Top Tweets for #GflowNets
September's Papers of the Month is here, and this month is all about LLMs! 🧠
Out of all papers released this month, our editor @robhu92 has curated:
📊 "FlowRL: Matching Reward Distributions for LLM Reasoning“ (review by @samot_gc): A clever usage of #GFlowNets to align an #RL policy model with the *full* reward distribution, encouraging mode coverage
☁️ "Soft Tokens, Hard Truths" (review by @lukehudlass): A simple and scalable method to integrate #continuousthoughts with RL training schemes
🏎️ "Set Block Decoding is a Language Model Inference Accelerator" (review by @douglasahorr): Exactly what it says on the 🥫!
🔁 "Turning Recurring LLM Reasoning into Concise Behaviors" (review by @DobrikG): An improvement to #CoT reasoning, trying to reduce self-repetition via metacognitive reduce
Check out our reviews in the 🧵 below!
A Learning-Based Framework for Fair and Scalable Solution Generation in Kidney Exchange Problems
William St-Arnaud, Margarida Carvalho, Golnoosh Farnadi.
Action editor: Ian Kash.
https://t.co/ZEoZIx5SnL
#flow #gflownets #reinforcement
Researchers developed #GFlowNets, a new method combining high-content imaging and deep learning for accelerated drug discovery. The approach generates molecules with high morphological and structural similarity to target phenotypes.
Quick Read: https://t.co/83zq3YgtX7
#Bioinfo
BIG UPDATE:
✅ I finished my PhD entitled ‘Probabilistic principles for biophysics and neuroscience’
➡️ I now research #structure #learning @VERSESAI
🙌🏼 I currently visit Yoshua #Bengio to learn about #GFlowNets
🚀 An incredible journey lies ahead! 🙏🏻👌🏻
Distributional GFlowNets with Quantile Flows
Dinghuai Zhang, Ling Pan, Ricky T. Q. Chen, Aaron Courville, Yoshua Bengio.
Action editor: Andriy Mnih.
https://t.co/uRG7xHhpTh
#gflownet #gflownets #learns
💡 Excited to share our new work on Generative Flow Networks (GFlowNets): accepted to the @gembioworkshop at ICLR 2024! 🌊🧠 (1/n)
💻 Code + 📜Paper: https://t.co/b0prIx0bm8
#GFlowNets #ICLR
New #ExpertCertification:
Distributional GFlowNets with Quantile Flows
Dinghuai Zhang, Ling Pan, Ricky T. Q. Chen, Aaron Courville, Yoshua Bengio
https://t.co/m8a5VuxfOy
#gflownet #gflownets #learns
En novembre dernier, des chercheurs ont convergé à Mila pour le 1er atelier sur les #GFlowNets, une nouvelle méthode d'apprentissage automatique visant à accélérer la recherche scientifique et à améliorer la transparence des modèles d'#IA.
En savoir plus: https://t.co/A32ZoXdAyP
Last November, researchers from various disciplines gathered at Mila for the first workshop on #GFlowNets, a novel machine learning method that aims to accelerate scientific research and improve the transparency of #AI models. Learn more: https://t.co/5WUXe3VEdp
Great opportunity this week at @Mila_Quebec to learn about GFlowNets in great detail from its creators! #gflownets #workshop
'GFlowNet Foundations', by Yoshua Bengio, Salem Lahlou, Tristan Deleu, Edward J. Hu, Mo Tiwari, Emmanuel Bengio.
https://t.co/7GFlKZxbQ4
#generative #gflownets #flow
Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network
Deleu et al.: https://t.co/YwwayVgmOt
#DeepLearning #GenerativeFlowNetworks #GFlowNets
Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network
Deleu et al.: https://t.co/w5r1OfWxzH
#DeepLearning #GenerativeFlowNetworks #GFlowNets
Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network
Deleu et al.: https://t.co/Malo2ZENYA
#DeepLearning #GenerativeFlowNetworks #GFlowNets
Next up @PabloLemosP tells us about his work with #AI godfather YoshuaBengio on continuous #GflowNets which was only discrete before!
AND
How to predict the planets' movements with #GraphNeuralNetworks.
Felt so lucky today to hear from Yoshua Bengio himself about casual discovery using #GFlowNets @milamontreal
#NCI #CancerAI #ImperfectData
Looking forward to reading this.
#Clone_Structured_Cognitive_Graphs?
@dileeplearning
Experience-dependent plasticity --> self-canalizing #GFlowNets (as source of cognitive schemas?)?
https://t.co/DeNCy91TNz
Just published in @eLife! This work was done with the amazing @neuro_kim @caswellcaswell & supremely talented co-first author @TomNotGeorge! TLDR? There's evidence hippocampus functions like a 'predictive map' - so how might this be achieved in the brain? https://t.co/cqRqapTwnz
Wow, can't believe there are *10* submission about #GFlowNets to ICLR 2023! Glad to see that it is getting people's attention 😀 (As far as I know, most of the submissions are not from our group at mila!)
To what extent can assembly theory both inform and be informed by advances in machine learning (e.g. by modeling construction pathways as kinds of MDPs)?
#GFlowNets
#AssemblyTheory
#ConstructalLaw?
(@constructal)
https://t.co/haHXRvzz3T
Enumerating through potential chemical space expecting to find a drug is a bit like randomly writing letters into a document expecting to find a best selling novel.
Looking for lectures/podcasts on #GFlowNets that summarize the key concepts and applications in ways that balance detail and accessibility. Any recommendations would very much appreciated.
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