Saurav Jha @ICLR'25 @saurav_j_
@IVADO_Qc postdoc @Mila_Quebec, Ex applied scientist @OpenstreamAI , Ex-intern @TencentGlobal, @SonyAI_global, Ex-MLE @FactSet sauravjha.com.np Sydney, New South Wales Joined August 2018-
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GLOV: Guided Large Language Models as Implicit Optimizers for Vision Language Models: arxiv.org/pdf/2410.06154 we did something similar, long before it was 'cool' ;-)
GLOV: Guided Large Language Models as Implicit Optimizers for Vision Language Models: arxiv.org/pdf/2410.06154 we did something similar, long before it was 'cool' ;-)
Looking for 1 intern on audio-visual generation (potentially video2audio generation)! We have the largest computation resources in Japan, and we do serious industrial research (and development). DM if interested, and you can find more about me in my homepage.
Project page: srvcodes.github.io/continual_pers… Camera ready: arxiv.org/abs/2410.00700
Project page: srvcodes.github.io/continual_pers… Camera ready: arxiv.org/abs/2410.00700
6 papers accepted at #ICLR2025 from our lab 🎉 1. SoundCTM: Unifying Score-based and Consistency Models for Full-band Text-to-Sound Generation 2. Discriminator-Guided Cooperative Diffusion for Joint Audio and Video Generation 3. Jump Your Steps: Optimizing Sampling Schedule of…
Anne Gagneux, Ségolène Martin, @Qu3ntinB, Remi Emonet and I wrote a tutorial blog post on flow matching: dl.heeere.com/cfm/ with lots of illustrations and intuition! We got this idea after their cool work on improving Plug and Play with FM: arxiv.org/abs/2410.02423
🧵on Japan's underrated contributions to neural nets. Shun-ichi Amari @UTokyo_News_en @riken_en is another one of my heroes. His 1972 paper on associative memory models modeled Hebbian plasticity using an outer product weight matrix.
Happy to share that our paper "CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models" has been accepted to #NeurIPS2024! 🥳 👉 arXiv: arxiv.org/abs/2403.19137 👉 Code: github.com/srvCodes/clap4…
This summer Novi Sad 🇷🇸 was the epicentre of the global AI community, hosting @EEMLcommunity 2024! 🌍 310 participants from 47 countries (840 applications!) 🧑🏫 Lectures on deep learning, VLMs, RL etc from top AI experts 💻 Tutorial sessions 🛜 Networking and research discussions
🌟We are thrilled to announce the Australasian Joint Conference on AI (AJCAI 2024). 🌟 🗓️Date: 25th - 29th Nov, 2024 🎯Submission Deadline: 30th June, 2024 📋Acceptance Notification: 18th August, 2024 📍 Location: Melbourne, Australia 📣 Call for Papers Now Open! 📣
Aussies @ NeurIPS (Some folks from @unsw_ai @cis_unimelb @ANUComputing @Data61news and industry) @NeurIPSConf
- NPCL: Neural Processes for Uncertainty-Aware Continual Learning. With @saurav_j_, He Zhao, and @LinaYao314. Neural Process-based probabilistic modeling is used in CL. Uncertainty measurements are used to select the task-specific modules in inference. Thu 14 Dec 8:45-10:45am PST
Pleased to share our #neurips2023 paper on #continuallearning 👉 "NPCL: Neural Processes for Uncertainty-Aware Continual Learning" Paper: arxiv.org/abs/2310.19272 Blog: tinyurl.com/ye34747w CC @LinaYao314 @dgonginf
Thrilled to share that our #ContinualLearning paper titled "NPCL: Neural Processes for Uncertainty-Aware Continual Learning" has been accepted to #NeurIPS2023.🥳 Pre-print and code to follow soon! @dgonginf @LinaYao314 @UNSWCOMPUTING
I was a tutor for the @UNSWCOMPUTING COMP9418 module on Advanced Statistical Machine Learning last term and the student survey reports are out today. And boy, couldn't help myself but from sharing these here! 😁
A comprehensive overview of the Neural Process Family: - What do they have to do with Neural Networks? - What do they have to do with Gaussian Processes? - What does it all have to with Meta Learning? - What advances have been made in the last 4 years? arxiv.org/abs/2209.00517
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