Explore tweets tagged as #Energy_based_model
Excited to share our @icmlconf paper on scene understanding with generative models!. We formulate scene understanding as inverting the parameters of a compositional generative model, allowing generalization to OOD scenes with many objects at test time.
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With its sharp design, iconic H-shaped front face, and dynamic presence, the #GS3EMZOOM brings bold energy to every city street. *Vehicle specifications may differ based on regional model availability. #GAC #GS3EMZOOM #WhereCraftMeetsTechnology
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🧠 Energy-Based Transformers-a model that can think in all respects: data, depth, parameters, calculation. Works great with any type of data: text, video, sound, 3D, etc.🧠 knows how to generalize - copes with new tasks without training.❌ doesn't need rewards.#DataScience
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Oriana Power👑. The Co. has been awarded ₹209 Cr contract by TANGEDCO for a 50MW/100MWh Battery Energy Storage System (BESS) in Tamil Nadu✨. BOO model under tariff-based bidding.₹27 Cr Viability Gap Funding (VGF).18 month execution timeline.12 Yr revenue stream. #orianapower
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📢 Mumbai-based Prostarm Info Systems to set up a 1.2 GWh BESS manufacturing plant in Jhajjar, #Haryana by FY 2026! 💡⚡ ➡️Investment: ₹250M (~$2.9M) | Location: Reliance Model Economic Township | Boost to India’s energy storage & clean tech sector! 🇮🇳🔋 #EnergyStorage #BESS
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Small plug, not really advertised but we similarly showed how to perform temperature based control and composition of separately trained diffusion models via SMC and the Feynman Kac model formalism, with score distillation of the energy at AISTATS last year. - Diversity control
Why do we keep sampling from the same distribution the model was trained on?. We rethink this old paradigm by introducing Feynman-Kac Correctors (FKCs) – a flexible framework for controlling the distribution of samples at inference time in diffusion models!. Without re-training.
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#ICYMI: Based on a computational model conventionally used for studying query complexity, researchers develop a theoretical framework that quantifies and compares the energy consumption of quantum and classical computation.
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With $Quai & $Qi, @QuaiNetwork vision for financial freedom is inspiring! By combining innovative tech with an energy-based economic model, #QuaiNetwork is paving the way for a decentralized future where individuals can reclaim their financial sovereignty. What a true movement!😁
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