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Alfredo Canziani

@alfcnz.bsky.social
3.5K followers 94 following 292 posts

Musician, math lover, cook, dancer, 🏳️‍🌈, and an ass prof of Computer Science at New York University

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Alfredo Canziani @alfcnz.bsky.social · 02/07/2025
To compute the movement of the state x(t), we need to temporally integrate its velocity field ẋ(t). 🤓 The control signal steering angle stays at 0, then 0.05π, then linearly to −0.20π. The vehicle moves along circumferences. Finally, a sweep of initial velocity is performed.
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Alfredo Canziani @alfcnz.bsky.social · 30/06/2025
Currently, writing chapter 10, «Planning and control». Physical constrains for the evolution of the state (e.g. pure rotation of the wheels) are encoded through the velocity of the state ẋ = dx(t)/dt, a function of the state x(t) and the control u(t).
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Kosta Derpanis @csprofkgd.bsky.social · 14/06/2025
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Alfredo Canziani @alfcnz.bsky.social · 10/06/2025
Oh! The undergrad feedback came in! 🥹🥹🥹
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Alfredo Canziani @alfcnz.bsky.social · 09/06/2025
Releasing the Energy-Book 🔋 from its first appendix's chapter, where I explain how I create my figures. 🎨 Feel free to report errors via the issues' tracker, contribute to the exercises, and show me what you can draw, via the discussion section. 🥳 github.com/Atcold/Energ...
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Alfredo Canziani @alfcnz.bsky.social · 07/06/2025
On a summer Friday night, the first chapter sees the light. 🥹🥹🥹
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Alfredo Canziani @alfcnz.bsky.social · 29/05/2025
Yeah, it took me 20 days to get back 🥹🥹🥹 I swear I respond to instant messages as they get through! 🥲🥲🥲 Anyhow, one more successful semester completed. 🥳🥳🥳
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Alfredo Canziani @alfcnz.bsky.social · 09/04/2025
In this lecture from my new undergrad course, we review linear multiclass classification, leverage backprop and gradient descent to learn a linearly separable feature vector for the input, and observe the training dynamics in a 2D embedding space. 🤓 youtu.be/saskQ-EjCLQ
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Alfredo Canziani @alfcnz.bsky.social · 08/04/2025
Training of a 2 → 100 → 2 → 5 fully connected ReLU neural net via cross-entropy minimisation. • it starts outputting small embeddings • around epoch 300 learns an identity function • takes 1700 epochs more to unwind the data manifold
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khipu.ai @khipu-ai.bsky.social · 11/03/2025
Did you enjoy Alfredo Canziani's lecture as much as we did?! If so, check out his website to find more about his educational offer: atcold.github.io You can also find really cool material on Alfredo's YouTube channel! @alfcnz.bsky.social
atcold.github.io
Alfredo Canziani
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khipu.ai @khipu-ai.bsky.social · 07/03/2025
📣 A pocos días del comienzo del Khipu 2025, nos complace anunciar que tanto las actividades del salón principal como el acto de clausura del viernes se retransmitirán en directo por este canal: khipu.ai/live/. ¡Los esperamos!
khipu.ai
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Alfredo Canziani @alfcnz.bsky.social · 11/03/2025
I *really* had a blast giving this improvised lecture on a topic requested on the spot without any sleep! 🤪 The audience seemed enjoying the show. 😄 To find more about my educational offer, check out my website! atcold.github.io Follow here and subscribe on YouTube! 😀
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Alfredo Canziani @alfcnz.bsky.social · 11/02/2025
In today's episode, we review the concepts of loss ℒ(𝘄, 𝒟), per-sample loss L(𝘄, x, y), binary cross-entropy cost ℍ(y, ỹ) = y softplus(−s) + (1−y) softplus(s), ỹ = σ(𝘄ᵀ𝗳(x)). Then, we minimised the loss by choosing convenient values for our weight vector 𝘄. @nyucourant.bsky.social
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Alfredo Canziani @alfcnz.bsky.social · 30/01/2025
Tue morning: *prepares slides* Tue class: *improv blackboard lecture* Outcome: unexpectedly great lecture. Thu morning: *prep handwritten notes* Thu class: *executes blackboard lecture* Students: 🤩🤩🤩🤩🤩🤩🤩🤩🤩 @nyucourant.bsky.social @nyudatascience.bsky.social
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Alfredo Canziani @alfcnz.bsky.social · 23/01/2025
I think the new undergrad course is going well. At least we're having fun! 😁😁😁
youtu.be
Cosine (extract from undergrad DLSP25)
YouTube video by Alfredo Canziani (冷在)
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Connor Lindsey @connorlindsey.dev · 20/12/2024
If you're interested in creative coding or simulations, come read The Nature of Code with us! I'm setting up a chill book club to read the book and share projects starting in January. DM me for info!
