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Heterogeneous Decentralized Diffusion Models
Training free merge of heterogeneous objective diffusion ensemble
Mar 11
•
Gin Jiang
and
Bidhan Roy
23
1
2
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Introducing Paris
Oct 7, 2025
•
Gin Jiang
,
Raihan Seraj
,
Marcos Villagra
, and
Bidhan Roy
39
3
3
ZKLoRA
Jan 21, 2025
•
Bidhan Roy
,
Peter Potash
, and
Marcos Villagra
29
4
Stability–Quality Paradox in Decentralized Diffusion Models
Feb 6
•
Marcos Villagra
,
Bidhan Roy
,
Raihan Seraj
, and
Gin Jiang
20
4
2
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Stability–Quality Paradox in Decentralized Diffusion Models
Why the most stable samplers in decentralized diffusion produce the worst generations
Feb 6
•
Marcos Villagra
,
Bidhan Roy
,
Raihan Seraj
, and
Gin Jiang
20
4
2
Introducing Paris
World's First Decentralized Trained Open-Weight Diffusion Model
Oct 7, 2025
•
Gin Jiang
,
Raihan Seraj
,
Marcos Villagra
, and
Bidhan Roy
39
3
3
Tiny Tool Use
Open source library for teaching LLMs tool-use
Jul 1, 2025
•
Raihan Seraj
,
Marcos Villagra
, and
Bidhan Roy
21
1
Return on Experience (RoE)
A single benchmark that predicts Reinforcement Learning's future.
May 1, 2025
•
Bidhan Roy
19
3
3
ZKLoRA
Zero-Knowledge Verification of LoRA training on SOTA Models in 1-2 Seconds
Jan 21, 2025
•
Bidhan Roy
,
Peter Potash
, and
Marcos Villagra
29
4
Train Fast, But Think Slow
Inference Time Compute vs Training Time Compute for AI Reasoning
Nov 6, 2024
•
Bidhan Roy
and
Marcos Villagra
39
1
Machine Unlearning
Right to be forgotten by AI
Sep 10, 2024
•
Bidhan Roy
and
Marcos Villagra
12
3
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