Ishita Mediratta

According to our database, Ishita Mediratta authored at least 11 papers between 2021 and 2026.

Collaborative distances:

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

2026

AIRA_2: Overcoming Bottlenecks in AI Research Agents.

Karen Hambardzumyan, Nicolas Mario Baldwin, Edan Toledo, Rishi Hazra, Michael Kuchnik, Bassel Al Omari, Thomas Foster, Anton Protopopov, Jean-Christophe Gagnon-Audet, Ishita Mediratta, Kelvin Niu, Michael Shvartsman, Alisia Maria Lupidi, Alexis Audran-Reiss, Parth Pathak, Tatiana Shavrina, Despoina Magka, Hela Momand, Derek Dunfield, Nicola Cancedda, Pontus Stenetorp, Carole-Jean Wu, Jakob Nicolaus Foerster, Yoram Bachrach, Martin Josifoski

CoRR, March, 2026

AIRS-Bench: a Suite of Tasks for Frontier AI Research Science Agents.

Alisia Maria Lupidi, Bhavul Gauri, Thomas Foster, Bassel Al Omari, Despoina Magka, Alberto Pepe, Alexis Audran-Reiss, Muna Aghamelu, Nicolas Mario Baldwin, Lucia Cipolina-Kun, Jean-Christophe Gagnon-Audet, Chee Hau Leow, Sandra Lefdal, Hossam Mossalam, Abhinav Moudgil, Saba Nazir, Emanuel Tewolde, Isabel Urrego, Jordi Armengol-Estapé, Amar Budhiraja, Gaurav Chaurasia, Abhishek Charnalia, Derek Dunfield, Karen Hambardzumyan, Daniel Izcovich, Martin Josifoski, Ishita Mediratta, Kelvin Niu, Parth Pathak, Michael Shvartsman, Edan Toledo, Anton Protopopov, Roberta Raileanu, Alexander H. Miller, Tatiana Shavrina, Jakob N. Foerster, Yoram Bachrach

CoRR, February, 2026

A Scalable Measure of Loss Landscape Curvature for Analyzing the Training Dynamics of LLMs.

Dayal Singh Kalra, Jean-Christophe Gagnon-Audet, Andrey Gromov, Ishita Mediratta, Kelvin Niu, Alexander H. Miller, Michael Shvartsman

CoRR, January, 2026

2024

The Generalization Gap in Offline Reinforcement Learning.

Ishita Mediratta, Qingfei You, Minqi Jiang, Roberta Raileanu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Understanding the Effects of RLHF on LLM Generalisation and Diversity.

Robert Kirk, Ishita Mediratta, Christoforos Nalmpantis, Jelena Luketina, Eric Hambro, Edward Grefenstette, Roberta Raileanu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Stabilizing Unsupervised Environment Design with a Learned Adversary.

Ishita Mediratta, Minqi Jiang, Jack Parker-Holder, Michael Dennis, Eugene Vinitsky, Tim Rocktäschel

Proceedings of the Conference on Lifelong Learning Agents, 2023

2022

Bottom Up Top Down Detection Transformers for Language Grounding in Images and Point Clouds.

Ayush Jain, Nikolaos Gkanatsios, Ishita Mediratta, Katerina Fragkiadaki

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

OMA orthology in 2021: website overhaul, conserved isoforms, ancestral gene order and more.

Adrian M. Altenhoff, Clément-Marie Train, Kimberly J. Gilbert, Ishita Mediratta, Tarcisio Mendes de Farias, David Moi, Yannis Nevers, Hale-Seda Radoykova, Victor Rossier, Alex Warwick Vesztrocy, Natasha M. Glover, Christophe Dessimoz

Nucleic Acids Res., 2021

LipARELU: ARELU Networks aided by Lipschitz Acceleration.

Ishita Mediratta, Snehanshu Saha, Shubhad Mathur

Proceedings of the International Joint Conference on Neural Networks, 2021

A Reduced-Scale Cortical Network with Izhikevich's Neurons on SpiNNaker.

Chinmay Chiplunkar, Nishant Gautam, Ishita Mediratta, Andrew Gait, Sujith Thomas, Andrew Rowley, Teresa Serrano-Gotarredona, Basabdatta Sen Bhattacharya

Proceedings of the International Joint Conference on Neural Networks, 2021

CoCoNets: Continuous Contrastive 3D Scene Representations.

Shamit Lal, Mihir Prabhudesai, Ishita Mediratta, Adam W. Harley, Katerina Fragkiadaki

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021