Tanya Marwah

32 papers A* 8Journal 23Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
CodePDE: An Inference Framework for LLM-driven PDE Solver Generation.
Trans. Mach. Learn. Res.
Shanda Li, Tanya Marwah, Junhong Shen, Weiwei Sun, Andrej Risteski, Yiming Yang, Ameet Talwalkar
2026 J jnl
Probabilistic Retrofitting of Learned Simulators.
CoRR
Cristiana Diaconu, Miles D. Cranmer, Richard E. Turner, Tanya Marwah, Payel Mukhopadhyay
2026 J jnl
Protein Design with Agent Rosetta: A Case Study for Specialized Scientific Agents.
CoRR
Jacopo Teneggi, S. M. Bargeen A. Turzo, Tanya Marwah, Alberto Bietti, P. Douglas Renfrew, Vikram Khipple Mulligan, Siavash Golkar
2025 J jnl
Chimera: State Space Models Beyond Sequences.
CoRR
Aakash Lahoti, Tanya Marwah, Ratish Puduppully, Albert Gu
2025 J jnl
Chimera: State Space Models Beyond Sequences.
Trans. Mach. Learn. Res.
Aakash Lahoti, Tanya Marwah, Ratish Puduppully, Albert Gu
2025 J jnl
CodePDE: An Inference Framework for LLM-driven PDE Solver Generation.
CoRR
Shanda Li, Tanya Marwah, Junhong Shen, Weiwei Sun, Andrej Risteski, Yiming Yang, Ameet Talwalkar
2025 A* conf
On the Benefits of Memory for Modeling Time-Dependent PDEs.
ICLR
Ricardo Buitrago Ruiz, Tanya Marwah, Albert Gu, Andrej Risteski
2025 J jnl
Pre-Generating Multi-Difficulty PDE Data for Few-Shot Neural PDE Solvers.
CoRR
Naman Choudhary, Vedant Singh, Ameet Talwalkar, Nicholas Matthew Boffi, Mikhail Khodak, Tanya Marwah
2025 J jnl
Predicting partially observable dynamical systems via diffusion models with a multiscale inference scheme.
CoRR
Rudy Morel, Francesco Pio Ramunno, Jeff Shen, Alberto Bietti, Kyunghyun Cho, Miles D. Cranmer, Siavash Golkar, Olexandr Gugnin, Géraud Krawezik, Tanya Marwah, Michael McCabe, Lucas Meyer, Payel Mukhopadhyay, Ruben Ohana, Liam Holden Parker, Helen Qu, François Rozet, K. D. Leka, François Lanusse, David Fouhey, Shirley Ho
2025 A* conf
Towards characterizing the value of edge embeddings in Graph Neural Networks.
ICML
Dhruv Rohatgi, Tanya Marwah, Zachary Chase Lipton, Jianfeng Lu, Ankur Moitra, Andrej Risteski
2025 J jnl
Walrus: A Cross-Domain Foundation Model for Continuum Dynamics.
CoRR
Michael McCabe, Payel Mukhopadhyay, Tanya Marwah, Bruno Régaldo-Saint Blancard, François Rozet, Cristiana Diaconu, Lucas Meyer, Kaze W. K. Wong, Hadi Sotoudeh, Alberto Bietti, Irina Espejo, Rio Fear, Siavash Golkar, Tom Hehir, Keiya Hirashima, Géraud Krawezik, François Lanusse, Rudy Morel, Ruben Ohana, Liam Holden Parker, Mariel Pettee, Jeff Shen, Kyunghyun Cho, Miles D. Cranmer, Shirley Ho
2024 J jnl
Adapting Language Models via Token Translation.
CoRR
Zhili Feng, Tanya Marwah, Nicolò Fusi, David Alvarez-Melis, Lester Mackey
2024 J jnl
On the Benefits of Memory for Modeling Time-Dependent PDEs.
CoRR
Ricardo Buitrago Ruiz, Tanya Marwah, Albert Gu, Andrej Risteski
2024 J jnl
Towards characterizing the value of edge embeddings in Graph Neural Networks.
