Patricia Vitoria (@vcpatricia) 's Twitter Profile
Patricia Vitoria

@vcpatricia

ML engineer at Apple Zurich. Previously, PhD at UPF.

ID: 308751476

calendar_today31-05-2011 23:09:56

287 Tweet

313 Followers

531 Following

Deep Learning Barcelona Symposium (@dlbcnai) 's Twitter Profile Photo

DLBCN 2022 will be on Monday 19th December at UPC Campus Nord. Calls for talks and posters are open until October 21. sites.google.com/view/dlbcn2022… Submit your work and help Barcelona growing as a deep learning capital. #DLBCN

DLBCN 2022 will be on Monday 19th December at UPC Campus Nord. Calls for talks and posters are open until October 21. 

sites.google.com/view/dlbcn2022…

Submit your work and help Barcelona growing as a deep learning capital. #DLBCN
Patricia Vitoria (@vcpatricia) 's Twitter Profile Photo

Tomorrow at 10am (Tel Aviv Time), I will be presenting our work on Event-based Image Deblurring at #MIPI workshop at #ECCV2022. Don't miss it! 😜

Peyman Milanfar (@docmilanfar) 's Twitter Profile Photo

A quick thread on a ‘simple’ problem: denoising x = u + e Noisy signal = x Clean signal = u Gaussian iid noise = e Two well-known approaches: MAP: Maximum a-posteriori MMSE: Minimum mean square error They don’t coincide, but share several interesting properties 1/4

A quick thread on a ‘simple’ problem: denoising

x = u + e

Noisy signal = x
Clean signal = u
Gaussian iid noise = e

Two well-known approaches:

MAP: Maximum a-posteriori
MMSE: Minimum mean square error

They don’t coincide, but share several interesting properties 

1/4
Andrew Ng (@andrewyng) 's Twitter Profile Photo

New course announcement! Math for Machine Learning and Data Science. Designed to make learning AI's math easy: ∙ Linear algebra ∙ Probability & Stats ∙ Calculus Will help learners build better ML systems and pass job interviews! deeplearning.ai/courses/mathem…

Deep Learning Barcelona Symposium (@dlbcnai) 's Twitter Profile Photo

Adrià Recasens (Adrià Recasens) from @DeepMind presents how to predict the trajectories of football players beyond the camera field of view. #DLBCN nature.com/articles/s4159…

Adrià Recasens (<a href="/arecasens/">Adrià Recasens</a>) from @DeepMind presents how to predict the trajectories of football players beyond the camera field of view. #DLBCN

nature.com/articles/s4159…
Gabriel Peyré (@gabrielpeyre) 's Twitter Profile Photo

The color palette of an image is the 3D empirical distribution of the pixels. Optimal transport allows one to interpolate between palettes. en.wikipedia.org/wiki/Palette_(… optimaltransport.github.io

Aleix M. Martinez (@aleixmmartinez) 's Twitter Profile Photo

We have one more position for a 2023 summer applied science intern. If interested DM me. Amazon Science #Seattle #MachineLearning #ComputerVision #NLP #LLM

We have one more position for a 2023 summer applied science intern. If interested DM me. <a href="/AmazonScience/">Amazon Science</a> #Seattle #MachineLearning #ComputerVision #NLP #LLM
Yann LeCun (@ylecun) 's Twitter Profile Photo

BAAI (Beijing Academy of AI) releases Aquila: a Chinese/English open source LLM with 7B and 33B models. github.com/FlagAI-Open/Fl…

AK (@_akhaliq) 's Twitter Profile Photo

Face0: Instantaneously Conditioning a Text-to-Image Model on a Face paper page: huggingface.co/papers/2306.06… present Face0, a novel way to instantaneously condition a text-to-image generation model on a face, in sample time, without any optimization procedures such as fine-tuning or

Face0: Instantaneously Conditioning a Text-to-Image Model on a Face

paper page: huggingface.co/papers/2306.06…

present Face0, a novel way to instantaneously condition a text-to-image generation model on a face, in sample time, without any optimization procedures such as fine-tuning or
Angjoo Kanazawa (@akanazawa) 's Twitter Profile Photo

Love this problem statement! Reconstruct the world from retinal reflections: world-from-eyes.github.io The original paper from 2004 by Nishino and Nayar was a super inspiring example of creative research for me: cave.cs.columbia.edu/projects/categ… Great to see a 3D version of it!!

Peyman Milanfar (@docmilanfar) 's Twitter Profile Photo

Functions f : ℝⁿ→ℝⁿ of the “pseudo-linear” form f(x) = A(x) x are common. For example: pixel-adaptive filters like non-local means; attention mechanism in transformers; even a convolutional layer with relu nonlinearity Gradient of this f(x) has a form worth remembering:

Functions f : ℝⁿ→ℝⁿ of the “pseudo-linear” form 

f(x) = A(x) x

are common. For example: pixel-adaptive filters like non-local means; attention mechanism in transformers; even a convolutional layer with relu nonlinearity

Gradient of this f(x) has a form worth remembering:
Apple Vision Report (@spatialreport) 's Twitter Profile Photo

Major improvements to Personas come with visionOS 26 - with striking expressivity and sharpness, a full side profile view, and more accurate hair, lashes, and complexion