https://sites.google.com/site/mircpetrache/home
✨In our NeurIPS 2025 Spotlight paper, we introduce a data-driven framework to answer this question using deep learning, nonlinear control, and differential geometry.🧵⬇️
✨In our NeurIPS 2025 Spotlight paper, we introduce a data-driven framework to answer this question using deep learning, nonlinear control, and differential geometry.🧵⬇️
Chatgpt: "you can quote to them the parts that are clearly generated by ChatGPT, explaining what the correct versions of the statements are [..]"
yeah.. it's called "Human Feedback or Perish"
Chatgpt: "you can quote to them the parts that are clearly generated by ChatGPT, explaining what the correct versions of the statements are [..]"
yeah.. it's called "Human Feedback or Perish"
#visionscience #psychscisky
#visionscience #psychscisky
www.biorxiv.org/content/10.1...
(1/n)
www.biorxiv.org/content/10.1...
(1/n)
Have a look (and maybe click "apply") here mathjobs.org/jobs/list/27...
Have a look (and maybe click "apply") here mathjobs.org/jobs/list/27...
Maths: (a+b)/(c+d)=a/c + b/d is never true for a,b,c,d>0.. first hint to dig deeper
Biology: main sink of C is respiration.. plant+hopper+frass/urea are NOT the only elements in the equation..
Maths: (a+b)/(c+d)=a/c + b/d is never true for a,b,c,d>0.. first hint to dig deeper
Biology: main sink of C is respiration.. plant+hopper+frass/urea are NOT the only elements in the equation..
The fossil fuel folks claimed that all the extra CO2 is great for plants. Indeed, plant mass has increased globally by about 30% in the past century.
But when you load a plant up the carbs, what happens to all its other nutrients?
The fossil fuel folks claimed that all the extra CO2 is great for plants. Indeed, plant mass has increased globally by about 30% in the past century.
But when you load a plant up the carbs, what happens to all its other nutrients?
How can you guide diffusion and flow-based generative models when data is scarce but you have domain knowledge? We introduce Minimum Excess Work, a physics-inspired method for efficiently integrating sparse constraints.
Thread below 👇https://arxiv.org/abs/2505.13375
How can you guide diffusion and flow-based generative models when data is scarce but you have domain knowledge? We introduce Minimum Excess Work, a physics-inspired method for efficiently integrating sparse constraints.
Thread below 👇https://arxiv.org/abs/2505.13375
Our new preprint explores a provocative idea: Small, targeted deviations from this balance may serve a purpose: to encode local error signals for learning.
www.biorxiv.org/content/10.1...
led by @jrbch.bsky.social
Our new preprint explores a provocative idea: Small, targeted deviations from this balance may serve a purpose: to encode local error signals for learning.
www.biorxiv.org/content/10.1...
led by @jrbch.bsky.social
🌐 Website - seva-benchmark.github.io
📜 Paper - arxiv.org/abs/2312.03035
💻 Code + Materials - github.com/cogtoolslab/...
Thread below 🧵-
🌐 Website - seva-benchmark.github.io
📜 Paper - arxiv.org/abs/2312.03035
💻 Code + Materials - github.com/cogtoolslab/...
Thread below 🧵-
On a population of neurons and I can do 2 possible stimulations with equal total intensity and duration:
(1) periodic stimulation, same intensity for all pulses
(2) random stimulation, random intensity
The question: will (1) or (2) elicit more spikes in total?
On a population of neurons and I can do 2 possible stimulations with equal total intensity and duration:
(1) periodic stimulation, same intensity for all pulses
(2) random stimulation, random intensity
The question: will (1) or (2) elicit more spikes in total?
www.swisstopo.admin.ch/en/height-mo...