Forum company

8 mentions · across 2 shows

Fuero, Fur, Foro, Foru or Fueru is a Spanish legal term and concept. The word comes from Latin forum, an open space used as a market, tribunal and meeting place. The same Latin root is the origin of the French terms for and foire, and the Portuguese terms foro and foral; all of these words have related, but somewhat different meanings.

https://openreview.net/forum?id=s0JVsx3bx1

Relationship map

podcastsolid = outgoing · dashed = incoming

Connections 14

all 14 mentioned 7 references 7

mentioned 7

← mentioned Latent Space: The AI Engineer Podcast podcast

0.45

evidence rules-v4
Link in episode "[NeurIPS Best Paper] 1000 Layer Networks for Self-Supervised RL — Kevin Wang et al, Princeton": https://openreview.net/forum?id=s0JVsx3bx1
[NeurIPS Best Paper] 1000 Layer Networks for Self-Supervised RL — Kevin Wang et al, Princ… · 2026-01-02
← mentioned Machine Learning Street Talk (MLST) podcast

0.45

evidence rules-v4
Link in episode "Why Scaling Prediction Cannot Create Intelligence - Alexander Mattick": https://openreview.net/forum?id=0ez68a5UqI
Why Scaling Prediction Cannot Create Intelligence - Alexander Mattick · 2026-09-21
← mentioned Machine Learning Street Talk (MLST) podcast

0.45

evidence rules-v4
Link in episode "VAEs Are Energy-Based Models? [Dr. Jeff Beck]": https://openreview.net/forum?id=BZ5a1r-kVsf
VAEs Are Energy-Based Models? [Dr. Jeff Beck] · 2026-01-25
← mentioned Machine Learning Street Talk (MLST) podcast

0.45

evidence rules-v4
Link in episode "Prof. Randall Balestriero - LLMs without pretraining and SSL": https://openreview.net/forum?id=wYGBWOjq1Q
Prof. Randall Balestriero - LLMs without pretraining and SSL · 2025-04-23
← mentioned Machine Learning Street Talk (MLST) podcast

0.45

evidence rules-v4
Link in episode "Sepp Hochreiter - LSTM: The Comeback Story?": https://openreview.net/forum?id=7PGluppo4k
Sepp Hochreiter - LSTM: The Comeback Story? · 2025-02-12
← mentioned Machine Learning Street Talk (MLST) podcast

0.45

evidence rules-v4
Link in episode "Want to Understand Neural Networks? Think Elastic Origami! - Prof. Randall Balestriero": https://openreview.net/forum?id=ez7w0Ss4g9
Want to Understand Neural Networks? Think Elastic Origami! - Prof. Randall Balestriero · 2025-02-08
← mentioned Machine Learning Street Talk (MLST) podcast

0.45

evidence rules-v4
Link in episode "#114 - Secrets of Deep Reinforcement Learning (Minqi Jiang)": https://openreview.net/forum?id=NfZ6g2OmXEk
#114 - Secrets of Deep Reinforcement Learning (Minqi Jiang) · 2023-04-16

references 7

← references Latent Space: The AI Engineer Podcast podcast

0.38

evidence rules-v4
Link in episode "[NeurIPS Best Paper] 1000 Layer Networks for Self-Supervised RL — Kevin Wang et al, Princeton": https://openreview.net/forum?id=s0JVsx3bx1
[NeurIPS Best Paper] 1000 Layer Networks for Self-Supervised RL — Kevin Wang et al, Princ… · 2026-01-02
← references Machine Learning Street Talk (MLST podcast

0.38

evidence rules-v4
Link in episode "Why Scaling Prediction Cannot Create Intelligence - Alexander Mattick": https://openreview.net/forum?id=0ez68a5UqI
Why Scaling Prediction Cannot Create Intelligence - Alexander Mattick · 2026-09-21
← references Machine Learning Street Talk (MLST podcast

