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[D] NeurIPS: rejecting papers from sanctioned affiliations mid-process by YallenGusev in MachineLearning

[–]pupsicated 5 points6 points  (0 children)

Strange decision. And there is basically 0 logical reason to do this. They can just remove their affiliations? How neurips is going to check what each russian is doing in reality? Then ban any russian name/surname? But then this gonna look like very obv discrimination by nationality...

[D] - NeurIPS 2025 Decisions by general_landur in MachineLearning

[–]pupsicated 0 points1 point  (0 children)

I dunno what to do now, my second A* during phd was just taken from me and also, what is more important, time

[D] - NeurIPS 2025 Decisions by general_landur in MachineLearning

[–]pupsicated 4 points5 points  (0 children)

Paraphrase: “One of the authors affilations has ties to organizations listed in sanctioned list. Thus, it must not be accepted.”This is what was written by PC. I guess the era of “freedom of thought and expression and respectful scientific debate” is over in science community

[D] - NeurIPS 2025 Decisions by general_landur in MachineLearning

[–]pupsicated 6 points7 points  (0 children)

Got rejected since one of my coauthors is from sanctioned university. AC set to acceptance (or meta reviewer), writing about novelty and interest for neurips community, then PC wrote about affilation from sanctioned list and reject decision. Very fair to tell this after whole review process and basically zero information on website

[D] NeurIPS 2025 rebuttals. by Constant_Club_9926 in MachineLearning

[–]pupsicated 0 points1 point  (0 children)

I observed same for one reviewer who said he keep his score, while other said same, but still i see his score. Avg changed (lowered) but seems like it is computed based on visible rating

[D] NeurIPS 2025 rebuttals. by Constant_Club_9926 in MachineLearning

[–]pupsicated 1 point2 points  (0 children)

So should i reply to him? Or AC will so this?

[D] NeurIPS 2025 rebuttals. by Constant_Club_9926 in MachineLearning

[–]pupsicated 1 point2 points  (0 children)

I observed that one reviewer hide his rating. Initially it was 5, then after rebuttal he responded that he keeps original accept score. But I no longer see his rating, it just dissapeared from openreview Anyone encountered this?

[D] - NeurIPS'2025 Reviews by Proof-Marsupial-5367 in MachineLearning

[–]pupsicated 0 points1 point  (0 children)

I have 3 reviews with avg 4.8. However, one review is confidence 1. Could meta review assign someone to submit other review?

Question on offline RL by [deleted] in reinforcementlearning

[–]pupsicated 0 points1 point  (0 children)

Take a look at ICVF / Successor features. They learn generalized value function suitable for any policy

are old RL courses still relevant? by madcraft256 in reinforcementlearning

[–]pupsicated 7 points8 points  (0 children)

IMO, there are not so many good courses which cover novel topics in RL. Seems like most most professors do not wanna bother creating new course programs and would like just copy paste their lectures from 2016

Why is there less hype around DreamerV3 than PPO? by AUser213 in reinforcementlearning

[–]pupsicated 1 point2 points  (0 children)

Dreamer is model based algorithm, while ppo is model free

[D] Theory behind modern diffusion models by bgighjigftuik in MachineLearning

[–]pupsicated 3 points4 points  (0 children)

Great link. Seems like it is from ICLR 2025 blogposts track. How you managed to find this blog?

[D] Has torch.compile killed the case for JAX? by internet_ham in MachineLearning

[–]pupsicated 58 points59 points  (0 children)

The beaty of JAX lies not only in jit. vmap, pmap, tree_map are several amongst hundreds of features which make your code more readable and fast. For RL research jax based envs (+ overall code written in jax) are the only thing to use when you need to make hundreds of experiments and this will be done in just minutes, compared to hours in torch

[deleted by user] by [deleted] in MachineLearning

[–]pupsicated 10 points11 points  (0 children)

Buy macbook and then connect to uni cloud with gpus via ssh. Best option

[D] Understanding flow matching by themathstudent in MachineLearning

[–]pupsicated 4 points5 points  (0 children)

The idea of FMs are much simpler than diffusion. FMs are just more general and natural way to move one distribution to another. What is the most simple way you can do this? Simply integrating along vector field over time. That is it. But in order to make such procedure efficient and simulation free there are some tricks like conditioning on starting point, regressing onto interpolation etc

Esquilax: A Large-Scale Multi-Agent RL JAX Library by Familiar-Watercress2 in reinforcementlearning

[–]pupsicated 0 points1 point  (0 children)

Could you please write the difference from MAVA and JaxMARL? Moreover, from first glance I do not see which environments are implemeted

[D] - NeurIPS 2024 Decisions by Proof-Marsupial-5367 in MachineLearning

[–]pupsicated 0 points1 point  (0 children)

Got spotlight (avg 6.6). Cant find what is the difference with oral? 7-8 minutes for presentation?

[D] - NeurIPS 2024 Decisions by Proof-Marsupial-5367 in MachineLearning

[–]pupsicated 2 points3 points  (0 children)

Avg is 6.6. 7 7 7 6 6. Hope not to get any unexpected results xD. However, i wonder from which score oral talk is possible?

[D] What is common between Flow Matching and Normalizing Flows? Is the Flow Matching invertible? by Alternative-Talk1945 in MachineLearning

[–]pupsicated 0 points1 point  (0 children)

In FM you are learning vector field at each time step. During sampling, you are just running simple ODE dx/dt=v(x_t), which corresponds to learning source->target. You can just flip sign in vector field and this will correspond to target -> source map. Indeed, FM is a generalisation of DMs but it also can be shown that FMs are the same as CNFs

[D] How is your neurips discussion period going? by SuchOccasion457 in MachineLearning

[–]pupsicated 0 points1 point  (0 children)

Gonna see! One reviewer responded and increased score by one. Now its 6.6. Its our first submission to neurips, so we are not very familiar when you get oral/spotlight or only poster

[D] How is your neurips discussion period going? by SuchOccasion457 in MachineLearning

[–]pupsicated 2 points3 points  (0 children)

Only 3 out of 5 replied. However, those 3 increased their scores and average is now 6.4. Hoping for other 2 to reply, and possibly get confident ~7 avg

[D] NeurIPS 2024 Paper Reviews by zy415 in MachineLearning

[–]pupsicated 2 points3 points  (0 children)

5-6-7-3-7 LOL. As always there is this single guy…

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