What in the world is that y-axis scaling!? Differences between points within the same vertical axis are not comparable. Differences between points across different vertical axes are not comparable. Reporting to @GraphCrimes
Manvi Agarwal retweeted
Hehehe enough offense/defense, time to log off and read. Thanks to @sharbat_c for the books 😻
The Wife is, from today, Dr. The Wife!
Very happy, congratulations @ManviTweeteth!
#PhDone
Manvi Agarwal retweeted
Do you want to do a PhD on exploring brain-body interactions with expansion microscopy at the Paris-Saclay Institute of Neuroscience, through the Marie-Curie COFUND program?
Apply!
Deadline : 23 February 2026
Supervisor : Tihana JOVANIC
lightinparis.eu
Manvi Agarwal retweeted
It should be obvious to French commentators that both the following facts are true : (1) a Zohran Mamdani could not be elected in France because of the lower acceptance and integration of minorities and (2) his economic agenda is pretty normal and not at all radical for France.
Manvi Agarwal retweeted
Monsieur le Président, j’ai Choosé France for Science (France m’a Choosé for Science, merci MSCA fellowship) et ça passe bien (there are many amazing laboratoires dans ce pays) but sans mesures concrètes pour améliorer la bureaucratie scientifique, il est inutile d'en parler.
Ici en France, la recherche est une priorité, l’innovation une culture, la science un horizon sans limite. Chercheurs, chercheuses du monde entier, choisissez la France, choisissez l’Europe ! Je vous donne rendez-vous le 5 mai.
→ choosefrance.fr/forscience
🚨 We just submitted a follow-up to this work, now available as a preprint: hal.science/hal-05021809
2️⃣ We introduce a new positional encoding method - RoPEPool - that can model causality.
How does RoPEPool compare to RoPE and F-StrIPE? Our analysis with a toy example says: RoPEPool isn’t just different, it’s also richer in terms of expressivity.
ICASSP 2025 has begun! I will be presenting "F-StrIPE: Fast Structure-Informed Positional Encoding for Symbolic Music Generation" on April 11 in the lecture session "Machine learning for speech, audio and music processing II" at 2 PM.
More details below 🧵
In our paper, we show that stochastic positional encoding is, in fact, a noisy version of a well-known kernel approximation technique: Random Fourier Features. We also show how prior knowledge (e.g. related to musical structure) can be used in such linear-complexity Transformers.
With these two interventions, we obtain better performance at lower cost! 🚀
Curious? Check out the companion webpage: bit.ly/faststructurepe
Manvi Agarwal retweeted
Did Qin Shi Huang know when he united China under a Legalist bureaucratic system 2200 years ago, that he would start a process that would end up in me filling out forms in triplicate from Calcutta to Paris, instead of doing science?
FML.
Manvi Agarwal retweeted
Just explained to general disbelief of my Indian parents how @Sorbonne_Univ_ hasn't yet reimbursed me ~1200€ for over 4 years, & that I will not be paid my December salary in time due to bureacratic incompetence.
They thought such incompetence was just an Indian particularity!















