Gabriel Mongaras

Attending to Topological Spaces: The Cellular Transformer 42:25
Attending to Topological Spaces: The Cellular Transformer Gabriel Mongaras 438 6 дней назад
Learning to (Learn at Test Time): RNNs with Expressive Hidden States 35:52
Learning to (Learn at Test Time): RNNs with Expressive Hidden States Gabriel Mongaras 1,381 2 недели назад
WARP: On the Benefits of Weight Averaged Rewarded Policies 52:39
WARP: On the Benefits of Weight Averaged Rewarded Policies Gabriel Mongaras 617 3 недели назад
CoDeF: Content Deformation Fields for Temporally Consistent Video Processing 28:52
CoDeF: Content Deformation Fields for Temporally Consistent Video Processing Gabriel Mongaras 681 1 месяц назад
Mamba 2 - Transformers are SSMs: Generalized Models and Efficient Algorithms Through SSS Duality 1:14:43
Mamba 2 - Transformers are SSMs: Generalized Models and Efficient Algorithms Through SSS Duality Gabriel Mongaras 4,499 1 месяц назад
CoPE - Contextual Position Encoding: Learning to Count What's Important 38:55
CoPE - Contextual Position Encoding: Learning to Count What's Important Gabriel Mongaras 1,182 1 месяц назад
NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models 45:48
NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models Gabriel Mongaras 697 2 месяца назад
xLSTM: Extended Long Short-Term Memory 43:26
xLSTM: Extended Long Short-Term Memory Gabriel Mongaras 1,751 2 месяца назад
KAN: Kolmogorov-Arnold Networks 37:09
KAN: Kolmogorov-Arnold Networks Gabriel Mongaras 52,988 2 месяца назад
LADD: Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation 30:07
LADD: Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation Gabriel Mongaras 728 2 месяца назад
OpenAI Sora and DiTs: Scalable Diffusion Models with Transformers 1:02:38
OpenAI Sora and DiTs: Scalable Diffusion Models with Transformers Gabriel Mongaras 10,134 5 месяцев назад
CoPE - Contextual Position Encoding: Learning to Count What's Important 38:55
CoPE - Contextual Position Encoding: Learning to Count What's Important Gabriel Mongaras 1,182 1 месяц назад
KAN: Kolmogorov-Arnold Networks 37:09
KAN: Kolmogorov-Arnold Networks Gabriel Mongaras 52,988 2 месяца назад
Encodec: High Fidelity Neural Audio Compression Explained 52:55
Encodec: High Fidelity Neural Audio Compression Explained Gabriel Mongaras 2,240 1 год назад
Stable/Latent Diffusion - High-Resolution Image Synthesis with Latent Diffusion Models Explained 44:05
Stable/Latent Diffusion - High-Resolution Image Synthesis with Latent Diffusion Models Explained Gabriel Mongaras 9,646 1 год назад
DoRA: Weight-Decomposed Low-Rank Adaptation 31:15
DoRA: Weight-Decomposed Low-Rank Adaptation Gabriel Mongaras 1,628 5 месяцев назад
Attention Is All You Need Explanation 1:10:42
Attention Is All You Need Explanation Gabriel Mongaras 1,634 1 год назад
Pathway enrichment analysis - simple explanation! 12:53
Pathway enrichment analysis - simple explanation! Biostatsquid 20,455 1 год назад
How Stable Diffusion Works (AI Image Generation) 30:21
How Stable Diffusion Works (AI Image Generation) Gonkee 141,120 1 год назад
Kolmogorov Arnold Networks (KAN) Paper Explained - An exciting new paradigm for Deep Learning? 17:05
Kolmogorov Arnold Networks (KAN) Paper Explained - An exciting new paradigm for Deep Learning? Neural Breakdown with AVB 47,052 2 месяца назад
Visualizing Convolutional Neural Networks | Layer by Layer 5:53
Visualizing Convolutional Neural Networks | Layer by Layer far1din 72,737 1 год назад
GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection 37:08
GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection Gabriel Mongaras 923 4 месяца назад
Simply explained! KAN: Kolmogorov–Arnold Networks is interpretable! Mathematics and Physics 6:47
Simply explained! KAN: Kolmogorov–Arnold Networks is interpretable! Mathematics and Physics Bin Yiu 9,893 2 месяца назад
CS 198-126: Lecture 12 - Diffusion Models 53:40
CS 198-126: Lecture 12 - Diffusion Models Machine Learning at Berkeley 65,539 1 год назад
How to turn PROCEDURAL MATH into MUSIC (actually this time) 6:39
How to turn PROCEDURAL MATH into MUSIC (actually this time) Ryan Hedgecock 4,544 10 месяцев назад
Mamba 2 - Transformers are SSMs: Generalized Models and Efficient Algorithms Through SSS Duality 1:14:43
Mamba 2 - Transformers are SSMs: Generalized Models and Efficient Algorithms Through SSS Duality Gabriel Mongaras 4,499 1 месяц назад
Stable Diffusion Explained and Demystified with Daniela Dapena - Lightning AI 33:31
Stable Diffusion Explained and Demystified with Daniela Dapena - Lightning AI Lightning AI 9,313 1 год назад
WARP: On the Benefits of Weight Averaged Rewarded Policies 52:39
WARP: On the Benefits of Weight Averaged Rewarded Policies Gabriel Mongaras 617 3 недели назад
Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for LLMs Explained 39:17
Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for LLMs Explained Gabriel Mongaras 2,160 1 год назад
Gabriel Mongaras RR VP 1:01
Gabriel Mongaras RR VP Jenna Leifeste 20 4 года назад
LoRA: Low-Rank Adaptation of LLMs Explained 27:19
LoRA: Low-Rank Adaptation of LLMs Explained Gabriel Mongaras 10,450 1 год назад
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits and BitNet 46:25
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits and BitNet Gabriel Mongaras 5,172 4 месяца назад
Lumiere: A Space-Time Diffusion Model for Video Generation 37:30
Lumiere: A Space-Time Diffusion Model for Video Generation Gabriel Mongaras 597 5 месяцев назад
CodeFusion: A Pre-trained Diffusion Model for Code Generation 30:46
CodeFusion: A Pre-trained Diffusion Model for Code Generation Gabriel Mongaras 792 8 месяцев назад
Mamba: Linear-Time Sequence Modeling with Selective State Spaces 44:02
Mamba: Linear-Time Sequence Modeling with Selective State Spaces Gabriel Mongaras 9,167 7 месяцев назад
MusicGen: Simple and Controllable Music Generation Explained 43:15
MusicGen: Simple and Controllable Music Generation Explained Gabriel Mongaras 3,587 1 год назад
HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Explained 54:21
HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Explained Gabriel Mongaras 428 1 год назад
SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis Explained 45:45
SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis Explained Gabriel Mongaras 2,226 11 месяцев назад
Mixture-of-Depths: Dynamically allocating compute in transformer-based language models 40:14
Mixture-of-Depths: Dynamically allocating compute in transformer-based language models Gabriel Mongaras 1,831 3 месяца назад

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