CoRR
Dhruv Rohatgi, Tanya Marwah, Zachary Chase Lipton, Jianfeng Lu, Ankur Moitra, Andrej Risteski
2024 J jnl
UPS: Efficiently Building Foundation Models for PDE Solving via Cross-Modal Adaptation.
Trans. Mach. Learn. Res.
Junhong Shen, Tanya Marwah, Ameet Talwalkar
2024 J jnl
UPS: Towards Foundation Models for PDE Solving via Cross-Modal Adaptation.
CoRR
Junhong Shen, Tanya Marwah, Ameet Talwalkar
2023 A* conf
Deep Equilibrium Based Neural Operators for Steady-State PDEs.
NeurIPS
Tanya Marwah, Ashwini Pokle, J. Zico Kolter, Zachary C. Lipton, Jianfeng Lu, Andrej Risteski
2023 J jnl
Deep Equilibrium Based Neural Operators for Steady-State PDEs.
CoRR
Tanya Marwah, Ashwini Pokle, J. Zico Kolter, Zachary C. Lipton, Jianfeng Lu, Andrej Risteski
2023 A* conf
Disentangling the Mechanisms Behind Implicit Regularization in SGD.
ICLR
Zachary Novack, Simran Kaur, Tanya Marwah, Saurabh Garg, Zachary Chase Lipton
2023 A* conf
Neural Network Approximations of PDEs Beyond Linearity: A Representational Perspective.
ICML
Tanya Marwah, Zachary Chase Lipton, Jianfeng Lu, Andrej Risteski
2022 J jnl
Disentangling the Mechanisms Behind Implicit Regularization in SGD.
CoRR
Zachary Novack, Simran Kaur, Tanya Marwah, Saurabh Garg, Zachary C. Lipton
2022 J jnl
Neural Network Approximations of PDEs Beyond Linearity: Representational Perspective.
CoRR
Tanya Marwah, Zachary C. Lipton, Jianfeng Lu, Andrej Risteski
2021 A* conf
Parametric Complexity Bounds for Approximating PDEs with Neural Networks.
NeurIPS
Tanya Marwah, Zachary C. Lipton, Andrej Risteski
2021 J jnl
Parametric Complexity Bounds for Approximating PDEs with Neural Networks.
CoRR
Tanya Marwah, Zachary C. Lipton, Andrej Risteski
2019 — conf
Interactive Image Generation Using Scene Graphs.
DGS@ICLR
Gaurav Mittal, Shubham Agrawal, Anuva Agarwal, Sushant Mehta, Tanya Marwah
2019 J jnl
Interactive Image Generation Using Scene Graphs.
CoRR
Gaurav Mittal, Shubham Agrawal, Anuva Agarwal, Sushant Mehta, Tanya Marwah
2019 J jnl
Sentiment Dynamics in Social Media News Channels.
CoRR
Nagendra Kumar, Rakshita Nagalla, Tanya Marwah, Manish Singh
2018 J jnl
Sentiment dynamics in social media news channels.
Online Soc. Networks Media
Nagendra Kumar, Rakshita Nagalla, Tanya Marwah, Manish Singh
2017 A* conf
Attentive Semantic Video Generation Using Captions.
ICCV
Tanya Marwah, Gaurav Mittal, Vineeth N. Balasubramanian
2017 J jnl
Attentive Semantic Video Generation using Captions.
CoRR
Tanya Marwah, Gaurav Mittal, Vineeth N. Balasubramanian
2017 A* conf
Sync-DRAW: Automatic Video Generation using Deep Recurrent Attentive Architectures.
ACM Multimedia
Gaurav Mittal, Tanya Marwah, Vineeth N. Balasubramanian
2016 J jnl
Sync-DRAW: Automatic GIF Generation using Deep Recurrent Attentive Architectures.
CoRR
Gaurav Mittal, Tanya Marwah, Vineeth N. Balasubramanian