0.38

evidence rules-v4
Link in episode "VAEs Are Energy-Based Models? [Dr. Jeff Beck]": https://openreview.net/forum?id=BZ5a1r-kVsf
VAEs Are Energy-Based Models? [Dr. Jeff Beck] · 2026-01-25
← references Machine Learning Street Talk (MLST podcast

0.38

evidence rules-v4
Link in episode "Prof. Randall Balestriero - LLMs without pretraining and SSL": https://openreview.net/forum?id=wYGBWOjq1Q
Prof. Randall Balestriero - LLMs without pretraining and SSL · 2025-04-23
← references Machine Learning Street Talk (MLST podcast

0.38

evidence rules-v4
Link in episode "Sepp Hochreiter - LSTM: The Comeback Story?": https://openreview.net/forum?id=7PGluppo4k
Sepp Hochreiter - LSTM: The Comeback Story? · 2025-02-12
← references Machine Learning Street Talk (MLST podcast

0.38

evidence rules-v4
Link in episode "Want to Understand Neural Networks? Think Elastic Origami! - Prof. Randall Balestriero": https://openreview.net/forum?id=ez7w0Ss4g9
Want to Understand Neural Networks? Think Elastic Origami! - Prof. Randall Balestriero · 2025-02-08
← references Machine Learning Street Talk (MLST podcast

0.38

evidence rules-v4
Link in episode "#114 - Secrets of Deep Reinforcement Learning (Minqi Jiang)": https://openreview.net/forum?id=NfZ6g2OmXEk
#114 - Secrets of Deep Reinforcement Learning (Minqi Jiang) · 2023-04-16

Heard in

Machine Learning Street Talk (MLST)6 episodes
Latent Space: The AI Engineer Podcast1 episode

Mentioned in episodes

Why Scaling Prediction Cannot Create Intelligence - Alexander Mattick

2026-09-21 · Machine Learning Street Talk (MLST) · via mentioned · 0.45

Link in episode "Why Scaling Prediction Cannot Create Intelligence - Alexander Mattick": https://openreview.net/forum?id=0ez68a5UqI
Why Scaling Prediction Cannot Create Intelligence - Alexander Mattick

2026-09-21 · Machine Learning Street Talk (MLST) · via references · 0.38

Link in episode "Why Scaling Prediction Cannot Create Intelligence - Alexander Mattick": https://openreview.net/forum?id=0ez68a5UqI
VAEs Are Energy-Based Models? [Dr. Jeff Beck]

2026-01-25 · Machine Learning Street Talk (MLST) · via mentioned · 0.45

Link in episode "VAEs Are Energy-Based Models? [Dr. Jeff Beck]": https://openreview.net/forum?id=BZ5a1r-kVsf
VAEs Are Energy-Based Models? [Dr. Jeff Beck]

2026-01-25 · Machine Learning Street Talk (MLST) · via references · 0.38

Link in episode "VAEs Are Energy-Based Models? [Dr. Jeff Beck]": https://openreview.net/forum?id=BZ5a1r-kVsf
[NeurIPS Best Paper] 1000 Layer Networks for Self-Supervised RL — Kevin Wang et al, Princeton

2026-01-02 · Latent Space: The AI Engineer Podcast · via mentioned · 0.45

Link in episode "[NeurIPS Best Paper] 1000 Layer Networks for Self-Supervised RL — Kevin Wang et al, Princeton": https://openreview.net/forum?id=s0JVsx3bx1
[NeurIPS Best Paper] 1000 Layer Networks for Self-Supervised RL — Kevin Wang et al, Princeton

2026-01-02 · Latent Space: The AI Engineer Podcast · via references · 0.38

Link in episode "[NeurIPS Best Paper] 1000 Layer Networks for Self-Supervised RL — Kevin Wang et al, Princeton": https://openreview.net/forum?id=s0JVsx3bx1
Prof. Randall Balestriero - LLMs without pretraining and SSL

2025-04-23 · Machine Learning Street Talk (MLST) · via mentioned · 0.45

Link in episode "Prof. Randall Balestriero - LLMs without pretraining and SSL": https://openreview.net/forum?id=wYGBWOjq1Q
Prof. Randall Balestriero - LLMs without pretraining and SSL

2025-04-23 · Machine Learning Street Talk (MLST) · via references · 0.38

Link in episode "Prof. Randall Balestriero - LLMs without pretraining and SSL": https://openreview.net/forum?id=wYGBWOjq1Q
Sepp Hochreiter - LSTM: The Comeback Story?