The Nature of Code paperback book
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Hector Padilla @elhector.bsky.social · 10/12/2024
I was reading about Conway's Game of Life, and this whole amazing book is available online! The Nature of Code - by Daniel Shiffman Thank you @shiffman.net for making it free for the web! People, please consider buying a copy of the book :) natureofcode.com/cellular-aut...
natureofcode.com
7. Cellular Automata
In Chapter 5, I defined a complex system as a network of elements with short-range relationships, operating in parallel, that exhibit emergent behavio
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Alfredo Canziani @alfcnz.bsky.social · 09/01/2025
It takes me weeks to detox from a stressful work mindset and finally sleep in — without waking at dawn, driven by the haste of unfinished tasks. I struggle to turn on my laptop to do any work. When I do restart, the anxiety comes back instantaneously. Is this common? ☹️☹️☹️
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Alfredo Canziani @alfcnz.bsky.social · 07/01/2025
Preparing an “Intro to Deep Learning” blackboard undergraduate course. Number of currently enrolled students: zero. 🥹🥹🥹 Current motivation: very weak.
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Man in Business Suit Levitating @dfeldman.org · 25/12/2024
You’re still arguing about tabs vs. spaces? May I present…
Code written with box characters used on old old software to make fake UIs
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Keenan Crane @keenancrane.bsky.social · 09/12/2024
Entropy is one of those formulas that many of us learn, swallow whole, and even use regularly without really understanding. (E.g., where does that “log” come from? Are there other possible formulas?) Yet there's an intuitive & almost inevitable way to arrive at this expression.
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Alfredo Canziani @alfcnz.bsky.social · 16/12/2024
Vancouver’s cannellés are delicious! 😋 Get one at Granville Island public market!
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Alfredo Canziani @alfcnz.bsky.social · 14/12/2024
DataComp - LM
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Alfredo Canziani @alfcnz.bsky.social · 14/12/2024
UltraPixel: Advancing Ultra-High-Resolution Image Synthesis to New Peaks
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Alfredo Canziani @alfcnz.bsky.social · 14/12/2024
Scalable optimisation in the modular norm. Direct to the point. 😀😀😀
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Alfredo Canziani @alfcnz.bsky.social · 14/12/2024
Scaling continuous latent variable models as probabilistic integral circuits @nolovedeeplearning.bsky.social @gengala
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Heiga Zen (全 炳河) @heigazen.bsky.social · 13/12/2024
1/2: ✨ Google DeepMind Tokyo is growing! ✨ We're building the future of AI with Project Astra. Join my team! We're hiring a Software Engineering Manager to lead the challenge from Japan 🇯🇵 boards.greenhouse.io/deepmind/job... #GoogleDeepMind #AI #Jobs #Tokyo
boards.greenhouse.io
Software Engineering Manager, Multimodal Assistive Agents (Astra) - Japan
Tokyo, Japan
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Alfredo Canziani @alfcnz.bsky.social · 13/12/2024
Me: what’s your poster about? Presenter (P): let me tell you about the theory of constrained optimisation of convex functions. Me: no, what was the goal? P: okay, so the framework of blah and blah has the KKT blah and blah blah blah conditions and… Me: high level, plz.
