Saee Paliwal

According to our database, Saee Paliwal authored at least 9 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

GenMol: A Drug Discovery Generalist with Discrete Diffusion.

Seul Lee, Karsten Kreis, Srimukh Prasad Veccham, Meng Liu, Danny Reidenbach, Yuxing Peng, Saee Paliwal, Weili Nie, Arash Vahdat

CoRR, January, 2025

2024

BioNeMo Framework: a modular, high-performance library for AI model development in drug discovery.

Peter St. John, Dejun Lin, Polina Binder, Malcolm Greaves, Vega Shah, John St. John, Adrian Lange, Patrick Hsu, Rajesh Illango, Arvind Ramanathan, Anima Anandkumar, David H. Brookes, Akosua Busia, Abhishaike Mahajan, Stephen Malina, Neha Prasad, Sam Sinai, Lindsay Edwards, Thomas Gaudelet, Cristian Regep, Martin Steinegger, Burkhard Rost, Alexander Brace, Kyle Hippe, Luca Naef, Keisuke Kamata, George Armstrong, Kevin Boyd, Zhonglin Cao, Han-Yi Chou, Simon Chu, Allan dos Santos Costa, Sajad Darabi, Eric Dawson, Kieran Didi, Cong Fu, Mario Geiger, Michelle Gill, Darren Hsu, Gagan Kaushik, Maria Korshunova, Steven Kothen-Hill, Youhan Lee, Meng Liu, Micha Livne, Zachary McClure, Jonathan Mitchell, Alireza Moradzadeh, Ohad Mosafi, Youssef Nashed, Saee Paliwal, Yuxing Peng, Sara Rabhi, Farhad Ramezanghorbani, Danny Reidenbach, Camir Ricketts, Brian Roland, Kushal Shah, Tyler Shimko, Hassan Sirelkhatim, Savitha Srinivasan, Abraham C. Stern, Dorota Toczydlowska, Srimukh Prasad Veccham, Niccolò Alberto Elia Venanzi, Anton Vorontsov, Jared Wilber, Isabel Wilkinson, Wei Jing Wong, Eva Xue, Cory Ye, Xin Yu, Yang Zhang, Guoqing Zhou, Becca Zandstein, Christian Dallago, Bruno Trentini, Emine Küçükbenli, Timur Rvachov, Eddie Calleja, Johnny Israeli, Harry Clifford, Risto Haukioja, Nicholas Haemel, Kyle Tretina, Neha Tadimeti, Anthony B. Costa

CoRR, 2024

LinkLogic: A New Method and Benchmark for Explainable Knowledge Graph Predictions.

Niraj Kumar Singh, Gustavo Polleti, Saee Paliwal, Rachel Hodos-Nkhereanye

CoRR, 2024

Molecule Generation with Fragment Retrieval Augmentation.

Seul Lee, Karsten Kreis, Srimukh Prasad Veccham, Meng Liu, Danny Reidenbach, Saee Paliwal, Arash Vahdat, Weili Nie

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2022

Pseudo-Riemannian Embedding Models for Multi-Relational Graph Representations.

Saee Paliwal, Angus Brayne, Benedek Fabian, Maciej Wiatrak, Aaron Sim

Proceedings of the 4th Conference on Automated Knowledge Base Construction, 2022

2021

Directed Graph Embeddings in Pseudo-Riemannian Manifolds.

Aaron Sim, Maciej Wiatrak, Angus Brayne, Páidí Creed, Saee Paliwal

Proceedings of the 38th International Conference on Machine Learning, 2021

2017

Perceived control in bounded-rational decision-making.

Saee Paliwal, Frederike Petzschner, Ekaterina I. Lomakina, Klaas Enno Stephan

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2015

Inversion of hierarchical Bayesian models using Gaussian processes.

Ekaterina I. Lomakina, Saee Paliwal, Andreea Oliviana Diaconescu, Kay Henning Brodersen, Eduardo A. Aponte, Joachim M. Buhmann, Klaas E. Stephan

NeuroImage, 2015

2014

A Model-based Analysis of Impulsivity using a Slot-machine Gambling Paradigm.

Saee Paliwal, Frederike Petzschner, Anna Katharina Schmitz, Marc Tittgemeyer, Klaas Enno Stephan

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014