 🔗 |
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Thu 2:30 a.m. - 3:00 a.m.
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In-Person Spotlight Talks
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Spotlight Talk
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SlidesLive Video |
Deepak Ramachandran · Karolis Martinkus · Alexey Kovalev · Emile van Krieken 🔗 |
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Thu 3:00 a.m. - 4:30 a.m.
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Lunch Break
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Thu 4:30 a.m. - 5:15 a.m.
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Reflections on a few neurosymbolic approaches to ML4Code in the age of Transformers
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Invited Talk
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link
SlidesLive Video |
Danny Tarlow 🔗 |
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Thu 5:15 a.m. - 6:00 a.m.
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Building AI with neuro-symbolic generative models
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Invited Talk
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link
SlidesLive Video |
Tuan Anh Le 🔗 |
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Thu 6:00 a.m. - 6:40 a.m.
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Online Spotlight Talk Session 2
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Spotlight Talk
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SlidesLive Video |
Pierre-Alexandre Kamienny · Claire Glanois · Yanbo Wang · Christopher Hahn · Connor Pryor · Cedegao Zhang 🔗 |
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Thu 6:40 a.m. - 7:15 a.m.
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Hybrid Poster Session
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Poster Session
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Thu 7:15 a.m. - 7:30 a.m.
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Coffee Break
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Thu 7:30 a.m. - 8:15 a.m.
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Discovering abstractions that bridge perception, action, and communication
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Invited Talk
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SlidesLive Video |
Judith Fan 🔗 |
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Thu 8:15 a.m. - 9:00 a.m.
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AI can learn from data. But can it learn to reason?
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Invited Talk
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SlidesLive Video |
Guy Van den Broeck 🔗 |
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Thu 9:00 a.m. - 9:10 a.m.
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Coffee Break
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Thu 9:10 a.m. - 9:55 a.m.
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Panel Discussion
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Panel Discussion
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SlidesLive Video |
Kevin Ellis · Guy Van den Broeck · Judith Fan · Danny Tarlow 🔗 |
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Thu 9:55 a.m. - 10:00 a.m.
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Closing Remarks
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Closing Remarks
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SlidesLive Video |
Thiviyan Thanapalasingam 🔗 |
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[Remote Poster] Open-Ended Dreamer: An Unsupervised Diversity-Oriented Neurosymbolic Learner ( Poster ) > link | Claire Glanois · Shyam Sudhakaran · Elias Najarro · Sebastian Risi 🔗 |
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[Remote poster] Grounded physical language understanding with probabilistic programs and simulated worlds ( Poster ) > link | Cedegao Zhang · Catherine Wong · Gabriel Grand · Joshua B Tenenbaum 🔗 |
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[Remote poster] Guaranteed Conformance of Neurosymbolic Dynamics Models to Natural Constraints ( Poster ) > link | Kaustubh Sridhar · Souradeep Dutta · James Weimer · Insup Lee 🔗 |
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Discovering Graph Generation Algorithms ( Poster ) > link | Mihai Babiac · Karolis Martinkus · Roger Wattenhofer 🔗 |
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[Remote poster] Using Domain Knowledge to Guide Dialog Structure Induction via Neural Probabilistic Soft Logic ( Poster ) > link | Connor Pryor · Quan Yuan · Jeremiah Zhe Liu · Seyed Mehran Kazemi · Deepak Ramachandran · Tania Bedrax-Weiss · Lise Getoor 🔗 |
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[Remote poster] Generating Temporal Logical Formulas with Transformer GANs ( Poster ) > link | Jens U Kreber · Christopher Hahn 🔗 |
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Symbolic Disentangled Representations in Hyperdimensional Latent Space ( Poster ) > link | Alexandr Korchemnyi · Alexey Kovalev · Aleksandr Panov 🔗 |
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[Remote poster] Learning Symbolic Representations Through Joint GEnerative and DIscriminative Training ( Poster ) > link | Emanuele Sansone · Robin Manhaeve 🔗 |
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[Remote poster] Slot-VAE: Slot Attention enables Object-Centric Scene Generation ( Poster ) > link | Yanbo Wang · Letao Liu · Justin Dauwels 🔗 |
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[Remote Poster] VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming ( Poster ) > link | Eleonora Misino · Giuseppe Marra · Emanuele Sansone 🔗 |
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A-NeSI: A Scalable Approximate Method for Probabilistic Neurosymbolic Inference ( Poster ) > link | Emile van Krieken · Thiviyan Thanapalasingam · Jakub Tomczak · Frank van Harmelen · Annette ten Teije 🔗 |
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[Remote poster] Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search ( Poster ) > link | Pierre-Alexandre Kamienny · Guillaume Lample · sylvain lamprier · Marco Virgolin 🔗 |
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LAMBADA: Backward Chaining for Automated Reasoning in Natural Language ( Poster ) > link | Seyed Mehran Kazemi · Najoung Kim · Deepti Bhatia · Xin Xu · Deepak Ramachandran 🔗 |
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[Remote poster] SlotDiffusion: Unsupervised Object-Centric Learning with Diffusion Models ( Poster ) > link | Ziyi Wu · Jingyu Hu · Wuyue Lu · Igor Gilitschenski · Animesh Garg 🔗 |
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[Remote poster] Deep Bidirectional Language-Knowledge Graph Pretraining ( Poster ) > link | Michihiro Yasunaga · Antoine Bosselut · Hongyu Ren · Xikun Zhang · Christopher Manning · Percy Liang · Jure Leskovec 🔗 |