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Alfredo Canziani @alfcnz.bsky.social · 13/12/2024
Optimization Algorithm Design via Electric Circuits @StephenPBoyd1
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Alfredo Canziani @alfcnz.bsky.social · 13/12/2024
Convolutional Differentiable Logic Gate Networks @FHKPetersen
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Alfredo Canziani @alfcnz.bsky.social · 13/12/2024
An Eye for an Ear: Zero-shot Audio Description Leveraging an Image Captioner using Audiovisual Distribution Alignment
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Alfredo Canziani @alfcnz.bsky.social · 13/12/2024
Outstanding presentation, finally! DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control @jeffacce.bsky.social @lerrelpinto.com
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Alfredo Canziani @alfcnz.bsky.social · 13/12/2024
Meta 3D AssetGen: Text-to-Mesh Generation with High-Quality Geometry, Texture, and PBR Materials
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Alfredo Canziani @alfcnz.bsky.social · 13/12/2024
Universal Neural Functionals @AllanZhou17
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Alfredo Canziani @alfcnz.bsky.social · 13/12/2024
BetterBench: Assessing Al Benchmarks, Uncovering Issues, and Establishing Best Practices @ankareuel.bsky.social
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Alfredo Canziani @alfcnz.bsky.social · 13/12/2024
Hey, @neuripsconf.bsky.social, posters on the penultimate panel side are invisible. 🫥 There’s no light! This is extremely unfair for the presenter! See brightness comparison below. 👇🏻
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Alfredo Canziani @alfcnz.bsky.social · 13/12/2024
Met the twins @roman-bushuiev.bsky.social @anton-bushuiev.bsky.social
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Felix Petersen @petersen.ai · 17/11/2024
If you're excited about #AI with #logic, check out our fully animated video on YouTube: youtu.be/FKQfMwFZvIE
youtu.be
Convolutional Differentiable Logic Gate Networks - NeurIPS Oral - difflogic
YouTube video by Felix Petersen
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Felix Petersen @petersen.ai · 04/12/2024
Have you ever wondered how training dynamics differ between LLMs 🖋️ and Vision 👁️ models? We explore this and close the gap between VMs and LLMs in our #NeurIPS2024 paper "TrAct: Making First-layer Pre-Activations Trainable". Paper link 📜: arxiv.org/abs/2410.23970 Video link 🎥: youtu.be/ZjTAjjxbkRY 🧵
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Felix Petersen @petersen.ai · 17/11/2024
Excited to share our #NeurIPS 2024 Oral, Convolutional Differentiable Logic Gate Networks, leading to a range of inference efficiency records, including inference in only 4 nanoseconds 🏎️. We reduce model sizes by factors of 29x-61x over the SOTA. Paper: arxiv.org/abs/2411.04732
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Alfredo Canziani @alfcnz.bsky.social · 12/12/2024
Neural Concept Binder @WolfStammer
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Alfredo Canziani @alfcnz.bsky.social · 12/12/2024
Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models @tkipf.bsky.social
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Alfredo Canziani @alfcnz.bsky.social · 12/12/2024
TrAct: Making First-layer Pre-Activations Trainable @FHKPetersen
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Alfredo Canziani @alfcnz.bsky.social · 12/12/2024
Generative Boba
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Alfredo Canziani @alfcnz.bsky.social · 12/12/2024
Pink team w/ @jasonweston.bsky.social
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Alfredo Canziani @alfcnz.bsky.social · 12/12/2024
Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics
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Alfredo Canziani @alfcnz.bsky.social · 12/12/2024
MoE Jetpack: From Dense Checkpoints to Adaptive Mixture of Experts for Vision Tasks
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Alfredo Canziani @alfcnz.bsky.social · 12/12/2024
The Practitioner's Guide to Continual Multimodal Pretraining @dziadzio.bsky.social @confusezius.bsky.social @vishaalurao.bsky.social @bayesiankitten.bsky.social
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Alfredo Canziani @alfcnz.bsky.social · 12/12/2024
Segment, Shuffle, and Stitch @Ali_Etemad1
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Alfredo Canziani @alfcnz.bsky.social · 12/12/2024
Newton Losses: Using Curvature Information for Learning with Differentiable Algorithms @FHKPetersen
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