2025-02-12 · Machine Learning Street Talk (MLST) · via mentioned · 0.45

Link in episode "Sepp Hochreiter - LSTM: The Comeback Story?": https://openreview.net/forum?id=7PGluppo4k
Sepp Hochreiter - LSTM: The Comeback Story?

2025-02-12 · Machine Learning Street Talk (MLST) · via references · 0.38

Link in episode "Sepp Hochreiter - LSTM: The Comeback Story?": https://openreview.net/forum?id=7PGluppo4k
Want to Understand Neural Networks? Think Elastic Origami! - Prof. Randall Balestriero

2025-02-08 · Machine Learning Street Talk (MLST) · via mentioned · 0.45

Link in episode "Want to Understand Neural Networks? Think Elastic Origami! - Prof. Randall Balestriero": https://openreview.net/forum?id=ez7w0Ss4g9
Want to Understand Neural Networks? Think Elastic Origami! - Prof. Randall Balestriero

2025-02-08 · Machine Learning Street Talk (MLST) · via references · 0.38

Link in episode "Want to Understand Neural Networks? Think Elastic Origami! - Prof. Randall Balestriero": https://openreview.net/forum?id=ez7w0Ss4g9
#114 - Secrets of Deep Reinforcement Learning (Minqi Jiang)

2023-04-16 · Machine Learning Street Talk (MLST) · via mentioned · 0.45

Link in episode "#114 - Secrets of Deep Reinforcement Learning (Minqi Jiang)": https://openreview.net/forum?id=NfZ6g2OmXEk
#114 - Secrets of Deep Reinforcement Learning (Minqi Jiang)

2023-04-16 · Machine Learning Street Talk (MLST) · via references · 0.38

Link in episode "#114 - Secrets of Deep Reinforcement Learning (Minqi Jiang)": https://openreview.net/forum?id=NfZ6g2OmXEk

All extracted evidence for this entity (14)

description:link [NeurIPS Best Paper] 1000 Layer Networks for Self-Supervised

Link in episode "[NeurIPS Best Paper] 1000 Layer Networks for Self-Supervised RL — Kevin Wang et al, Princeton": https://openreview.net/forum?id=s0JVsx3bx1

description:link Why Scaling Prediction Cannot Create Intelligence - Alexande

Link in episode "Why Scaling Prediction Cannot Create Intelligence - Alexander Mattick": https://openreview.net/forum?id=0ez68a5UqI

description:link VAEs Are Energy-Based Models? [Dr. Jeff Beck]

Link in episode "VAEs Are Energy-Based Models? [Dr. Jeff Beck]": https://openreview.net/forum?id=BZ5a1r-kVsf

description:link Prof. Randall Balestriero - LLMs without pretraining and SSL

Link in episode "Prof. Randall Balestriero - LLMs without pretraining and SSL": https://openreview.net/forum?id=wYGBWOjq1Q

description:link Sepp Hochreiter - LSTM: The Comeback Story?

Link in episode "Sepp Hochreiter - LSTM: The Comeback Story?": https://openreview.net/forum?id=7PGluppo4k

description:link Want to Understand Neural Networks? Think Elastic Origami! -

Link in episode "Want to Understand Neural Networks? Think Elastic Origami! - Prof. Randall Balestriero": https://openreview.net/forum?id=ez7w0Ss4g9

description:link #114 - Secrets of Deep Reinforcement Learning (Minqi Jiang)

Link in episode "#114 - Secrets of Deep Reinforcement Learning (Minqi Jiang)": https://openreview.net/forum?id=NfZ6g2OmXEk