I’m a research scientist at OpenAI working on generative models and unsupervised learning. Previously, I was an undergrad at MIT studying computers, math and physics. I’m from Pune and currently live in San Francisco. My name sounds like truffle, but with a P.
Publications
Generative Models
Improved techniques for training consistency models |
DALL·E 3: Improving image generation with better captions |
Consistency Models |
Point·E: A System for Generating 3D Point Clouds from Complex Prompts |
DALL·E 2: Hierarchical Text-Conditional Image Generation with CLIP Latents |
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models |
Diffusion Models Beat GANs on Image Synthesis |
Improved Denoising Diffusion Probabilistic Models |
Jukebox: A Generative Model for Music |
Glow: Generative Flow with Invertible 1x1 Convolutions
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Variational Lossy Autoencoder |
Unsupervised Learning
Language Models are Few-Shot Learners |
Generative Pretraining from Pixels
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Scaling Laws
Scaling Laws for Autoregressive Generative Modeling
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Theorem Proving
Gamepad: A Learning Environment for Theorem Proving
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Reinforcement Learning
Proximal Policy Optimization Algorithms
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Parameter Space Noise for Exploration |
OpenAI Baselines |
Quantum Complexity
Improved Quantum Query Complexity Bounds for Some Graph Problems |