Rishika Bhagwatkar
Scholar

Rishika Bhagwatkar

Google Scholar ID: YAZ0y4QAAAAJ
MS in CS at Mila, Université de Montréal
Natural Language ProcessingComputer VisionContinual LearningDeep Learning
Citations & Impact
All-time
Citations
381
 
H-index
3
 
i10-index
2
 
Publications
10
 
Co-authors
20
list available
Resume (English only)
Academic Achievements
  • Awarded the Mitacs Accelerate Fellowship worth 32,000 CAD for the project with ServiceNow Research in May 2024; awarded the Women in ML (WiML) Travel Grant to present work on Improving VLM Robustness at their workshop @ NeurIPS 2024 in December 2024; received the Outstanding Paper Award for the paper on Improving VLM Robustness at the TiFA Workshop @ ICML 2024, and presented the poster at the NextGenAISafety Workshop @ ICML 2024 in July 2024; awarded the Women in AI Scholarship worth 10,000 CAD by Mila - Quebec AI Institute in March 2024; received the Université de Montréal International Student Scholarship worth 6,000 CAD in December 2023; received the Université de Montréal Exemption Scholarship worth 20,000 CAD in September 2023; paper on Foundation Models for Time-series Prediction was presented at the NeurIPS R0-FoMo Workshop 2023 in October 2023.
Research Experience
  • Interning at ServiceNow Research, working on system-level defenses for enterprise AI agents; interned at EPFL's NLP lab during Summer@EPFL, collaborating with Prof. Antoine Bosselut and Dr. Syrielle Montariol; was a research intern at ALMAnaCH, Inria, Paris, under the supervision of Dr. Djamé Seddah; worked on the conjunction of self-supervised and continual learning with Prof. Christopher Kanan at the Rochester Institute of Technology, New York; as a DAAD WISE Scholar, worked on appraisal-based emotion recognition from social media data under Dr. Roman Klinger and Dr. Carina Silberer at the University of Stuttgart.
Education
  • Research master's student at Mila and UdeM, Montreal, under the supervision of Prof. Irina Rish. Completed bachelor's thesis on contrastive learning and domain adaptation from the Department of Electronics and Communication Engineering at the Visvesvaraya National Institute of Technology, India.
Background
  • Main research interests include robustness in multimodal models and scaling. Currently interning at ServiceNow Research with Dr. Krishnamurthy Dvijotham on robustness in agentic systems. Also collaborating with Dr. Francesco Croce and Prof. Nicolas Flammarion at the Theory of ML lab, EPFL, on the robustness of discrete representations in vision-language models.
Miscellany
  • Likes quilling, reading, and visiting new places.