Machine learning books and papers pinned «با عرض سلام مي خواهيم مقاله كنفرانسي با عنوان زير بنويسيم Complex Sig: Complex deep model for signal classification Abstract: The ability to classify signals is an important task that provides the opportunity for many different applications. In the early…»
✨RoboCurate: Harnessing Diversity with Action-Verified Neural Trajectory for Robot Learning
📝 Summary:
RoboCurate enhances synthetic robot learning data by evaluating action quality through simulator replay consistency. It also augments observation diversity via image editing and video transfer techniques. This leads to substantial improvements in robot task success rates compared to using real da...
🔹 Publication Date: Published on Feb 21
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2602.18742
• PDF: https://arxiv.org/pdf/2602.18742
• Project Page: https://seungkukim.github.io/robocurate/
@Machine_learn
📝 Summary:
RoboCurate enhances synthetic robot learning data by evaluating action quality through simulator replay consistency. It also augments observation diversity via image editing and video transfer techniques. This leads to substantial improvements in robot task success rates compared to using real da...
🔹 Publication Date: Published on Feb 21
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2602.18742
• PDF: https://arxiv.org/pdf/2602.18742
• Project Page: https://seungkukim.github.io/robocurate/
@Machine_learn
Papers
با عرض سلام مي خواهيم مقاله كنفرانسي با عنوان زير بنويسيم Complex Sig: Complex deep model for signal classification Abstract: The ability to classify signals is an important task that provides the opportunity for many different applications. In the early…
فقط نفرات ۲ و ۳ از این مقاله باقی موندن...!
Fri, 27 Feb 2026 (showing first 50 of 206 entries )
[1] arXiv:2602.23352 [pdf, html, other]
Stark localization of interacting particles
Wojciech De Roeck, Amirali Hannani, Alessio Lerose, Nathan Vandenbosch
Subjects: Mathematical Physics (math-ph); Disordered Systems and Neural Networks (cond-mat.dis-nn)
[2] arXiv:2602.23350 [pdf, html, other]
A strengthening of the dimensional Brunn-Minkowski conjecture implies the (B)-Conjecture
Sotiris Armeniakos, Jacopo Ulivelli
Comments: Comments are welcome!
Subjects: Functional Analysis (math.FA); Metric Geometry (math.MG)
[3] arXiv:2602.23343 [pdf, html, other]
Cyclic sieving for a class of rectangular domino tableaux
Laura Colmenarejo, Bridget Eileen Tenner, Camryn E. Thompson
Comments: 17 pages
Subjects: Combinatorics (math.CO)
[4] arXiv:2602.23340 [pdf, html, other]
Combinatorial Properties of the Raisonnier Filter
Spyridon Dialiatsis, Yurii Khomskii
Subjects: Logic (math.LO)
[5] arXiv:2602.23326 [pdf, html, other]
Spin Glass Concepts in Computer Science, Statistics, and Learning
Andrea Montanari
Comments: 33 pages; 2 pdf figures
Subjects: Probability (math.PR); Disordered Systems and Neural Networks (cond-mat.dis-nn)
[6] arXiv:2602.23325 [pdf, html, other]
Spanning tight components in 4-uniform hypergraphs
Francesco Di Braccio, Brian Hearn, Joanna Lada, Mihir Neve, Lu-Ming Zhang
Comments: 24 pages, 4 figures
Subjects: Combinatorics (math.CO)
[7] arXiv:2602.23323 [pdf, html, other]
Modeling Large-Scale Adversarial Swarm Engagements using Optimal Control
Claire Walton, Isaac Kaminer, Qi Gong, Abram H. Clark, Theodoros Tsatsanifos
Comments: arXiv admin note: substantial text overlap with arXiv:2108.02311. substantial text overlap with arXiv:2108.02311
Subjects: Optimization and Control (math.OC)
@Machine_learn
[1] arXiv:2602.23352 [pdf, html, other]
Stark localization of interacting particles
Wojciech De Roeck, Amirali Hannani, Alessio Lerose, Nathan Vandenbosch
Subjects: Mathematical Physics (math-ph); Disordered Systems and Neural Networks (cond-mat.dis-nn)
[2] arXiv:2602.23350 [pdf, html, other]
A strengthening of the dimensional Brunn-Minkowski conjecture implies the (B)-Conjecture
Sotiris Armeniakos, Jacopo Ulivelli
Comments: Comments are welcome!
Subjects: Functional Analysis (math.FA); Metric Geometry (math.MG)
[3] arXiv:2602.23343 [pdf, html, other]
Cyclic sieving for a class of rectangular domino tableaux
Laura Colmenarejo, Bridget Eileen Tenner, Camryn E. Thompson
Comments: 17 pages
Subjects: Combinatorics (math.CO)
[4] arXiv:2602.23340 [pdf, html, other]
Combinatorial Properties of the Raisonnier Filter
Spyridon Dialiatsis, Yurii Khomskii
Subjects: Logic (math.LO)
[5] arXiv:2602.23326 [pdf, html, other]
Spin Glass Concepts in Computer Science, Statistics, and Learning
Andrea Montanari
Comments: 33 pages; 2 pdf figures
Subjects: Probability (math.PR); Disordered Systems and Neural Networks (cond-mat.dis-nn)
[6] arXiv:2602.23325 [pdf, html, other]
Spanning tight components in 4-uniform hypergraphs
Francesco Di Braccio, Brian Hearn, Joanna Lada, Mihir Neve, Lu-Ming Zhang
Comments: 24 pages, 4 figures
Subjects: Combinatorics (math.CO)
[7] arXiv:2602.23323 [pdf, html, other]
Modeling Large-Scale Adversarial Swarm Engagements using Optimal Control
Claire Walton, Isaac Kaminer, Qi Gong, Abram H. Clark, Theodoros Tsatsanifos
Comments: arXiv admin note: substantial text overlap with arXiv:2108.02311. substantial text overlap with arXiv:2108.02311
Subjects: Optimization and Control (math.OC)
@Machine_learn
arXiv.org
Stark localization of interacting particles
We consider N interacting quantum particles on a one-dimensional lattice, and subjected to an external linear potential. For N = 1, the corresponding Hamiltonian is explicitly diagonalizable, with...
