Sveriges mest populära poddar
Generally Intelligent
Teknologi

Katja Schwarz, MPI-IS: GANs, implicit functions, and 3D scene understanding

51 min•24 februari 2021

Katja Schwartz came to machine learning from physics, and is now working on 3D geometric scene understanding at the Max Planck Institute for Intelligent Systems. Her most recent work, “Generative Radiance Fields for 3D-Aware Image Synthesis,” revealed that radiance fields are a powerful representation for generative image synthesis, leading to 3D consistent models that render with high fidelity.

We discuss the ideas in Katja’s work and more:

🥦 the role 3D generation plays in conceptual understanding

📝 tons of practical tips on GAN training

〰 continuous functions as representations for 3D objects

Fler avsnitt av Generally Intelligent

Visa alla avsnitt av Generally Intelligent
There will be a scientific theory of deep learning
•1 tim 33 min
Malleable software and human agency with Geoffrey Litt
•1 tim 32 min
From lawless spaces to true liberty: rethinking AI's role in society
•1 tim 39 min
Rylan Schaeffer, Stanford: Investigating emergent abilities and challenging dominant research ideas
•1 tim 3 min
Ari Morcos, DatologyAI: Leveraging data to democratize model training
•1 tim 34 min
Percy Liang, Stanford: The paradigm shift and societal effects of foundation models
•1 tim 2 min
Seth Lazar, Australian National University: Legitimate power, moral nuance, and the political philosophy of AI
•1 tim 56 min
Tri Dao, Stanford: FlashAttention and sparsity, quantization, and efficient inference
•1 tim 20 min
Jamie Simon, UC Berkeley: Theoretical principles for how neural networks learn and generalize
•1 tim 2 min
Bill Thompson, UC Berkeley: How cultural evolution shapes knowledge acquisition
•1 tim 15 min

Generally Intelligent med Kanjun Qiu finns tillgänglig på flera plattformar. Informationen på denna sida kommer från offentliga podd-flöden.