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با عرض سلام
دوستان اوضاع اصلا جالب نیست و کلا اینترنت نداریم. امیدوارم حالتون خوب باشه و اوضاع بهتر بشه.
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دوستان اوضاع اصلا جالب نیست و کلا اینترنت نداریم. امیدوارم حالتون خوب باشه و اوضاع بهتر بشه.
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Machine learning books and papers pinned «با عرض سلام دوستان اوضاع اصلا جالب نیست و کلا اینترنت نداریم. امیدوارم حالتون خوب باشه و اوضاع بهتر بشه. 🖤»
🔥 Awesome open-source project to learn more about Transformer Models! 🤖✨
We found this interactive website that shows you visually how transformer models work. 🌐📊
Transformer Explainer:
https://poloclub.github.io/transformer-explainer/
@Machine_learn
We found this interactive website that shows you visually how transformer models work. 🌐📊
Transformer Explainer:
https://poloclub.github.io/transformer-explainer/
@Machine_learn
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Forwarded from Machine Learning with Python
Follow the Machine Learning with Python channel on WhatsApp: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
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با عرض سلام یکی از مقالاتمون در حوزه ی wound image classification در ژورنال nature scientific reports ریوایزد خورده و جایگاه های ۲، ۴ و ۵ اش قابل اضافه شدن می باشد. دوستانی که نیاز دارن می تونن جهت ثبت اسم به ایدی بنده پیام بدن
Price
2: 300$
4: 200$
5:150$
@Raminmousa
@Paper4money
@Machine_learn
Price
2: 300$
4: 200$
5:150$
@Raminmousa
@Paper4money
@Machine_learn
Machine learning books and papers pinned «با عرض سلام یکی از مقالاتمون در حوزه ی wound image classification در ژورنال nature scientific reports ریوایزد خورده و جایگاه های ۲، ۴ و ۵ اش قابل اضافه شدن می باشد. دوستانی که نیاز دارن می تونن جهت ثبت اسم به ایدی بنده پیام بدن Price 2: 300$ 4: 200$ 5:150$…»
Machine learning books and papers
با عرض سلام یکی از مقالاتمون در حوزه ی wound image classification در ژورنال nature scientific reports ریوایزد خورده و جایگاه های ۲، ۴ و ۵ اش قابل اضافه شدن می باشد. دوستانی که نیاز دارن می تونن جهت ثبت اسم به ایدی بنده پیام بدن Price 2: 300$ 4: 200$ 5:150$…
تنها ۳ روز تا سابمیت این مقاله باقی مونده....!
Machine learning books and papers pinned «تنها ۳ روز تا سابمیت این مقاله باقی مونده....!»
🎬 ساخت ویدیو
• Sora
• Kling
• Veo
• Seedance
• Lumalabs
🎨 ساخت تصویر
• Google Flow
• Qwen Image
• NanoBanana
• ChatGPT Image
• Grok
🎤 تقلید صدا
• ElevenLabs
• Fish Audio
• Minimax
• Descript
• Respeecher
🧠 تحقیق و کاوش
• ChatGPT
• Gemini
• Perplexity
• NotebookLM
• Deepseek
🗣 ساخت کاراکتر سخنگو
• Heygen
• Synthesia
• D-ID
• Hedra
━━━━━━━━━━━━━━━
🔗 لینک ابزارها:
• ChatGPT → https://chatgpt.com
• Gemini → https://gemini.google.com
• Perplexity → https://perplexity.ai
• Deepseek → https://deepseek.com
• NotebookLM → https://notebooklm.google.com
• Kling → https://klingai.com
• Veo → https://deepmind.google/technologies/veo
• Lumalabs → https://lumalabs.ai
• Sora → https://openai.com/sora
• ElevenLabs → https://elevenlabs.io
• Fish Audio → https://fish.audio
• Descript → https://descript.com
• Heygen → https://heygen.com
• Synthesia → https://synthesia.io
• D-ID → https://d-id.com
https://t.me/Machine_learn
• Sora
• Kling
• Veo
• Seedance
• Lumalabs
🎨 ساخت تصویر
• Google Flow
• Qwen Image
• NanoBanana
• ChatGPT Image
• Grok
🎤 تقلید صدا
• ElevenLabs
• Fish Audio
• Minimax
• Descript
• Respeecher
🧠 تحقیق و کاوش
• ChatGPT
• Gemini
• Perplexity
• NotebookLM
• Deepseek
🗣 ساخت کاراکتر سخنگو
• Heygen
• Synthesia
• D-ID
• Hedra
━━━━━━━━━━━━━━━
🔗 لینک ابزارها:
• ChatGPT → https://chatgpt.com
• Gemini → https://gemini.google.com
• Perplexity → https://perplexity.ai
• Deepseek → https://deepseek.com
• NotebookLM → https://notebooklm.google.com
• Kling → https://klingai.com
• Veo → https://deepmind.google/technologies/veo
• Lumalabs → https://lumalabs.ai
• Sora → https://openai.com/sora
• ElevenLabs → https://elevenlabs.io
• Fish Audio → https://fish.audio
• Descript → https://descript.com
• Heygen → https://heygen.com
• Synthesia → https://synthesia.io
• D-ID → https://d-id.com
https://t.me/Machine_learn
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